Feeds:
Posts
Comments

Posts Tagged ‘medicine’

Tycho Brahe, where art thou? Today’s Renaissance of the Self-Funded Scientist!

Curator: Stephen J. Williams, Ph.D.

Article ID #114: Tycho Brahe, where art thou? Today’s Renaissance of the Self-Funded Scientist!. Published on 2/24/2014

WordCloud Image Produced by Adam Tubman

 

Every scientist usually can describe an event or an admired historical figure as their pivotal point of inspiration which led them to embark on a scientific career.

I will admit there were two points of inspiration: the first was Jacques Cousteau while watching his program Undersea World of Jacques Cousteau.

The other (and please don’t laugh) was reading about the intellectual duel and collaboration between two of the greats in astronomy and mathematics: Tycho Brahe and Johannes Kepler, two historical figures responsible for our modern-day understanding of the universe and planetary motion.  For some reason I had romanticized the study of science, envisioning days in the laboratory wearing renaissance garb while striking medieval vogue poses (just kidding). But back then, accurately determining planetary motions and mapping the stars was a real big deal, as trade ships would rely on the positioning of stars as their heavenly GPS system.  Otherwise you might be trying to establish a new trade route to India and wind up somewhere… say America.

Tycho_Brahe

Tycho Brahe (1546-1601; born Tyge Ottesen Brahe) was a Danish nobleman and scientist who made the most accurate measurement of planetary motion and positioning of the stars, which enabled another great astronomer, Johannes Kepler, to deduce the laws of planetary orbits.  His measurements allowed Kepler to prove Copernicus’s sun centered theory (Earth revolves around the sun). An interesting history of Brahe, The crazy life and crazier death of Tycho Brahe, history’s strangest astronomer, gives some in-depth look at this intriguing historical figure.

Now back then science, as is the case now, costs money; and the two ways to get that money was either find a wealthy backer (like a king) or have a rich uncle who leaves a great inheritance.  Well Tycho did have a rich uncle who left him a lot of money, but instead of just sitting around spending it on jewelry, he used a great portion of his inheritance to build his 1st observatory to make his important measurements and also discover a supernova (published in De Nova Stella), breaking the dogma at the time that stars never changed their appearance or position.

(Photo Credit: Wikipedia)

There have been other examples of self-funded scientists including:

i.            Luther Burbank (b:1845) who led the way for plant genetics.  After developing the Burbank potato he used the money from his nursery business to buy a farm to conduct plant breeding experiments

ii.            Dr. Edward Jenner who used his own funds to develop the first smallpox vaccine and later awarded money from Parliament for his development

iii.            Ritu Levi Montalcini, M.D.:  Dr. Montalcini discovered nerve growth factor together with Stanley Cohen (both awarded Nobel Prize).  After earning an MD in Turin, Italy in 1938 she was unable to work as Mussolini banned Jews from holding professional positions.  So she moved to Belgium but when the Nazi’s took over she fled back to Turin and made a secret lab to study the development of neurons in chick embryos.

Now as many government science budgets are tightening some scientist are returning to self-funding and alternative models in order to continue their research.

The Ronin Institute

One such example is the Ronin Institute, founded by Dr. Jon Wilkins, Ph.D., where scientists who may not have institutional support, band together in a sort of virtual Institute which supports publication and grantsmanship.  The mission and values of the Ronin Institute (which can be found here) includes creating new models for the conducting, funding, collaboration, and dissemination of scholarly research to get researchers back to what they do best: RESEARCH.

A wonderful and inspiring article, written by Samuel Arbesman and co-authored by Jon Wilkens, can be found in Wired magazine.

The following is an excerpt from the article about independent researchers:

“

One of us (Jon Wilkins), has set out to promote and support independent scholarly research through the founding of the Ronin Institute. The Ronin Institute acts as an aggregator for the fractional scholars of the world, providing an institutional affiliation, connection with other fractional scholars, and support for conference travel and grant applications.

When people are doing something that they are passionate about, they work harder and produce a better product. Thus, underemployed scholars represent in some sense a good that is currently trading well below its actual value. By providing a mechanism for those who wish to conduct research, we can allow these people to engage in their passions while growing the base of scholarly knowledge, which in turn has the potential to create further economic growth.

Through the Ronin Institute, we will be harnessing the skills and talents of thousands of underemployed researchers.

“

Some more articles on the Ronin Institute can be found on their site at http://ronininstitute.org/press/

Two other great articles on “gentlemen scientists” or self-funding scientists can be found at the Singular Scientist blog post entitled “Self-Funding in Science” and a 1998 Science article by Jon Cohen entitled Scientists Who Fund Themselves.  In each case, scientists felt freed up from the financial overhead accompanied with big institutions and realized more time for their research.

Alternate Funding Source: CROWDSOURCING

The passage of the JOBS act has relieved some of the pressures off obtaining funding for companies through crowdfunding mechanisms.  Scientists are also turning to crowdsourcing mechanisms to fund their research.  An article in the Washington Times (Scientists discover ‘crowdfunding’ as a way of replacing research grants) highlights some of the successes and science-related crowdfunding sites that exist.

Science-related Crowdfunding sites include:

i.            Rockethub

ii.            SciFund Challenge

iii.            Microryza

iv.            Kickstarter

v.            Petridish.org

Digital Tools and Lab Space for the Self-Funding Scientist

Dr. Elizabeth Iorns, breast cancer researcher and founder and CEO of Science Exchange, an online marketplace for ordering science experiments from various nationwide and worldwide labs, explains in a three-part Nature blog post “Research 2.0.1: The future of research funding” how the traditional government-based grant-funding model may transition into a more crowdfunding model.  For example Science Exchange allows you to order common laboratory procedures (for example immunohistochemistry or bioinformatics analysis or gene sequencing) from a list of participating labs in the marketplace.  Prices are usually reasonably priced.

Finding Lab Space: Biohacker Labs

The last piece of the puzzle is finding rented space and equipment to do research.  A new type of laboratory space, small, nimble, and priced and equipped to fit the independent researcher is cropping up.  Termed biohacker labs or hackubators, these small rented communal spaces are different from the traditional bio-incubators or science centers which sprang up decades ago to foster the biotech revolution.  This phenomenon is explained quite nicely in a Science article by Virginia Gewen “Biotechnology: Independent Streak”.  These spaces can go for $100-400 a month, much less than $900 a month for incubator space. Most of the investigators highlighted in the article get funds through crowdsourcing.

One such hackubator lab is Bio, Tech and Beyond, a DIY lab in San Diego which supports numerous projects using 3D printing, cell culture, and sequencing.  These type of DIY biolabs are springing up all over, based on the idea from tech hacker DIY labs, although before the expense seemed to be the limiting factor.  Now it appears the internet is once again revolutionizing another industry, namely that of the independent bio researcher

…. Sans the 16th century fashion (what a shame!)

Other posts on this site about Science Funding, Crowdsourcing, and Open Innovation include:

10 heart-focused apps & devices are crowdfunding for American Heart Association’s open innovation challenge

Importance of Funding Replication Studies: NIH on Credibility of Basic Biomedical Studies

Digital Health: SXSW Interactive 2014, March 9, 2014, Startup Village, Hilton Austin Downtown, 4th Floor

MENSANA THERAPEUTICS PROPOSAL FOR FUNDING IN CHINA

Fourth Annual QPrize Competition to Fund the World’s Next Groundbreaking Startups by Qualcomm Ventures

Gamification of Genomics and Proteomics Research

Collaborations and Open Access Innovations – CHI, BioIT World, 4/29 – 5/1/2014, Seaport World Trade Center, Boston

The Fatal Self Distraction of the Academic Publishing Industry: The Solution of the Open Access Online Scientific Journals

e-Recognition via Friction-free Collaboration over the Internet: “Open Access to Curation of Scientific Research”

Investing and inventing: Is the Tango of Mars and Venus Still on

2013 Genomics: The Era Beyond the Sequencing of the Human Genome: Francis Collins, Craig Venter, Eric Lander, et al.

conceived: NEW Definition for Co-Curation in Medical Research

Read Full Post »

Genomics in Medicine – Establishing a Patient-Centric View of Genomic Data

Reporter: Aviva Lev-Ari, PhD, RN

UPDATED on 12/13, 2013

Second  Annual
Genomics in Medicine
Establishing a Patient-Centric View of  Genomic Data
February 13-14, 2014 | San Francisco,  CA

Dr. Michael Christman, President and CEO of the  Coriell Institute for Medical Research, to Present “Using a  Patient’s Genetic Information in the Real World” at the Second  Annual Genomics in Medicine  Symposium

When  a patient needs a new prescription, it will be necessary for the  physician to quickly and securely access his/her genetic data to  understand drug efficacy prior to dosing. Who will patients and  doctors trust to store and interpret the data? Coriell and the CPMC  research study have defined several of the key barriers to  accelerate the adoption and routine use of genomics in medicine and  have proposed solutions that are generally  applicable.

Dr.  Christman is an expert in genetics and genomics, with a focus on the  integration of genome information into the delivery of clinical  care. In 2007, he joined Coriell and initiated the Coriell  Personalized Medicine Collaborative® (CPMC®), a research study  evaluating the utility of using the knowledge of genetics in  medicine. Prior to joining Coriell, he served as professor and  founding chair of the Department of Genetics and Genomics for Boston  University School of Medicine. There he led an international team of  scientists in one of the first genome-wide association studies using  the Framingham Heart Study cohort, published in Science magazine.  Dr. Christman received his bachelor’s degree in chemistry with  honors from the University of North Carolina, Chapel Hill, his  doctorate in biochemistry from the University of California,  Berkeley, and was a Jane Coffin Childs postdoctoral fellow at the  Massachusetts Institute of Technology.

FINAL AGENDA

RETURNING GENOMIC INFORMATION TO THE  PATIENT

KEYNOTE  PRESENTATION
Incidental Findings in Genomic  Medicine: The Debate and the Data
Robert C.  Green, M.D., MPH, Director, G2P Research Program; Associate  Director, Research, Partners Center for Personalized Genetic  Medicine, Division of Genetics, Department of Medicine, Brigham and  Women’s Hospital and Harvard Medical  School

Genomic Medicine Implementations for  Primary Care
Erwin Bottinger, M.D., The Irene and  Dr. Arthur Fishberg Professor of Medicine; Director, The Charles  Bronfman Institute for Personalized Medicine, Icahn School of  Medicine, Mount Sinai

Ethical Issues Related to the  Return of Incidental Findings in  Children/Families
Ingrid A. Holm, M.D., MPH,  Director, Phenotyping Core, Program in Genomics, Divisions of  Genetics and Endocrinology, Boston Children’s  Hospital

EMERGING TOOLS TO ENABLE  PHYSICIAN USE

Reducing the Complexity of  Clinical Omics Reporting for Clinicians and  Laboratories   [Listen  to Podcast <http://www.chicorporate.com/click-thru/131500/?email=avivalev-ari@alum.berkeley.edu> ]
Jonathan Hirsch, Founder &  President, Syapse

Beyond Sequence: Integration of Full-Genome  Technologies for Personalized Medicine in the  Clinic
Raphael Lehrer, Founder and Chief Scientist,  GeneKey

Targeted NGS of Clinical Samples:  Overcoming the Challenges of Obtaining High Quality Data from Low  Quality DNA
Diane Ilsley, Ph.D., Marketing Manager,  Genomic Services, Asuragen
Sponsored  by:
<http://www.asuragen.com/>

BRIDGING THE  GAP BETWEEN RESEARCH AND  TREATMENT

Genome Sequencing in the Clinic:  Found the Variants – Now What?
Jennifer Friedman,  M.D., Associate Clinical Professor, Neurosciences and Pediatrics,  UCSD/Rady Children’s Hospital San Diego

The  Answer is There, but I Don’t Understand It: Solutions from the Front  Line
Vanya Gant, Ph.D., FRCP, FRCPath, Divisional  Clinical Director for Infection, The Department of Microbiology,  UCLH NHS Foundation Trust

Using a Patient’s  Genetic Information in the Real World
Michael F.  Christman, Ph.D., President and CEO, Coriell Institute for Medical  Research

Developing Clinical Sequencing Assays  at Einstein-Montefiore
Cristina Montagna, Ph.D.,  Associate Professor, Genetics, Albert Einstein College of  Medicine

THE IMPACT OF DTC  TESTING

Direct-to-Consumer Genetic  Testing: Balancing the Good and the Bad
Nazneen  Aziz, Ph.D., Director, Molecular Medicine, Transformation Program  Office, College of American  Pathologists

Crowdsourcing Genetic  Discovery
Nicholas Eriksson, Ph.D., Principal  Scientist, Statistical Genetics,  23andMe

Personal Genomics through Smart Digital  Media
Patrick Merel, Ph.D., Founder & CEO,  Portable Genomics

> Sponsored Presentation  (Opportunities  Available
<http://www.triconference.com/click-thru/127354/?email=avivalev-ari@alum.berkeley.edu> )

The Ethical and Social  Implications of Direct-to-Consumer Genetic  Testing
Sandra Soo-Jin Lee, Ph.D., Senior Research  Fellow, Center for Biomedical Ethics, Stanford University Medical  School

THE IMPACT AND EVOLVING ROLE OF  GENETIC COUNSELING

Next-Generation Genetic  Counseling
Ramji Srinivasan, CEO & Co-Founder,  Counsyl

TDTC(CC) – Consumers, Clinicians and  Counseling
Erica Ramos, MS, CGC, Clinical Genomics  Specialist, Certified Genetic Counselor, Translational and Consumer  Genomics, Illumina, Inc.

For  exhibit and sponsorship information, including sponsored  podium presentations <http://www.triconference.com/click-thru/127354/?email=avivalev-ari@alum.berkeley.edu> , please  contact:

Jon Stroup  (Companies A-K)
Manager, Business  Development
Cambridge Healthtech Institute
T: (+1)  781-972-5483
E: jstroup@healthtech.com

Joseph Vacca (Companies  L-Z)
Manager, Business Development
Cambridge Healthtech  Institute
T: (+1) 781-972-5431
E: jvacca@healthtech.com 

Cambridge Healthtech Institute’s Second Annual

Part of the 21st Annual Molecular Medicine Tri-Conference
February 13-14, 2014 | Westin St. Francis | San Francisco, CA

Cambridge Healthtech Institute’s Second Annual Genomics in Medicine symposium will provide insight into common implementation issues as they relate to practicing clinicians, as well as address the evolving role of genomics in guiding diagnoses and treatments. Special focus will be given to processing and delivering complex data to the practicing physician. Integration of decision-making tools with existing patient records will also be discussed. This symposium will provide a forum for those hoping to learn more about genomic medicine as well as those currently practicing and looking for an update on the field’s latest advances.

Thursday, February 13

7:30 am Registration and Morning Coffee

RETURNING GENOMIC INFORMATION TO THE PATIENT

9:00 Chairperson’s Opening Remarks

9:05 KEYNOTE PRESENTATION:

Incidental Findings in Genomic Medicine: The Debate and the Data

Robert C. Green, M.D., MPH, Director, G2P Research Program; Associate Director, Research, Partners Center for Personalized Genetic Medicine, Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School

Genomics is being rapidly integrated into medicine with many unanswered questions about how and how much risk information should be communicated, and how such information will influence physician and patient behaviors, health outcomes and health care costs. This presentation will summarize data from over 10 years of experimental work in translational genomics and health outcomes, discuss recent ACMG recommendations for incidental findings and preview results from our newest NIH-funded studies, the ongoing MedSeq Project and the recently funded BabySeq Project.

9:35 Genomic Medicine Implementations for Primary Care

Erwin Bottinger, M.D., The Irene and Dr. Arthur Fishberg Professor of Medicine; Director, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine, Mount Sinai

Increasingly, genomic discoveries provide opportunities to personalize medication use and prediction and prevention of common chronic diseases. However, effective integration of genomic medicine in busy primary care practices is hampered by multiple barriers, including provider education gaps and negative impact on clinical workflow. Innovative programs for real-time, point-of-care integration of genomic medicine for primary care providers through genome-informed clinical decision support enabled in electronic health records will be presented.

10:05 Ethical Issues Related to the Return of Incidental Findings in Children/Families

Ingrid A. Holm, M.D., MPH, Director, Phenotyping Core, Program in Genomics, Divisions of Genetics and Endocrinology, Boston Children’s Hospital

10:35 Coffee Break with Exhibit and Poster Viewing

EMERGING TOOLS TO ENABLE PHYSICIAN USE

11:05 Reducing the Complexity of Clinical Omics Reporting for Clinicians and Laboratories

Jonathan Hirsch, Founder & President, Syapse

Syapse has built a cloud-based software platform that enables the use of omics at the point of care through an interactive web portal. We will describe how clinical omics labs use the Syapse platform to maintain an evolving omics knowledgebase which drives updated clinical reporting through interactive, intuitive interfaces designed for ease of use and comprehension. We will describe how hospitals use the Syapse platform to place omics results in the context of clinical guidelines, enabling physicians to easily adopt and integrate omics into their clinical workflow.

11:35 Beyond Sequence: Integration of Full-Genome Technologies for Personalized Medicine in the Clinic

Raphael Lehrer, Founder and Chief Scientist, GeneKey

Here we describe how we have used a combination of multiple full genome technologies to triangulate on key dysregulated mechanisms in a patient’s sample. By using a combination of systems biology and statistical analysis, we are able to draw conclusions far more precise than one could from sequence alone. We describe how we have applied in the clinic with patients and their oncologists and what we have seen/learned to date, including cases where the dysfunction is not mutation-based.

Sponsored by

Asuragen

12:05 pm Targeted NGS of Clinical Samples: Overcoming the Challenges of Obtaining High Quality Data from Low Quality DNA

Diane Ilsley, Ph.D., Marketing Manager, Genomic Services, Asuragen

12:35 Luncheon Presentation (Sponsorship Opportunity Available) or Lunch on Your Own

1:05 Session Break

BRIDGING THE GAP BETWEEN RESEARCH AND TREATMENT

1:50 Chairperson’s Remarks

1:55 Genome Sequencing in the Clinic: Found the Variants – Now What?

Jennifer Friedman, M.D., Associate Clinical Professor, Neurosciences and Pediatrics, UCSD/Rady Children’s Hospital San Diego

Advances in genome sequencing hold tremendous promise for providing answers and tailored therapies for undiagnosed patients. How to interpret, transmit and act upon volumes of complex data remains a challenge for sequencing providers, physicians and their patients. This presentation will use case-based examples to demonstrate promises and pitfalls encounter along the way.

2:25 The Answer is There but I Don’t Understand It: Solutions from the Front Line

Vanya Gant, Ph.D., FRCP, FRCPath, Divisional Clinical Director for Infection, The Department of Microbiology, UCLH NHS Foundation Trust

This talk will introduce the concept and fundamental problem of how to present complex NGS datasets to clinicians – and how this will be critical for rapid uptake. A case study outlining the principles behind a very new and innovative pathology project and way of delivering healthcare diagnostics will also be presented.

2:55 Refreshment Break with Exhibit and Poster Viewing

3:25 Using a Patient’s Genetic Information in the Real World

Michael F. Christman, Ph.D., President and CEO, Coriell Institute for Medical Research

When a patient needs a new prescription, it will be necessary for the physician to quickly and securely access his/her genetic data to understand drug efficacy prior to dosing. Who will patients and doctors trust to store and interpret the data? Coriell and the CPMC research study have defined several of the key barriers to accelerate the adoption and routine use of genomics in medicine and have proposed solutions that are generally applicable.

3:55 Developing Clinical Sequencing Assays at Einstein-Montefiore

Cristina Montagna, Ph.D., Associate Professor, Genetics, Albert Einstein College of Medicine

We developed a program to introduce Next-Generation Sequencing (NGS) to address the needs of individuals receiving clinical care at Montefiore Medical Center. After extensive dialogue with clinicians, we designed a custom gene panel, spanning 5Mb and consisting of 650 genes targeting known Mendelian loci, some pediatric diseases and several hotspot genes in various cancer types. By building a basic infrastructure for transitioning NSG in the clinic we have encountered roadblocks and established protocols to overcome these.

4:25 Breakout Discussions (see website for details)

5:25 Close of Day

Read Full Post »

AACR announces AACR Progress Report 2013

Stephen J. Williams: Curator

Article ID #79: AACR announces AACR Progress Report 2013. Published on 9/19/2013

WordCloud Image Produced by Adam Tubman

The American Association for Cancer Research (AACR) presented a webinar of the highlights of their yearly progress report (released yesterday and available on the AACR website) on the recent advances and current status of cancer research and cancer research’s impact on health outcomes in the United States.  This report, compiled by staff of AACR, with special thanks to the efforts of Dr. Karen Honey, Ph.D, reports on the current achievements in cancer research including developments in immunotherapies, new drug approvals, health outcomes, newly approved imaging modalities, and the current state of affairs of funding for cancer research and clinical trials.  The report also describes the impact and timeline of discoveries leading to the use of genomics and personalized medicine in cancer treatment.  The last portion of the report is an “AACR Call to Action”, imploring cancer patient activists, scientists, and citizens to write their representatives in Washington for increased funding for cancer research and clinical trials.  The report and presentation will be given to lawmakers on Capital Hill on Spetmeber 19, 2013 as part of Hill Day’s Rally for Medical Research.

The presentation, given on September 18, 2013 at the National Press Club in Washington DC) was headed by AACR CEO Dr. Marge Foti, M.D., Ph.D. with presentations given by

  • Dr. Charles Sawyers, M.D. (Memorial Sloan Kettering)
  • Dr. Drew M. Pardoll, M.D., Ph.D. (Sidney Kimmel Cancer Center, Johns Hopkins)
  • 3 cancer survivors

Below is a brief summary of each of their talks.  The downloadable AACR Progress Report 2013 can be found here and a link to the video can also be found at the AACR website.

Marge Foti, M.D., Ph.D. (Chief Executive Officer, American Association Cancer Research)

Although Dr. Foti mentioned the grim statistic in the US 580,000 this year will die of cancer, she gave multiple statistics on the great progress the US has achieved since staring the “War on Cancer” in 1971 and the future progress which lies ahead.  Notably (from the report)

  • From 1990 to 2012 over 1 million cancer patients lives have been saved
  • There are over 13 million cancer survivors today
  • For the year 2012-2013 FDA has approved
  1. 11 new cancer drugs
  2. 3 new uses of previously approved drugs
  3. 3 new imaging modalities and protocols for cancer detection

However Dr. Foti also stressed the speed of progress is being pressured by diminishing federal funds for cancer research and clinical trials.  Dr. Foti noted:

  • In mid 90’s there was a doubling of federal funds to the NCI
  • Since 2003 however funding has not kept up with “biomedical inflation” (not risen adjusted for current inflation)
  • Sequester has been a big pressure on biomedical and cancer research capacity
  • Funding cuts also decrease the number of patients that can enroll in clinical trials

Charles Sawyers, M.D. (Howard Hughes Medical Institute investigator and Director at Memorial Sloan-Lettering Cancer Center)

Dr. Sawyers’s research work involves the signaling pathways involved in conferring growth advantage to cancerous cells.  His work led to the development of numerous targeted therapies such as imatinib (Gleevec) for CML (chronic myeloid leukemia).  He referred to these therapies as “precision medicine” and noted there were only 5 such therapies 10 years ago but now 17 such precision medicines five years ago for cancer, “ a complex host of diseases”.

Dr. Sawyers reflected this is the “most serious funding crisis in decades” and we are “already losing momentum” due to the current funding crisis.

Drew M. Pardoll, M.D. Ph.D. (Professor, Co-Director Division Immunology, Johns Hopkins)

Dr. Pardoll is a leader in the fielod of immunotherapy for cancer and his work is pioneering a new clas of immunotherapies, such as PD1 inhibitors, which supports the cancer patient’s own immune system to fight and kill the patient’s own cancer cells.  Dr. Pardoll had mentioned early work on immunotherapy had revealed its potential but researchers are now realize this is the “5th pillar of cancer therapy”.  Because of research done in the early 2000’s, cancer researchers such as Dr. Pardoll figured out mechanisms how to make these immunotherapies more reproducible in clinical trials.  This led to the discovery of CTLA4 and PD1 as major regulators of the immune tolerance to cancer cells (see post Combined anti-CTLA4 and anti-PD1 immunotherapy shows promising results against advanced melanoma).

Dr. Pardoll also mentioned how he, and others, noticed that the pharmaceutical industry is now looking to academia to keep driving the science and that patient advocates are very important partner in the discovery process.

Moving presentation were also given by three cancer survivors (breast cancer, ovarian cancer, and  childhood leukemia) which all attested that without ground-breaking clinical research they might not have survived their deadly cancer.

Please see the following website below about the Rally for Medical Research to see how you can get involved in supporting cancer research in the US, and contacting your representative.

Rally for Medical Research Hill Day

September 18, 2013

Federal funding for medical research is in jeopardy, threatening the health of Americans. On September 18, 2013, a broad coalition of groups from the medical research advocacy community will meet with House and Senate offices in Washington, D.C., to urge Congress to invest in the National Institutes of Health for the health and economic security of our nation.

Sponsoring organizations will join the Rally for Medical Research Hill Day to raise awareness during a critical time about the urgent need for a sustained investment in the NIH to improve health, spur more progress, inspire more hope and save more lives.

More articles on Progress on the War on Cancer from this site include:

2013 Perspective on “War on Cancer” on December 23, 1971

2013 American Cancer Research Association Award for Outstanding Achievement in Chemistry in Cancer Research: Professor Alexander Levitzki

Read Full Post »

Following (or not) the guidelines for use of imaging in management of prostate cancer.

Writer and curator: Dror Nir, PhD

Over diagnosis and over treatment is a trend of the last two decades. It leads to increase in health-care costs and human-misery.

The following headline on Medscape; Swedes Show That We Can Improve Imaging in Prostate Cancer elicited my curiosity.

I was expecting “good news” – well, not this time!

In spite the “general language” the study that the above mentioned headline refers to is not addressing the global use of imaging in prostate cancer patients’ pathway but is specific to use of radionuclide bone-scans as part of patients’ staging.  The “bad-news” are that realization that the Swedish government had to invest many man-years to achieve “success” in reducing unnecessary use of such imaging in low risk patients. Moreover, the paper reveals under-use of such imaging technology for staging high risk prostate cancer patients.

Based on this paper, one could come to the conclusion that in reality, we are facing long lasting non-conformity with established guidelines related to the use of “full-body” imaging as part of the prostate cancer patients’ pathway in Europe and USA.

Here is a link to the original paper:

Prostate Cancer Imaging Trends After a Nationwide Effort to Discourage Inappropriate Prostate Cancer Imaging, Danil V. Makarov, Stacy Loeb, David Ulmert, Linda Drevin, Mats Lambe and Pär Stattin Correspondence to: Pär Stattin, MD, PhD, Department of Surgery and Perioperative Sciences, Urology and Andrology, Umeå University, SE- 901 87 Umeå, Sweden (e-mail:par.stattin@urologi.umu.se).

JNCI J Natl Cancer Inst (2013)doi: 10.1093/jnci/djt175

 

For convenience, here are the highlights:

  • Reducing inappropriate use of imaging to stage incident prostate cancer is a challenging problem highlighted recently as a Physician Quality Reporting System quality measure and by the American Society of Clinical Oncology and the American Urological Association in the Choosing Wisely campaign.

 

  • Since 2000, the National Prostate Cancer Register (NPCR) of Sweden has led an effort to decrease national rates of inappropriate prostate cancer imaging by disseminating utilization data along with the latest imaging guidelines to urologists in Sweden.

  • Results Thirty-six percent of men underwent imaging within 6 months of prostate cancer diagnosis. Overall, imaging use decreased over time, particularly in the low-risk category, among whom the imaging rate decreased from 45% to 3% (P < .001), but also in the high-risk category, among whom the rate decreased from 63% to 47% (P < .001). Despite substantial regional variation, all regions experienced clinically and statistically (P < .001) significant decreases in prostate cancer imaging.

 

t1

t2

fig1

fig2

  • These results may inform current efforts to promote guideline-concordant imaging in the United States and internationally.

  • In 1998, the baseline low-risk prostate cancer imaging rate in Sweden was 45%. Per the NCCN guidelines (7), none of these men should have received bone imaging unless they presented with symptoms suggestive of bone pain (8,24). In the United States, the imaging rate among men with low-risk prostate cancer has been reported to be 19% to 74% in a community cohort and 10% to 48% in a Surveillance Epidemiology and End Results (SEER)–Medicare cohort (10–13,16). It is challenging to compare these rates directly across the two countries because the NPCR aggregates all staging imaging into one variable. However, our sampling revealed that 88% of those undergoing imaging had at least a bone scan, whereas only 11% had any CTs and 10% had any MRI. This suggests that baseline rates of bone scan among low-risk men in Sweden were similar to those among their low-risk counterparts in the United States, whereas rates of axial imaging were likely much lower. During the study period, rates of prostate cancer imaging among low-risk men in Sweden decreased to 3%, substantially lower than those reported in the United States at any time.

  • Miller et al. describe a decline in imaging associated with a small-scale intervention administered in three urology practices located in the United States participating in a quality-improvement consortium. Our study’s contribution is to demonstrate that a similar strategy can be applied effectively at a national scale with an associated decline in inappropriate imaging rates, a finding of great interest for policy makers in the United States seeking to improve health-care quality.

  • In 1998, the baseline high-risk prostate cancer imaging rates in Sweden were 63%, and decreased by 43% in 2008 (rising slightly to 47% in 2009). Based on our risk category definitions and the guidelines advocated in Sweden, all of these men should have undergone an imaging evaluation (8,24). Swedish rates of prostate cancer imaging among men with high-risk disease are considerably lower than those reported from the SEER–Medicare cohort, where 70% to 75% underwent bone scan and 57% to 58% underwent CT (13,16). These already low rates of imaging among men with high-risk prostate cancer only decreased further during the NPCR’s effort to promote guideline-concordant imaging. Clearly in both countries, imaging for high-risk prostate cancer remains underused despite the general overuse of imaging and numerous guidelines encouraging its appropriate use (3–9).

Similar items I have covered on this this Open Access Online Scientific Journal:

Not applying evidence-based medicine drives up the costs of screening for breast-cancer in the USA.

Read Full Post »

Nitric Oxide Mitigates Sensitivity of Melanoma Cells to Cisplatin

Reporter/Curator: Stephen J. Williams, Ph.D.

Article ID #75: Nitric Oxide Mitigates Sensitivity of Melanoma Cells to Cisplatin. Published on 8/7/2013

WordCloud Image Produced by Adam Tubman

Screen Shot 2021-07-19 at 7.12.54 PM

Word Cloud By Danielle Smolyar

Picture of a human melanoma cell line growing in tissue culture

Cultured human melanocytes .

Nitric oxide (NO), a gas with many biological functions in healthy cells, has also been implicated in the development of pathologies such as cancer.  Nitric oxide may also play a role in chemotherapeutic reisitance. For example it had been known (in the 1996 Melanoma study by Joshi et al. curated below) that nitric oxide synthase activity (the enzyme system which produces NO) was significantly elevated in cultured melanoma cell lines versus normal melanocytes.   Although it is known that many protein and enzymes systems could be directly covalently-modified by nitric oxide, either by S-nitrosylation or NO-NAD+ modifications (one of my earlier postings described one such protein modified by nitric oxide, GAPDH, and the effect these NO-modifications of GAPDH has on the etiology of various pathologies.), the molecular mechanisms by which these modifications affect cellular processes, lead to disease etiology, the proteins which are affected, and mechanisms related to chemotherapeutic sensitivity need to be further characterized. A new study from MIT reveals how NO-induced modifications may reduce cisplatin sensitivity in melanoma cells.  This study focuses on how decreasing nitric oxide levels in melanoma cells increases their cisplatin sensitivity.  The study also describes a possible mechanism for this effect: NO-induced modifications of the proapoptotic enzyme caspace-3 and prolyl-hdroxylase-2 (responsible for targeting prosurvival HIF-1α for proteosomal degradation).  Also, for a description of other cancer-related targets of nitric oxide please see the posting by Dr. Saxena at Crucial role of Nitric Oxide in Cancer on this site.

To read more background on nitric oxide and its role in disease etiology please see our e-book Perspectives on Nitric Oxide in Disease Mechanisms (Biomed e-Books) available on Amazon at:

http://www.amazon.com/Perspectives-Nitric-Disease-Mechanisms-ebook/dp/B00DINFFYC

      It is important, however, to note that most of these relationships between NO-induced protein modification and its relationship to disease mechanisms are causal, meaning that, in general, one notices a nitric-induced modification of a protein/enzyme with concomitant alteration of protein/enzyme function occurring in a disease/phenotype.  However, unlike reversible modifications, which have a cadre of pharmacologic inhibitors, nitric oxide induced modifications are covalent and nonenzymatic, therefore hindering easy cause/effect relationships.

With that said, the following was adapted from the MIT site at http://web.mit.edu/newsoffice/2013/how-melanoma-evades-chemotherapy-0407.html.

  

 

The findings from Dr. Luiz Godoy’s PNAS paper ENDOGENOUSLY PRODUCED NITRIC OXIDE MITIGATES SENSITIVITY OF MELANOMA CELLS TO CISPLATIN,  were presented at the 2013 annual meeting of the American Association for Cancer Research. The prognosis is generally worse for patients whose tumors have high levels of NO, said Luiz Godoy, an MIT research associate and lead author of the study.

Godoy and his colleagues have unraveled the mechanism behind melanoma’s resistance to cisplatin, a commonly used chemotherapy drug, and, in ongoing studies, have found that cisplatin treatment also increases NO levels in breast and colon cancers.

“This could be a mechanism that is widely shared in different cancers, and if you use the drugs that are already used to treat cancer, along with other drugs that could scavenge or decrease the production of NO, you may have a synergistic effect,” said Godoy, who works in the lab of Gerald Wogan, an MIT professor emeritus of biological engineering and senior author of the study.

NO has many roles within living cells. At low concentrations, it helps regulate processes such as cell death and muscle contraction. NO, which is a free radical, is also important for immune-system function. Immune cells, such as macrophages, produce large amounts of NO during infection, helping to kill invading microbes by damaging their DNA or other cell components.

“It’s really a molecule that has a dual effect,” Godoy said. “At low concentrations it can act as a signaling molecule, while high concentrations will be toxic.”

Knocking out NO

In the new study, the researchers treated melanoma cells grown in the lab with drugs that capture NO before it can act. They then treated the cells with cisplatin and tracked cell-death rates. The NO-depleted cells became much more sensitive to the drug, confirming earlier findings.

The MIT team then went a step further, investigating how NO confers its survival benefits. It was already known that NO can alter protein function through a process known as S-nitrosation, which involves attaching NO to the target protein. S-nitrosation can affect many proteins, but in this study the researchers focused on two that are strongly linked with cell death and survival, known as caspase-3 and PHD2.

The role of caspase-3 is to stimulate cell suicide, under the appropriate conditions, but adding NO to the protein deactivates it. This prevents the cell from dying even when treated with cisplatin, a drug that produces massive DNA damage.

PHD2 is also involved in cell death; its role is to help break down another protein called HIF-1 alpha, which is a pro-survival protein. When NO inactivates PHD2, HIF-1 alpha stays intact and keeps the cell alive.

“Now we have a mechanistic link between nitric oxide and the increased aggressiveness of melanoma,” said Douglas Thomas, an assistant professor of medicinal chemistry and pharmacognosy at the University of Illinois at Chicago, who was not part of the research team. “It certainly would be worth exploring whether this mechanism is also present in different tumor types as well.”

The MIT researchers also found in some cancer cells, NO levels were five times higher than normal following cisplatin treatment. Godoy is now investigating how cisplatin stimulates that NO boost, and is also looking for other proteins that NO may be targeting.

Source: http://web.mit.edu/newsoffice/2013/how-melanoma-evades-chemotherapy-0407.html

Melanoma Res. 1996 Apr;6(2):121-6.

Nitric oxide synthase activity is up-regulated in melanoma cell lines: a potential mechanism for metastases formation.

Joshi M, Strandhoy J, White WL.

Source

Department of Dermatology, Bowman Gray School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA.

Abstract

Nitric oxide (NO) may be an important mediator of tumour angiogenesis and metastasis formation. Tumour cell derived NO may be important in the regulation of angiogenesis and vasodilatation of the blood vessels surrounding a tumour. The aims of the present study were, firstly, to determine whether malignant melanoma cells and normal melanocytes had nitric oxide synthase (NOS) activity (measured by the conversion of L-arginine to L-citrulline) and, secondly, to determine whether there was a difference in NOS activity between malignant and normal cell types. This paper assays NOS activity directly in lysates from normal human melanocyte and malignant melanoma cell lines. The enzyme activity was not inducible with bacterial lipopolysaccharide and could be heat denatured. The activity of NOS was demonstrated to be both NADPH- and calcium-dependent and it was inhibitable in a dose-dependent manner by the NOS inhibitor Nw-nitro-L-arginine methyl ester. We conclude that melanoma and melanocyte cells express a constitutive form of NOS. Finally, nitric oxide synthase activity in melanoma cell lines was found to be significantly greater than in normal melanocytes. These findings suggest that NO synthesis is elevated in malignant melanoma. An elevated NO concentration in melanoma is expected to promote metastases by maintaining a vasodilator tone in the blood vessels in and around the melanoma.

Proc Natl Acad Sci U S A. 2012 Dec 11;109(50):20373-8. doi: 10.1073/pnas.1218938109. Epub 2012 Nov 26.

Endogenously produced nitric oxide mitigates sensitivity of melanoma cells to cisplatin.

Godoy LC, Anderson CT, Chowdhury R, Trudel LJ, Wogan GN.

Source

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Abstract

Melanoma patients experience inferior survival after biochemotherapy when their tumors contain numerous cells expressing the inducible isoform of NO synthase (iNOS) and elevated levels of nitrotyrosine, a product derived from NO. Although several lines of evidence suggest that NO promotes tumor growth and increases resistance to chemotherapy, it is unclear how it shapes these outcomes. Here we demonstrate that modulation of NO-mediated S-nitrosation of cellular proteins is strongly associated with the pattern of response to the anticancer agent cisplatin in human melanoma cells in vitro. Cells were shown to express iNOS constitutively, and to generate sustained nanomolar levels of NO intracellularly. Inhibition of NO synthesis or scavenging of NO enhanced cisplatin-induced apoptotic cell death. Additionally, pharmacologic agents disrupting S-nitrosation markedly increased cisplatin toxicity, whereas treatments favoring stabilization of S-nitrosothiols (SNOs) decreased its cytotoxic potency. Activity of the proapoptotic enzyme caspase-3 was higher in cells treated with a combination of cisplatin and chemicals that decreased NO/SNOs, whereas lower activity resulted from cisplatin combined with stabilization of SNOs. Constitutive protein S-nitrosation in cells was detected by analysis with biotin switch and reduction/chemiluminescence techniques. Moreover, intracellular NO concentration increased significantly in cells that survived cisplatin treatment, resulting in augmented S-nitrosation of caspase-3 and prolyl-hydroxylase-2, the enzyme responsible for targeting the prosurvival transcription factor hypoxia-inducible factor-1α for proteasomal degradation. Because activities of these enzymes are inhibited by S-nitrosation, our data thus indicate that modulation of intrinsic intracellular NO levels substantially affects cisplatin toxicity in melanoma cells. The underlying mechanisms may thus represent potential targets for adjuvant strategies to improve the efficacy of chemotherapy.

Other posts on this site regarding Nitric Oxide and Cancer include:

Crucial role of Nitric Oxide in Cancer

Nitric Oxide Covalent Modifications: A Putative Therapeutic Target?

Nitric Oxide has a ubiquitous role in the regulation of glycolysis -with a concomitant influence on mitochondrial function

Nitric Oxide Signalling Pathways

In focus: Melanoma therapeutics

Combined anti-CTLA4 and anti-PD1 immunotherapy shows promising results against advanced melanoma

Whole exome somatic mutations analysis of malignant melanoma contributes to the development of personalized cancer therapy for this disease

In focus: Melanoma therapeutics

In focus: Melanoma Genetics

Read Full Post »

 

Abstract:

The immune response mechanism is the holy grail of the human defense system for health.   IDO, indolamine 2, 3-dioxygenase, is a key gene for homeostasis of immune responses and producing an enzyme catabolizing the first rate-limiting step in tryptophan degradation metabolism. The hemostasis of immune system is complicated.  In this review, the  properties of IDO such as basic molecular genetics, biochemistry and genesis will be discussed.

IDO belongs to globin gene family to carry oxygen and heme.  The main function and genesis of IDO comes from the immune responses during host-microbial invasion and choice between tolerance and immunegenity.  In human there are three kinds of IDOs, which are IDO1, IDO2, and TDO, with distinguished mechanisms and expression profiles. , IDO mechanism includes three distinguished pathways: enzymatic acts through IFNgamma, non-enzymatic acts through TGFbeta-IFNalpha/IFNbeta and moonlighting acts through AhR/Kyn.

The well understood functional genomics and mechanisms is important to translate basic science for clinical interventions of human health needs. In conclusion, overall purpose is to find a method to manipulate IDO to correct/fix/modulate immune responses for clinical applications.

The first part of the review concerns the basic science information gained overall several years that lay the foundation where translational research scientist should familiar to develop a new technology for clinic. The first connection of IDO and human health came from a very natural event that is protection of pregnancy in human. The focus of the translational medicine is treatment of cancer or prevention/delay cancer by stem cell based Dendritic Cell Vaccine (DCvax) development.

Table of Contents:

  • Abstract

1         Introduction: IDO gene encodes a heme enzyme

2        Location, location, location

3        Molecular genetics

4        Types of IDO:

4.1       IDO1,

4.2       IDO2,

4.3       IDO-like proteins

5        Working mechanisms of IDO

6        Infection Diseases and IDO

7. Conclusion

  1. 1.     Indoleamine 2, 3-dioxygenase (IDO) gene encodes a heme enzyme

IDO is a key homeostatic regulator and confined in immune system mechanism for the balance between tolerance and immunity.  This gene encodes indoleamine 2, 3-dioxygenase (IDO) – a heme enzyme (EC=1.13.11.52) that catalyzes the first rate-limiting step in tryptophan catabolism to N-formyl-kynurenine and acts on multiple tryptophan substrates including D-tryptophan, L-tryptophan, 5-hydroxy-tryptophan, tryptamine, and serotonin.

The basic genetic information describes indoleamine 2, 3-dioxygenase 1 (IDO1, IDO, INDO) as an enzyme located at Chromosome 8p12-p11 (5; 6) that active at the first step of the Tryptophan catabolism.    The cloned gene structure showed that IDO contains 10 exons ad 9 introns (7; 8) producing 9 transcripts.

After alternative splicing only five of the transcripts encode a protein but the other four does not make protein products, three of transcripts retain intron and one of them create a nonsense code (7).  Based on IDO related studies 15 phenotypes of IDO is identified, of which, twelve in cancer tumor models of lung, kidney, endometrium, intestine, two in nervous system, and one HGMD- deletion.

  1. 2.     Location, Location and Location

The specific cellular location of IDO is in cytosol, smooth muscle contractile fibers and stereocilium bundle. The expression specificity shows that IDO is present very widely in all cell types but there is an elevation of expression in placenta, pancreas, pancreas islets, including dendritic cells (DCs) according to gene atlas of transcriptome (9).  Expression of IDO is common in antigen presenting cells (APCs), monocytes (MO), macrophages (MQs), DCs, T-cells, and some B-cells. IDO present in APCs (10; 11), due to magnitude of role play hierarchy and level of expression DCs are the better choice but including MOs during establishment of three DC cell subset, CD14+CD25+, CD14++CD25+ and CD14+CD25++ may increase the longevity and efficacy of the interventions.

IDO is strictly regulated and confined to immune system with diverse functions based on either positive or negative stimulations. The positive stimulations are T cell tolerance induction, apoptotic process, and chronic inflammatory response, type 2 immune response, interleukin-12 production (12).  The negative stimulations are interleukin-10 production, activated T cell proliferation, T cell apoptotic process.  Furthermore, there are more functions allocating fetus during female pregnancy; changing behavior, responding to lipopolysaccharide or multicellular organismal response to stress possible due to degradation of tryptophan, kynurenic acid biosynthetic process, cellular nitrogen compound metabolic process, small molecule metabolic process, producing kynurenine process (13; 14; 15).

IDO plays a role in a variety of pathophysiological processes such as antimicrobial and antitumor defense, neuropathology, immunoregulation, and antioxidant activity (16; 17; 18; 19).

 

 3.     Molecular Genetics of IDO:

A: Structure of human IDO2 gene and transcripts. Complete coding region is 1260 bps encoding a 420 aa polypeptide. Alternate splice isoforms lacking the exons indicated are noted. Hatch boxes represent a frameshift in the coding region to an alternate reading frame leading to termination. Black boxes represent 3' untranslated regions. Nucleotide numbers, intron sizes, and positioning are based on IDO sequence files NW_923907.1 and GI:89028628 in the Genbank database. (reference: http://atlasgeneticsoncology.org/Genes/IDO2ID44387ch8p11.html)

A: Structure of human IDO2 gene and transcripts. Complete coding region is 1260 bps encoding a 420 aa polypeptide. Alternate splice isoforms lacking the exons indicated are noted. Hatch boxes represent a frameshift in the coding region to an alternate reading frame leading to termination. Black boxes represent 3′ untranslated regions. Nucleotide numbers, intron sizes, and positioning are based on IDO sequence files NW_923907.1 and GI:89028628 in the Genbank database.
(reference: http://atlasgeneticsoncology.org/Genes/IDO2ID44387ch8p11.html)

Molecular genetics data from earlier findings based on reporter assay results showed that IDO promoter is regulated by ISRE-like elements and GAS-sequence at -1126 and -1083 region (20).  Two cis-acting elements are ISRE1 (interferon sequence response element 1) and interferon sequence response element 2 (ISRE2).

Analyses of site directed and deletion mutation with transfected cells demonstrated that introduction of point mutations at these elements decreases the IDO expression. Removing ISRE1 decreases the effects of IFNgamma induction 50 fold and deleting ISRE1 at -1126 reduced by 25 fold (3). Introducing point mutations in conserved t residues at -1124 and -1122 (from T to C or G) in ISRE consensus sequence NAGtttCA/tntttNCC of IFNa/b inducible gene ISG4 eliminates the promoter activity by 24 fold (21).

ISRE2 have two boxes, X box (-114/1104) and Y Box 9-144/-135), which are essential part of the IFNgamma response region of major histocompatibility complex class II promoters (22; 23).  When these were removed from ISRE2 or introducing point mutations at two A residues of ISRE2 at -111 showed a sharp decrease after IFNgamma treatment by 4 fold (3).

The lack of responses related to truncated or deleted IRF-1 interactions whereas IRF-2, Jak2 and STAT91 levels were similar in the cells, HEPg2 and ME180 (3). Furthermore, 748 bp deleted between these elements did not affect the IDO expression, thus the distance between ISRE1 and ISRE2 elements have no function or influence on IDO (3; 24)

B: Amino acid alignment of IDO and IDO2. Amino acids determined by mutagenesis and the crystal structure of IDO that are critical for catalytic activity are positioned below the human IDO sequence. Two commonly occurring SNPs identified in the coding region of human IDO2 are shown above the sequence which alter a critical amino acid (R248W) or introduce a premature termination codon (Y359stop).

B: Amino acid alignment of IDO and IDO2. Amino acids determined by mutagenesis and the crystal structure of IDO that are critical for catalytic activity are positioned below the human IDO sequence. Two commonly occurring SNPs identified in the coding region of human IDO2 are shown above the sequence which alter a critical amino acid (R248W) or introduce a premature termination codon (Y359stop).

4.     There are three types of IDO in human genome:

IDO was originally discovered in 1967 in rabbit intestine (25). Later, in 1990 the human IDO gene is cloned and sequenced (7).  However, its importance and relevance in immunology was not created until prevention of allocation of fetal rejection and founding expression in wide range of human cancers (26; 27).

There are three types of IDO, pro-IDO like, IDO1, and IDO2.  In addition, another enzyme called TDO, tryptophan 2, 3, dehydrogenase solely degrade L-Trp at first-rate limiting mechanism in liver and brain.

4.1.  IDO1:

IDO1 mechanism is the target for immunotherapy applications. The initial discovery of IDO in human physiology is protection of pregnancy (1) since lack of IDO results in premature recurrent abortion (28; 26; 29).   The initial rate-limiting step of tryptophan metabolism is catalyzed by either IDO or tryptophan 2, 3-dioxygenase (TDO).

Structural studies of IDO versus TDO presenting active site environments, conserved Arg 117 and Tyr113, found both in TDO and IDO for the Tyr-Glu motif, but His55 in TDO replaced by Ser167b in IDO (30; 2). As a result, they are regulated with different mechanisms (1; 2) (30).  The short-lived TDO, about 2h, responds to level of tryptophan and its expression regulated by glucorticoids (31; 32).  Thus, it is a useful target for regulation and induced by tryptophan so that increasing tryptophan induces NAD biosynthesis. Whereas, IDO is not activated by the level of Trp presence but inflammatory agents with its interferon stimulated response elements (ISRE1 and ISRE2) in its (33; 34; 35; 36; 3; 10) promoter.

TDO promoter contains glucorticoid response elements (37; 38) and regulated by glucocorticoids and other available amino acids for gluconeogenesis. This is how IDO binds to only immune response cells and TDO relates to NAD biosynthesis mechanisms. Furthermore, TDO is express solely in liver and brain (36).  NAD synthesis (39) showed increased IDO ubiquitous and TDO in liver and causing NAD level increase in rat with neuronal degeneration (40; 41).  NAM has protective function in beta-cells could be used to cure Type1 diabetes (40; 42; 43). In addition, knowledge on NADH/NAD, Kyn/Trp or Trp/Kyn ratios as well as Th1/Th2, CD4/CD8 or Th17/Threg are equally important (44; 40).

Active site of IDO–PI complex. (A) Stereoview of the residues around the heme of IDO viewed from the side of heme plane. The proximal ligand H346 is H-bonded to wa1. The 6-propionate of the heme contacts with wa2 and R343 Nε. The wa2 is H-bonded to wa1, L388 O, and 6-propionate. Mutations of F226, F227, and R231 do not lose the substrate affinity but produce the inactive enzyme. Two CHES molecules are bound in the distal pocket. The cyclohexan ring of CHES-1 (green) contacts with F226 and R231. The 7-propionate of the heme interacts with the amino group of CHES-1 and side chain of Ser-263. The mutational analyses for these distal residues are shown in Table 1. (B) Top view of A by a rotation of 90°. The proximal residues are omitted. (http://www.pnas.org/content/103/8/2611/F3.expansion.html)

Active site of IDO–PI complex. (A) Stereoview of the residues around the heme of IDO viewed from the side of heme plane. The proximal ligand H346 is H-bonded to wa1. The 6-propionate of the heme contacts with wa2 and R343 Nε. The wa2 is H-bonded to wa1, L388 O, and 6-propionate. Mutations of F226, F227, and R231 do not lose the substrate affinity but produce the inactive enzyme. Two CHES molecules are bound in the distal pocket. The cyclohexan ring of CHES-1 (green) contacts with F226 and R231. The 7-propionate of the heme interacts with the amino group of CHES-1 and side chain of Ser-263. The mutational analyses for these distal residues are shown in Table 1. (B) Top view of A by a rotation of 90°. The proximal residues are omitted. (http://www.pnas.org/content/103/8/2611/F3.expansion.html)

4.2. IDO2:

The third type of IDO, called IDO2 exists in lower vertebrates like chicken, fish and frogs (45) and in human with differential expression properties. The expression of IDO2 is only in DCs, unlike IDO1 expresses on both tumors and DCs in human tissues.  Yet, in lower invertebrates IDO2 is not inhibited by general inhibitor of IDO, D-1-methyl-tryptophan (1MT) (46).   Recently, two structurally unusual natural inhibitors of IDO molecules, EXIGUAMINES A and B, are synthesized (47).  LIP mechanism cannot be switch back to activation after its induction in IDO2 (46).

Crucial cancer progression can continue with production of IL6, IL10 and TGF-beta1 to help invasion and metastasis.  Inclusion of two common SNPs affects the function of IDO2 in certain populations.  SNP1 reduces 90% of IDO2 catalytic activity in 50% of European and Asian descent and SNP2 produce premature protein through inclusion of stop-codon in 25% of African descent lack functional IDO2 (Uniport).

4.3. IDO-like proteins: The Origin of IDO:

Knowing the evolutionary steps will helps us to identify how we can manage the regulator function to protect human health in cancer, immune disorders, diabetes, and infectious diseases.

Bacterial IDO has two types of IDOs that are group I and group II IDO (48).  These are the earliest version of the IDO, pro-IDO like, proteins with a quite complicated function.  Each microorganism recognized by a specific set of receptors, called Toll-Like Receptors (TLR), to activate the IDO-like protein expression based on the origin of the bacteria or virus (49; 35).   Thus, the genesis of human IDO originates from gene duplication of these early bacterial versions of IDO-like proteins after their invasion interactions with human host.  IDO1 only exists in mammals and fungi.

Fungi also has three types of IDO; IDOa, IDO beta, and IDO gamma (50) with different properties than human IDOs, perhaps multiple IDO is necessary for the world’s decomposers.

All globins, haemoglobins and myoglobins are destined to evolve from a common ancestor, which  is only 14-16kDa (51) length. Binding of a heme and being oxygen carrier are central to the enzyme mechanism of this family.  Globins are classified under three distinct origins; a universal globin, a compact globin, and IDO-like globin (52).  IDO like globin widely distributed among gastropodic mollusks (53; 51).  The indoleamine 2, 3-dioxygenase 1–like “myoglobin” (Myb) was discovered in 1989 in the buccal mass of the abalone Sulculus diversicolor (54).

The conserved region between Myb and IDO-like Myb existed for at least 600 million years (53).  Even though the splice junction of seven introns was kept intact, the overall homolog region between Myb and IDO is only about 35%.

No significant evolutionary relationship is found between them after their amino acid sequence of each exon is compared to usual globin sequences. This led the hint that molluscan IDO-like protein must have other functions besides carrying oxygen, like myoglobin.   Alignment of S. cerevisiae cDNA, mollusk and vertebrate IDO–like globins show the key regions for controlling IDO or myoglobin function (55). These data suggest that there is an alternative pathways of myoglobin evolution.  In addition, understanding the diversity of globin may help to design better protocols for interventions of diseases.

Mechanisms of IDO:

The dichotomy of IDO mechanism lead the discovery that IDO is more than an enzyme as a versatile regulator of innate and adaptive immune responses in DCs (66; 67; 68). Meantime IDO also involve with Th2 response and B cell mediated autoimmunity showing that it has three paths, short term (acute) based on enzymatic actions, long term (chronic) based on non-enzymatic role, and moonlighting relies of downstream metabolites of tryptophan metabolism (69; 70).

IFNgamma produced by DC, MQ, NK, NKT, CD4+ T cells and CD8+ T cells, after stimulation with IL12 and IL8.  Inflammatory cytokine(s) expressed by DCs produce IFNgamma to stimulate IDO’s enzymatic reactions in acute response.  Then, TDO in liver and tryptophan catabolites act through Aryl hydrocarbon receptor induction for prevention of T cell proliferation. This mechanism is common among IDO, IDO2 (expresses in brain and liver) and TDO expresses in liver) provide an acute response for an innate immunity (30). When the pDCs are stimulated with IFNgamma, activation of IDO is go through Jak, STAT signaling pathway to degrade Trp to Kyn causing Trp depletion. The starvation of tryptophan in microenvironment inhibits generation of T cells by un-read t-RNAs and induce apoptosis through myc pathway.  In sum, lack of tryptophan halts T cell proliferation and put the T cells in apoptosis at S1 phase of cell division (71; 62).

The intermediary enzymes, functioning during Tryptophan degradation in Kynurenine (Kyn) pathway like kynurenine 3-hydroxylase and kynureninase, are also induced after stimulation with liposaccaride and proinflammatory cytokines (72). They exhibit their function in homeostasis through aryl-hydrocarbon receptor (AhR) induction by kynurenine as an endogenous signal (73; 74).  The endogenous tumor-promoting ligand of AhR are usually activated by environmental stress or xenobiotic toxic chemicals in several cellular processes like tumorigenesis, inflammation, transformation, and embryogenesis (Opitz ET. Al, 2011).

Human tumor cells constitutively produce TDO also contributes to production of Kyn as an endogenous ligand of the AhR (75; 27).  Degradation of tryptophan by IDO1/2 in tumors and tumor-draining lymph nodes occur. As a result, there are animal studies and Phase I/II clinical trials to inhibit the IDO1/2 to prevent cancer and poor prognosis (NewLink Genetics Corp. NCT00739609, 2007).

 IDO mechanism for immune response

Systemic inflammation (like in sepsis, cerebral malaria and brain tumor) creates hypotension and IDO expression has the central role on vascular tone control (63).  Moreover, inflammation activates the endothelial coagulation activation system causing coagulopathies on patients.  This reaction is namely endothelial cell activation of IDO by IFNgamma inducing Trp to Kyn conversion. After infection with malaria the blood vessel tone has decreases, inflammation induce IDO expression in endothelial cells producing Kyn causing decreased trp, lower arterial relaxation, and develop hypotension (Wang, Y. et. al 2010).  Furthermore, existing hypotension in knock out Ido mice point out a secondary mechanism driven by Kyn as an endogenous ligand to activate non-canonical NfKB pathway (63).

Another study also hints this “back –up” mechanism by a significant outcome with a differential response in pDCs against IMT treatment.  Unlike IFN gamma conditioned pDC blocks T cell proliferation and apoptosis, methyl tryptophan fails to inhibit IDO activity for activating naïve T cells to make Tregs at TGF-b1 conditioned pDCs (77; 78).

 Indoleamine-Pyrrole 2,3,-Dioxygenase; IDO dioxygenase; Indeolamine-2,3

The second role of the IDO relies on non-enzymatic action as being a signal molecule. Yet, IDO2 and TDO are devoid of this function. This role mainly for maintenance of microenvironment condition. DCs response to TGFbeta-1 exposure starts the kinase Fyn induce phosphorylation of IDO-associated immunoreceptor tyrosine–based inhibitory motifs (ITIMs) for propagation of the downstream signals involving non-canonical (anti-inflammatory) NF-kB pathway for a long term response. When the pDCs are conditioned with TGF-beta1 the signaling (68; 77; 78) Phospho Inositol Kinase3 (PIK-3)-dependent and Smad independent pathways (79; 80; 81; 82; 83) induce Fyn-dependent phosphorylation of IDO ITIMs.  A prototypic ITIM has the I/V/L/SxYxxL/V/F sequence (84), where x in place of an amino acid and Y is phosphorylation sites of tyrosines (85; 86).

Smad independent pathway stimulates SHP and PIK3 induce both SHP and IDO phosphorylation. Then, formed SHP-IDO complex can induce non-canonical (non-inflammatory) NF-kB pathway (64; 79; 80; 82) by phosphorylation of kinase IKKa to induce nuclear translocation of p52-Relb towards their targets.  Furthermore, the SHP-IDO complex also may inhibit IRAK1 (68). SHP-IDO complex activates genes through Nf-KB for production of Ido1 and Tgfb1 genes and secretion of IFNalpha/IFNbeta.  IFNa/IFNb establishes a second short positive feedback loop towards p52-RelB for continuous gene expression of IDO, TGFb1, IFNa and IFNb (87; 68).  However, SHP-IDO inhibited IRAK1 also activates p52-RelB.  Nf-KB induction at three path, one main and two positive feedback loops, is also critical.  Finally, based on TGF-beta1 induction (76) cellular differentiation occurs to stimulate naïve CD4+ T cell differentiation to regulatory T cells (Tregs).  In sum, TGF-b1 and IFNalpha/IFNbeta stimulate pDCs to keep inducing naïve T cells for generation of Treg cells at various stages, initiate, maintain, differentiate, infect, amplify, during long-term immune responses (67; 66).

Moonlighting function of Kyn/AhR is an adaptation mechanism after the catalytic (enzymatic) role of IDO depletes tryptophan and produce high concentration of Kyn induce Treg and Tr1 cell expansion leading Tregs to use TGFbeta for maintaining this environment (67; 76). In this role, Kyn pathway has positive-feedback-loop function to induce IDO expression.

In T cells, tryptophan starvation induces Gcn2-dependent stress signaling pathway, which initiates uncharged Trp-tRNA binding onto ribosomes. Elevated GCN2 expression stimulates elF2alfa phosphorylation to stop translation initiation (88). Therefore, most genes downregulated and LIP, an alternatively initiated isoform of the b/ZIP transcription factor NF-IL6/CEBP-beta (89).

This mechanism happens in tumor cells based on Prendergast group observations. As a result, not only IDO1 propagates itself while producing IFNalpha/IFNbeta, but also demonstrates homeostasis choosing between immunegenity by production of TH17or tolerance by Tregs. This mechanism acts like a see-saw. Yet, tolerance also can be broken by IL6 induction so reversal mechanism by SOC-3 dependent proteosomal degradation of the enzyme (90).  All proper responses require functional peripheral DCs to generate mature DCs for T cells to avoid autoimmunity (91).

Niacin (vitamin B3) is the final product of tryptophan catabolism and first molecule at Nicotinomic acid (NDA) Biosynthesis.  The function of IDO in tryptophan and NDA metabolism has a great importance to develop new clinical applications (40; 42; 41).  NAD+, biosynthesis and tryptophan metabolisms regulate several steps that can be utilize pharmacologically for reformation of healthy physiology (40).

IDO for protection in Microbial Infection with Toll-like Receptors

The mechanism of microbial response and infectious tolerance are complex and the origination of IDO based on duplication of microbial IDO (49).  During microbial responses, Toll-like receptors (TLRs) play a role to differentiate and determine the microbial structures as a ligand to initiate production of cytokines and pro-inflammatory agents to activate specific T helper cells (92; 93; 94; 95). Uniqueness of TLR comes from four major characteristics of each individual TLR by ligand specificity, signal transduction pathways, expression profiles and cellular localization (96). Thus, TLRs are important part of the immune response signaling mechanism to initiate and design adoptive responses from innate (naïve) immune system to defend the host.

TLRs are expressed cell type specific patterns and present themselves on APCs (DCs, MQs, monocytes) with a rich expression levels (96; 97; 98; 99; 93; 100; 101; 102; 87). Induction signals originate from microbial stimuli for the genesis of mature immune response cells.  Co-stimulation mechanisms stimulate immature DCs to travel from lymphoid organs to blood stream for proliferation of specific T cells (96).  After the induction of iDCs by microbial stimuli, they produce proinflammatory cytokines such as TNF and IL-12, which can activate differentiation of T cells into T helper cell, type one (Th1) cells. (103).

Utilizing specific TLR stimulation to link between innate and acquired responses can be possible through simple recognition of pathogen-associated molecular patterns (PAMPs) or co-stimulation of PAMPs with other TLR or non-TLR receptors, or even better with proinflammatory cytokines.   Some examples of ligand- TLR specificity shown in Table1, which are bacterial lipopeptides, Pam3Cys through TLR2 (92; 104; 105).  Double stranded (ds) RNAs through TLR3 (106; 107), Lipopolysaccharide (LPS) through TLR4, bacterial flagellin through TLR5 (108; 109), single stranded RNAs through TLR7/8 (97; 98), synthetic anti-viral compounds imiquinod through TLR 7 and resiquimod through TLR8, unmethylated CpG DNA motifs through TLR9 (Krieg, 2000).

IDO action

Then, the specificity is established by correct pairing of a TLR with its proinflammatory cytokines, so that these permutations influence creation and maintenance of cell differentiation. For example, leading the T cell response toward a preferred Th1 or Th2 response possible if the cytokines TLR-2 mediated signals induce a Th2 profile when combined with IL-2 but TLR4 mediated signals lean towards Th1 if it is combined with IL-10 or Il-12, (110; 111)  (112).

TLR ligand TLR Reference
Lipopolysaccharide, LPS TLR4 (96).  (112).
Lipopeptides, Pam3Cys TLR2 (92; 104; 105)
Double stranded (ds) RNAs TLR3 (106; 107)
Bacterial flagellin TLR5 (108; 109)
Single stranded RNAs TLR7/8 (97; 98)
Unmethylated CpG DNA motifs TLR9 (Krieg, 2000)
Synthetic anti-viral compounds imiquinod and resiquimod TLR7 and TLR8 (Lee J, 2003)

Furthermore, if the DCs are stimulated with IL-6, DCs relieve the suppression of effector T cells by regulatory T cells (113).

The modification of IDO+ monocytes manage towards specific subset of T cell activation with specific TLRs are significantly important (94).

The type of cell with correct TLR and stimuli improves or decreases the effectiveness of stimuli. Induction of IDO in monocytes by synthetic viral RNAs (isRNA) and CMV was possible, but not in monocyte derived DCs or TLR2 ligand lipopeptide Pam3Cys since single- stranded RNA ligands target TLR7/8 in monocytes derive DCs only (Lee J, 2003).  These data show that TLRs has ligand specificity, signal transduction pathways, expression profiles and cellular localization so design of experiments should follow these rules.

Conclusion:

Overall our purpose of this information is to find a method to manipulate IDO to correct/fix/modulate immune responses for clinical applications.  This first part of the review concerns the basic science information gained overall several years that lay the foundation that translational research scientist should familiar to develop a new technology for clinic. The first connection of IDO and human health came from a very natural event that is protection of pregnancy in human. The focus of the translational medicine is treatment of cancer or prevention/delay cancer by stem cell based Dendritic Cell Vaccine (DCvax) development.

References

1. Biochemistry of tryptophan in health and disease. BenderDA. 1983, Mol Aspects Med , pp. 6:101–197.

2. Molecular insights into substrate recognition and catalysis by indolamine 2,3-dioxygenase. Forouhar, F., Anderson, R., Mowat, C.F, et al. 2006, PNAS, pp. vol. 104, no:2, 473-478.

3. Importance of the Two Interferon-stimulated Response Element. Konan KV, Taylor, MW. 1996, J. Biol. Chem.-, pp. 19140-5.

4. induction of indolamine 2,3 dioxygenase: A mechanism of the anti-tumor activity of interferon gamma. Ozaki, Y., Edelstein, M.P., Duch, D.S. 1998, PNAS USA., pp. vol:85, 1242-1246.

5. Localization of the human indoleamine 2,3-dioxygenase (IDO) gene to the pericentromeric region of human chromosome 8. . Burkin, D. J., Kimbro, K. S., Barr, B. L., Jones, C., Taylor, M. W., Gupta, S. L. 1993, Genomics , pp. 17: 262-263.

6. Localization of indoleamine 2,3-dioxygenase gene (INDO) to chromosome 8p12-p11 by fluorescent in situ hybridization. Najfeld, V., Menninger, J., Muhleman, D., Comings, D. E., Gupta, S. L. 1993, Cytogenet. Cell Genet. , pp. 64: 231-232.

7. Molecular cloning, sequencing and expression of human interferon-gamma-inducible indoleamine 2,3-dioxygenase cDNA. . Dai, W., Gupta, S. L. 1990, Biochem. Biophys. Res. Commun. , pp. 168: 1-8.

8. Gene structure of human indoleamine 2,3-dioxygenase. Kadoya, A., Tone, S., Maeda, H., Minatogawa, Y., Kido, R. 1992, Biochem. Biophys. Res. Commun. , pp. 189: 530-536.

9. A gene atlas of th emouse and human protein-encoding transcriptomes. Andrew I. Su, Tim Wiltshire, Serge Batalov , Hilmar Lapp , Keith A. Ching , David Block, Jie Zhang , Richard Soden , Mimi Hayakawa , Gabriel Kreiman , Michael P. Cooke , John R. Walker , and John B. Hogenesch. 2004, PNAS, pp. vol. 101, no. 166062-6067 (10.1073/pnas.0400782101).

10. Indoleamine 2,3-dioxygenase production by human dendritic cells results in the inhibition of T cell proliferation. Hwu P, Du MX, Lapointe R, Do M, Taylor MW, Young HA. 2000, J. Immunol, pp. 164:3596–3599.

11. Inhibition of T cell proliferation by acrophage tryptophan catabolism. Munn, D.H. et al. 1999, J. Exp. Med., p. 189:1363.

12. HeLa cells cocultured with peripheral blood lymphocytes acquire an immuno-inhibitory phenotype through up-regulation of indoleamine 2,3-dioxygenase activity. Logan, G. J., Smyth, C. M. F., Earl, J. W., Zaikina, I., Rowe, P. B., Smythe, J. A., Alexander, I. E. 2002, Immunology, pp. 105:478-487.

13. Indoleamine 2,3-Dioxygenase – Is It an Immun Suppressor? Soliman H, Mediaville-Varela M, Antonia S. 2010, Cancer J. , pp. 16:354-359.

14. Targeting the immunoregulatory indoleamine 2,3-dioxygenase pathway in immunotherapy. Johnson BA, III, Baban B, Mellor AL. 2009, Immunotherapy. , pp. 645–661.

15. Indoleamine 2,3-dioxygenase and regulation of T cell immunity. AL., Mellor. 2005, Biochem Biophys Res Commun. , pp. 338(1):20–24.

16. Fallarino, F., Grohmann, U., Hwang, K. W., Orabona, C., Vacca, C., Bianchi, R., Belladonna, M. L., Fioretti, M. C.Modulation of tryptophan catabolism by regulatory T cells. Fallarino, F., Grohmann, U., Hwang, K. W., Orabona, C., Vacca, C., Bianchi, R., Belladonna, M. L., Fioretti, M. C., Alegre, M.-L., Puccetti, P. 2003, Nature Immun., pp. 4: 1206-1212.

17. CTLA-4-Ig regulates tryptophan catabolism in vivo. Grohmann, U., Orabona, C., Fallarino, F., Vacca, C., Calcinaro, F., Falorni, A., Candeloro, P., Belladonna, M. L., Bianchi, R., Fioretti, M. C., Puccetti, P. 2002, Nature Immun. , pp. 3: 1097-1101.

18. Reverse signaling through GITR ligand enables dexamethasone to activate IDO in allergy. Grohmann, U., Volpi, C., Fallarino, F., Bozza, S., Bianchi, R., Vacca, C., Orabona, C., Belladonna, M. L., Ayroldi, E., Nocentini, G., Boon, L., Bistoni, F., Fioretti, M. C., Romani, L., Riccardi, C., Puccetti, P. 2007, Nature Med., pp. 13:579-586.

19. Cells expressing indoleamine 2,3-dioxygenase inhibit T cell responses. Mellor, A. L., Keskin, D. B., Johnson, T., Chandler, P., Munn, D. H. 2002, J. Immun. , pp. 168: 3771-3776.

20. Chon, SY, Hassanain, HH, Piine, R., and Gupta, SL. 1995, J. Interferon Cytokine Res. , pp. 15, 517-526.

21. Levy, ED, KEsler, DS, Pine, R., Reich, N, and Darnell, JE.Jr et al. 1988, Genes Dev, pp. 2,383-393.

22. Benoist, C. and Manthis, D. 1990, Annu. Rev of Immunol., pp. 8, 681-715.

23. Dorn, A, Durand, B., Marling, C., Meur, M.L., Beoist, C., and Mathis, D. 1987, PNAS USA, pp. 34, 6249-6253.

24. Konan, K.V. Ph.D. Thesis. Transcriptional Regulation of the Indolamine 2,3-oxygenase Gene. s.l. : Indiana University, Bloominigton, 1995.

25. Tryptophan pyrrolase of rabbit intestine: D- and L–tryptophan cleaving enzyme or enzymes. Yamamoto, S., and Hayashi, O. 1967, J Biol Chem, pp. 242: 5260-5266.

26. Prevention of allogeneic fetal rejection by tryptophan catabolism. Munn, DH, Zhou M, Attwood JT, Bondarev I, Conway SJ, Marshall B, Brown C, Mellor AL. 1998, Science, pp. 281:1191–3.

27. Evidence for a tumoral immune resistance mechanismbased on tryptophan degradation by indoleamine 2,3-dioxygenase. Uyttenhove, C. et al. 2003, Nature Med. 9,, pp. 1269–1274 .

28. Pregnancy: success and failure within the Th1/Th2/Th3 paradigm. Raghupathy, R. 2001., Seminars in Immunology, pp. Volume 13, Issue 4, Pages 219–227.

29. Why is the fetal allograft not rejected? Davies, C. J. March 2007 , J ANIM SCI , pp. vol. 85 no. 13 suppl E32-E35 .

30. Exploring the mechanism of tryptoophan 2,3-dioxygenase. Thackray, S., Mowat, C.G., Chapman, K. 2008, Biochem. Society Transaction., pp. 36, 1120-1123.

31. The new life of a centenarian: signalling functions of NAD(P). Berger F, Ramírez-Hernández MH, Ziegler M. 2004, Trends Biochem Sci , pp. 29:111–118 .

32. Biochemistry of tryptophan in health and disease. DA, Bender. 1983, Mol Aspects Med, pp. 6:101–197.

33. Poliovirus induces indoleamine-2,3-dioxygenase and quinolinic acid synthesis in macaque brain. Heyes MP, Saito K, Jacobowitz D, Markey SP, Takikawa O, Vickers JH. 1992, FASEB J., pp. 6:2977–2989.

34. Sanni LA, Thomas SR, Tattam BN, Moore DE, Chaudhri G, Stocker R, Hunt NH 1998Dramatic changes in oxidative tryptophan metabolism along the kynurenine pathway in experimental cerebral and noncerebral malaria. . Sanni LA, Thomas SR, Tattam BN, Moore DE, Chaudhri G, Stocker R, Hunt NH. 1998, Am J Pathol, pp. 152:611–619.

35. Induction of pulmonary indoleamine 2,3-dioxygenase by intraperitoneal injection of bacterial lipopolysaccharide. . Yoshida R, Hayaishi O. 1978, Proc Natl Acad Sci USA , pp. 75:3998–4000.

36. Induction of indoleamine 2,3-dioxygenase in mouse lung during virus infection. . Yoshida R, Urade Y, Tokuda M, Hayaishi O. 1979, Proc Natl Acad Sci USA , pp. 76:4084–4086.

37. Induction of pulmonary indoleamine 2,3-dioxygenase by intraperitoneal injection of bacterial lipopolysaccharide. Yoshida R, Hayaishi. 1978, PNAS USA, pp. 3998-4000.

38. Sequence of human 2,3-dioxygenase (TDO2): presence of a glucorticoid response-like element composed of a GTT repeat and intronic CCCCT repeat. Comings DE, Muhleman D, Dietz G, Sherman M, Forest. 1995, Genomics, pp. 29:390-396165.

39. Studies on the biosynthesis of Nicotinamide adenine inucleotide. II.Arole of picolinic carboxylase in the Biosynthesisofnicotinamideadeninedinucleotidefromtryptophan in mammals. Ikeda M, Tsuji H, Nakamura S, Ichiyama A, Nishizuka Y, HayaishiO. 1965, J. Biol. Chem. , pp. 240: 1395-1401.

40. The Secret Life of NAD+: An Old Metabolite Controlling New Metabolic Signaling Pathways. Houtkooper R.H., Carles Cantó C. , Wanders, R.J. and Auwerx, J. 2010, Endocrine Reviews , pp. vol. 31 no. 2 194-223, doi: 10.1210/er.2009-0026.

41. Stimulation of Nicotinamide adenine dinucleotide biosynthetic pathways delays axonal degeneration after axotomy. Sasaki Y, Araki T, Milbrandt J. 2006, J Neurosci , pp. 26: 8484–8491.

42. European Nicotinamide Diabetes Intervention Trial (ENDIT): a randomised controlled trial of intervention before the onset of type 1 diabetes. Gale EA, Bingley PJ, Emmett CL, CollierT. 2004, Lancet., pp. 363:925–931.

43. Safety of high-dose nicotinamide: a review. Knip M, Douek IF, Moore WP, Gillmor HA, McLean AE, Bingley PJ, Gale EA. 2000, Diabetologia, pp. 43:1337–1345.

44. Large supplements of nicotinic acid and nicotinamide increase tissue NAD and poly(ADP-ribose) levels but do not affect diethylnitrosamine-induced altered hepatic foci in Fischer-344 rats. JacksonTM, Rawling JM, Roebuck BD, Kirkland JB. 1995, J Nutr , p. 125:1455.

45. Characterization and evolution of vertebrate indelamine 2,3-dihydrogenases IDOs from monotremes and marsupials. Yuasa, HJ, Ball, HJ, Ho, YF, Austin, CJ, et al. 2009, Comp. Biochem. Physiol. B. Biochem.. Mol. Biol., pp. 153 (2): 137-144.

46. Novel tryptophan catabolic enzyme IDO2 is the preferred biochemical target of the antitumor indolamine 2,3-dihydrogenase inhibitor compound D-1 methyl-tryptophan. Metz, R., Duhadaway, JB, Kamasani, U, Laury-Kleintop, L., Muller, AJ, Prendergast, GC. 2007, Cancer Res., pp. 67 (15): 7082-7087.

47. Total synthesis of exiguamines A and B inspired by catechollamine chemistry. Sofiyev, V, Lumb, JP, Volgraf, M., Trauner, D. 2012, Chemistry., pp. 18 (16): 4999-5005.

48. Molecular evolution of bacterial indolamine 2,3-dioxygenase. Yuasa, H J, Ushigoe, A, Ball, HJ. 2011, Gene., pp. 484 (1) : 22-31.

49. Infectious tolerance and the long-term acceptance of transplant tissue. Waldman, H., Adams, E., Fairchild, P., and Cobbold, S. 2006, J. Immunol., pp. 212:301-313.

50. Molecular evolution and characterizationof fungal indolamine 2,3-dioxygenases. Yuasa, HJ and Ball, HJ. 2012, J. Mol. Eval., pp. 72 (2): 160-168.

51. convergent evolution. The gene structure of Sulculus 41 kDa myoglobin is homologous with tht of human indolamine dioxygenase. Suzuki, T, Imai, K. 1996, Biochim. Biophys. Acta., pp. 1308(1):41-48.

52. Evolutionof myoglobin. Suzuki, T., Imai, K. 1998, Cell Mol Life Sci, pp. 54(9):979-1004.

53. A myoglobin evolved from indolamine 2,3-dioxygenase, trtptophan-degrading enzyme. Suzuki, T., Kawamichi, H., Imai, K. 1998, Comp Biochem Phisiol. Mol. Biol., pp. 121(2):117-128.

54. Do molluscs possess indolamine 2,3-dioxygenase? Yuasa, HJ and Suzuki, T. 2005, Comp. Biochem. Physiol. B. Biochem. Mol. Biol. , pp. (3) 445-454.

55. Comparison studies of the indolamine dioxygenase-like myoglobin from the abalone Sulculus diversicolor. Suzuki, T., Imai, K. 1997, Comp. Biohem. Phsiol B Biochem Mol Biol, pp. 117 (4)599-604.

56. Orchestration of the immune response by dendritic cells. Buckwalter MR, Albert ML. 2009, Curr Biol., pp. 19(9):355–361.

57. Dendritic cells and the control of immunity. Banchereau J, Steinman RM. 1998, Nature., pp. 245–52.

58. IDO expression by dendritic cells: tolerance and tryptophan catabolism. . Munn DH, Mellor AL. 2004, Nat Rev Immunol. , pp. 762–74.

59. Monocyte and Macrophage. Gordon, S. and Taylor, P.R. 2005, NATURE REVIEWS | IMMUNOLOGY , pp. vol:5, 953-964.

60. Blood monocytes consist of two principal subsets with distinct migratory properties. Geissmann F, Jung S, Littman DR. 2003, Immunity. , pp. 19:71–82.

61. Identification of a novel cell type in peripheral lymphoid organs of mice. I Morphology, quantitation, tissue distribution. . Steinman RM, Cohn ZA. 1973, J Exp Med., pp. 137(5):1142–1162.

62. T cell apoptosis by tryptophan catabolism. Fallarino F, Grohmann U, Vacca C, Bianchi R, Orabona C, Spreca A, Fioretti MC, Puccetti P. 2002, Cell Death Differ , pp. 9:1069–1077.

63. Kynurenine is a novel endothelium derived relaxing factor produced during inflammation. Wang, et al. 2010, Nat. Med., pp. 16(3): 279-285.

64. Activation of the noncanonical NF-kB pathway by HIV controls a Dendritic cell immunoregulatory phenotype. Manches, O. Fernandez, V.M.,, Plumas, J., Chaperot, L., and Bhardwaj, N. 2012, PNAS, pp. vol: 109, 14122-14127.

65. B cells inhibit induction of T cell-dependent tumor immunity. Qin, Z., Richter, G., Schuler, T., Ibe, S., Cao, X, Blakenstein, T. 1998, Nat. Med, p. 4:627.

66. Different partners, Opposite Outcmes: A new perspective of immunobiology of Indolamine 2,3 dioxygenase. Orabona, C., Pallotta, M.T., Grohman, U. 2012, Molecular Medicine., pp. 18:834-842.

67. Indolamine 2,3-dioxygenase: From catalyst to signaling function. Fallarino, F., Grohman, U., and Puccetti, P. 2012, Eurepean J. of Immunol. , pp. 42:1932-1937.

68. IDO: more than an enzyme. Chen, W. 2011, Nature Immonology, pp. 809-811.

69. Indolamine2,3-dehydrogenase in lung dendritic cells promotes Th2 responses and allergic inflammation. Xu, H., Oriss, T.B., Fei, M., Henry, A.C., Melgert, B.N., Chen, L., Mellor, A.L. 2008, PNAS USA, pp. 105: 6690-6695.

70. The immunoregulatory enzyme IDO paradoxically drives B-cellmediated autoimmunity. Scott, G.N., DuHadaway, J., Pigott, E., Ridge, N., Prendergast, G.C., Muller, A.J., Mandik-Nayak, L. 2009, J. Immunol., pp. 182:7509-7517.

71. Tryptophan deprivation sensitizes activated T cells to apoptosis prior to cell division. Lee GK, Park HJ, Macleod M, Chandler P, Munn DH, Mellor AL. 2002, Immunology , pp. 107:452–460.

72. Enzymology of NAD+ homeostasis in man. . Magni G, Amici A, Emanuelli M, Orsomando G, Raffaelli N, Ruggieri S. 2004, Cell Mol Life Sci , pp. 61:19–34.

73. Kynurenine pathway enzymes in dendritic cells initiate tolerogenesis in the absence of functional IDO. . Belladonna ML, Grohmann U, Guidetti P, Volpi C, Bianchi R, Fioretti MC, Schwarcz R, Fallarino F, Puccetti P. 2006, J Immunol. , pp. ;177:130–7.

74. An indogenous tumour promoting ligand of the human aryl hydrocarbon receptor. Opitz, et. al. 2011, pp. doi: 10.1038/nature10491,.

75. Inhibition of indoleamine 2,3-dioxygenase, animmunoregulatorytarget of the cancer suppression gene Bin1, potentiates cancer chemotherapy. Muller, A. J. et al. 2005, Nature Med. , pp. 11, 312–319 .

76. TGF-b; a master of all T cell trades. Li, M.O., Fravell, R.A. 2008, Cell. , pp. 134: 392-404.

77. Palotta, M.T. et al. 2011, Nat. Immunol., pp. 12:870-878.

78. Chen, W. et al. 2003, J. Exp. Immunol., p. 198: 1875.

79. Smads: transcriptional activators of TGF-beta responses. . Derynck R, Zhang Y, Feng XH. 1998, Cell , pp. 95 (6): 737–40. doi:10.1016/S0092-8674(00)81696-7.PMID 9865691. .

80. Smad transcription factors. Massagué J, Seoane J, Wotton D. 2005, Genes Dev, pp. 19 (23): 2783–810. doi:10.1101/gad.1350705. PMID .

81. A structural basis for mutational inactivation of the tumour suppressor Smad4. Shi Y, Hata A, Lo RS, Massagué J, Pavletich NP. 1997, Nature., pp. 388 (6637): 87–93.doi:10.1038/40431. PMID 9214508.

82. Promoting bone morphogenetic protein signaling through negative regulation of inhibitory Smads. Itoh F, Asao H, Sugamura K, Heldin CH, ten Dijke P, Itoh S. 2001, EMBO J., pp. 20 (15): 4132– doi:10.1093/emboj/20.15.4132. PMC 149146. PMID 11483516.

83. SMAD_Signaling_Network. http://www.sabiosciences.com. [Online] 2013. http://www.sabiosciences.com/pathway.php?sn=SMAD_Signaling_Network.

84. Immune inhibitory receptors. Revetch, J.V., and Lanier, L.L. 2000, Science., pp. 290:84-89.

85. Soc3 drives proteasomal degradation of indolamine 2,3-dioxygenase (IDO) and antagonizes IDO-dependent tolerogenesis. Orabona, C., Pallotta, M., Volpi, C., et al. 2008, PNAS USA, pp. 105: 20828-20833.

86. Cutting edge; silencing supressor of cytokine signaling3 expression in dendritic cells turns CD28-Ig from immune adjuvant to supressant. Orabona, C.,, Belladonna, M.L., et all. 2005, J. Immunol., pp. 174: 6582-6586.

87. Molecular signatures of T-cell inhibition in HIV-1 infection. Larsson, M., Shankar. E.M, Che, K.F., Ellegard, R., Barathan, M., Velu, V., and Kamarulzaman, A. 2013, Retrovirology, p. 10:31.

88. TGF-beta and CD4+CD25+ regulatory cells. Huber, S. and Schramn, C. 2006, Front. Bioscie., pp. 11:1014-1023.

89. Immune Escape as a fundemental trait of cancer; focus on IDO. Prendergast, G.C. 2008, Oncogene., pp. 27, 3889-3900.

90. Il-6 inhibits the tolerogenic functionof CD8+ dendritic cells expressing indolamine 2,3-dioxygenase. Grohman, U., Fallarino, F., et al. 2001, J. Immunol., pp. 167:708-714.

91. Avoiding horror autotoxicus: Th eimportance of dentritic cells in peripheral T cell tolerance. Steinman, R.M., and Nussenzweig, M.C. 2002, PNAS, pp. no:1, 351-358.

92. Dendritic-cell function in Toll-like receptor- and MyD88-knockout mice . Kaisho, T., Akira, S. 2001, Trends Immunol , pp. 22,78-83.

93. Innate sensing of self and non-self RNAs by Toll-like receptors. Sioud, M. 2006., Trends Mol Med., pp. 12:67–76.

94. Impaired expression of indoleamine 2, 3-dioxygenase in monocyte-derived dendritic cells in response to Toll-like receptor-7/8 ligands. Furset, G., Fløisand, Y. and Sioud, M. 2008, Immunology., pp. 123(2): 263–271, doi: 10.1111/j.1365-2567.2007.02695.x.

95. Toll-;ike receptor 9 mediated induction of the immunorepressor pathway of tryptophan metabolism. Fallarino, F., and Puccetti, P. 2006, Eur. J. of Imm., pp. 36:8-11.

96. Toll-like receptors and host defense against microbial pathogens: bringing specificity to the innate immune system. . Netea MG, der Graaf C, Van der Meer JWM, Kullberg BJ. 2004, J Leukoc Biol. , pp. 75:749–55.

97. Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8. . Heil F, Hemmi H, Hochrein H, et al. 2004, Science. , pp. 303:1526–9.

98. Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA. . Diebold SS, Kaisho T, Hemmi H, Akira S, Reis e Sousa C. 2004., Science. , pp. 303:1529–31. .

99. The role of CpG motifs in innate immunity. Krieg, A.M. 2000., Curr Opin Immunol., pp. 12:35–43.

100. Anendogenous tumour-promoting ligand of the human aryl hydrocarbon receptor. Opitz, C.A., Litzenburger, U.M., Sahm, F., Ott,M., Tritschler, I., Trump, S. 2011, Nature, pp. vol 478; 197-203.

101. Impaired impression of Indolamine 2,3-deoxygenase in monocyte derived DCs in response to TLR-7/8. Furset, G., Floisand, Y., Sioud, M. 2007, Immunology, pp. 263-271.

102. Activationof the noncanonical NF-kB pathway by HIV controls a Dendritic cell immunoregulatory phenotype. Manches, O. Fernandez, V.M.,, Plumas, J., Chaperot, L., and Bhardwaj, N. 2012, PNAS, pp. vol: 109, 14122-14127.

103. Regulation of dendritic cell numbers and maturation by lipopolysaccharide in vivo . de Smedt, T., Pajak, B., Muraille, E., Lespagnard, L., Heinen, E., De Baetselier, P., Urbain, J., Leo, O., Moser, M. 1996, J. Exp. Med., pp. 184,1413-1424.

104. Subsets of dendritic cell precursors express different Toll-like receptors and respond to different microbial antigens . Kadowaki, N., Ho, S., Antonenko, S., de Waal Malefyt, R., Kastelein, R. A., Bazan, F., Liu, Y-J. 2001, J. Exp. Med., pp. 194,863-869 .

105. TRAF6 is a critical factor for dendritic cell maturation and development . Kobayashi, T., Walsh, P. T., Walsh, M. C., Speirs, K. M., Chiffoleau, E., King, C. G., Hancock, W. W., Caamano, J. H., Hunter, C. A., Scott, P., Turka, L. A., Choi, Y. 2003, Immunity , pp. 19,353-363 .

106. Activation of interferon regulatory factor-3 via toll-like receptor 3 and immunomodulatory functions detected in A549 lung epithelial cells exposed to misplaced U1-snRNA. Sadik CD, Bachmann M, Pfeilschifter J, Mühl H. 2009, Nucleic Acids Res. , pp. 37(15):5041-56. doi: 10.1093/nar/gkp525. Epub 2009 Jun 18.

107. Triggering of the dsRNA sensors TLR3, MDA5, and RIG-I induces CD55 expression in synovial fibroblasts. Karpus ON, Heutinck KM, Wijnker PJ, Tak PP, Hamann J. 2012, PLoS One., p. 7(5):e35606. doi: 10.1371/journal.pone.0035606. Epub 2012 May 10.

108. The structure of the TLR5-flagellin complex: a new mode of pathogen detection, conserved receptor dimerization for signaling. Lu J, Sun PD. 2012, Sci Signal., p. 5(216):pe11. doi: 10.1126/scisignal.2002963. .

109. Flagellin/Toll-like receptor 5 response was specifically attenuated by keratan sulfate disaccharide via decreased EGFR phosphorylation in normal human bronchial epithelial cells. Shirato K, Gao C, Ota F, Angata T, Shogomori H, Ohtsubo K, Yoshida K, Lepenies B, Taniguchi N. 2013, Biochem Biophys Res Commun., pp. doi:pii: S0006-291X(13)00779-1. 10.1016/j.bbrc.2013.05.009. [Epub ahead of print].

110. Differential induction of interleukin-10 and interleukin-12 in dendritic cells by microbial Toll-like receptor activators and skewing of T-cell cytokine profiles Infect. Qi, H., Denning, T. L., Soong, L. 2003, Immun. , pp. 71,3337-3342 .

111. Thoma-Uszynski, S., Kiertscher, S. M., Ochoa, M. T., Bouis, D. A., Norgard, M. V., Miyake, K., Godowski, P. J., Roth, M. D.Activation of Toll-like receptor 2 on human dendritic cells triggers induction of IL-12, but not IL-10 . Thoma-Uszynski, S., Kiertscher, S. M., Ochoa, M. T., Bouis, D. A., Norgard, M. V., Miyake, K., Godowski, P. J., Roth, M. D., Modlin, R. L. 2000, J. Immunol. , pp. 165,3804-3810.

112. Toll-like receptor 2 (TLR2) and TLR4 differentially activate human dendritic cells . Re, F., Strominger, J. L. 2001, J. Biol. Chem. , pp. 276,37692-37699.

113. Pasare, C., Medzhitov, R. (2003) Toll pathway-dependent blockade of CD4+CD25+ T cell-mediated suppression by dendritic cells. Pasare, C., Medzhitov, R. 2003, Science , pp. 299,1033-1036 .

 

  

Read Full Post »

Affordable Care Act became law in 2010, Cardiologists’ Practice Management Decisions Unclear

Reporter: Aviva Lev-Ari, PhD, RN

Washington-Watch

ACA Delays Decisions in Cardiology

Published: Jun 28, 2013

By Chris Kaiser, Cardiology Editor, MedPage Today
Since the Affordable Care Act became law in 2010, cardiologists have been mired in a fog of uncertainty, leading to delays in making important practice management decisions.

“When I get together with colleagues at national meetings, I get the sense that nobody really understands the future,” said Cam Patterson, MD, MBA, chief of the division of cardiology at the University of North Carolina at Chapel Hill.

That uncertainty “throws a wrench into the planning process,” including recruitment and benchmark setting, he told MedPage Today.

“It’s a major sea change,” added Thomas Tu, MD, director of the cardiac catheterization lab for the Louisville Cardiology Group in Louisville, Ky., who notes that physicians are “struggling” to find ways they can be influential in the new environment.

Patterson noted the plight of young cardiologists seeking jobs in a healthcare market unsure of how or when to make its next move.

“It’s challenging to hire new recruits when budgetary and human resources decisions are essentially on hold until there is a better understanding of what the ACA will bring,” he commented.

Regarding setting benchmarks, Patterson said the days of merely imagining your quality is as good as the next practice or hospital are gone.

Cold, hard data are the new norm, but which data and how best to collect and analyze them, as well as apply the results in a robust and meaningful way, are being worked out slowly.

“As with everyone else, we are scrambling to get a grip on what our quality measures are,” Patterson said.

Education and Prevention Will Be Key

Hospitalists, as well as advanced nurse practitioners and physician assistants, can help ease the workload due to the shortage of primary care providers, a shortage that is particularly acute in California, according to C. Noel Bairey Merz, MD, director of the Barbra Streisand Women’s Heart Center at Cedars-Sinai Medical Center in Los Angeles.

“If the reform happens the way it is intended, we should have an integrated healthcare system where primary prevention — management of hypertension, dyslipidemia, diabetes, smoking cessation counseling, and therapeutic lifestyle changes — is handled at the primary care level,” she said.

The truth of the matter, however, is that it takes twice as long to train the average general physician as it does an average nurse practitioner, and four times as long as the average physician assistant.

“It’s a lot to expect of physician extenders to practice primary care medicine,” Merz toldMedPage Today.

“A better system is the medical home model, with physician team leaders and physician extenders who work on protocols. The physician extenders would be licensed and would be able to work autonomously within a protocol,” she said.

Five years ago, the cardiology department at Geisinger Health Center in Danville, Pa., employed four nurse practitioners or clinical nurse specialists. Today, there are 12 and the department is seeking three more, according to James Blankenship, MD, vice president of the Society for Cardiovascular Angiography and Interventions, as well as an interventional cardiologist at Geisinger.

Blankenship also said that acknowledging the need for more primary care providers is to miss half of the equation. “We will need more specialists, as well.”

Given the newly insured patients coming into the system, as well as the aging Medicare population, cardiologists will be stretched pretty thin. But the field of cardiology has been instrumental in advocating teamwork among the different specialties for years, he said. “That’s a train that’s already on the tracks.”

Merz noted an expectation to see more cardiovascular care teams in response to the ACA. Such teams typically consist of a physician leader, nurse practitioners, pharmacists, behavioral experts, rehab professionals, and others.

These teams are vital for the care of high-risk patients such as survivors of angioplasty, bypass surgery, and heart failure, she said, especially since there aren’t enough cardiologists to do it all.

Echoing Blankenship, Merz said that cardiologists will probably be busier than ever as heart disease remains the leading killer among men and women as the population ages. She noted a decline in the most severe type of heart attack — ST-segment elevation MI, or STEMI — in the Medicare population, a decline that is likely multifactorial, but two reasons stand out as attributable to the decline — the use of low-dose aspirin and statin therapy for primary and secondary prevention, she said.

“At whatever level these medications are prescribed and managed — primary care physician, nurse practitioner, cardiologist — one thing is clear: they work and they should continue to be utilized at the front line of heart disease management,” Merz said.

Patients with chronic diseases already consume a great deal of healthcare resources. The other side of that coin is prevention, noted Kathy Berra, MSN, ANP, president of the Preventive Cardiovascular Nurses Association and a nurse at Stanford Prevention Research Center in Stanford, Calif.

“Prevention is a family affair. It’s been shown that when women take care of themselves, the health of the family improves.”

Emerging as one of the more important gatekeepers for women’s health — including cardiovascular health — are ob/gyns, Berra said.

Gynecologists have increased their efforts to quiz women about heart disease risk factors such as hypertension, high cholesterol, and diabetes. If red flags are apparent, patients can be referred to primary care providers, internal medicine physicians, or cardiologists.

“Ob/gyns are on the front line of women’s health. Perhaps under the ACA model, these specialists will have a closer relationship with cardiologists,” Berra told MedPage Today.

Regarding nurses and other care providers in hospitals, they need to be able to educate patients about how to take care of themselves post-discharge, how to understand the importance of their medications, and how to best re-connect with their nonhospital environment.

Readmission is at epidemic proportions and it can be reined in by patient education at the hospital level. Even pharmacists are getting more involved in patient education.

Scott & White Hospital in Temple, Texas, has a program that encourages adherence by waiving drug copays following an education session, according to James Rohack, MD, director of the Center for Healthcare Policy at Scott & White.

Patients on Seniorcare who are on five medications or more are asked if they want to participate in the program. If they agree, they meet with a pharmacist once a month for 15 to 30 minutes. The pharmacist goes over everything about the patient’s medication, listens to any concerns, and sends him or her home with new medications, waiving the copay.

“Having no copay is a great benefit for patients on fixed incomes, but it goes beyond that. A little bit of education goes a long way and if patients can be reminded once a month about the importance of taking their medications, we will have fewer hospitalizations,” Rohack said.

Accountable Care Organizations

The development of ACOs is probably one of the biggest challenges under the ACA, said Geisinger’s Blankenship.

The promise of ACOs is to have better integrated care, less fragmented care among various providers. Part of this integrated care involves incentives to minimize procedures that are either unnecessary or could be replaced with a less costly treatment.

“Having been under a fee-for-service model for a long time, some in cardiology might find the new paradigm challenging,” Blankenship suggested.

ACOs are supposed to help take the sting out of moving away from the fee-for-service model by providing the opportunity for better coordinated care — which should translate into a higher quality of care.

However, ACOs can be difficult to set up, especially from scratch, as they have a large startup cost, he said.

One of the most important aspects of an ACO is to have a solid network of primary care doctors. Patterson, at UNC Chapel Hill, said the uncertainty of whether his state will expand Medicaid has led to the “very aggressive acquisition of primary care practices.”

“The goal is to have enough physicians and patients so that we will have a low-cost ACO when we are ready to implement that model. We are going to need about 1 million patients to have an efficient ACO,” he said.

But there are also fears that the ACA will deluge cardiologists with paperwork.

“In the clinic, I spend as much time with paperwork as I do with patients — particularly with Medicare and Medicaid patients,” noted John Day, MD, director of Heart Rhythm Services at Intermountain Medical Center in Salt Lake City, Utah. “Many of us are worried we haven’t even seen the beginning of the deluge.”

The intrusion of paperwork and other government regulations tends to erode the time physicians get to spend with patients — “one of the primary reasons I wanted to be a doctor,” Day said.

In addition, Day said that he and many of his colleagues are disappointed that the ACA did not address malpractice concerns. “Perhaps it’s not so much what’s in the bill as what is not in the bill,” he said.

“Malpractice concerns are real; they scare me every day; it affects how you practice medicine. I don’t see how you can rein in costs without addressing the malpractice quagmire,” Day told MedPage Today.

Shifting Sands

“For those of us working in the trenches, we have a vague concept of the changes coming down the road,” said James A. de Lemos, MD, director of the coronary care unit at Parkland Memorial Hospital in Dallas.

“We seem to be too busy to think about the changes, which leads to one of my biggest worries — that I won’t have prepared my troops well enough,” he said.

From a clinical perspective, it’s business as usual, with de Lemos and colleagues focused on growth and the development of referrals and procedure services.

“We are concerned, however, that the entire paradigm is going to shift and what we’re building today might not be financially sound in the ACO model,” de Lemos told MedPage Today.

De Lemos, who is active in cardiovascular biomarker research, suggested that biomarkers will become more important in the ACA era of healthcare.

“It will no longer be prudent to send everyone with a complaint to a cardiologist,” he commented. “Biomarker screening may play a role as a triage method to separate out those who merit a trip to the cardiologist from those who can be treated by primary care doctors.”

Rohack made these suggestions for getting ready for the changes associated with the ACA:

  • Make sure you are actively aware of your quality measures, your individual quality measures.
  • When caring for uninsured adults, make sure you are aware of the potential benefits with health insurance exchanges, because they may qualify.
  • Make sure you are aware of impending deadlines regarding the implementation of certain aspects associated with electronic medical records because penalties can be assessed for missing deadlines.

 

Who Takes the Lead?

There are a lot of moving pieces that will contribute to finding success in the new era of healthcare and leaders must emerge to help forge pathways that others can follow. Hospitalists will be among those leaders, says Jeffrey H. Barsuk, MD, MS, a hospitalist and director of Simulation and Patient Safety for Graduate Medical Education at Northwestern University Feinberg School of Medicine in Chicago.

“At our hospital, we are probably the largest group of physicians involved in healthcare safety, quality, and reform,” he said.

The ACA, he told MedPage Today, is starting to have more of an impact on how he and his colleagues position themselves for the future.

In particular, the new bundled payment and fee-per-encounter models are ideal scenarios where hospitalists can make a difference by bridging gaps in the continuity of care and helping to shorten the length of stay without compromising quality.

Hospitalists can, for example, provide smoking cessation counseling for heart patients, discuss the importance of medication adherence, and check to ensure there are no contraindications to the medications or no potential for drug-drug adverse interactions.

Ultimately, though, clinicians at all levels, primary care practitioners and specialists, will need to work closely together because, as interventionalist Tu noted, government intervention that is not well thought out can backfire. The ACA might save money in the short run, Tu said, but in the long term, there is a great potential “to damage the care of patients and harm the profession of medicine. Already many good people don’t want to be in the field anymore.”

http://www.medpagetoday.com/Washington-Watch/Reform/40164?xid=nl_mpt_DHE_2013-06-29&utm_content=&utm_medium=email&utm_campaign=DailyHeadlines&utm_source=WC&eun=g406134d0r&userid=406134&email=serbangg@gmail.com&mu_id=5783576 

Read Full Post »

Heart Transplantation: NHLBI’s Ten year Strategic Research Plan to Achieving Evidence-based Outcomes

Writer and Curator: Larry H Bernstein, MD, FCAP

and

Curator: Aviva Lev-Ari, PhD, RN 

 

Heart transplantation research in the next decade–a goal to achieving evidence-based outcomes: National Heart, Lung, And Blood Institute Working Group.

Shah MR, Starling RC, Schwartz Longacre L, Mehra MR; Working Group Participants.

The National Heart, Lung, and Blood Institute (NHLBI) convened a Working Group (WG) on August 5 to 6, 2010 in Bethesda, Maryland to discuss future directions of research in heart transplantation (HT). The WG was composed of researchers with expertise in the basic science, clinical science, and epidemiological aspects of advanced heart failure and HT.
These experts were asked to
  1. identify the highest priority research gaps in the field and
  2. make recommendations for future research strategies.
The WG was also asked to include approaches that capitalize on current scientific opportunities and focus on areas that required unique NHLBI leadership. Finally, the WG was charged with developing recommendations that would have short- and long-term impact on the field of HT. The WG participants reviewed key areas in HT and identified the most urgent knowledge gaps.
These gaps were then organized into the following 4 specific research directions:
1) enhanced phenotypic characterization of the pre-transplant population;
2) donor-recipient optimization strategies;
3) individualized immunosuppression therapy; and,
4) investigations of immune and non-immune factors affecting late cardiac allograft outcomes.
Finally, because the HT population is relatively small compared with other patient groups, the WG strongly urged concerted efforts to enroll every transplant recipient into a clinical study and to increase collaborative networks to optimize research in this field.

Other  related articles published on this Open Access Online Scientific Journal, include the following:

Heart Failure Treatment Improves, But Death Rate Remains High : NPR (A Lev-Ari)
http://pharmaceuticalintelligence.com/2013/05/29/heart-failure-treatment-improves-but-death-rate-remains-high-npr/

The Heart: Vasculature Protection – A Concept-based Pharmacological Therapy including THYMOSIN (Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2013/02/28/the-heart-vasculature-protection-a-concept-based-pharmacological-therapy-including-thymosin/

Resident-cell-based Therapy (Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2012/04/30/93/

Amyloidosis with Cardiomyopathy (larryhbern)
http://pharmaceuticalintelligence.com/2013/03/31/amyloidosis-with-cardiomyopathy/

Blood-vessels-generating stem cells discovered (ritu.saxena)
http://pharmaceuticalintelligence.com/2012/10/22/blood-vessel-generating-stem-cells-discovered/

Stem Cell Research — The Frontier is at the Technion in Israel (A Lev-Ari)
http://pharmaceuticalintelligence.com/2012/09/06/stem-cell-research-the-frontier-is-at-the-technion-in-israel/

Phrenic Nerve Stimulation in Patients with Cheyne-Stokes Respiration and Congestive Heart Failure (larryhbern)
http://pharmaceuticalintelligence.com/2013/06/20/phrenic-nerve-stimulation-in-patients-with-cheyne-stokes-respiration-and-congestive-heart-failure/

First drug to improve heart failure mortality in over a decade – HealthCanal.com (A Lev-Ari)
http://pharmaceuticalintelligence.com/2013/06/03/first-drug-to-improve-heart-failure-mortality-in-over-a-decade-healthcanal-com/

Meta-analysis: Heart Failure Worsens Short-term Prognosis of NSTE-ACS Patients – TCTMD
(Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2013/06/06/meta-analysis-heart-failure-worsens-short-term-prognosis-of-nste-acs-patients-tctmd/

Scientists prevent heart failure in mice (Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2013/05/29/scientists-prevent-heart-failure-in-mice/

Economic Toll of Heart Failure in the US: Forecasting the Impact of Heart Failure in the United States – A Policy Statement From the American Heart Association (Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2013/04/25/economic-toll-of-heart-failure-in-the-us-forecasting-the-impact-of-heart-failure-in-the-united-states-a-policy-statement-from-the-american-heart-association/

Stenosis, ischemia and heart failure (Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2013/05/16/stenosis-ischemia-and-heart-failure/

Congestive Heart Failure & Personalized Medicine: Two-gene Test predicts response to Beta Blocker Bucindolol (Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2012/10/17/chronic-heart-failure-personalized-medicine-two-gene-test-predicts-response-to-beta-blocker-bucindolol/

Heart Renewal by pre-existing Cardiomyocytes: Source of New Heart Cell Growth Discovered
Aviva Lev-Ari)
http://pharmaceuticalintelligence.com/2012/12/23/heart-renewal-by-pre-existing-cardiomyocytes-source-of-new-heart-cell-growth-discovered/

Heart Remodeling by Design – Implantable Synchronized Cardiac Assist Device: Abiomed’s Symphony (A lev-Ari)
http://pharmaceuticalintelligence.com/2012/07/23/heart-remodeling-by-design-implantable-synchronized-cardiac-assist-device-abiomeds-symphony/

First case in the US: Valve-in-Valve (Aortic and Mitral) Replacements with Transapical Transcatheter Implants – The Use of Transfemoral Devices (larryhbern)
http://pharmaceuticalintelligence.com/2013/06/23/valve-in-valve-replacements-with-transapical-transcatheter-implants/
Ventricular Assist Device (VAD): A Recommended Approach to the Treatment of Intractable

Cardiogenic Shock (larryhbern)
http://pharmaceuticalintelligence.com/2013/06/18/a-recommended-approach-to-the-treatmnt-of-intractable-cardiogenic-shock/

Trans-apical Transcatheter Aortic Valve Replacement in a Patient with Severe and Complex Left Main Coronary Artery Disease (LMCAD) (larryhbern)
http://pharmaceuticalintelligence.com/2013/06/17/management-of-difficult-trans-apical-transcatheter-aortic-valve-replacement-in-a-patient-with-severe-and-complex-arterial-disease/

Forrester-classification for classification of...

Forrester-classification for classification of Congestive heart failure ; Forrester-Klassifikation zur Einteilung einer akuten Herzinsuffizienz (Photo credit: Wikipedia)

Artificial heart: JARVIK-7 Heart, provided to ...

Artificial heart: JARVIK-7 Heart, provided to the National Heart, Lung and Blood Institute (NHLBI) by the University of Utah. (Photo credit: Wikipedia)

Schematic of a transplanted heart with native ...

Schematic of a transplanted heart with native lungs and the great vessels. (Photo credit: Wikipedia)

English: Ventricular assist device

English: Ventricular assist device (Photo credit: Wikipedia)

Read Full Post »

Imaging of Non-tumorous and Tumorous Human Brain Tissues

Reporter and Curator: Dror Nir, PhD

The point of interest in the article I feature below is that it represents a potential building block in a future system that will use full-field optical coherence tomography during brain surgery to improve the accuracy of cancer lesions resection. The article is featuring promising results for differentiating tumor from normal brain tissue in large samples (order of 1–3 cm2) by offering images with spatial resolution comparable to histological analysis, sufficient to distinguish microstructures of the human brain parenchyma.  Easy to say, and hard to make…:) –> Intraoperative apparatus to guide the surgeon in real time during resection of brain tumors.

 

Imaging of non-tumorous and tumorous human brain tissues with full-field optical coherence tomography 

Open Access Article

Osnath Assayaga, 1, Kate Grievea, , 1, , Bertrand Devauxb, c, Fabrice Harmsa, Johan Palludb, c,Fabrice Chretienb, c, Claude Boccaraa, Pascale Varletb, c;  a Inserm U979 “Wave Physics For Medicine” ESPCI -ParisTech – Institut Langevin, 1 rue Jussieu, 75005, b France, Centre Hospitalier Sainte-Anne, 1 rue Cabanis 75014 Paris, France

c University Paris Descartes, France.

Abstract

A prospective study was performed on neurosurgical samples from 18 patients to evaluate the use of full-field optical coherence tomography (FF-OCT) in brain tumor diagnosis.

FF-OCT captures en face slices of tissue samples at 1 μm resolution in 3D to a penetration depth of around 200 μm. A 1 cm2 specimen is scanned at a single depth and processed in about 5 min. This rapid imaging process is non-invasive and requires neither contrast agent injection nor tissue preparation, which makes it particularly well suited to medical imaging applications.

Temporal chronic epileptic parenchyma and brain tumors such as meningiomas, low-grade and high-grade gliomas, and choroid plexus papilloma were imaged. A subpopulation of neurons, myelin fibers and CNS vasculature were clearly identified. Cortex could be discriminated from white matter, but individual glial cells such as astrocytes (normal or reactive) or oligodendrocytes were not observable.

This study reports for the first time on the feasibility of using FF-OCT in a real-time manner as a label-free non-invasive imaging technique in an intraoperative neurosurgical clinical setting to assess tumorous glial and epileptic margins.

Abbreviations

  • FF-OCT, full field optical coherence tomography;
  • OCT, optical coherence tomography

Keywords

Optical imaging; Digital pathology; Brain imaging; Brain tumor; Glioma

1. Introduction

1.1. Primary CNS tumors

Primary central nervous system (CNS) tumors represent a heterogeneous group of tumors with benign, malignant and slow-growing evolution. In France, 5000 new cases of primary CNS tumors are detected annually (Rigau et al., 2011). Despite considerable progress in diagnosis and treatment, the survival rate following a malignant brain tumor remains low and 3000 deaths are reported annually from CNS tumors in France (INCa, 2011). Overall survival from brain tumors depends on the complete resection of the tumor mass, as identified through postoperative imaging, associated with updated adjuvant radiation therapy and chemotherapy regimen for malignant tumors (Soffietti et al., 2010). Therefore, there is a need to evaluate the completeness of the tumor resection at the end of the surgical procedure, as well as to identify the different components of the tumor interoperatively, i.e. tumor tissue, necrosis, infiltrated parenchyma (Kelly et al., 1987). In particular, the persistence of non-visible tumorous tissue or isolated tumor cells infiltrating brain parenchyma may lead to additional resection.

For low-grade tumors located close to eloquent brain areas, a maximally safe resection that spares functional tissue warrants the current use of intraoperative techniques that guide a more complete tumor resection. During awake surgery, speech or fine motor skills are monitored, while cortical and subcortical stimulations are performed to identify functional areas (Sanai et al., 2008). Intraoperative MRI provides images of the surgical site as well as tomographic images of the whole brain that are sufficient for an approximate evaluation of the abnormal excised tissue, but offers low resolution (typically 1 to 1.5 mm) and produces artifacts at the air-tissue boundary of the surgical site.

Histological and immunohistochemical analyses of neurosurgical samples remain the current gold standard method used to analyze tumorous tissue due to advantages of sub-cellular level resolution and high contrast. However, these methods require lengthy (12 to 72 h), complex multiple steps, and use of carcinogenic chemical products that would not be technically possible intra-operatively. In addition, the number of histological slides that can be reviewed and analyzed by a pathologist is limited, and it defines the number and size of sampled locations on the tumor, or the surrounding tissue.

To obtain histology-like information in a short time period, intraoperative cytological smear tests are performed. However tissue architecture information is thereby lost and the analysis is carried out on only a limited area of the sample (1 mm × 1 mm).

Intraoperative optical imaging techniques are recently developed high resolution imaging modalities that may help the surgeon to identify the persistence of tumor tissue at the resection boundaries. Using a conventional operating microscope with Xenon lamp illumination gives an overall view of the surgical site, but performance is limited by the poor discriminative capacity of the white light illumination at the surgical site interface. Better discrimination between normal and tumorous tissues has been obtained using fluorescence properties of tumor cells labeled with preoperatively administered 5-ALA. Tumor tissue shows a strong ALA-induced PPIX fluorescence at 635 nm and 704 nm when the operative field is illuminated with a 440 nm-filtered lamp. More complete resections of high-grade gliomas have been demonstrated using 5-ALA fluorescence guidance (Stummer et al., 2000), however brain parenchyma infiltrated by isolated tumor cells is not fluorescent, reducing the interest of this technique when resecting low-grade gliomas.

Refinement of this induced fluorescence technique has been achieved using a confocal microscope and intraoperative injection of sodium fluorescein. A 488 nm laser illuminates the operative field and tissue contact analysis is performed using a handheld surgical probe (field of view less than 0.5 × 0.5 mm) which scans the fluorescence of the surgical interface at the 505–585 nm band. Fluorescent isolated tumor cells are clearly identified at depths from 0 to 500 μm from the resection border (Sanai et al., 2011), demonstrating the potential of this technique in low-grade glioma resection.

Reviewing the state-of-the-art, a need is identified for a quick and reliable method of providing the neurosurgeon with architectural and cellular information without the need for injection or oral intake of exogenous markers in order to guide the neurosurgeon and optimize surgical resections.

1.2. Full-field optical coherence tomography

Introduced in the early 1990s (Huang et al., 1991), optical coherence tomography (OCT) uses interference to precisely locate light deep inside tissue. The photons coming from the small volume of interest are distinguished from light scattered by the other parts of the sample by the use of an interferometer and a light source with short coherence length. Only the portion of light with the same path length as the reference arm of the interferometer, to within the coherence length of the source (typically a few μm), will produce interference. A two-dimensional B-scan image is captured by scanning. Recently, the technique has been improved, mainly in terms of speed and sensitivity, through spectral encoding (De Boer et al., 2003, Leitgeb et al., 2003 and Wojtkowski et al., 2002).

A recent OCT technique called full-field optical coherence tomography (FF-OCT) enables both a large field of view and high resolution over the full field of observation (Dubois et al., 2002 and Dubois et al., 2004). This allows navigation across the wide field image to follow the morphology at different scales and different positions. FF-OCT uses a simple halogen or light-emitting diode (LED) light source for full field illumination, rather than lasers and point-by-point scanning components required for conventional OCT. The illumination level is low enough to maintain the sample integrity: the power incident on the sample is less than 1 mW/mm2 using deep red and near infrared light. FF-OCT provides the highest OCT 3D resolution of 1.5 × 1.5 × 1 μm3 (X × Y × Z) on unprepared label-free tissue samples down to depths of approximately 200 μm–300 μm (tissue-dependent) over a wide field of view that allows digital zooming down to the cellular level. Interestingly, it produces en face images in the native field view (rather than the cross-sectional images of conventional OCT), which mimic the histology process, thereby facilitating the reading of images by pathologists. Moreover, as for conventional OCT, it does not require tissue slicing or modification of any kind (i.e. no tissue fixation, coloration, freezing or paraffin embedding). FF-OCT image acquisition and processing time is less than 5 min for a typical 1 cm2 sample (Assayag et al., in press) and the imaging performance has been shown to be equivalent in fresh or fixed tissue (Assayag et al., in press and Dalimier and Salomon, 2012). In addition, FF-OCT intrinsically provides digital images suitable for telemedicine.

Numerous studies have been published over the past two decades demonstrating the suitability of OCT for in vivo or ex vivo diagnosis. OCT imaging has been previously applied in a variety of tissues such as the eye (Grieve et al., 2004 and Swanson et al., 1993), upper aerodigestive tract (Betz et al., 2008, Chen et al., 2007 and Ozawa et al., 2009), gastrointestinal tract (Tearney et al., 1998), and breast tissue and lymph nodes (Adie and Boppart, 2009, Boppart et al., 2004, Hsiung et al., 2007, Luo et al., 2005, Nguyen et al., 2009, Zhou et al., 2010 and Zysk and Boppart, 2006).

In the CNS, published studies that evaluate OCT (Bizheva et al., 2005, Böhringer et al., 2006, Böhringer et al., 2009, Boppart, 2003 and Boppart et al., 1998) using time-domain (TD) or spectral domain (SD) OCT systems had insufficient resolution (10 to 15 μm axial) for visualization of fine morphological details. A study of 9 patients with gliomas carried out using a TD-OCT system led to classification of the samples as malignant versus benign (Böhringer et al., 2009). However, the differentiation of tissues was achieved by considering the relative attenuation of the signal returning from the tumorous zones in relation to that returning from healthy zones. The classification was not possible by real recognition of CNS microscopic structures. Another study showed images of brain microstructures obtained with an OCT system equipped with an ultra-fast laser that offered axial and lateral resolution of 1.3 μm and 3 μm respectively (Bizheva et al., 2005). In this way, it was possible to differentiate malignant from healthy tissue by the presence of blood vessels, microcalcifications and cysts in the tumorous tissue. However the images obtained were small (2 mm × 1 mm), captured on fixed tissue only and required use of an expensive large laser thereby limiting the possibility for clinical implementation.

Other studies have focused on animal brain. In rat brain in vivo, it has been shown that optical coherence microscopy (OCM) can reveal neuronal cell bodies and myelin fibers (Srinivasan et al., 2012), while FF-OCT can also reveal myelin fibers (Ben Arous et al., 2011), and movement of red blood cells in vessels (Binding et al., 2011).

En face images captured with confocal reflectance microscopy can closely resemble FF-OCT images. For example, a prototype system used by Wirth et al. (2012) achieves lateral and axial resolution of 0.9 μm and 3 μm respectively. However small field size prevents viewing of wide-field architecture and slow acquisition speed prohibits the implementation of mosaicking. In addition, the poorer axial resolution and lower penetration depth of confocal imaging in comparison to FF-OCT limit the ability to reconstruct cross-sections from the confocal image stack.

This study is the first to analyze non-tumorous and tumorous human brain tissue samples using FF-OCT.

2. Materials and methods

2.1. Instrument

The experimental arrangement of FF-OCT (Fig. 1A) is based on a configuration that is referred to as a Linnik interferometer (Dubois et al., 2002). A halogen lamp is used as a spatially incoherent source to illuminate the full field of an immersion microscope objective at a central wavelength of 700 nm, with spectral width of 125 nm. The signal is extracted from the background of incoherent backscattered light using a phase-shifting method implemented in custom-designed software. This study was performed on a commercial FF-OCT system (LightCT, LLTech, France).

 

Fig 1

Capturing “en face” images allows easy comparison with histological sections. The resolution, pixel number and sampling requirements result in a native field of view that is limited to about 1 mm2. The sample is moved on a high precision mechanical platform and a number of fields are stitched together (Beck et al., 2000) to display a significant field of view. The FF-OCT microscope is housed in a compact setup (Fig. 1B) that is about the size of a standard optical microscope (310 × 310 × 800 mm L × W × H).

2.2. Imaging protocol

All images presented in this study were captured on fresh brain tissue samples from patients operated on at the Neurosurgery Department of Sainte-Anne Hospital, Paris. Informed and written consent was obtained in all cases following the standard procedure at Sainte-Anne Hospital from patients who were undergoing surgical intervention. Fresh samples were collected from the operating theater immediately after resection and sent to the pathology department. A pathologist dissected each sample to obtain a 1–2 cm2 piece and made a macroscopic observation to orientate the specimen in order to decide which side to image. The sample was immersed in physiological serum, placed in a cassette, numbered, and brought to the FF-OCT imaging facility in a nearby laboratory (15 min distant) where the FF-OCT images were captured. The sample was placed in a custom holder with a coverslip on top (Fig. 1C, D). The sample was raised on a piston to rest gently against the coverslip in order to flatten the surface and so optimize the image capture. The sample is automatically scanned under a 10 × 0.3 numerical aperture (NA) immersion microscope objective. The immersion medium is a silicone oil of refractive index close to that of water, chosen to optimize index matching and slow evaporation. The entire area of each sample was imaged at a depth of 20 μm beneath the sample surface. This depth has been reported to be optimal for comparison of FF-OCT images to histology images in a previous study on breast tissue (Assayag et al., in press). There are several reasons for the choice of imaging depth: firstly, histology was also performed at approximately 20 μm from the edge of the block, i.e. the depth at which typically the whole tissue surface begins to be revealed. Secondly, FF-OCT signal is attenuated with depth due to multiple scattering in the tissue, and resolution is degraded with depth due to aberrations. The best FF-OCT images are therefore captured close to the surface, and the best matching is achieved by attempting to image at a similar depth as the slice in the paraffin block. It was also possible to capture image stacks down to several hundred μm in depth (where penetration depth is dependent on tissue type), for the purpose of reconstructing a 3D volume and imaging layers of neurons and myelin fibers. An example of such a stack in the cerebellum is shown as a video (Video 2) in supplementary material. Once FF-OCT imaging was done, each sample was immediately fixed in formaldehyde and returned to the pathology department where it underwent standard processing in order to compare the FF-OCT images to histology slides.

2.3. Matching FF-OCT to histology

The intention in all cases was to match as closely as possible to histology. FF-OCT images were captured 20 μm below the surface. Histology slices were captured 20 μm from the edge of the block. However the angle of the inclusion is hard to control and so some difference in the angle of the plane always exists when attempting matching. Various other factors that can cause differences stem from the histology process — fixing, dehydrating, paraffin inclusion etc. all alter the tissue and so precise correspondence can be challenging. Such difficulties are common in attempting to match histology to other imaging modalities (e.g. FF-OCT Assayag et al., in press; OCT Bizheva et al., 2005; confocal microscopy Wirth et al., 2012).

An additional parameter in the matching process is the slice thickness. Histology slides were 4 μm in thickness while FF-OCT optical slices have a 1 μm thickness. The finer slice of the FF-OCT image meant that lower cell densities were perceived on the FF-OCT images (in those cases where individual cells were seen, e.g. neurons in the cortex). This difference in slice thickness affects the accuracy of the FF-OCT to histology match. In order to improve matching, it would have been possible to capture four FF-OCT slices in 1 μm steps and sum the images to mimic the histology thickness. However, this would effectively degrade the resolution, which was deemed undesirable in evaluating the capacities of the FF-OCT method.

3. Results

18 samples from 18 adult patients (4 males, 14 females) of age range 19–81 years have been included in the study: 1 mesial temporal lobe epilepsy and 1 cerebellum adjacent to a pulmonary adenocarcinoma metastasis (serving as the non-tumor brain samples), 7 diffuse supratentorial gliomas (4 WHO grade II, 3 WHO grade III), 5 meningiomas, 1 hemangiopericytoma, and 1 choroid plexus papilloma. Patient characteristics are detailed in Table 1.

 

Table 1

3.1. FF-OCT imaging identifies myelinated axon fibers, neuronal cell bodies and vasculature in the human epileptic brain and cerebellum

The cortex and the white matter are clearly distinguished from one another (Fig. 2). Indeed, a subpopulation of neuronal cell bodies (Fig. 2B, C) as well as myelinated axon bundles leading to the white matter could be recognized (Fig. 2D, E). Neuronal cell bodies appear as dark triangles (Fig. 2C) in relation to the bright surrounding myelinated environment. The FF-OCT signal is produced by backscattered photons from tissues of differing refractive indices. The number of photons backscattered from the nuclei in neurons appears to be too few to produce a signal that allows their differentiation from the cytoplasm, and therefore the whole of the cell body (nucleus plus cytoplasm) appears dark.

Fig 2

 

Myelinated axons are numerous, well discernible as small fascicles and appear as bright white lines (Fig. 2E). As the cortex does not contain many myelinated axons, it appears dark gray. Brain vasculature is visible (Fig. 2F and G), and small vessels are distinguished by a thin collagen membrane that appears light gray. Video 1 in supplementary material shows a movie composed of a series of en face 1 μm thick optical slices captured over 100 μm into the depth of the cortex tissue. The myelin fibers and neuronal cell bodies are seen in successive layers.

The different regions of the human hippocampal formation are easily recognizable (Fig. 3). Indeed, CA1 field and its stratum radiatum, CA4 field, the hippocampal fissure, the dentate gyrus, and the alveus are easily distinguishable. Other structures become visible by zooming in digitally on the FF-OCT image. The large pyramidal neurons of the CA4 field (Fig. 3B) and the granule cells that constitute the stratum granulosum of the dentate gyrus are visible, as black triangles and as small round dots, respectively (Fig. 3D).

 

Fig 3

In the normal cerebellum, the lamellar or foliar pattern of alternating cortex and central white matter is easily observed (Fig. 4A). By digital zooming, Purkinje and granular neurons also appear as black triangles or dots, respectively (Fig. 4C), and myelinated axons are visible as bright white lines (Fig. 4E). Video 2 in supplementary material shows a fly-through movie in the reconstructed axial slice orientation of a cortex region in cerebellum. The Purkinje and granular neurons are visible down to depths of 200 μm in the tissue.

 

Fig 4

3.2. FF-OCT images distinguish meningiomas from hemangiopericytoma in meningeal tumors

The classic morphological features of a meningioma are visible on the FF-OCT image: large lobules of tumorous cells appear in light gray (Fig. 5A), demarcated by collagen-rich bundles (Fig. 5B) which are highly scattering and appear a brilliant white in the FF-OCT images. The classic concentric tumorous cell clusters (whorls) are very clearly distinguished on the FF-OCT image (Fig. 5D). In addition the presence of numerous cell whorls with central calcifications (psammoma bodies) is revealed (Fig. 5F). Collagen balls appear bright white on the FF-OCT image (Fig. 5H). As the collagen balls progressively calcify, they are consumed by the black of the calcified area, generating a target-like image (Fig. 5H). Calcifications appear black in FF-OCT as they are crystalline and so allow no penetration of photons to their interior.

Fig 5

Mesenchymal non-meningothelial tumors such as hemangiopericytomas represent a classic differential diagnosis of meningiomas. In FF-OCT, the hemangiopericytoma is more monotonous in appearance than the meningiomas, with a highly vascular branching component with staghorn-type vessels (Fig. 6A, C).

Fig 6

3.3. FF-OCT images identify choroid plexus papilloma

The choroid plexus papilloma appears as an irregular coalescence of multiple papillas composed of elongated fibrovascular axes covered by a single layer of choroid glial cells (Fig. 7). By zooming in on an edematous papilla, the axis appears as a black structure covered by a regular light gray line (Fig. 7B). If the papilla central axis is hemorrhagic, the fine regular single layer is not distinguishable (Fig. 7C). Additional digital zooming in on the image reveals cellular level information, and some nuclei of plexus choroid cells can be recognized. However, cellular atypia and mitosis are not visible. These represent key diagnosis criteria used to differentiate choroid plexus papilloma (grade I) from atypical plexus papilloma (grade II).

Fig 7

3.4. FF-OCT images detect the brain tissue architecture modifications generated by diffusely infiltrative gliomas

Contrary to the choroid plexus papillomas which have a very distinctive architecture in histology (cauliflower-like aspect), very easily recognized in the FF-OCT images (Fig. 7A to G), diffusely infiltrating glioma does not present a specific tumor architecture (Fig. 8) as they diffusely permeate the normal brain architecture. Hence, the tumorous glial cells are largely dispersed through a nearly normal brain parenchyma (Fig. 8E). The presence of infiltrating tumorous glial cells attested by high magnification histological observation (irregular atypical cell nuclei compared to normal oligodendrocytes) is not detectable with the current generation of FF-OCT devices, as FF-OCT cannot reliably distinguish the individual cell nuclei due to lack of contrast (as opposed to lack of resolution). In our experience, diffuse low-grade gliomas (less than 20% of tumor cell density) are mistaken for normal brain tissue on FF-OCT images. However, in high-grade gliomas (Fig. 8G–K), the infiltration of the tumor has occurred to such an extent that the normal parenchyma architecture is lost. This architectural change is easily observed in FF-OCT and is successfully identified as high-grade glioma, even though the individual glial cell nuclei are not distinguished.

Fig 8

4. Discussion

We present here the first large size images (i.e. on the order of 1–3 cm2) acquired using an OCT system that offer spatial resolution comparable to histological analysis, sufficient to distinguish microstructures of the human brain parenchyma.

Firstly, the FF-OCT technique and the images presented here combine several practical advantages. The imaging system is compact, it can be placed in the operating room, the tissue sample does not require preparation and image acquisition is rapid. This technique thus appears promising as an intraoperative tool to help neurosurgeons and pathologists.

Secondly, resolution is sufficient (on the order of 1 μm axial and lateral) to distinguish brain tissue microstructures. Indeed, it was possible to distinguish neuron cell bodies in the cortex and axon bundles going towards white matter. Individual myelin fibers of 1 μm in diameter are visible on the FF-OCT images. Thus FF-OCT may serve as a real-time anatomical locator.

Histological architectural characteristics of meningothelial, fibrous, transitional and psammomatous meningiomas were easily recognizable on the FF-OCT images (lobules and whorl formation, collagenous-septae, calcified psammoma bodies, thick vessels). Psammomatous and transitional meningiomas presented distinct architectural characteristics in FF-OCT images in comparison to those observed in hemangiopericytoma. Thus, FF-OCT may serve as an intraoperative tool, in addition to extemporaneous examination, to refine differential diagnosis between pathological entities with different prognoses and surgical managements.

Diffuse glioma was essentially recognized by the loss of normal parenchyma architecture. However, glioma could be detected on FF-OCT images only if the glial cell density is greater than around 20% (i.e. the point at which the effect on the architecture becomes noticeable). The FF-OCT technique is therefore not currently suitable for the evaluation of low tumorous infiltration or tumorous margins. Evaluation at the individual tumor cell level is only possible by IDH1R132 immunostaining in IDH1 mutated gliomas in adults (Preusser et al., 2011). One of the current limitations of the FF-OCT technique for use in diagnosis is the difficulty in estimating the nuclear/cytoplasmic boundaries and the size and form of nuclei as well as the nuclear-cytoplasmic ratio of cells. This prevents precise classification into tumor subtypes and grades.

To increase the accuracy of diagnosis of tumors where cell density measurement is necessary for grading, perspectives for the technique include development of a multimodal system (Harms et al., 2012) to allow simultaneous co-localized acquisition of FF-OCT and fluorescence images. The fluorescence channel images in this multimodal system show cell nuclei, which increase the possibility of diagnosis and tumor grading direct from optical images. However, the use of contrast agents for the fluorescence channel means that the multimodal imaging technique is no longer non-invasive, and this may be undesirable if the tissue is to progress to histology following optical imaging. This is a similar concern in confocal microscopy where use of dyes is necessary for fluorescence detection (Wirth et al., 2012).

In its current form therefore, FF-OCT is not intended to serve as a diagnostic tool, but should rather be considered as an additional intraoperative aid in order to determine in a short time whether or not there is suspicious tissue present in a sample. It does not aim to replace histological analyses but rather to complement them, by offering a tool at the intermediary stage of intraoperative tissue selection. In a few minutes, an image is produced that allows the surgeon or the pathologist to assess the content of the tissue sample. The selected tissue, once imaged with FF-OCT, may then proceed to conventional histology processing in order to obtain the full diagnosis (Assayag et al., in press and Dalimier and Salomon, 2012).

Development of FF-OCT to allow in vivo imaging is underway, and first steps include increasing camera acquisition speed. First results of in vivo rat brain imaging have been achieved with an FF-OCT prototype setup, and show real-time visualization of myelin fibers (Ben Arous et al., 2011) and movement of red blood cells in vessels (Binding et al., 2011). To respond more precisely to surgical needs, it would be preferable to integrate the FF-OCT system into a surgical probe. Work in this direction is currently underway and preliminary images of skin and breast tissue have been captured with a rigid probe FF-OCT prototype (Latrive and Boccara, 2011).

In conclusion, we have demonstrated the capacity of FF-OCT for imaging of human brain samples. This technique has potential as an intraoperative tool for determining tissue architecture and content in a few minutes. The 1 μm3 resolution and wide-field down to cellular-level views offered by the technique allowed identification of features of non-tumorous and tumorous tissues such as myelin fibers, neurons, microcalcifications, tumor cells, microcysts, and blood vessels. Correspondence with histological slides was good, indicating suitability of the technique for use in clinical practice for tissue selection for biobanking for example. Future work to extend the technique to in vivo imaging by rigid probe endoscopy is underway.

The following are the supplementary data related to this article.

Video 1.  Shows a movie composed of a series of en face 1 μm thick optical slices captured over 100 μm into the depth of the cortex tissue. The myelin fibers and neuronal cell bodies are seen in successive layers. Field size is 800 μm × 800 μm.

Video 2.  Shows a fly-through movie in the reconstructed cross-sectional orientation showing 1 μm steps through a 3D stack down to 200 μm depth in cerebellum cortical tissue. Purkinje and granular neurons are visible as dark spaces. Field size is 800 μm × 200 μm.

Acknowledgments

The authors wish to thank LLTech SAS for use of the LightCT Scanner.

References

 

Adie and Boppart, 2009

Adie, Boppart

Optical Coherence Tomography for Cancer Detection

SpringerLink (2009), pp. 209–250

Assayag et al., in press

Assayag et al.

Large field, high resolution full field optical coherence tomography: a pre-clinical study of human breast tissue and cancer assessment

Technology in Cancer Research & Treatment TCRT Express, 1 (1) (2013), p. e600254http://dx.doi.org/10.7785/tcrtexpress.2013.600254

Beck et al., 2000

Beck et al.

Computer-assisted visualizations of neural networks: expanding the field of view using seamless confocal montaging

Journal of Neuroscience Methods, 98 (2) (2000), pp. 155–163

Ben Arous et al., 2011

Ben Arous et al.

Single myelin fiber imaging in living rodents without labeling by deep optical coherence microscopy

Journal of Biomedical Optics, 16 (11) (2011), p. 116012

Full Text via CrossRef

Betz et al., 2008

C.S. Betz et al.

A set of optical techniques for improving the diagnosis of early upper aerodigestive tract cancer

Medical Laser Application, 23 (2008), pp. 175–185

Binding et al., 2011

Binding et al.

Brain refractive index measured in vivo with high-NA defocus-corrected full-field OCT and consequences for two-photon microscopy

Optics Express, 19 (6) (2011), pp. 4833–4847

Bizheva et al., 2005

Bizheva et al.

Imaging ex vivo healthy and pathological human brain tissue with ultra-high-resolution optical coherence tomography

Journal of Biomedical Optics, 10 (2005), p. 011006 http://dx.doi.org/10.1117/1.1851513

Böhringer et al., 2006

Böhringer et al.

Time domain and spectral domain optical coherence tomography in the analysis of brain tumor tissue

Lasers in Surgery and Medicine, 38 (2006), pp. 588–597 http://dx.doi.org/10.1002/lsm.20353

Böhringer et al., 2009

Böhringer et al.

Imaging of human brain tumor tissue by near-infrared laser coherence tomography

Acta Neurochirurgica, 151 (2009), pp. 507–517 http://dx.doi.org/10.1007/s00701-009-0248-y

Boppart, 2003

Boppart

Optical coherence tomography: technology and applications for neuroimaging

Psychophysiology, 40 (2003), pp. 529–541 http://dx.doi.org/10.1111/1469-8986.00055

Boppart et al., 1998

Boppart et al.

Optical coherence tomography for neurosurgical imaging of human intracortical melanoma

Neurosurgery, 43 (1998), pp. 834–841 http://dx.doi.org/10.1097/00006123-199810000-00068

Boppart et al., 2004

Boppart et al.

Optical coherence tomography: feasibility for basic research and image-guided surgery of breast cancer

Breast Cancer Research and Treatment, 84 (2004), pp. 85–97

Chen et al., 2007

Chen et al.

Ultrahigh resolution optical coherence tomography of Barrett’s esophagus: preliminary descriptive clinical study correlating images with histology

Endoscopy, 39 (2007), pp. 599–605

Dalimier and Salomon, 2012

Dalimier, Salomon

Full-field optical coherence tomography: a new technology for 3D high-resolution skin imaging

Dermatology, 224 (2012), pp. 84–92 http://dx.doi.org/10.1159/000337423

De Boer et al., 2003

De Boer et al.

Improved signal-to-noise ratio in spectral-domain compared with time-domain optical coherence tomography

Optics Letters, 28 (2003), pp. 2067–2069

Dubois et al., 2002

Dubois et al.

High-resolution full-field optical coherence tomography with a Linnik microscope

Applied Optics, 41 (4) (2002), p. 805

Dubois et al., 2004

Dubois et al.

Ultrahigh-resolution full-field optical coherence tomography

Applied Optics, 43 (14) (2004), p. 2874

Grieve et al., 2004

Grieve et al.

Ocular tissue imaging using ultrahigh-resolution, full-field optical coherence tomography

Investigative Ophthalmology & Visual Science, 45 (2004), pp. 4126-3–4131

Harms et al., 2012

Harms et al.

Multimodal full-field optical coherence tomography on biological tissue: toward all optical digital pathology

Proc. SPIE 2011, Multimodal Biomedical Imaging VII, 8216 (2012)

Hsiung et al., 2007

Hsiung et al.

Benign and malignant lesions in the human breast depicted with ultrahigh resolution and three-dimensional optical coherence tomography

Radiology, 244 (2007), pp. 865–874

Read Full Post »

Causes and imaging features of false positives and false negatives on 18F-PET/CT in oncologic imaging

Author and Curator: Dror Nir, PhD

Early this year I have posted on: Whole-body imaging as cancer screening tool; answering an unmet clinical need? F-PET/CT was discussed in this post as a leading modality in that respect. Here I report on an article dedicated to the sources for misdiagnosis; i.e. false negatives and false positives when applying this technology:

Causes and imaging features of false positives and false negatives on 18F-PET/CT in oncologic imaging, Niamh M. Long and Clare S. Smith /Insights into Imaging© European Society of Radiology 201010.1007/s13244-010-0062-3

Abstract

Background

18F-FDG is a glucose analogue that is taken up by a wide range of malignancies. 18F-FDG PET-CT is now firmly established as an accurate method for the staging and restaging of various cancers. However, 18F-FDG also accumulates in normal tissue and other non-malignant conditions, and some malignancies do not take up F18-FDG or have a low affinity for the tracer, leading to false-positive and false-negative interpretations.

Methods

PET-CT allows for the correlation of two separate imaging modalities, combining both morphological and metabolic information. We should use the CT to help interpret the PET findings. In this article we will highlight specific false-negative and false-positive findings that one should be aware of when interpreting oncology scans.

Results

We aim to highlight post-treatment conditions that are encountered routinely on restaging scans that can lead to false-positive interpretations. We will emphasise the importance of using the CT component to help recognise these entities to allow improved diagnostic accuracy.

Conclusion

In light of the increased use of PET-CT, it is important that nuclear medicine physicians and radiologists be aware of these conditions and correlate the PET and CT components to avoid misdiagnosis, over staging of disease and unnecessary biopsies.

Introduction

[18F] 2-fluoro-2deoxy-D-glucose (18F-FDG) PET-CT imaging has become firmly established as an excellent clinical tool in the diagnosis, staging and restaging of cancer. 18F-FDG (a glucose analog) is taken up by cells via glucose transporter proteins. The glucose analog then undergoes phosphorylation by hexokinase to FDG-6 phosphate. Unlike glucose, FDG-phosphate does not undergo further metabolism and so becomes trapped in the cell as the cell membrane is impermeable to FDG-6 phosphate following phosphorylation [1].

Malignant tumors have a higher metabolic rate and generally express higher numbers of specific membrane transporter proteins than normal cells. This results in increased uptake of 18F-FDG by tumor cells and forms the basis of FDG-PET imaging [2]. Glucose however acts as a basic energy substrate for many tissues, and so 18F-FDG activity can be seen both physiologically and in benign conditions. In addition, not all tumors take up FDG [3–5]. The challenge for the interpreting physician is to recognize these entities and avoid the many pitfalls associated with 18F-FDG PET-CT imaging.

In this article we discuss false-positive and false-negative 18F-FDG PET-CT findings, common and atypical physiological sites of FDG uptake, and benign pathological causes of FDG uptake. We will focus on post-treatment conditions that can result in false-positive findings. We will highlight the importance of utilizing the CT component of the study, not only for attenuation correction but also in the interpretation of the study. The CT component of 18F-FDG PET-CT imaging can provide high-resolution anatomical information, which enables more accurate staging and assessment. For the purposes of this article, we refer to the descriptive terms “false-positive” and “false-negative” findings in the context of oncology imaging.

The authors acknowledge that there are recognized causes of FDG uptake that are not related to malignancy; however in this paper we refer to false-positive findings as FDG uptake that is not tumor related.

Patient preparation

Tumor uptake of FDG is reduced in the presence of raised serum glucose as glucose competes with FDG for uptake by the membrane transporter proteins. In order to prevent false-negative results, it is necessary for the patient to fast for at least 4–6 h prior to the procedure [6]. Induction of a euglycamic hypoinsulinaemic state also serves to reduce the uptake of glucose by the myocardium and skeletal muscle. In the fasting state, the decreased availability of glucose results in predominant metabolism of fatty acids by the myocardium. This reduces the intensity of myocardial uptake and prevents masking of metastatic disease within the mediastinum [6].

The radiotracer is administered intravenously (dose dependent on both the count rate capability of the system used and the patient’s weight), and the patient is left resting in a comfortable position during the uptake phase (60–90 min). Patient discomfort and anxiety can result in increased uptake in skeletal muscles of the neck and paravertebral regions. Muscular contraction immediately prior to or following injection can result in increased FDG activity in major muscle groups [6].

Patients are placed in a warm, quiet room with little stimulation, as speech during the uptake phase is associated with increased FDG uptake in the laryngeal muscles [7].

At our institution we perform the CT component with arms up except for head and neck studies where the arms are placed down by the side. This minimizes artifacts on CT. Depending on the type of cancer, oral contrast to label the bowel and intravenous contrast may also be given. The CT is performed with a full dose similar to a diagnostic CT, and lungs are analyzed following reconstruction with a lung algorithm. The PET scan is performed with 3–4 min per bed position; however the time per bed position will vary in different centers depending on both the dose of FDG administered and the specifications of the camera used for image acquisition. It is beyond the scope of this article to provide detailed procedure guidelines for 18F-FDG PET-CT imaging, and for this purpose we refer the reader to a comprehensive paper by Boellaard et al. [8].

Technical causes of false positives

Misregistration artifact

The evaluation of pulmonary nodules provides a unique challenge for combined PET-CT scanning due to differences in breathing patterns between CT and PET acquisition periods. CT imaging of the thorax is classically performed during a breath-hold; however PET images are acquired during tidal breathing, and this can contribute significantly to misregistration of pulmonary nodules on fused PET-CT images. Misregistration is particularly evident at the lung bases, which can lead to difficulty differentiating pulmonary nodules from focal liver lesions (Fig. 1) [9].

f1

Fig. 1

18F-FDG PET-CT performed in a 65-year-old male with colorectal cancer. On the coronal PET images, a focus of increased FDG uptake is seen at the right lung base (black arrow). Contrast CT does not show any pulmonary nodules but does demonstrate a liver metastasis in the superior aspect of the right lobe of the liver (yellow arrow)

Acquiring CT imaging of the thorax during quiet respiration can help to minimize misregistration artifacts. It is also important to correlate your PET and CT findings by scrolling up and down to make sure that lesions match.

Injected clot

A further diagnostic pitfall in staging of intrathoracic disease can be caused by injected clot. Injection of radioactive clot following blood withdrawal into the syringe at the time of radiotracer administration can result in pulmonary hotspots [10]. The absence of a CT correlate for a pulmonary hotspot should raise the possibility of injected clot; however this is a diagnosis of exclusion, and it is important to carefully evaluate the adjacent slices to ensure the increased radiotracer activity does not relate to misregistration of a pulmonary nodule or hilar lymph node. The area of abnormal radiotracer uptake should also be closely evaluated on subsequent restaging CT to ensure there has been no interval development of an anatomical abnormality in the region of previously diagnosed injected clot (Fig. 2) [11].

f2

Fig. 2

18F-FDG PET-CT performed in a 28-year-old male with an osteosarcoma of the femur. A focus of increased FDG uptake (yellow arrow) is identified in the left lower lobe with no CT correlate (a). A 3-month follow-up CT thorax again does not demonstrate any pulmonary nodules confirming that the uptake seen originally on the PET-CT was due to injected clot (b)

Injection artifact

Leakage of radiotracer into the subcutaneous tissues at the injection site or tissued injection can result in subcutaneous tracking of FDG along lymphatic channels in the arm. This can result in spurious uptake in axillary nodes distal to the injection site [12]. Careful attention must be paid to the technical aspects of the study to ensure accurate staging. Injection at the side contralateral to the site of disease is advised where feasible to allow differentiation between artifactual and metastatic uptake, particularly in breast cancer patients. The side of injection should also be clearly documented during administration of radiotracer, and this information should be available to the reader in order to ensure pathological FDG uptake is not spuriously attributed to injection artifact (Fig. 3).

f3

Fig. 3

18F-FDG PET-CT performed in a 56-year-old woman with colorectal cancer. Some low grade FDG uptake is identified in non-enlarged right axillary nodes (yellow arrow) consistent with injection artifact

Imaging of metallic implants

The use of CT for attenuation correction negates the need for traditional transmission attenuation correction, reducing scanning time. There are however technical factors relating to the use of CT imaging for attenuation correction, which lead to artefacts when imaging metal [9]. The presence of metal implants in the body produces streak artifact on CT imaging and degrades image quality. When CT images are used for attenuation correction, the presence of metal results in over attenuation of PET activity in this region and can result in artifactual ‘hot spots.’ Metal prostheses, dental fillings, indwelling ports and breast expanders and sometimes contrast media are common causes of streak artifact secondary to high photon absorption and can cause attenuation correction artifacts [9]. In order to avoid false positives, particularly when imaging metallic implants careful attenuation should be paid to the nonattenuation corrected images, which do not produce this artifact.

Sites of physiological FDG uptake

Physiological uptake in a number of organs is readily recognized and rarely confused with malignancy. These include cerebral tissue, the urinary system, liver and spleen. Approximately 20% of administered activity is renally excreted in the 2 h post-injection resulting in intense radiotracer activity in the renal collecting systems, ureters and bladder [13]. In order to minimize the intensity of renal activity, patients are advised to void prior to imaging. Moderate physiological FDG uptake is noted in the liver, spleen, GI tract and salivary glands. Uptake in the cecum and right colon tends to be higher than in the remainder of the colon due to the presence of glucose-avid lymphocytes [14].

Other sites of physiological FDG activity can be confused with malignancy. Examples include activity within brown fat, adrenal activity, uterus and ovaries.

Brown fat

FDG uptake in hyper-metabolic brown adipose tissue is well recognized as a potential source of false positive in 18F-FDG PET-CT imaging. The incidence of FDG uptake in brown fat has been reported as between 2.5–4% [15, 16].

Hypermetabolic brown fat is more commonly identified in children than in adults and is more prevalent in females than in males. It occurs more frequently in patients with low body mass index and in cold weather [15].

Glucose accumulation within brown fat is increased by sympathetic stimulation as brown fat is innervated by the sympathetic nervous system. In view of this, administration of oral propranolol is advised by some authors as it has been shown to reduce the uptake of FDG by brown fat [17]. This is not performed at our institution; however, attempts are made to reduce FDG uptake in brown fat by maintaining a warm ambient temperature and providing patients with blankets during the uptake phase.

The typical distribution of brown fat in a bilateral symmetric pattern in the supraclavicular and neck regions is rarely confused with malignancy. In cases where hypermetabolic brown fat is seen to surround lymph nodes, the CT images should be separately evaluated to allow morphological assessment of the lymph nodes. The classical CT features of pathological replacement of lymph nodes should be sought, namely increased short axis diameter, loss of the fatty hilum and loss of the normal concavity of the lymph node. If the morphology of the lymph node is entirely normal, malignancy can be confidently excluded and the increased uptake attributed to brown fat [18].

Atypical brown fat in the mediastinum can be misinterpreted as nodal metastases and has been identified in the paratracheal, paraoesophageal, prevascular regions, along the pericardium and in the interatrial septum. Extramediastinal sites of brown fat uptake include the paravertebral regions, perinephric, perihepatic and subdiaphragmatic regions and in the intraatrial septum [16].

The absence of an anatomical lesion on CT imaging in areas of FDG uptake should raise the possibility of brown fat to the reader. Careful evaluation of the CT images must be performed to confirm the presence of adipose tissue in the anatomical region correlating to the increased FDG activity on 18F-FDG PET before this activity be attributed to brown fat.

An awareness of the possibility of brown fat in atypical locations is vital to avoid overstaging, and correlation with CT imaging increases reader confidence in differentiating brown fat from malignancy (Fig. 4).

f4

Fig. 4

18F-FDG PET-CT surveillance scan performed in a 36-year-old male with a history of seminoma. Symmetrical uptake is noted in the neck, supraclavicular fossa and paravertebral regions consistent with typical appearance of brown fat activity (black arrow). Brown fat uptake is also seen in the left supradiaphragmatic region and left paraoesophageal region (yellow arrow) (a). 18F-FDG PET-CT performed in a 48-year-old male with a history of colorectal cancer. Increased FDG uptake is noted within brown fat associated with lipomatous hypertrophy of the intra-atrial septum (b)

Uterine and ovarian uptake

In premenopausal women endometrial uptake of FDG varies cyclically and is increased both at ovulation and during the menstrual phase of the cycle with mean SUV values of 3.5–5 [19]. Endometrial uptake in postmenopausal women is abnormal and warrants further investigation; however benign explanations for increased FDG uptake include recent curettage, uterine fibroids and endometrial polyps [19].

Benign ovarian uptake of FDG in premenopausal women can be associated with ovulation. In postmenopausal women, ovarian uptake of FDG should be further investigated (Fig. 5).

f5

Fig. 5

18F-FDG PET-CT performed in a 42-year-old premenopausal female with breast cancer. She was scanned during menstruation. FDG uptake is noted within metastatic right axillary nodes (black arrow). Increased FDG uptake is also noted within the endometrial canal of the uterus (yellow arrow), which is thickened on CT, consistent with active menstruation (a). 18F-FDG PET-CT performed in the same 42-year-old woman at a different stage in her menstrual cycle showing resolution of the previously identified uterine uptake (yellow arrow) (b)

Adrenal uptake

18F-FDG PET imaging is commonly used for evaluation of adrenal masses in patients with diagnosed malignancies. Similarly incidental adrenal lesions are commonly identified on staging 18F-FDG PET-CT imaging. The positive predictive value of 18F-FDG PET-CT evaluation of adrenal lesions has been reported as high as 95% with a similarly high negative predictive value of 94% [20].

Causes of false-positive adrenal lesions include angiomyolipoma, adrenal hyperplasia and adrenal adenomas (up to 5%) [21, 24]. FDG activity greater than that of the liver is generally associated with malignancy; however benign lesions have been reported with greater activity than liver [21].

Evaluation of the CT component can provide additional diagnostic information with identification of HU attenuation values of <10 on noncontrast CT for adrenal adenomas or fat-containing myelolipomata [21].

Symmetrical intense FDG activity with no identifiable abnormality on CT is associated with benign physiological FDG uptake (Fig. 6).

f6 f6-b

Fig. 6

18F-FDG PET-CT performed in a 50-year-old woman with inflammatory breast cancer. Diffuse increased FDG uptake is noted within the right breast (yellow arrow) and in a right axillary node (black arrow), consistent with malignancy (a). Increased symmetrical uptake is also noted within both adrenal glands with no abnormal correlate on CT (yellow arrow) (b). Post-chemotherapy PET-CT performed 5 months later demonstrates resolution of the activity within the breast, increased uptake in the bone marrow consistent with post treatment effect (black arrow) and persistent increased uptake in the adrenal glands (yellow arrow), confirming benign physiological activity (c)

Thyroid uptake

Thyroid uptake is incidentally identified on 18F-FDG PET imaging with a frequency of almost 4%, with a diffuse uptake pattern in roughly half of cases and a focal pattern in the remainder [22]. The majority of diffuse uptake represents chronic thyroiditis, multinodular goiter or Graves’ disease, whereas focal uptake is associated with a risk of malignancy that ranges from 30.9–63.6% in published studies [22, 23]. Focal thyroid uptake requires further investigation with ultrasound and tissue biopsy.

Uptake in the gastrointestinal tract

The pattern of physiological uptake within the GI tract is highly variable. Low-grade linear uptake is likely related to smooth muscle activity and swallowed secretions. More focal increased uptake in the distal esophagus is sometimes seen with Barrett’s esophagus. In view of this, referral for OGD may be reasonable in cases of increased uptake in the distal esophagus [14, 24].

The typical pattern of FDG uptake in the stomach is of low-grade activity in a J-shaped configuration. Small bowel typically demonstrates mild heterogeneous uptake throughout. Common pitfalls of small bowel evaluation relate to spuriously high uptake in underdistened or overlapping loops of bowel [14, 25].

Within the colon, FDG uptake is highly variable, however can be quite avid particularly in the cecum, right colon and rectosigmoid regions. Focal areas of FDG activity within the colon that are of greater intensity than background liver uptake should raise the suspicion of a colonic neoplasm (Fig. 7) [25, 26].

f7

Fig. 7

18F-FDG PET-CT restaging scan performed in a 65-year-old female with a history of breast cancer. Incidental focal uptake is identified in the ascending colon where some abnormal thickening is seen on the CT component (yellow arrow). Colonoscopy confirmed the presence of a T3 adenocarcinoma

In a review of over 3,000 patients’ focal areas of abnormal FDG uptake within the gastrointestinal tract (GIT) were identified in 3% of cases of staging 18F-FDG PET-CT studies.

Incidental malignant lesions were identified in 19% of these patients with pre-malignant lesions including adenomas in 42% of the patients [27]. In view of this endoscopy referral is recommended in the absence of a clear benign correlate for focal areas of avid uptake on CT imaging.

Treatment-related causes of false-positive uptake

There are a number of conditions that can occur in patients undergoing treatment for cancer. When imaging these patients to assess for response, we often see these treatment-related conditions. It is important to recognize the imaging features to avoid misdiagnosis.

Thymus/thymic hyperplasia

Thymic hyperplasia post-chemotherapy is a well-described phenomenon. It is generally seen in children and young adults at a median of 12 months post chemotherapy [28]. The presence of increased FDG uptake in the anterior mediastinum can be attributed to thymic hyperplasia by identification of a triangular soft tissue density seen retrosternally on CT with a characteristic bilobed anatomical appearance [29]. In the presence of thymic hyperplasia, there is generally preservation of the normal shape of the gland despite an increase in size [30].

Superior mediastinal extension of thymic tissue is an anatomical variant that has been described in children and young adults (Fig. 8).

f8

Fig. 8

A 3.5-year-old boy with abdominal Burkitt’s lymphoma. Coronal 18F-FDG PET scan obtained 5 months after completion of treatment shows increased activity in the thymus in an inverted V configuration and in superior thymic extension (white arrow). Note physiologic activity within the right neck in the sternocleidomastoid muscle (a). Axial CT image from the same 18F-FDG PET-CT study performed 5 months after treatment shows a nodule (white arrow) anteromedial to the left brachiocephalic vein (b). Axial fusion image shows that the FDG activity in the superior mediastinum corresponds to this enlarged nodule anteromedial to left brachiocephalic vein (white arrow) (c). Axial fusion image shows increased activity in an enlarged thymus consistent with thymic hyperplasia (white arrow; standardized uptake value 3.0) of similar intensity to activity in superior mediastinum (d)

It presents as a soft tissue nodule anteromedial to the left brachiocephalic vein and represents a remnant of thymic tissue along the path of migration in fetal life. In patients with thymic hyperplasia, a superior mediastinal nodule in this location may represent accessory thymic tissue. An awareness of this physiological variant is necessary to prevent misdiagnosis [28].

G-CSF changes

Granulocyte colony-stimulating factor is a glycoprotein hormone that regulates proliferation and differentiation of granulocyte precursors. It is used to accelerate recovery from chemotherapy-related neutropaenia in cancer patients. Intense increased FDG uptake is commonly observed in the bone marrow and spleen following GCSF therapy; however the bone marrow response to GCSF can be differentiated from pathological infiltration by its intense homogeneous nature without focally increased areas of FDG uptake. Increased FDG uptake attributable to GCSF uptake rapidly decreases following completion of therapy and generally resolves within a month (Fig. 9).

f9

Fig. 9

18F-FDG PET-CT performed in a 46-year-old male post four cycles of chemotherapy for lymphoma and 2 weeks post administration of G-CSF. Note the diffuse homogeneous increased uptake throughout the bone marrow and the increased uptake in the spleen (yellow arrow)

Marked uptake in the bone marrow can also be seen following chemotherapy, reflecting marrow activation [31, 32].

Radiation pneumonitis

Inflammatory morphological changes in the radiation field post-irradiation of primary or metastatic lung tumor can result in false-positive diagnosis. Radiation pneumonitis typically occurs following high doses of external beam radiotherapy (>40 Gy). In the acute phase (1–8 weeks) radiation pneumonitis is characterized by ground-glass opacities and patchy consolidation. This can commonly lead to a misdiagnosis of infection. Chronic CT appearances of fibrosis and traction bronchiectasis in the radiation field allow correct interpretation of increased FDG uptake as radiation pneumonitis as opposed to disease recurrence [33, 34]. Other organs are also sensitive to radiation, and persistent uptake due to inflammatory change can persist for up to 1 year. It is important to elicit a history of radiation from the patient and to correlate the increased uptake with the CT findings to avoid missing a disease recurrence (Fig. 10).

f 10

Fig. 10

18F18-FDG PET-CT performed in a 52-year-old male with newly diagnosed esophageal carcinoma. Increased FDG uptake is identified within the esophagus (black arrow) and an upper abdominal lymph node (yellow arrow), consistent with malignancy (a). 18F18-FDG PET-CT performed 6 weeks post-completion of radiotherapy for esophageal carcinoma. Linear increased uptake is identified along the mediastinum in the radiation port (black arrow). This corresponds to areas of ground-glass change on CT (yellow arrow) consistent with acute radiation change (b)

Infection

Bone marrow suppression places chemotherapy patients at increased risk of infection.

Inflammatory cells such as neutrophils and activated macrophages at the site of infection or inflammation actively accumulate FDG [35].

In the post-therapy setting it has been reported that up to 40% of FDG uptake occurs in non-tumor tissue [12]. Infection is one of the most common causes of false-positive 18F-FDG PET-CT findings post-chemotherapy. Chemotherapy patients are susceptible to a wide variety of infections, including upper respiratory chest infections, pneumonia, colitis and cholecystitis. Reactivation of tuberculous infection can occur in immunocompromised patients post,chemotherapy, and correlation with CT imaging can prevent misdiagnosis in suspected cases.

Atypical infections such as cryptococcosis and pneumocystis can also present as false-positives on FDG imaging (Fig. 11) [36].

f 11

Fig. 11

18F-FDG PET-CT performed in a 57-year-old male 2 weeks following chemotherapy for lung cancer. Increased FDG uptake is noted within the cecum (black arrow). On CT there is some thickening of the cecal wall and stranding of the pericecal fat (yellow arrow) consistent with typhilits

Surgery and radiotherapy

There are inherent challenges in the interpretation of 18F-FDG PET-CT imaging in the postoperative patient. Non-tumor-related uptake of FDG is frequently identified in post-operative wound sites, at colostomy sites or at the site of post-radiation inflammatory change. 18F-FDG PET-CT imaging during the early postoperative/post-radiotherapy period may result in overstaging of patients because of non-neoplastic uptake of FDG [12]. Careful evaluation of the CT component in this setting is vital as CT imaging can provide valuable additional information regarding benign inflammatory conditions commonly encountered in the postoperative setting such as abscesses or wound infection. These conditions are often readily apparent on CT, particularly when oral and/or IV contrast CT is administered.

The reader should also bear in mind that avid uptake of FDG at postoperative/post radiotherapy sites may mask malignant FDG uptake in neighboring structures. In order to minimize non-tumoral uptake of FDG, it is advisable to allow at least 6 weeks post-surgery or completion of radiotherapy prior to performing staging 18F-FDG PET-CT [24].

Talc pleurodesis

Talc pleurodesis is a commonly performed procedure for the treatment of persistent pneumothorax or pleural effusion. The fibrotic/inflammatory reaction results in increased FDG uptake on 18F-FDG PET imaging with corresponding high-density areas of pleural thickening on CT. SUV values of between 2–16.3 have been seen years after the procedure [37].

When increased FDG uptake is indentified in the pleural space in a patient with a known history of pleurodesis, correlation with CT is recommended to detect pleural thickening of increased attenuation that suggests talc rather than tumor.

It is extremely important that a comprehensive history with relevant surgical interventions is available to the reader in order to ensure accurate diagnosis and staging (Fig. 12).

f 12

Fig. 12

18F-FDG PET-CT performed in a 69-year-old male with a history of non-Hodgkin’s lymphoma. The patient had a previous talc pleurodesis for a persistent left pleural effusion. Increased FDG activity is identified within the left pleura (black arrow). CT demonstrates a pleural effusion with high density material along the left pleural surface consistent with talc (yellow arrow)

Flare phenomenon

Bone healing is mediated by osteoblasts, and an early increase in osteoblast activity on successful treatment of metastatic disease has been described [38]. “Bone flare” refers to a disproportionate increase in bone lesion activity on isotope bone scan despite evidence of a therapeutic response to treatment in other lesions and has been well described in breast, prostate and lung tumors. ‘Flare phenomenon’ has also been described on 18F-FDG PET-CT in patients with lung and breast cancer who are receiving chemotherapy [39].

Differentiating between increased FDG uptake due to flare response and true disease progression may not be possible in the early post-treatment studies. While it is recognized that bone flare is a rare phenomenon, an increase in baseline skeletal activity and appearance of new bone lesions despite apparent response or stable disease elsewhere should be interpreted with caution to avoid erroneously suggesting progressive disease.

Osteonecrosis

Osteonecrosis or avascular necrosis has been well described as a complication of combination chemotherapy treatment, especially where it includes intermittent high-dose corticosteroids (e.g., lymphoma patients) [40]. Commonly encountered sites include the hip and less frequently the proximal humerus. Occasionally we can see a discrete entity known as jaw osteonecrosis. Patients receiving IV bisphosphonates for the management of bone metastases are at an increased risk of developing this [41]. The development of osteonecrosis in the mandible is frequently preceded by tooth extraction. Radiographic findings that may be visualized on CT include osteosclerosis, dense woven bone, thickened lamina dura and sub-periosteal bone deposition [42]. FDG uptake can be seen in areas of osteonecrosis (Fig. 13).

f 13

Fig. 13

18F-FDG PET-CT performed in a 46-year-old gentleman with a history of non-Hodgkin’s lymphoma. Increased FDG uptake is identified in the right proximal humerus (black arrow). CT of the area demonstrates a corresponding vague area of sclerosis (yellow arrow). Biopsy of the area yielded osteonecrosis with no evidence of metastatic disease

Insufficiency fractures

Pelvic insufficiency fractures have been described following irradiation for gynecological, colorectal, anal and prostate cancer. They commonly occur within 3–12 months post-radiation treatment, and osteoporosis is often a precipitating factor. FDG uptake in insufficiency fractures ranges from mild and diffuse to intense and heterogeneous. The maximum SUV values are variable with reported values of between 2.4–7.2 [43]. Differentiating insufficiency fractures from bone metastases can prove challenging; however they are often bilateral and occur in characteristic locations within the radiation field—sacral ala, pubic rami and iliac bones. Biopsy of insufficiency fractures can lead to irreparable damage and so careful correlation of 18F-FDG PET imaging with the CT component along with radiation history is vital for correct diagnosis. CT allows evaluation of the bone cortex and adjacent soft tissues, which can confirm the diagnosis of a pathological fracture or a metastatic deposit.

Follow-up of suspected insufficiency fractures demonstrates a reduction in FDG uptake over time (Fig. 14) [43].

f 14

Fig. 14

18F-FDG PET-CT performed in a 46-year-old female, 3 years post-chemo-radiation for cervical carcinoma. Low grade FDG uptake is identified in the left acetabulum and right pubic bone (black arrow). CT demonstrates pathological fractures in these areas consistent with insufficiency fractures (yellow arrow)

Sarcoidosis

Sarcoidosis is a chronic multisystem disorder characterized by non-caseating granulomas and derangement of normal tissue architecture [36]. Sarcoidosis has been reported in association with a variety of malignancies either synchronously or post-chemotherapy. Aggregation of inflammatory cells post-chemotherapy is associated with accumulation of FDG, and the intensity of FDG uptake may correlate with disease activity [36].

When suspected disease recurrence presents with signs and symptoms compatible with sarcoidosis (i.e., mediastinal and bihilar lymphadenopathy), this must be excluded by clinical, radiological and pathological correlation to prevent mistreatment (Fig. 15).

f 15

Fig. 15

18F-FDG PET-CT performed in a 67-year-old male for restaging of laryngeal carcinoma. Increased FDG uptake is noted in the left lower neck and left mediastinum (black arrow). CT demonstrates lymphadenopathy in these areas (yellow arrow), some of which are calcified. Biopsy of the left lower neck node confirmed sarcoidosis

FDG-PET negative tumors

There are a number of malignancies that can be FDG-PET negative. Examples include bronchoalveolar carcinoma and carcinoid tumors in the lung, renal cell carcinomas and hepatomas, mucinous tumors of the GIT and colon, and low grade lymphomas [3, 44–48]. Careful evaluation of the CT component of the study however will prevent a misdiagnosis (Fig. 16).

f 16

Fig. 16

18F-FDG PET-CT performed in a 52-year-old female with breast cancer and chronic hepatitis. On the CT component a hyper-enhancing mass is identified in segment 4 of the liver (yellow arrow). No increased FDG activity is identified in this area on the PET component. Biopsy of the mass confirmed the diagnosis of a hepatocellular carcinoma

Osteoblastic metastases

Bone metastases are diagnosed in up to 85% of patients with advanced breast cancer, leading to significant morbidity and mortality. Sclerotic bone metastases are commonly associated with breast carcinoma [49].18F-FDG PET imaging is superior to nuclear bone scan in detection of osteolytic breast metastases; however it commonly fails to diagnose osteoblastic or sclerotic metastases [50]. Review of bony windows on CT imaging allows identification of sclerotic metastases and ensures accurate staging of metastatic bone disease (Fig. 17).

f 17

Fig. 17

Staging 18F-FDG PET-CT performed in a 45-year-old female with newly diagnosed breast cancer. CT demonstrates multiple small sclerotic foci in the spine and pelvis (yellow arrow), consistent with bony metastases. These are FDG negative on the PET component of the study

Discussion/conclusion

18F-FDG PET imaging has dramatically changed cancer staging, and findings of restaging studies commonly effect changes in treatment protocols. 18F-FDG however is not tumor specific. As interpreting physicians we need to be aware of these false positives and false negatives. In this review we have outlined atypical physiological sites of FDG uptake along with common causes of FDG uptake in benign pathological conditions, many of which are treatment related. With 18F-FDG PET-CT we have the advantage of two imaging modalities. The PET component gives us functional information and the CT, anatomical data. We have discussed the importance of dual-modality imaging and correlation with CT imaging of the above conditions. Furthermore CT imaging provides important diagnostic information in evaluation of tumors that poorly concentrate FDG. In light of the increased reliance of 18F-FDG PET-CT for cancer staging, it is vital that radiologists and nuclear medicine physicians be aware of pitfalls in 18F-FDG PET-CT imaging and correlate PET and CT components to avoid misdiagnosis, overstaging of disease and unnecessary biopsies.

 

Other research papers related to the use of 18F-PET in management of cancer were published on this Scientific Web site:

State of the art in oncologic imaging of Lymphoma.

State of the art in oncologic imaging of Colorectal cancers.

State of the art in oncologic imaging of Prostate.

State of the art in oncologic imaging of lungs.

State of the art in oncologic imaging of breast.

Whole-body imaging as cancer screening tool; answering an unmet clinical need?

 

References

1.

Pauwels EK, Ribeiro MJ, Stoot JH et al (1998) FDG accumulation and tumor biology. Nucl Med Biol 25:317–322PubMedCrossRef

2.

Wahl RL (1996) Targeting glucose transporters for tumor imaging: “sweet” idea, “sour” result. J Nucl Med 37(6):1038–1041PubMed

3.

Kim BT, Kim Y, Lee KS, Yoon SB, Cheon EM, Kwon OJ, Rhee CH, Han J, Shin MH (1998) Localized form of bronchioalveolar carcinoma: FDG PET findings. AJR 170(4):935–939PubMed

4.

Hoh CK, Hawkins RA, Glaspy JA, Dahlbom M, Tse NY, Hoffman EJ, Schiepers C, Choi Y, Rege S, Nitzsche E (1993) Cancer detection with whole-body PET using 2-[18F]fluoro-2-deoxy-D-glucose. J Comput Assist Tomogr 17(4):582–589PubMedCrossRef

5.

Fenchel S, Grab D, Nuessle K, Kotzerke J, Rieber A, Kreienberg R, Brambs HJ, Reske SN (2002) Asymptomatic adnexal masses: correlation of FDG PET and histopathologic findings. Radiology 223(3):780–788PubMedCrossRef

6.

Shreve PD, Anzai Y, Wahl RL (1999) Pitfalls in oncologic diagnosis with FDG PET imaging: physiologic and benign variants. Radiographics 19(1):61–77, quiz 150–151PubMed

7.

Abouzied MM, Crawford ES, Nabi HA (2005) 18 F-FDG imaging: pitfalls and artifacts. J Nucl Med Technol 33(3):145–155PubMed

8.

Boellaard R, O’Doherty MJ, Weber WA, Mottaghy FM, Lonsdale MN, Stroobants SG, Oyen WJ, Kotzerke J, Hoekstra OS, Pruim J, Marsden PK, Tatsch K, Hoekstra CJ, Visser EP, Arends B, Verzijlbergen FJ, Zijlstra JM, Comans EF, Lammertsma AA, Paans AM, Willemsen AT, Beyer T, Bockisch A, Schaefer-Prokop C, Delbeke D, Baum RP, Chiti A, Krause BJ (2010) FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging 37(1):181–200PubMedCrossRef

9.

Sureshbabu W, Mawlawi O (2005) PET/CT imaging artifacts. J Nucl Med Technol 33(3):156–161, quiz 163–164PubMed

10.

Lin E, Alavi A (2009) PET and PET/CT: A Clinical Guide: 2nd Edn. Thieme New York p 145

11.

Hany TF, Heuberger J, von Schulthess GK (2003) Iatrogenic FDG foci in the lungs: a pitfall of PET image interpretation. Eur Radiol 13(9):2122–2127, Epub 2002 Oct 17PubMedCrossRef

12.

Kazama T, Faria SC, Varavithya V, Phongkitkarun S, Ito H, Macapinlac HA (2005) FDG PET in the evaluation of treatment for lymphoma: clinical usefulness and pitfalls. Radiographics 25(1):191–207PubMedCrossRef

13.

Swanson DP, Chilton HM, Thrall JH (1990) Pharmaceuticals in medical imaging. Macmillan, New York

14.

Prabhakar HB, Sahani DV, Fischman AJ, Mueller PR, Blake MA (2007) Bowel hot spots at PET-CT. Radiographics 27(1):145–159PubMedCrossRef

15.

Yeung HW, Grewal RK, Gonen M, Schöder H, Larson SM (2003) Patterns of (18)F-FDG uptake in adipose tissue and muscle: a potential source of false-positives for PET. J Nucl Med 44(11):1789–1796PubMed

16.

Truong MT, Erasmus JJ, Munden RF, Marom EM, Sabloff BS, Gladish GW, Podoloff DA, Macapinlac HA (2004) Focal FDG uptake in mediastinal brown fat mimicking malignancy: a potential pitfall resolved on PET/CT. Am J Roentgenol 183(4):1127–1132

17.

Söderlund V, Larsson SA, Jacobsson H (2007) Reduction of FDG uptake in brown adipose tissue in clinical patients by a single dose of propranolol. Eur J Nucl Med Mol Imaging 34(7):1018–1022PubMedCrossRef

18.

Sumi M, Ohki M, Nakamura T (2001) Comparison of sonography and CT for differentiating benign from malignant cervical lymph nodes in patients with squamous cell carcinoma of the head and neck. AJR 176(4):1019–1024PubMed

19.

Lerman H, Metser U, Grisaru D, Fishman A, Lievshitz G, Even-Sapir E (2004) Normal and abnormal 18 F-FDG endometrial and ovarian uptake in pre- and postmenopausal patients: assessment by PET/CT. J Nucl Med 45(2):266–271PubMed

20.

Lu Y, Xie D, Huang W, Gong H, Yu J (2010) 18 F-FDG PET/CT in the evaluation of adrenal masses in lung cancer patients. Neoplasma 57(2):129–134PubMedCrossRef

21.

Boland GW, Blake MA, Holalkere NS, Hahn PF (2009) PET/CT for the characterization of adrenal masses in patients with cancer: qualitative versus quantitative accuracy in 150 consecutive patients. AJR Am J Roentgenol 192(4):956–962PubMedCrossRef

22.

Chen W, Parsons M, Torigian DA, Zhuang H, Alavi A (2009) Evaluation of thyroid FDG uptake incidentally identified on FDG-PET/CT imaging. Nucl Med Commun 30(3):240–244PubMedCrossRef

23.

Choi JY, Lee KS, Kim HJ, Shim YM, Kwon OJ, Park K, Baek CH, Chung JH, Lee KH, Kim BT (2006) Focal thyroid lesions incidentally identified by integrated 18 F-FDG PET/CT: clinical significance and improved characterization. J Nucl Med 47(4):609–615PubMed

24.

Blake MA, Slattery J, Sahani DV, Kalra MK (2005) Practical issues in abdominal PET/CT. Appl Radiol 34(11):8–18

25.

Kei PL, Vikram R, Yeung HW, Stroehlein JR, Macapinlac HA (2010) Incidental finding of focal FDG uptake in the bowel during PET/CT: CT features and correlation with histopathologic results. AJR Am J Roentgenol 194(5):W401–W406PubMedCrossRef

26.

Pandit-Taskar N, Schöder H, Gonen M, Larson SM, Yeung HW (2004) Clinical significance of unexplained abnormal focal FDG uptake in the abdomen during whole-body PET. AJR Am J Roentgenol 183(4):1143–1147PubMed

27.

Kamel EM, Thumshirn M, Truninger K, Schiesser M, Fried M, Padberg B, Schneiter D, Stoeckli SJ, von Schulthess GK, Stumpe KD (2004) Significance of incidental 18 F-FDG accumulations in the gastrointestinal tract in PET/CT: correlation with endoscopic and histopathologic results. J Nucl Med 45(11):1804–1810PubMed

28.

Smith CS, Schöder H, Yeung HW (2007) Thymic extension in the superior mediastinum in patients with thymic hyperplasia: potential cause of false-positive findings on 18 F-FDG PET/CT. AJR Am J Roentgenol 188(6):1716–1721PubMedCrossRef

29.

Ferdinand B, Gupta P, Kramer EL (2004) Spectrum of thymic uptake at 18 F-FDG PET. Radiographics 24(6):1611–1616PubMedCrossRef

30.

Baron RL, Lee JK, Sagel SS, Levitt RG (1982) Computed tomography of the abnormal thymus. Radiology 142(1):127–134PubMed

31.

Hollinger EF, Alibazoglu H, Ali A, Green A, Lamonica G (1998) Hematopoietic cytokine-mediated FDG uptake simulates the appearance of diffuse metastatic disease on whole-body PET imaging. Clin Nucl Med 23(2):93–98PubMedCrossRef

32.

Kazama T, Swanston N, Podoloff DA, Macapinlac HA (2005) Effect of colony-stimulating factor and conventional- or high-dose chemotherapy on FDG uptake in bone marrow. Eur J Nucl Med Mol Imaging 32(12):1406–1411PubMedCrossRef

33.

Claude L, Pérol D, Ginestet C, Falchero L, Arpin D, Vincent M, Martel I, Hominal S, Cordier JF, Carrie C (2004) A prospective study on radiation pneumonitis following conformal radiation therapy in non-small-cell lung cancer: clinical and dosimetric factors analysis. Radiother Oncol 71(2):175–181PubMedCrossRef

34.

Frank A, Lefkowitz D, Jaeger S, Gobar L, Sunderland J, Gupta N, Scott W, Mailliard J, Lynch H, Bishop J et al (1995) Decision logic for retreatment of asymptomatic lung cancer recurrence based on positron emission tomography findings. Int J Radiat Oncol Biol Phys 32(5):1495–1512PubMedCrossRef

35.

Love C, Tomas MB, Tronco GG, Palestro CJ (2005) FDG PET of infection and inflammation. Radiographics 25(5):1357–1368PubMedCrossRef

36.

Chang JM, Lee HJ, Goo JM, Lee HY, Lee JJ, Chung JK, Im JG (2006) False positive and false negative FDG-PET scans in various thoracic diseases. Korean J Radiol 7(1):57–69PubMedCrossRef

37.

Kwek BH, Aquino SL, Fischman AJ (2004) Fluorodeoxyglucose positron emission tomography and CT after talc pleurodesis. Chest 125(6):2356–2360PubMedCrossRef

38.

Coleman RE, Mashiter G, Whitaker KB, Moss DW, Rubens RD, Fogelman I (1988) Bone scan flare predicts successful systemic therapy for bone metastases. J Nucl Med 29(8):1354–1359PubMed

39.

Krupitskaya Y, Eslamy HK, Nguyen DD, Kumar A, Wakelee HA (2009) Osteoblastic Bone Flare on F18-FDG PET in Non-small Cell Lung Cancer (NSCLC) Patients Receiving Bevacizumab in addition to standard Chemotherapy. J Thorac Oncol 4(3):429–431PubMedCrossRef

40.

Talamo G, Angtuaco E, Walker RC, Dong L, Miceli MH, Zangari M, Tricot G, Barlogie B, Anaissie E (2005) Avascular necrosis of femoral and/or humeral heads in multiple myeloma: results of a prospective study of patients treated with dexamethasone-based regimens and high-dose chemotherapy. J Clin Oncol 23(22):5217–5223PubMedCrossRef

41.

Catalano L, Del Vecchio S, Petruzziello F, Fonti R, Salvatore B, Martorelli C, Califano C, Caparrotti G, Segreto S, Pace L, Rotoli B (2007) Sestamibi and FDG-PET scans to support diagnosis of jaw osteonecrosis. Ann Hematol 86(6):415–423PubMedCrossRef

42.

Arce K, Assael LA, Weissman JL, Markiewicz MR (2009) MR imaging findings in bisphosphonate-related osteonecrosis of jaws. J Oral Maxillofac Surg 67(5 Suppl):75–84PubMedCrossRef

43.

Oh D, Huh SJ, Lee SJ, Kwon JW (2009) Variation in FDG uptake on PET in patients with radiation-induced pelvic insufficiency fractures: a review of 10 cases. Ann Nucl Med 23(6):511–516PubMedCrossRef

44.

Erasmus JJ, McAdams HP, Patz EF Jr, Coleman RE, Ahuja V, Goodman PC (1998) Evaluation of primary pulmonary carcinoid tumors using FDG PET. AJR Am J Roentgenol 170(5):1369–1373PubMed

45.

Kang DE, White RL Jr, Zuger JH, Sasser HC, Teigland CM (2004) Clinical use of fluorodeoxyglucose F 18 positron emission tomography for detection of renal cell carcinoma. J Urol 171(5):1806–1809PubMedCrossRef

46.

Khan MA, Combs CS, Brunt EM, Lowe VJ, Wolverson MK, Solomon H, Collins BT, Di Bisceglie AM (2000) Positron emission tomography scanning in the evaluation of hepatocellular carcinoma. J Hepatol 32(5):792–797PubMedCrossRef

47.

Berger KL, Nicholson SA, Dehdashti F, Siegel BA (2000) FDG PET evaluation of mucinous neoplasms: correlation of FDG uptake with histopathologic features. AJR Am J Roentgenol 174(4):1005–1008PubMed

48.

Jerusalem G, Beguin Y, Najjar F, Hustinx R, Fassotte MF, Rigo P, Fillet G (2001) Positron emission tomography (PET) with 18 F-fluorodeoxyglucose (18 F-FDG) for the staging of low-grade non-Hodgkin’s lymphoma (NHL). Ann Oncol 12(6):825–830PubMedCrossRef

49.

Tateishi U, Gamez C, Dawood S, Yeung HW, Cristofanilli M, Macapinlac HA (2008) Bone metastases in patients with metastatic breast cancer: morphologic and metabolic monitoring of response to systemic therapy with integrated PET/CT. Radiology 247(1):189–196PubMedCrossRef

50.

Huyge V, Garcia C, Vanderstappen A, Alexiou J, Gil T, Flamen P (2009) Progressive osteoblastic bone metastases in breast cancer negative on FDG-PET. Clin Nucl Med 34(7):417–420PubMedCrossRef

Read Full Post »

« Newer Posts - Older Posts »