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Posts Tagged ‘personalised medicine’

AACR and PhillyNews Media Sponsors Town Hall on Precision Medicine – see @pharma_BI and #cbi16 For Live Notes

Posted in Anticancer Resistance, Cancer - General, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Clinical & Translational, Conference Coverage with Social Media, tagged AACR, Cancer - General, cancer immunotherapeutics, national cancer institute, NCI, personalised cancer therapy, personalised medicine, precision medicine, University of Pennsylvania on January 21, 2016| Leave a Comment »

AACR and Philly New Media Present a Town Hall Discussion on Precision Medicine

Reporter: Stephen J. Williams, PhD

Cancer Precision Medicine: Big Ideas in Research, Treatment, and Prevention

A Town Hall Forum will discuss the latest findings with regard to precision medicine, its impact currently in cancer treatment, and future directions, discussed by some of the preeminent cancer researchers and oncologists in the country. This unprecedented event is being hosted by the American Association for Cancer Research (AACR) and Philadelphia Media Network – publisher of The Philadelphia Inquirer, Daily News, and Philly.com.

Given the following speakers, this event will have a large focus on use of cancer immunotherapy as well as new targets in the precision medicine arena.

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Register today: Philly.com/CancerEvent – Use the promo code “AACR” for discounted $45 tickets.

When: Thursday, January 21, 2016 • Program: 2 pm • Networking reception: 5:30 pm.

Where:  The College of Physicians of Philadelphia • 19 South 22nd Street, Philadelphia, Pa.

The event will be held in Philadelphia at the College of Physicians of Philadelphia, home of the famous Mutter Museum.

Please follow the meeting coverage on @pharma_BI and using the following @ handle and # hastags of Twitter:

@AACR

@pharma_BI

@PhillyInquirer

#cbi16

#precisionmedicine

#endcancer

 

From Penn Medicine News Blog: Archives (please click on link below)

January 06, 2016 // By Steve Graff // Comments

What’s the Big Idea? Cancer Leaders to Talk Precision Medicine

Penn’s Center for Personalized Diagnostics (CPD), which recently named Kojo S.J. Elenitoba-Johnson, MD, as its founding director, is diving deeper into cancer patients’ tumors with next generation DNA sequencing.

The genetic tests help refine diagnoses with greater precision than standard imaging tests and blood work by spotting known mutations that can inform the treatment plan. Since it launched in February 2013, the CPD has performed more than 4,000 advanced diagnostics, representing a wide range of cancers.  It’s also producing actionable findings: Of those tests, 75 percent found disease-associated mutations, revealing possible new treatment pathways.

This new CPD video helps breakdown how the process works, but a patient story can really help connect the dots. We’ve written about several people who benefited from the CPD, including one acute myeloid leukemia patient with an FLT3 mutation that made her a candidate for a targeted therapy, and another whose cholangiocarcinoma was successfully treated with a BRAF-targeted therapy after the mutation—typically associated with melanoma—was spotted.

ACC’s role as a national leader in personalized cancer care was also reinforced with the opening of the Center for Rare Cancers and Personalized Therapy in 2015.

Directed by Marcia Brose, MD, PhD, this virtual center enrolls patients into clinical trials based on genetic markers rather than tumor origin.  Patients with the same mutation, BRAF for instance, but different cancers, are part of the same clinical study investigating a targeted therapy.  A story, set to air on TV news affiliates across the country in the upcoming weeks, will feature a patient with a rare salivary tumor who ran out of treatment options, until a HRAS mutation identified through the CPD put him back on track, after switching to the drug tipifarnib. The patient responded well, and a recent scan revealed that his disease has stabilized.

“Philadelphia is a hotbed for healthcare innovation and groundbreaking scientific research—which becomes even more apparent as the ACC continues to move the needle in the precision medicine world,”Abramson Cancer Center (ACC) director Chi Van Dang, MD, PhD, said.  “Quickly evolving diagnostics and genetic tests, cancer vaccines, and powerful personalized therapies that use the body’s own immune system to fight off cancer: These are just a few of the medical advances being utilized today that are giving patients the greatest chance.”

For Media Inquiries see the following AACR contact information:

Julia Gunther
Assistant Director, Media and Public Relations
215-446-6896
Cell: 267-250-5441
Fax: 215-861-5937
julia.gunther@aacr.org
Gunther promotes the AACR’s meetings, journals, and initiatives to the media and the public.

Lauren Walens
Senior Manager, Media and Public Relations
215-446-7163
Fax: 267-765-1050
lauren.walens@aacr.org
Walens promotes the AACR’s meetings, journals, and initiatives to the media and the public. She also manages the AACR’s blog, Cancer Research Catalyst.

Lauren Riley
Senior Coordinator, Media and Public Relations
215-446-7155
Fax: 215-446-7291
lauren.riley@aacr.org
Riley is responsible for media relations promotion and support, conference newsroom logistics, writing and proofreading, website and news release copy, as well as office support for the Communications and Public Relations Department staff.

 

 

 

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Cancer Biology and Genomics for Disease Diagnosis (Vol. I) Now Available for Amazon Kindle

Posted in Academic Publishing, Biochemical pathways, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cancer Prevention: Research & Programs, Cancer Screening, Cancer Surgery of the Heart, Cell Biology, Clinical & Translational, Clinical Diagnostics, Clinical Genomics, Curation, Curation methodology, De novo synthesis, Discovery process, Disease Biology, Drug Delivery Platform Technology, Enzymes and isoenzymes, Evolutionary cognition, Experimental validation, Explanatory, FDA, FDA Regulatory Affairs, Health Economics and Outcomes Research, HealthCare IT, Historical relevance, International Global Work in Pharmaceutical, Interventional Oncology: Radiofrequency Ablation, Transarterial Chemoembolization, Microwave Ablation and Irreversible Electroporation (IRE), Interviews with Scientific Leaders, Metabolism, Metabolomics, Molecular Genetics & Pharmaceutical, Open Access Journals, Personal Health Applications: Tech Innovations serves HealhCare, Pharmaceutical R&D Informatics, Pharmaceutical R&D Investment, Proteomics, REAL TIME Conference Coverage Twitter's Hashtags and Handles per Presentation/session, Scientific & Biotech Conferences: Press Coverage, Signaling & Cell Circuits, Small Molecules in Development of Therapeutic Drugs, Technology Advance Assessment of, Theoretic convergence, tagged Amazon Kindle, anti-cancer drugs, Aviva Lev-Ari, breast cancer, breast cancer genes, Cancer - General, cancer patient management, cancer risk, Cell Biology, Chemotherapy, Clinical trial, Conditions and Diseases, Content Curation, Curation, Curation methodology, DNA, DNA Sequencing, Food and Drug Administration, genetics, genome, genomics, Harvard Medical School, health outcomes research, Larry H. Bernstein, Medical imaging, Metabolomics, National Institutes of Health, personalised medicine, Personalized medicine, Prostate cancer, research, RNA, science, Stem cell on August 14, 2015| Leave a Comment »

Cancer Biology and Genomics for Disease Diagnosis (Vol. I) Now Available for Amazon Kindle

Reporter: Stephen J Williams, PhD

Article ID #179: Cancer Biology and Genomics for Disease Diagnosis (Vol. I) Now Available for Amazon Kindle. Published on 8/14/2015

WordCloud Image Produced by Adam Tubman

Leaders in Pharmaceutical Business Intelligence would like to announce the First volume of their BioMedical E-Book Series C: e-Books on Cancer & Oncology

Volume One: Cancer Biology and Genomics for Disease Diagnosis

which is now available on Amazon Kindle at                          http://www.amazon.com/dp/B013RVYR2K.

This e-Book is a comprehensive review of recent Original Research on Cancer & Genomics including related opportunities for Targeted Therapy written by Experts, Authors, Writers. This ebook highlights some of the recent trends and discoveries in cancer research and cancer treatment, with particular attention how new technological and informatics advancements have ushered in paradigm shifts in how we think about, diagnose, and treat cancer. The results of Original Research are gaining value added for the e-Reader by the Methodology of Curation. The e-Book’s articles have been published on the Open Access Online Scientific Journal, since April 2012.  All new articles on this subject, will continue to be incorporated, as published with periodical updates.

We invite e-Readers to write an Article Reviews on Amazon for this e-Book on Amazon. All forthcoming BioMed e-Book Titles can be viewed at:

http://pharmaceuticalintelligence.com/biomed-e-books/

Leaders in Pharmaceutical Business Intelligence, launched in April 2012 an Open Access Online Scientific Journal is a scientific, medical and business multi expert authoring environment in several domains of  life sciences, pharmaceutical, healthcare & medicine industries. The venture operates as an online scientific intellectual exchange at their website http://pharmaceuticalintelligence.com and for curation and reporting on frontiers in biomedical, biological sciences, healthcare economics, pharmacology, pharmaceuticals & medicine. In addition the venture publishes a Medical E-book Series available on Amazon’s Kindle platform.

Analyzing and sharing the vast and rapidly expanding volume of scientific knowledge has never been so crucial to innovation in the medical field. WE are addressing need of overcoming this scientific information overload by:

• delivering curation and summary interpretations of latest findings and innovations
• on an open-access, Web 2.0 platform with future goals of providing primarily concept-driven search in the near future
• providing a social platform for scientists and clinicians to enter into discussion using social media
• compiling recent discoveries and issues in yearly-updated Medical E-book Series on Amazon’s mobile Kindle platform

This curation offers better organization and visibility to the critical information useful for the next innovations in academic, clinical, and industrial research by providing these hybrid networks.

Table of Contents for Cancer Biology and Genomics for Disease Diagnosis

Preface

Introduction  The evolution of cancer therapy and cancer research: How we got here?

Part I. Historical Perspective of Cancer Demographics, Etiology, and Progress in Research

Chapter 1:  The Occurrence of Cancer in World Populations

Chapter 2.  Rapid Scientific Advances Changes Our View on How Cancer Forms

Chapter 3:  A Genetic Basis and Genetic Complexity of Cancer Emerge

Chapter 4: How Epigenetic and Metabolic Factors Affect Tumor Growth

Chapter 5: Advances in Breast and Gastrointestinal Cancer Research Supports Hope for Cure

Part II. Advent of Translational Medicine, “omics”, and Personalized Medicine Ushers in New Paradigms in Cancer Treatment and Advances in Drug Development

Chapter 6:  Treatment Strategies

Chapter 7:  Personalized Medicine and Targeted Therapy

Part III.Translational Medicine, Genomics, and New Technologies Converge to Improve Early Detection

Chapter 8:  Diagnosis                                     

Chapter 9:  Detection

Chapter 10:  Biomarkers

Chapter 11:  Imaging In Cancer

Chapter 12: Nanotechnology Imparts New Advances in Cancer Treatment, Detection, &  Imaging                                 

Epilogue by Larry H. Bernstein, MD, FACP: Envisioning New Insights in Cancer Translational Biology

 

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The unfortunate ending of the Tower of Babel construction project and its effect on modern imaging-based cancer patients’ management

Posted in Imaging-based Cancer Patient Management, tagged biopsies, brain lesion, breast biopsies, breast biopsy, breast cancer, breast cancer mortality, breast cancer screening, breast screening, CANCER BIOLOGY & Innovations in Cancer Therapy, cancer patient management, Clinical trial, cost efficient cancer diagnosis, cost efficient cancer treatment, cost efficient solution, CT scans, directed biopsies, DW MRI, efficient business, european congress of radiology, evidence based medicine, free hand biopsies, guided biopsies, hands on appoach, health, healthcare, healthcare business, imaging guided biopsies, imaging in cancer, Imaging-based Cancer Patient Management, Imaging-based Cancer Patient Management | Tagged biopsies, innovation in health, innovation in healthcare, Magnetic resonance imaging, magnetic resonance imaging mri, magnetic tracking, mammography, Medical Devices R&D Investment, medicine, MRI, MRI imaging, multi-functional MRI, mutation, open mri systems, personalised medicine, prostat cancer screening, Prostate, Prostate biopsy, Prostate cancer, prostate guided biopsies, prostate hisoscanning, Prostate-specific antigen, radiographically dense breasts, research, science, tagged biopsy needles, tagged cancer, tracking, Transrectal ultrasonography, Triple-negative breast cancer, TRUS, ultrasound guided breast biopsy breast biopsy, ultrasound imaging, ultrasound imaging Bio Instrumentation in Experimental Life Sciences Research on October 22, 2012| 4 Comments »

The unfortunate ending of the Tower of Babel construction project and its effect on modern imaging-based cancer patients’ management

Curator: Dror Nir, PhD

 

The story of the city of Babel is recorded in the book of Genesis 11 1-9. At that time, everyone on earth spoke the same language.

Picture: Pieter Bruegel the Elder: The Tower of Babel_(Vienna)

It is probably safe to assume that medical practitioners at that time were reporting the status of their patients in a standard manner. Although not mentioned, one might imagine that, at that time, ultrasound or MRI scans were also reported in a standard and transferrable manner. The people of Babel noticed the potential in uniform communication and tried to build a tower so high that it would  reach the gods. Unfortunately, God did not like that, so he went down (in person) and confounded people’s speech, so that they could not understand each another. Genesis 11:7–8.

This must be the explanation for our inability to come to a consensus on reporting of patients’ imaging-outcome. Progress in development of efficient imaging protocols and in clinical management of patients is withheld due to high variability and subjectivity of clinicians’ approach to this issue.

Clearly, a justification could be found for not reaching a consensus on imaging protocols: since the way imaging is performed affects the outcome, (i.e. the image and its interpretation) it takes a long process of trial-and-error to come up with the best protocol.  But, one might wonder, wouldn’t the search for the ultimate protocol converge faster if all practitioners around the world, who are conducting hundreds of clinical studies related to imaging-based management of cancer patients, report their results in a standardized and comparable manner?

Is there a reason for not reaching a consensus on imaging reporting? And I’m not referring only to intra-modality consensus, e.g. standardizing all MRI reports. I’m referring also to inter-modality consensus to enable comparison and matching of reports generated from scans of the same organ by different modalities, e.g. MRI, CT and ultrasound.

As developer of new imaging-based technologies, my personal contribution to promoting standardized and objective reporting was the implementation of preset reporting as part of the prostate-HistoScanning product design. For use-cases, as demonstrated below, in which prostate cancer patients were also scanned by MRI a dedicated reporting scheme enabled matching of the HistoScanning scan results with the prostate’s MRI results.

The MRI reporting scheme used as a reference is one of the schemes offered in a report by Miss Louise Dickinson on the following European consensus meeting : Magnetic Resonance Imaging for the Detection, Localisation, and Characterisation of Prostate Cancer: Recommendations from a European Consensus Meeting, Louise Dickinson ^a,b,c,*, Hashim U. Ahmed ^a,b, Clare Allen ^d, Jelle O. Barentsz ^e, Brendan Carey^f, Jurgen J. Futterer ^e, Stijn W. Heijmink ^e, Peter J. Hoskin ^g, Alex Kirkham ^d, Anwar R. Padhani h, Raj Persad ⁱ, Philippe Puech ^j, Shonit Punwani ^d, Aslam S. Sohaib ^k, Bertrand Tombal^l,Arnauld Villers ^m, Jan van der Meulen ^c,n, Mark Emberton a,b,c,

http://www.europeanurology.com/article/S0302-2838(10)01187-5

Image of MRI reporting scheme taken from the report by Miss Louise Dickinson

The corresponding HistoScanning report is following the same prostate segmentation and the same analysis plans:

Preset reporting enabling matching of HistoScanning and MRI reporting of the same case.

It is my wish that already in the near-future, the main radiology societies (RSNA, ESR, etc..) will join together to build the clinical Imaging’s “Tower of Babel” to effectively address the issue of standardizing reporting of imaging procedures. This time it will not be destroyed…:-)

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Introducing smart-imaging into radiologists’ daily practice.

Posted in Imaging-based Cancer Patient Management, tagged biopsies, brain lesion, breast biopsies, breast biopsy, breast cancer, breast cancer mortality, breast cancer screening, breast screening, Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, cancer patient management, Clinical trial, cost efficient cancer diagnosis, cost efficient cancer treatment, cost efficient solution, CT scans, directed biopsies, DW MRI, efficient business, european congress of radiology, evidence based medicine, free hand biopsies, guided biopsies, hands on appoach, health, healthcare, healthcare business, imaging guided biopsies, imaging in cancer, Imaging-based Cancer Patient Management, innovation in health, innovation in healthcare, Magnetic resonance imaging, magnetic resonance imaging mri, magnetic tracking, mammography, Medical Devices R&D Investment, medicine, MRI, MRI imaging, multi-functional MRI, mutation, open mri systems, personalised medicine, prostat cancer screening, Prostate, Prostate biopsy, Prostate cancer, prostate guided biopsies, prostate hisoscanning, Prostate-specific antigen, radiographically dense breasts, science, tagged biopsy needles, tracking, Transrectal ultrasonography, Triple-negative breast cancer, TRUS, ultrasound guided breast biopsy breast biopsy, ultrasound imaging Bio Instrumentation in Experimental Life Sciences Research on October 9, 2012| 6 Comments »

Introducing smart-imaging into radiologists’ daily practice.

Author and Curator: Dror Nir, PhD

• 

Radiology congresses are all about imaging in medicine. Interestingly, radiology originates from radiation. It was the discovery of X-ray radiation at the beginning of the 20^th century that opened the road to “seeing” the inside of the human body without harming it (at that time that meant cutting into the body).

Radiology meetings are about sharing experience and knowhow on imaging-based management patients. The main topic is always image-interpretation: the bottom line of clinical radiology! This year’s European Congress of Radiology (ECR) dedicated few of its sessions to recent developments in image-interpretation tools. I chose to discuss the one that I consider contributing the most to the future of cancer patients’ management.

In the refresher course dedicated to computer application the discussion was aimed at understanding the question “How do image processing and CAD impact radiological daily practice?” Experts’ reviews gave the audience some background information on the following subjects:

1. A.     The link between image reconstruction and image analysis.
2. B.     Semantic web technologies for sharing and reusing imaging-related information
3. C.     Image processing and CAD: workflow in clinical practice.

I find item A to be a fundamental education item. Not once did I hear a radiologist saying: “I know this is the lesion because it’s different on the image”.  Being aware of the computational concepts behind image rendering, even if it is at a very high level and lacking deep understanding of the computational processes,  will contribute to more balanced interpretations.

Item B is addressing the dream of investigators worldwide. Imagine that we could perform a web search and find educating, curated materials linking visuals and related clinical information, including standardized pathology reporting. We would only need to remember that search engines used certain search methods and agree, worldwide, on the method and language to be used when describing things. Having such tools is a pre-requisite to successful pharmaceutical and bio-tech development.

I find item C strongly linked to A, as all methods for better image interpretation must fit into a workflow. This is a design goal that is not trivial to achieve. To understand what I mean by that, try to think about how you could integrate the following examples in your daily workflow: i.e. what kind of expertise is needed for execution, how much time it will take, do you have the infrastructure?

In the rest of this post, I would like to highlight, through examples that were discussed during ECR 2012, the aspect of improving cancer patients’ clinical assessment by using information fusion to support better image interpretation.

• Adding up quantitative information from MR spectroscopy (quantifies biochemical property of a target lesion) and Dynamic Contrast Enhanced MR imaging (highlights lesion vasculature).

Image provided by: Dr. Pascal Baltzer, director of mammography at the centre for radiology at Friedrich Schiller University in Jena, Germany

 

• Registration of images generated by different imaging modalities (Multi-modal imaging registration).

The following examples: Fig 2 demonstrates registration of a mammography image of a breast lesion to an MRI image of this lesion. Fig3 demonstrates registration of an ultrasound image of a breast lesion scanned by an Automatic Breast Ultrasound (ABUS) system and an MRI image of the same lesion.

Images provided by members of the HAMAM project (an EU, FP7 funded research project: Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modelling): http://www.hamam-project.org

 

 Multi-modality image registration is usually based on the alignment of image-features apparent in the scanned regions. For ABUS-MRI matching these were: the location of the nipple and the breast thickness; the posterior of the nipple in both modalities; the medial-lateral distance of the nipple to the breast edge on ultrasound; and an approximation of the rib­cage using a cylinder on the MRI. A mean accuracy of 14mm was achieved.

Also from the HAMAM project, registration of ABUS image to a mammography image:

registration of ABUS image to a mammography image, Image provided by members of the HAMAM project (an EU, FP7 funded research project: Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modelling): http://www.hamam-project.org

• Automatic segmentation of suspicious regions of interest seen in breast MRI images

Segmentation of suspicious the lesions on the image is the preliminary step in tumor evaluation; e.g. finding its size and location. Since lesions have different signal/image character­istics to the rest of the breast tissue, it gives hope for the development of computerized segmentation techniques. If successful, such techniques bear the promise of enhancing standardization in the reporting of lesions size and location: Very important information for the success of the treatment step.

Roberta Fusco of the National Cancer Institute of Naples Pascal Foundation, Naples/IT suggested the following automatic method for suspi­cious ROI selection within the breast using dynamic-derived information from DCE-MRI data.

 

Automatic segmentation of suspicious ROI in breast MRI images, image provided by Roberta Fusco of the National Cancer Institute of Naples Pascal Foundation, Naples/IT

 

 Her algorithm includes three steps (Figure 2): (i) breast mask extraction by means of automatic intensity threshold estimation (Otsu Thresh-holding) on the par­ametric map obtained through the sum of intensity differences (SOD) calculated pixel by pixel; (ii) hole-filling and leakage repair by means of morphological operators: closing is required to fill the holes on the boundaries of breast mask, filling is required to fill the holes within the breasts, erosion is required to reduce the dilation obtained by the closing operation; (iii) suspicious ROIs extraction: a pixel is assigned to a suspicious ROI if it satisfies two conditions: the maximum of its normalized time-intensity curve should be greater than 0.3 and the maximum signal intensity should be reached before the end of the scan time. The first condition assures that the pixels within the ROI have a significant contrast agent uptake (thus excluding type I and type II curves) and the second condition is required for the time-intensity pattern to be of type IV or V (thus excluding type III curves).

Written by: Dror Nir, PhD

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