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Archive for the ‘Precision Cancer Medicine’ Category

Real Time Coverage Morning Session on Precision Oncology: Advancing Precision Medicine Annual Conference, Philadelphia PA November 1 2024

Reporter: Stephen J. Williams, Ph.D.

Notes from Precision Medicine for Rare Diseases 9:00AM – 10:50

Precision Medicine and markers Cure models vs disease models  Dr Ekker from UT MD Anderson

 

  • UT MD Anderson zebrafish disease model program now focusing more on figuring the mechanisms by which a disease model is reverted to normal upon CRISPR screens
  • Traditional drug development process long and expensive
  • 2nd in class only takes 4 years while 3rd in class drugs take only 1.5 years
  • Health-in-a-fish: using a CRE system to go from disease to normal
  • The theory is making a CRE or CURE avatar; taking a diseased zebrafish and reverse engineering the disease genome
  • He used transposon based CRE mutational mutants with protein trap and 3’ exon trap (transposon based mutagenesis)
  • He reverted the diseased gene by CRE
  • He feels that can scale up to using organoids to develop more cure based models

 

FDA Christine Nguyen MD regulatory perspective of framework of drug approval for rare diseases

  • 1 in 10 Amercians have rare diseases; 70% genetic and half are children
  • Due to Orphan Drug Act in 2023 half of novel drugs approved for rare diseases
  • CDER and FDA 550 unique drugs for over 1000 rare diseases
  • Clinical and surrogate validated endpoints are important for traditional approvals
  • For accelerated approval need predictive surrogate endpoint of clinical benefit
  • For accelerated approval needs completion of a confirmatory trials so FDA has new authority under FDORA; FDA can dictate trial milestones
  • Candidate surrogate endpoints: known to predict (validated) for traditional approval but reasonably likely to predict for accelerated approval
  • Does surrogate endpoint associated with a causal pathway?  Also important to understand the magnitude of benefit so surrogate should be quantitative not just qualitative
  • RDEA is a series of 3 public workshops at FY2027 to promote innovation and novel endpoints and guidance

 

Frank Sasinowski FDA regulatory flexibility beyond One Positive Adequate and Well Controlled Trial

  •  As we move to rare diseases we may only have one well controlled study so FDA feels we need new regulatory frameworks and guidelines especially for rare disease clinical trails especially with precision medicine
  • Accelerated approval does not mean your evidence is any less stringent that traditional approval (only difference is endpoint but quality of evidence the same)

 

  • Confirmatory evidence is a primary concern
  • In 2021 FDA coordinated with the two divisions CBER and CDER
  • Sometimes a primary endpoint shows positive benefit but secondary endpoints may not; FDA now feels that results from one well designed AWC gives confirmatory evidence
  • FDA can be flexible by taking in consideration the quantity and quality of confirmatory evidence and the totality of evidence
  • So pharmacology studies, natural history etc.  can be enough
  • For a drug like Lamzede for mannosidosis there were no positive endpoint studies or for ADA SCID disease there was other compelling evidence
  • The FDA does have flexibility when it comes to advanced precision medicines and ultr rare diseases

10:50 Do we Really Need Liquid Biopsy? A Panel Discussion on the Issues Hampering the full Adoption of Liquid Biopsy

  • In Mexico leading cancer is colorectal but only have the FIT test and noone except one organization who issupplying health access
  • Access to precision medicine is a concern:  the communication between the patient, who is pushing this more than healthcare, needs to be coordinated better with all stakeholders in care
  • We also need to educate many physicians even oncologists (like in Virginia) a better understanding of genetics and omics
  • FT3 consortium does testing to therapy (multistakeholder group comprised of patient advocacy groups); focus on amplifying global efforts to increase access; they are trying to make a roadmap to help access in other countries; when it comes to precision medicine it is usually the nurses that are aksing for training because they are usually the first responders for the patient’s questions
  • In rural areas just getting access to liquid biopsy is a concern and maybe satellite sites might be useful because the time to schedule is getting worse (like 3 or more months)
  •  A recent paper showed that liquid biopsy may actually perpetuate health disparities and not ameliorate them
  • BloodPAC: there are barriers to LB access and adoption so consortium felt that there were many areas that need to be addressed: financial, access, disparities, education
  • ctDNA to define variants was the past focus; there is growing realization that there are representatives populations in your R&D studies
  • Submission of data to BloodPac is easier to do for tissue not for liquid biopsy;  there is lack of harmonization across many of these databanks
  • Reimbursement: is a barrier to access for liquid biopsy
  • Illumina: challenge finding clinical utility for payers; FDA approval is not as hard; show improved outcomes for patients; Medicare is starting to approve some tests but the criteria bar keeps changing with payers; 
  • How do we leverage the on-market data to support performance of your diagnostic test or genomic panel

 

This event will be covered by the LPBI Group on Twitter.  Follow on

@Pharma_BI

@StephenJWillia2

@Aviva1950

@AdvancingPM

using the following meeting hashtags

#AdvancingPM #precisionmedicine

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Real Time Coverage Advancing Precision Medicine Annual Conference, Philadelphia PA November 1,2 2024

Reporter: Stephen J. Williams, Ph.D.

Source: https://www.advancingprecisionmedicine.com/apm-annual-conference-and-exhibition-in-philadelphia/ 

This event will be covered by the LPBI Group on Twitter.  Follow on

@Pharma_BI

@StephenJWillia2

@Aviva1950

@AdvancingPM

using the following meeting hashtags

#AdvancingPM #precisionmedicine

The Advancing Precision Medicine (APM) Annual Conference 2024 will take place at the Pennsylvania Convention Center in Philadelphia,  November 1-2, 2024. Located in the heart of the biopharma ecosystem and with easy access to some of the most renowned academic and research institutions in the world, the APM Annual Conference 2024 will attract all segments of the precision medicine landscape.

The event will consist of two parallel tracks composed of keynote addresses, panel discussions and fireside chats which will encourage audience participation. Over the course of the two-day event leaders from industry, healthcare, regulatory bodies, academia and other pertinent stakeholders will share an intriguing and broad scope of content.

his event will consist of three immersive tracks, each crafted to explore the multifaceted dimensions of precision medicine. Delve into Precision Oncology, where groundbreaking advancements are reshaping the landscape of cancer diagnosis and treatment. Traverse the boundaries of Precision Medicine Outside of Oncology, as we probe into the intricate interplay of genetics, lifestyle, and environment across a spectrum of diseases and conditions including rare disease, cardiology, ophthalmology, and neurodegenerative disease. Immerse yourself in AI for Precision Medicine, where cutting-edge technologies are revolutionizing diagnostics, therapeutics, and patient care. Additionally, explore the emerging frontiers of Spatial Biology and Mult-Omics, where integrated approaches are unraveling the complexities of biological systems with unprecedented depth and precision.

Whether you are a seasoned researcher, a dedicated clinician, or a visionary industry professional, this conference serves as a vibrant hub of knowledge exchange, collaboration, and innovation. Elevate your expertise, expand your network, and chart the course of your career trajectory amidst a community of like-minded individuals.  Join us as we embark on this transformative journey, where the possibilities are as limitless as the potential of precision medicine itself.

Agenda – What’s on when

7:30 – 8:25

Registration and Check-in          Meeting Room 203          Philadelphia Convention Center

8:25 – 8:30

Welcome and Introduction

8:30 – 9:00

Opening Keynote

Advancing Precision Medicine in the Prevention and Treatment of Cardiometabolic Disease (CME Eligible)

Daniel Rader

Daniel Rader, Penn Medicine and Children’s Hospital of Philadelphia

9:00 – 10:20

9:00-10:20

Diagnosis to Treatment – A Case Study in Non Small Cell Lung Cancer

Jason Crites

Moderator: Jason Crites, Assurance Health Data

Miriam Bredella, NYU Lagone Health

Robert Dumanois

Rob Dumanois, Thermo Fisher Scientific

Joe Lennerz

Joe Lennerz, BostonGene

10:20 – 10:50

Networking, Exhibits and Product Presentations

10:25-10:35  PRODUCT PRESENTATION  204C

The Genexus Integrated Sequencer System:
NGS Results in 24 hours for Oncology Genomic Profiling

Jeff Smith,  Thermo Fisher Scientific

10:35-10:45  PRODUCT PRESENTATION  204A

Shifting the Paradigm in Patient Management with MRD Testing: Why Evidence-Generated Performance and Experience is Key

Karen Lin, Natera

10:50 – 12:50

10:50-11:50

Who Needs Liquid Biopsy? Opportunities to Increase Access and Improve Outcomes

Nicole St. Jean, GSK

Phil Febbo,  Veracyte, Inc.

Andrea Ferreira-Gonzalez, Virginia Commonwealth University

Lauren Leiman, BloodPAC

Nicole Sheahan, Global Colon Cancer Association

11:50-12:50

Advancing Digital Pathology and Precision Medicine – Where Are We Now?

Shruti Mathur, Genentech

Luke Benko, Roche Diagnostics

Kimberly GasuadJK Life Sciences

Eric Walk, PathAI

10:50-11:10

Real World Data vs Multi Modal Omics Data for Therapeutic Discovery (CME Eligible)

Adam Resnick, CHOP

11:10-11:30

An Academic Perspective on Rare Disease Target Discovery to Commercial Treatment Development (CME Eligible)

Hakon Hakonarson

Hakon Hakonarson, CHOP

11:30-11:50

NCATS Perspective on Success and Failures of Drug Repurposing for Rare Disease (CME Eligible)

PJ Brooks, NIH

11:50-12:10

Pharma Perspective and Realities (CME Eligible)

Sundeep Dugar, Rarefy Therapeutics

12:10-12:50

A Panel Discussion: Scaling Precision Therapeutic Development for Rare Disease (CME Eligible)

Marni Falk

Marni Falk, CHOP

Stephen Ekker, University of Texas at Austin

Christine Nguyen, FDA

Frank Sasinowski, Hyman, Phelps & McNamara

Adam Resnick, CHOP

Hakon Hakonarson

Hakon Hakonarson, CHOP

Sundeep Dugar, Rarefy Therapeutics

PJ Brooks, NIH

12:50 – 1:50

Lunch & Product Presentations

1:10-1:25  PRODUCT PRESENTATION  204C

The Power of ctDNA Testing in Therapy Selection and Recurrence Monitoring

Taylor Jensen,  LabCorp

1:50 – 3:50

1:50-3:50

Unlocking the Next Quantum Leap in Precision Medicine – A Town Hall Discussion (CME Eligible)

Co-Chairs

Amanda Paulovich

Amanda Paulovich, Fred Hutchinson Cancer Center

Henry Rodriguez

Henry Rodriguez, NCI/NIH

Eric Schadt

Eric Schadt, Pathos

Participants

Ezra Cohen, Tempus

Jennifer Leib, Innovation Policy Solutions

Susan Monarez, ARPA-H

Nick Seddon, Optum Genomics 

Giselle Sholler, Penn State Hershey Children’s Hospital

Janet Woodcock

Janet Woodcock, Former FDA

1:50-2:50

Advancing Precision Medicine in Non-Oncology Therapeutic Areas

Moderator: Mike Montalto, Amgen

Scott Friedman, Mt. Sinai

Sana Syed, University of Virginia

Lei Zhao, Amgen

2:50-3:20

Towards a Precision Neuroimmunology Platform (CME Eligible)

Amit Bar-Or, Penn Medicine

3:20-3:50

3:50 – 4:20

Networking and Exhibits

4:20 – 6:15

4:20-4:45

Advancing Precision Medicine: Polygenic Risk Scores and Beyond (CME Eligible)

Dokyoon Kim, Penn Medicine

4:45-5:30

The Rocky Road to Clinical Trial Diversity (CME Eligible)

Ysabel Duron, The Latino Cancer Institute

Porscha Johnson, PJW Clinical Pharmacy Consulting

Victor LaGroon, Department of Veterans Affairs

5:30-6:15

In the Rising Age of Women’s Health, How Do We Build Diagnostics to Last?

Oriana Papin Zoghbi, AOADx

Sarah Huah, Johnson & Johnson

6:30 – 7:00

Evening Keynote

Reimagining Health Equity in the Era of Precision Medicine (CME Eligible)

Rick Kittles

Rick Kittles, Morehouse School of Medicine

7:00 – 7:45

Cocktail Networking Reception 

November 02, 2024

8:00-8:55

Registration and Check-in          Meeting Room 203          Philadelphia Convention Center

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Nobel Prize in Chemistry 2024 to David Baker, Demis Hassabis and John M. Jumper

Reporter: Aviva Lev-Ari, PhD, RN

 

UPDATED on 10/22/2024

ProteinMPNN, which is now available free on the open-source software repository GitHub, will give researchers the tools to make unlimited new designs. “The challenge, of course …  is what are you going to design?” Baker says.

 

Hallucinating symmetric protein assemblies

Authors Info & Affiliations

Science

15 Sep 2022

Vol 378, Issue 6615

  1. 56-61

DOI: 10.1126/science.add1964

https://www.science.org/doi/10.1126/science.add1964

 

Robust deep learning–based protein sequence design using ProteinMPNN

Authors Info & Affiliations

Science

15 Sep 2022

Vol 378, Issue 6615

  1. 49-56

DOI: 10.1126/science.add2187

https://www.science.org/doi/10.1126/science.add2187

 

UPDATED on 10/13/2024

In a second Nobel win for AI, the Royal Swedish Academy of Sciences has awarded half the 2024 prize in chemistry to Demis Hassabis, the cofounder and CEO of Google DeepMind, and John M. Jumper, a director at the same company, for their work on using artificial intelligence to predict the structures of proteins. The other half goes to David Baker, a professor of biochemistry at the University of Washington, for his work on computational protein design. The winners will share a prize pot of 11 million Swedish kronor ($1 million).

The potential impact of this research is enormous. Proteins are fundamental to life, but understanding what they do involves figuring out their structure—a very hard puzzle that once took months or years to crack for each type of protein. By cutting down the time it takes to predict a protein’s structure, computational tools such as those developed by this year’s award winners are helping scientists gain a greater understanding of how proteins work and opening up new avenues of research and drug development. The technology could unlock more efficient vaccines, speed up research on cures for cancer, or lead to completely new materials.

Hassabis and Jumper created AlphaFold, which in 2020 solved a problem scientists have been wrestling with for decades: predicting the three-dimensional structure of a protein from a sequence of amino acids. The AI tool has since been used to predict the shapes of all proteins known to science.

Their latest model, AlphaFold 3, can predict the structures of DNA, RNA, and molecules like ligands, which are essential to drug discovery. DeepMind has also released the source code and database of its results to scientists for free.

“I’ve dedicated my career to advancing AI because of its unparalleled potential to improve the lives of billions of people,” said Demis Hassabis. “AlphaFold has already been used by more than two million researchers to advance critical work, from enzyme design to drug discovery. I hope we’ll look back on AlphaFold as the first proof point of AI’s incredible potential to accelerate scientific discovery,” he added.

Baker has created several AI tools for designing and predicting the structure of proteins, such as a family of programs called Rosetta. In 2022, his lab created an open-source AI tool called ProteinMPNN that could help researchers discover previously unknown proteins and design entirely new ones. It helps researchers who have an exact protein structure in mind find amino acid sequences that fold into that shape.

Most recently, in late September, Baker’s lab announced it had developed custom molecules that allow scientists to precisely target and eliminate proteins associated with diseases in living cells.

“[Proteins] evolved over the course of evolution to solve the problems that organisms faced during evolution. But we face new problems today, like covid. If we could design proteins that were as good at solving new problems as the ones that evolved during evolution are at solving old problems, it would be really, really powerful,” Baker told MIT Technology Review in 2022.

10/9/2024

David Baker “for computational protein design”

born 1962 in Seattle, WA, USA. PhD 1989 from University of California, Berkeley, CA, USA. Professor at University of Washington, Seattle, WA, USA and Investigator, Howard Hughes Medical Institute, USA.

University of Washington, Seattle, WA, USA
Howard Hughes Medical Institute, USA

Demis Hassabis “for protein structure prediction”

born 1976 in London, UK. PhD 2009 from University College London, UK. CEO of Google DeepMind, London, UK.

Google DeepMind, London, UK

John M. Jumper “for protein structure prediction”

born 1985 in Little Rock, AR, USA. PhD 2017 from Uni­versity of Chicago, IL, USA. Senior Research Scientist at Google DeepMind, London, UK.

Google DeepMind, London, UK

 

The Nobel Prize in Chemistry 2024 is about pro­teins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential.

“One of the discoveries being recognised this year concerns the construction of spectacular proteins. The other is about fulfilling a 50-year-old dream: predicting protein structures from their amino acid sequences. Both of these discoveries open up vast possibilities,” says Heiner Linke, Chair of the Nobel Committee for Chemistry.

Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors.

The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough.

In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.

Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind.

@@@@

This year’s Nobel Prize laureates in chemistry Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures.

In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.

Read more about their story: https://bit.ly/4diKiJ2

No alternative text description for this image

SOURCE

https://www.linkedin.com/company/nobelprize/posts/?feedView=all

 

Reference

Popular science background: They have revealed proteins’ secrets through computing and artificial intelligence (pdf)

Scientific background: Computational protein design and protein structure prediction (pdf)

 

SOURCE

https://www.nobelprize.org/prizes/chemistry/2024/press-release/

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Eight Subcellular Pathologies driving Chronic Metabolic Diseases – Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics: Impact on Pharmaceuticals in Use

Eight Subcellular Pathologies driving Chronic Metabolic Diseases – Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics: Impact on Pharmaceuticals in Use

Curators:

 

THE VOICE of Aviva Lev-Ari, PhD, RN

In this curation we wish to present two breaking through goals:

Goal 1:

Exposition of a new direction of research leading to a more comprehensive understanding of Metabolic Dysfunctional Diseases that are implicated in effecting the emergence of the two leading causes of human mortality in the World in 2023: (a) Cardiovascular Diseases, and (b) Cancer

Goal 2:

Development of Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics for these eight subcellular causes of chronic metabolic diseases. It is anticipated that it will have a potential impact on the future of Pharmaceuticals to be used, a change from the present time current treatment protocols for Metabolic Dysfunctional Diseases.

According to Dr. Robert Lustig, M.D, an American pediatric endocrinologist. He is Professor emeritus of Pediatrics in the Division of Endocrinology at the University of California, San Francisco, where he specialized in neuroendocrinology and childhood obesity, there are eight subcellular pathologies that drive chronic metabolic diseases.

These eight subcellular pathologies can’t be measured at present time.

In this curation we will attempt to explore methods of measurement for each of these eight pathologies by harnessing the promise of the emerging field known as Bioelectronics.

Unmeasurable eight subcellular pathologies that drive chronic metabolic diseases

  1. Glycation
  2. Oxidative Stress
  3. Mitochondrial dysfunction [beta-oxidation Ac CoA malonyl fatty acid]
  4. Insulin resistance/sensitive [more important than BMI], known as a driver to cancer development
  5. Membrane instability
  6. Inflammation in the gut [mucin layer and tight junctions]
  7. Epigenetics/Methylation
  8. Autophagy [AMPKbeta1 improvement in health span]

Diseases that are not Diseases: no drugs for them, only diet modification will help

Image source

Robert Lustig, M.D. on the Subcellular Processes That Belie Chronic Disease

https://www.youtube.com/watch?v=Ee_uoxuQo0I

 

Exercise will not undo Unhealthy Diet

Image source

Robert Lustig, M.D. on the Subcellular Processes That Belie Chronic Disease

https://www.youtube.com/watch?v=Ee_uoxuQo0I

 

These eight Subcellular Pathologies driving Chronic Metabolic Diseases are becoming our focus for exploration of the promise of Bioelectronics for two pursuits:

  1. Will Bioelectronics be deemed helpful in measurement of each of the eight pathological processes that underlie and that drive the chronic metabolic syndrome(s) and disease(s)?
  2. IF we will be able to suggest new measurements to currently unmeasurable health harming processes THEN we will attempt to conceptualize new therapeutic targets and new modalities for therapeutics delivery – WE ARE HOPEFUL

In the Bioelecronics domain we are inspired by the work of the following three research sources:

  1. Biological and Biomedical Electrical Engineering (B2E2) at Cornell University, School of Engineering https://www.engineering.cornell.edu/bio-electrical-engineering-0
  2. Bioelectronics Group at MIT https://bioelectronics.mit.edu/
  3. The work of Michael Levin @Tufts, The Levin Lab
Michael Levin is an American developmental and synthetic biologist at Tufts University, where he is the Vannevar Bush Distinguished Professor. Levin is a director of the Allen Discovery Center at Tufts University and Tufts Center for Regenerative and Developmental Biology. Wikipedia
Born: 1969 (age 54 years), Moscow, Russia
Education: Harvard University (1992–1996), Tufts University (1988–1992)
Affiliation: University of Cape Town
Research interests: Allergy, Immunology, Cross Cultural Communication
Awards: Cozzarelli prize (2020)
Doctoral advisor: Clifford Tabin
Most recent 20 Publications by Michael Levin, PhD
SOURCE
SCHOLARLY ARTICLE
The nonlinearity of regulation in biological networks
1 Dec 2023npj Systems Biology and Applications9(1)
Co-authorsManicka S, Johnson K, Levin M
SCHOLARLY ARTICLE
Toward an ethics of autopoietic technology: Stress, care, and intelligence
1 Sep 2023BioSystems231
Co-authorsWitkowski O, Doctor T, Solomonova E
SCHOLARLY ARTICLE
Closing the Loop on Morphogenesis: A Mathematical Model of Morphogenesis by Closed-Loop Reaction-Diffusion
14 Aug 2023Frontiers in Cell and Developmental Biology11:1087650
Co-authorsGrodstein J, McMillen P, Levin M
SCHOLARLY ARTICLE
30 Jul 2023Biochim Biophys Acta Gen Subj1867(10):130440
Co-authorsCervera J, Levin M, Mafe S
SCHOLARLY ARTICLE
Regulative development as a model for origin of life and artificial life studies
1 Jul 2023BioSystems229
Co-authorsFields C, Levin M
SCHOLARLY ARTICLE
The Yin and Yang of Breast Cancer: Ion Channels as Determinants of Left–Right Functional Differences
1 Jul 2023International Journal of Molecular Sciences24(13)
Co-authorsMasuelli S, Real S, McMillen P
SCHOLARLY ARTICLE
Bioelectricidad en agregados multicelulares de células no excitables- modelos biofísicos
Jun 2023Revista Española de Física32(2)
Co-authorsCervera J, Levin M, Mafé S
SCHOLARLY ARTICLE
Bioelectricity: A Multifaceted Discipline, and a Multifaceted Issue!
1 Jun 2023Bioelectricity5(2):75
Co-authorsDjamgoz MBA, Levin M
SCHOLARLY ARTICLE
Control Flow in Active Inference Systems – Part I: Classical and Quantum Formulations of Active Inference
1 Jun 2023IEEE Transactions on Molecular, Biological, and Multi-Scale Communications9(2):235-245
Co-authorsFields C, Fabrocini F, Friston K
SCHOLARLY ARTICLE
Control Flow in Active Inference Systems – Part II: Tensor Networks as General Models of Control Flow
1 Jun 2023IEEE Transactions on Molecular, Biological, and Multi-Scale Communications9(2):246-256
Co-authorsFields C, Fabrocini F, Friston K
SCHOLARLY ARTICLE
Darwin’s agential materials: evolutionary implications of multiscale competency in developmental biology
1 Jun 2023Cellular and Molecular Life Sciences80(6)
Co-authorsLevin M
SCHOLARLY ARTICLE
Morphoceuticals: Perspectives for discovery of drugs targeting anatomical control mechanisms in regenerative medicine, cancer and aging
1 Jun 2023Drug Discovery Today28(6)
Co-authorsPio-Lopez L, Levin M
SCHOLARLY ARTICLE
Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine
12 May 2023Patterns4(5)
Co-authorsMathews J, Chang A, Devlin L
SCHOLARLY ARTICLE
Making and breaking symmetries in mind and life
14 Apr 2023Interface Focus13(3)
Co-authorsSafron A, Sakthivadivel DAR, Sheikhbahaee Z
SCHOLARLY ARTICLE
The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis
14 Apr 2023Interface Focus13(3)
Co-authorsPio-Lopez L, Bischof J, LaPalme JV
SCHOLARLY ARTICLE
The collective intelligence of evolution and development
Apr 2023Collective Intelligence2(2):263391372311683SAGE Publications
Co-authorsWatson R, Levin M
SCHOLARLY ARTICLE
Bioelectricity of non-excitable cells and multicellular pattern memories: Biophysical modeling
13 Mar 2023Physics Reports1004:1-31
Co-authorsCervera J, Levin M, Mafe S
SCHOLARLY ARTICLE
There’s Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines
1 Mar 2023Biomimetics8(1)
Co-authorsBongard J, Levin M
SCHOLARLY ARTICLE
Transplantation of fragments from different planaria: A bioelectrical model for head regeneration
7 Feb 2023Journal of Theoretical Biology558
Co-authorsCervera J, Manzanares JA, Levin M
SCHOLARLY ARTICLE
Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind
1 Jan 2023Animal Cognition
Co-authorsLevin M
SCHOLARLY ARTICLE
Biological Robots: Perspectives on an Emerging Interdisciplinary Field
1 Jan 2023Soft Robotics
Co-authorsBlackiston D, Kriegman S, Bongard J
SCHOLARLY ARTICLE
Cellular Competency during Development Alters Evolutionary Dynamics in an Artificial Embryogeny Model
1 Jan 2023Entropy25(1)
Co-authorsShreesha L, Levin M
5

5 total citations on Dimensions.

Article has an altmetric score of 16
SCHOLARLY ARTICLE
1 Jan 2023BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY138(1):141
Co-authorsClawson WP, Levin M
SCHOLARLY ARTICLE
Future medicine: from molecular pathways to the collective intelligence of the body
1 Jan 2023Trends in Molecular Medicine
Co-authorsLagasse E, Levin M

THE VOICE of Dr. Justin D. Pearlman, MD, PhD, FACC

PENDING

THE VOICE of  Stephen J. Williams, PhD

Ten TakeAway Points of Dr. Lustig’s talk on role of diet on the incidence of Type II Diabetes

 

  1. 25% of US children have fatty liver
  2. Type II diabetes can be manifested from fatty live with 151 million  people worldwide affected moving up to 568 million in 7 years
  3. A common myth is diabetes due to overweight condition driving the metabolic disease
  4. There is a trend of ‘lean’ diabetes or diabetes in lean people, therefore body mass index not a reliable biomarker for risk for diabetes
  5. Thirty percent of ‘obese’ people just have high subcutaneous fat.  the visceral fat is more problematic
  6. there are people who are ‘fat’ but insulin sensitive while have growth hormone receptor defects.  Points to other issues related to metabolic state other than insulin and potentially the insulin like growth factors
  7. At any BMI some patients are insulin sensitive while some resistant
  8. Visceral fat accumulation may be more due to chronic stress condition
  9. Fructose can decrease liver mitochondrial function
  10. A methionine and choline deficient diet can lead to rapid NASH development

 

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Cancer Policy Related News from Washington DC and New NCI Appointments

Reportor: Stephen J. Williams, PhD.

Article ID #297: Cancer Policy Related News from Washington DC and New NCI Appointments. Published on 10/4/2022

WordCloud Image Produced by Adam Tubman

Biden to announce appointees to Cancer Panel, part of initiative to cut death rate

The president first launched the initiative in 2016 as vice president.

By Mary Kekatos

July 13, 2022, 3:00 PM

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America This Morning

America This Morning

President Joe Biden will announce Wednesday his appointees to the President’s Cancer Panel, ABC News can exclusively reveal.

The Cancer Panel is part of Biden’s Cancer Moonshot Initiative, which was relaunched in February, with a goal of slashing the national cancer death rate by 50% over the next 25 years.MORE: Biden relaunches cancer ‘moonshot’ initiative to help cut death rate

Biden will appoint Dr. Elizabeth Jaffee, Dr. Mitchel Berger and Dr. Carol Brown to the panel, which will advise him and the White House on how to use resources of the federal government to advance cancer research and reduce the burden of cancer in the United States.

Jaffee, who will serve as chair of the panel, is an expert in cancer immunology and pancreatic cancer, according to the White House. She is currently the deputy director of the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University and previously led the American Association for Cancer Research.

PHOTO: In this Sept. 8, 2016, file photo, Dr. Elizabeth M. Jaffee of the Pancreatic Dream Team attends Stand Up To Cancer (SU2C), a program of the Entertainment Industry Foundation (EIF), in Hollywood, Calif.
In this Sept. 8, 2016, file photo, Dr. Elizabeth M. Jaffee of the Pancreatic Dream Team attends Stand Up To Cancer (SU2C), a program of the Entertainment Industry Foundation (EIF), in Hollywood, Calif.ABC Handout via Getty Images, FILE

Berger, a neurological surgeon, directs the University of California, San Francisco Brain Tumor Center and previously spent 23 years at the school as a professor of neurological surgery.

Brown, a gynecologic oncologist, is the senior vice president and chief health equity officer at Memorial Sloan Kettering Cancer Center in New York City. According to the White House, much of her career has been focused on eliminating cancer care disparities due to racial, ethnic, cultural or socioeconomic factors.

Additionally, First Lady Jill Biden, members of the Cabinet and other administration officials are holding a meeting Wednesday of the Cancer Cabinet, made up of officials across several governmental departments and agencies, the White House said.

The Cabinet will introduce new members and discuss priorities in the battle against cancer including closing the screening gap, addressing potential environmental exposures, reducing the number of preventable cancer and expanding access to cancer research.MORE: Long Island school district found to have higher rates of cancer cases: Study

It is the second meeting of the cabinet since Biden relaunched the initiative in February, which he originally began in 2016 when he was vice president.

Both Jaffee and Berger were members of the Blue Ribbon Panel for the Cancer Moonshot Initiative led by Biden.

The initiative has personal meaning for Biden, whose son, Beau, died of glioblastoma — one of the most aggressive forms of brain cancer — in 2015.

“I committed to this fight when I was vice president,” Biden said at the time, during an event at the White House announcing the relaunch. “It’s one of the reasons why, quite frankly, I ran for president. Let there be no doubt, now that I am president, this is a presidential, White House priority. Period.”

The initiative has several priority actions including diagnosing cancer sooner; preventing cancer; addressing inequities; and supporting patients, caregivers and survivors.

PHOTO: In this June 14, 2016, file photo, Dr. Carol Brown, physician at Memorial Sloan Kettering Cancer Center, gives a presentation, at The White House Summit on The United State of Women, in Washington, D.C.
In this June 14, 2016, file photo, Dr. Carol Brown, physician at Memorial Sloan Kettering Cancer Center, gives a presentation, at The White House Summit on The United State of Women, in Washington, D.C.NurPhoto via Getty Images, FILE

The White House has also issued a call to action to get cancer screenings back to pre-pandemic levels.

More than 9.5 million cancer screenings that would have taken place in 2020 were missed due to the COVID-19 pandemic, according to the National Institutes of Health.MORE: Louisiana’s ‘Cancer Alley’ residents in clean air fight

“We have to get cancer screenings back on track and make sure they’re accessible to all Americans,” Biden said at the time.

Since the first meeting of the Cancer Cabinet, the Centers for Disease Control and Prevention has issued more than $200 million in grants to cancer prevention programs, the Centers for Medicaid & Medicare Services implemented a new model to reduce the cost of cancer care, and the U.S. Patent and Trademark Office said it will fast-track applications for cancer immunotherapies.

ABC News’ Sasha Pezenik contributed to this report.

Biden to tap prominent Harvard cancer surgeon to head National Cancer Institute

Monica Bertagnolli brings leadership experience in cancer clinical trials funded by the $7 billion research agency

headshot of Monica Bertagnolli
Monica BertagnolliASCO; GLENN DAVENPORT

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President Joe Biden is expected to pick cancer surgeon Monica Bertagnolli as the next director of the National Cancer Institute (NCI). Bertagnolli, a physician-scientist at Brigham and Women’s Hospital, the Dana-Farber Cancer Center, and Harvard Medical School, specializes in gastrointestinal cancers and is well known for her expertise in clinical trials. She will replace Ned Sharpless, who stepped down as NCI director in April after nearly 5 years.

The White House has not yet announced the selection, first reported by STAT, but several cancer research organizations closely watching for the nomination have issued statements supporting Bertagnolli’s expected selection. She is “a national leader” in clinical cancer research and “a great person to take the job,” Sharpless told ScienceInsider.

With a budget of $7 billion, NCI is the largest component of the National Institutes of Health (NIH) and the world’s largest funder of cancer research. Its director is the only NIH institute director selected by the president. Bertagnolli’s expected appointment, which does not require Senate confirmation, drew applause from the cancer research community

Margaret Foti, CEO of the American Association for Cancer Research, praised Bertagnolli’s “appreciation for … basic research” and “commitment to ensuring that such treatment innovations reach patients … across the United States.” Ellen Sigal, chair and founder of Friends of Cancer Research, says Bertagnolli “brings expertise the agency needs at a true inflection point for cancer research.”

Bertagnolli, 63, will be the first woman to lead NCI. Her lab research on tumor immunology and the role of a gene called APC in colorectal cancer led to a landmark trial she headed showing that an anti-inflammatory drug can help prevent this cancer. In 2007, she became the chief of surgery at the Dana-Farber Brigham Cancer Center.

She served as president of the American Society of Clinical Oncology in 2018 and currently chairs the Alliance for Clinical Trials in Oncology, which is funded by NCI’s National Clinical Trials Network. The network is a “complicated” program, and “Monica will have a lot of good ideas on how to make it work better,” Sharpless says.

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One of Bertagnolli’s first tasks will be to shape NCI’s role in Biden’s reignited Cancer Moonshot, which aims to slash the U.S. cancer death rate in half within 25 years. NCI’s new leader also needs to sort out how the agency will mesh with a new NIH component that will fund high-risk, goal-driven research, the Advanced Research Projects Agency for Health (ARPA-H).

Bertagnolli will also head NCI efforts already underway to boost grant funding rates, diversify the cancer research workplace, and reduce higher death rates for Black people with cancer.

The White House recently nominated applied physicist Arati Prabhakar to fill another high-level science position, director of the White House Office of Science and Technology Policy (OSTP). But still vacant is the NIH director slot, which Francis Collins, acting science adviser to the president, left in December 2021. And the administration hasn’t yet selected the inaugural director of ARPA-H.

Correction, 22 July, 9 a.m.: This story has been updated to reflect that Francis Collins is acting science adviser to the president, not acting director of the White House Office of Science and Technology Policy.

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#TUBiol5227: Biomarkers & Biotargets: Genetic Testing and Bioethics

Curator: Stephen J. Williams, Ph.D.

The advent of direct to consumer (DTC) genetic testing and the resultant rapid increase in its popularity as well as companies offering such services has created some urgent and unique bioethical challenges surrounding this niche in the marketplace. At first, most DTC companies like 23andMe and Ancestry.com offered non-clinical or non-FDA approved genetic testing as a way for consumers to draw casual inferences from their DNA sequence and existence of known genes that are linked to disease risk, or to get a glimpse of their familial background. However, many issues arose, including legal, privacy, medical, and bioethical issues. Below are some articles which will explain and discuss many of these problems associated with the DTC genetic testing market as well as some alternatives which may exist.

‘Direct-to-Consumer (DTC) Genetic Testing Market to hit USD 2.5 Bn by 2024’ by Global Market Insights

This post has the following link to the market analysis of the DTC market (https://www.gminsights.com/pressrelease/direct-to-consumer-dtc-genetic-testing-market). Below is the highlights of the report.

As you can see,this market segment appears to want to expand into the nutritional consulting business as well as targeted biomarkers for specific diseases.

Rising incidence of genetic disorders across the globe will augment the market growth

Increasing prevalence of genetic disorders will propel the demand for direct-to-consumer genetic testing and will augment industry growth over the projected timeline. Increasing cases of genetic diseases such as breast cancer, achondroplasia, colorectal cancer and other diseases have elevated the need for cost-effective and efficient genetic testing avenues in the healthcare market.
 

For instance, according to the World Cancer Research Fund (WCRF), in 2018, over 2 million new cases of cancer were diagnosed across the globe. Also, breast cancer is stated as the second most commonly occurring cancer. Availability of superior quality and advanced direct-to-consumer genetic testing has drastically reduced the mortality rates in people suffering from cancer by providing vigilant surveillance data even before the onset of the disease. Hence, the aforementioned factors will propel the direct-to-consumer genetic testing market overt the forecast timeline.
 

DTC Genetic Testing Market By Technology

Get more details on this report – Request Free Sample PDF
 

Nutrigenomic Testing will provide robust market growth

The nutrigenomic testing segment was valued over USD 220 million market value in 2019 and its market will witness a tremendous growth over 2020-2028. The growth of the market segment is attributed to increasing research activities related to nutritional aspects. Moreover, obesity is another major factor that will boost the demand for direct-to-consumer genetic testing market.
 

Nutrigenomics testing enables professionals to recommend nutritional guidance and personalized diet to obese people and help them to keep their weight under control while maintaining a healthy lifestyle. Hence, above mentioned factors are anticipated to augment the demand and adoption rate of direct-to-consumer genetic testing through 2028.
 

Browse key industry insights spread across 161 pages with 126 market data tables & 10 figures & charts from the report, “Direct-To-Consumer Genetic Testing Market Size By Test Type (Carrier Testing, Predictive Testing, Ancestry & Relationship Testing, Nutrigenomics Testing), By Distribution Channel (Online Platforms, Over-the-Counter), By Technology (Targeted Analysis, Single Nucleotide Polymorphism (SNP) Chips, Whole Genome Sequencing (WGS)), Industry Analysis Report, Regional Outlook, Application Potential, Price Trends, Competitive Market Share & Forecast, 2020 – 2028” in detail along with the table of contents:
https://www.gminsights.com/industry-analysis/direct-to-consumer-dtc-genetic-testing-market
 

Targeted analysis techniques will drive the market growth over the foreseeable future

Based on technology, the DTC genetic testing market is segmented into whole genome sequencing (WGS), targeted analysis, and single nucleotide polymorphism (SNP) chips. The targeted analysis market segment is projected to witness around 12% CAGR over the forecast period. The segmental growth is attributed to the recent advancements in genetic testing methods that has revolutionized the detection and characterization of genetic codes.
 

Targeted analysis is mainly utilized to determine any defects in genes that are responsible for a disorder or a disease. Also, growing demand for personalized medicine amongst the population suffering from genetic diseases will boost the demand for targeted analysis technology. As the technology is relatively cheaper, it is highly preferred method used in direct-to-consumer genetic testing procedures. These advantages of targeted analysis are expected to enhance the market growth over the foreseeable future.
 

Over-the-counter segment will experience a notable growth over the forecast period

The over-the-counter distribution channel is projected to witness around 11% CAGR through 2028. The segmental growth is attributed to the ease in purchasing a test kit for the consumers living in rural areas of developing countries. Consumers prefer over-the-counter distribution channel as they are directly examined by regulatory agencies making it safer to use, thereby driving the market growth over the forecast timeline.
 

Favorable regulations provide lucrative growth opportunities for direct-to-consumer genetic testing

Europe direct-to-consumer genetic testing market held around 26% share in 2019 and was valued at around USD 290 million. The regional growth is due to elevated government spending on healthcare to provide easy access to genetic testing avenues. Furthermore, European regulatory bodies are working on improving the regulations set on the direct-to-consumer genetic testing methods. Hence, the above-mentioned factors will play significant role in the market growth.
 

Focus of market players on introducing innovative direct-to-consumer genetic testing devices will offer several growth opportunities

Few of the eminent players operating in direct-to-consumer genetic testing market share include Ancestry, Color Genomics, Living DNA, Mapmygenome, Easy DNA, FamilytreeDNA (Gene By Gene), Full Genome Corporation, Helix OpCo LLC, Identigene, Karmagenes, MyHeritage, Pathway genomics, Genesis Healthcare, and 23andMe. These market players have undertaken various business strategies to enhance their financial stability and help them evolve as leading companies in the direct-to-consumer genetic testing industry.
 

For example, in November 2018, Helix launched a new genetic testing product, DNA discovery kit, that allows customer to delve into their ancestry. This development expanded the firm’s product portfolio, thereby propelling industry growth in the market.

The following posts discuss bioethical issues related to genetic testing and personalized medicine from a clinicians and scientisit’s perspective

Question: Each of these articles discusses certain bioethical issues although focuses on personalized medicine and treatment. Given your understanding of the robust process involved in validating clinical biomarkers and the current state of the DTC market, how could DTC testing results misinform patients and create mistrust in the physician-patient relationship?

Personalized Medicine, Omics, and Health Disparities in Cancer:  Can Personalized Medicine Help Reduce the Disparity Problem?

Diversity and Health Disparity Issues Need to be Addressed for GWAS and Precision Medicine Studies

Genomics & Ethics: DNA Fragments are Products of Nature or Patentable Genes?

The following posts discuss the bioethical concerns of genetic testing from a patient’s perspective:

Ethics Behind Genetic Testing in Breast Cancer: A Webinar by Laura Carfang of survivingbreastcancer.org

Ethical Concerns in Personalized Medicine: BRCA1/2 Testing in Minors and Communication of Breast Cancer Risk

23andMe Product can be obtained for Free from a new app called Genes for Good: UMich’s Facebook-based Genomics Project

Question: If you are developing a targeted treatment with a companion diagnostic, what bioethical concerns would you address during the drug development process to ensure fair, equitable and ethical treatment of all patients, in trials as well as post market?

Articles on Genetic Testing, Companion Diagnostics and Regulatory Mechanisms

Centers for Medicare & Medicaid Services announced that the federal healthcare program will cover the costs of cancer gene tests that have been approved by the Food and Drug Administration

Real Time Coverage @BIOConvention #BIO2019: Genome Editing and Regulatory Harmonization: Progress and Challenges

New York Times vs. Personalized Medicine? PMC President: Times’ Critique of Streamlined Regulatory Approval for Personalized Treatments ‘Ignores Promising Implications’ of Field

Live Conference Coverage @Medcitynews Converge 2018 Philadelphia: Early Diagnosis Through Predictive Biomarkers, NonInvasive Testing

Protecting Your Biotech IP and Market Strategy: Notes from Life Sciences Collaborative 2015 Meeting

Question: What type of regulatory concerns should one have during the drug development process in regards to use of biomarker testing? From the last article on Protecting Your IP how important is it, as a drug developer, to involve all payers during the drug development process?

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Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes

Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc

This image has an empty alt attribute; its file name is morethanthes.jpg
Seeing “through” the cancer with the power of data analysis — possible with the help of artificial intelligence. Credit: MPI f. Molecular Genetics/ Ella Maru Studio
Image Source: https://medicalxpress.com/news/2021-04-sum-mutations-cancer-genes-machine.html

Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into high or low-risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) and Artificial Intelligence (AI) methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions by predicting new algorithms.

In the majority of human cancers, heritable loss of gene function through cell division may be mediated as often by epigenetic as by genetic abnormalities. Epigenetic modification occurs through a process of interrelated changes in CpG island methylation and histone modifications. Candidate gene approaches of cell cycle, growth regulatory and apoptotic genes have shown epigenetic modification associated with loss of cognate proteins in sporadic pituitary tumors.

On 11th November 2020, researchers from the University of California, Irvine, has established the understanding of epigenetic mechanisms in tumorigenesis and publicized a previously undetected repertoire of cancer driver genes. The study was published in “Science Advances

Researchers were able to identify novel tumor suppressor genes (TSGs) and oncogenes (OGs), particularly those with rare mutations by using a new prediction algorithm, called DORGE (Discovery of Oncogenes and tumor suppressor genes using Genetic and Epigenetic features) by integrating the most comprehensive collection of genetic and epigenetic data.

The senior author Wei Li, Ph.D., the Grace B. Bell chair and professor of bioinformatics in the Department of Biological Chemistry at the UCI School of Medicine said

Existing bioinformatics algorithms do not sufficiently leverage epigenetic features to predict cancer driver genes, even though epigenetic alterations are known to be associated with cancer driver genes.

The Study

This study demonstrated how cancer driver genes, predicted by DORGE, included both known cancer driver genes and novel driver genes not reported in current literature. In addition, researchers found that the novel dual-functional genes, which DORGE predicted as both TSGs and OGs, are highly enriched at hubs in protein-protein interaction (PPI) and drug/compound-gene networks.

Prof. Li explained that the DORGE algorithm, successfully leveraged public data to discover the genetic and epigenetic alterations that play significant roles in cancer driver gene dysregulation and could be instrumental in improving cancer prevention, diagnosis and treatment efforts in the future.

Another new algorithmic prediction for the identification of cancer genes by Machine Learning has been carried out by a team of researchers at the Max Planck Institute for Molecular Genetics (MPIMG) in Berlin and the Institute of Computational Biology of Helmholtz Zentrum München combining a wide variety of data analyzed it with “Artificial Intelligence” and identified numerous cancer genes. They termed the algorithm as EMOGI (Explainable Multi-Omics Graph Integration). EMOGI can predict which genes cause cancer, even if their DNA sequence is not changed. This opens up new perspectives for targeted cancer therapy in personalized medicine and the development of biomarkers. The research was published in Nature Machine Intelligence on 12th April 2021.

In cancer, cells get out of control. They proliferate and push their way into tissues, destroying organs and thereby impairing essential vital functions. This unrestricted growth is usually induced by an accumulation of DNA changes in cancer genes—i.e. mutations in these genes that govern the development of the cell. But some cancers have only very few mutated genes, which means that other causes lead to the disease in these cases.

The Study

Overlap of EMOGI’s positive predictions with known cancer genes (KCGs) and candidate cancer genes
Image Source: https://static-content.springer.com/esm/art%3A10.1038%2Fs42256-021-00325-y/MediaObjects/42256_2021_325_MOESM1_ESM.pdf

The aim of the study has been represented in 4 main headings

  • Additional targets for personalized medicine
  • Better results by combination
  • In search of hints for further studies
  • Suitable for other types of diseases as well

The team was headed by Annalisa Marsico. The team used the algorithm to identify 165 previously unknown cancer genes. The sequences of these genes are not necessarily altered-apparently, already a dysregulation of these genes can lead to cancer. All of the newly identified genes interact closely with well-known cancer genes and be essential for the survival of tumor cells in cell culture experiments. The EMOGI can also explain the relationships in the cell’s machinery that make a gene a cancer gene. The software integrates tens of thousands of data sets generated from patient samples. These contain information about DNA methylations, the activity of individual genes and the interactions of proteins within cellular pathways in addition to sequence data with mutations. In these data, a deep-learning algorithm detects the patterns and molecular principles that lead to the development of cancer.

Marsico says

Ideally, we obtain a complete picture of all cancer genes at some point, which can have a different impact on cancer progression for different patients

Unlike traditional cancer treatments such as chemotherapy, personalized treatments are tailored to the exact type of tumor. “The goal is to choose the best treatment for each patient, the most effective treatment with the fewest side effects. In addition, molecular properties can be used to identify cancers that are already in the early stages.

Roman Schulte-Sasse, a doctoral student on Marsico’s team and the first author of the publication says

To date, most studies have focused on pathogenic changes in sequence, or cell blueprints, at the same time, it has recently become clear that epigenetic perturbation or dysregulation gene activity can also lead to cancer.

This is the reason, researchers merged sequence data that reflects blueprint failures with information that represents events in cells. Initially, scientists confirmed that mutations, or proliferation of genomic segments, were the leading cause of cancer. Then, in the second step, they identified gene candidates that are not very directly related to the genes that cause cancer.

Clues for future directions

The researcher’s new program adds a considerable number of new entries to the list of suspected cancer genes, which has grown to between 700 and 1,000 in recent years. It was only through a combination of bioinformatics analysis and the newest Artificial Intelligence (AI) methods that the researchers were able to track down the hidden genes.

Schulte-Sasse says “The interactions of proteins and genes can be mapped as a mathematical network, known as a graph.” He explained by giving an example of a railroad network; each station corresponds to a protein or gene, and each interaction among them is the train connection. With the help of deep learning—the very algorithms that have helped artificial intelligence make a breakthrough in recent years – the researchers were able to discover even those train connections that had previously gone unnoticed. Schulte-Sasse had the computer analyze tens of thousands of different network maps from 16 different cancer types, each containing between 12,000 and 19,000 data points.

Many more interesting details are hidden in the data. Patterns that are dependent on particular cancer and tissue were seen. The researchers were also observed this as evidence that tumors are triggered by different molecular mechanisms in different organs.

Marsico explains

The EMOGI program is not limited to cancer, the researchers emphasize. In theory, it can be used to integrate diverse sets of biological data and find patterns there. It could be useful to apply our algorithm for similarly complex diseases for which multifaceted data are collected and where genes play an important role. An example might be complex metabolic diseases such as diabetes.

Main Source

New prediction algorithm identifies previously undetected cancer driver genes

https://advances.sciencemag.org/content/6/46/eaba6784  

Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms

https://www.nature.com/articles/s42256-021-00325-y#citeas

Other Related Articles published in this Open Access Online Scientific Journal include the following:

AI System Used to Detect Lung Cancer

Reporter: Irina Robu, PhD

https://pharmaceuticalintelligence.com/2019/06/28/ai-system-used-to-detect-lung-cancer/

Deep Learning extracts Histopathological Patterns and accurately discriminates 28 Cancer and 14 Normal Tissue Types: Pan-cancer Computational Histopathology Analysis

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2019/10/28/deep-learning-extracts-histopathological-patterns-and-accurately-discriminates-28-cancer-and-14-normal-tissue-types-pan-cancer-computational-histopathology-analysis/

Evolution of the Human Cell Genome Biology Field of Gene Expression, Gene Regulation, Gene Regulatory Networks and Application of Machine Learning Algorithms in Large-Scale Biological Data Analysis

Curator & Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2019/12/08/evolution-of-the-human-cell-genome-biology-field-of-gene-expression-gene-regulation-gene-regulatory-networks-and-application-of-machine-learning-algorithms-in-large-scale-biological-data-analysis/

Cancer detection and therapeutics

Curator: Larry H. Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/2016/05/02/cancer-detection-and-therapeutics/

Free Bio-IT World Webinar: Machine Learning to Detect Cancer Variants

Reporter: Stephen J. Williams, PhD

https://pharmaceuticalintelligence.com/2016/05/04/free-bio-it-world-webinar-machine-learning-to-detect-cancer-variants/

Artificial Intelligence: Genomics & Cancer

https://pharmaceuticalintelligence.com/ai-in-genomics-cancer/

Premalata Pati, PhD, PostDoc in Biological Sciences, Medical Text Analysis with Machine Learning

https://pharmaceuticalintelligence.com/2021-medical-text-analysis-nlp/premalata-pati-phd-postdoc-in-pharmaceutical-sciences-medical-text-analysis-with-machine-learning/

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Joe Biden Announced Science Team Nominations for the New Administration

Reporter: Stephen J. Williams, PhD

Article ID #287: Joe Biden Announced Science Team Nominations for the New Administration. Published on 1/17/2021

WordCloud Image Produced by Adam Tubman

In an announcement televised on C-Span, President Elect Joseph Biden announced his new Science Team to advise on science policy matters, as part of the White House Advisory Committee on Science and Technology. Below is a video clip and the transcript, also available at

https://www.c-span.org/video/?508044-1/president-elect-biden-introduces-white-house-science-team

 

 

COMING UP TONIGHT ON C-SPAN, NEXT, PRESIDENT-ELECT JOE BIDEN AND VICE PRESIDENT-ELECT KAMALA HARRIS ANNOUNCE SEVERAL MEMBERS OF THEIR WHITE HOUSE SCIENCE TEAM. AND THEN SENATE MINORITY LEADER CHUCK SCHUMER TALKS ABOUT THE IMPEACHMENT OF PRESIDENT TRUMP IN THE WEEKLY DEMOCRATIC ADDRESS. AND AFTER THAT, TODAY’S SPEECH BY VICE PRESIDENT MIKE PENCE TO SAILORS AT NAVAL AIR STATION LAMORE IN CALIFORNIA. NEXT, PRESIDENT-ELECT JOE BIDEN AND VICE PRESIDENT-ELECT KAMALA HARRIS ANNOUNCE SEVERAL MEMBERS OF THEIR WHITE HOUSE SCIENCE TEAM. FROM WILMINGTON, DELAWARE, THIS IS ABOUT 40 MINUTES. PRESIDENT-ELECT BIDEN: GOOD AFTERNOON, FOLKS. I WAS TELLING THESE FOUR BRILLIANT SCIENTISTS AS I STOOD IN THE BACK, IN A WAY, THEY — THIS IS THE MOST EXCITING ANNOUNCEMENT THAT I’VE GOTTEN TO MAKE IN THE ENTIRE CABINET RAISED TO A CABINET LEVEL POSITION IN ONE CASE. THESE ARE AMONG THE BRIGHTEST MOST DEDICATED PEOPLE NOT ONLY IN THE COUNTRY BUT THE WORLD. THEY’RE COMPOSED OF SOME OF THE MOST SCIENTIFIC BRILLIANT MINDS IN THE WORLD. WHEN I WAS VICE PRESIDENT AS — I I HAD INTENSE INTEREST IN EVERYTHING THEY WERE DOING AND I PAID ENORMOUS ATTENTION. AND I WOULD — LIKE A KID GOING BACK TO SCHOOL. SIT DOWN AND CAN YOU EXPLAIN TO ME AND THEY WERE — VERY PATIENT WITH ME. AND — BUT AS PRESIDENT, I WANTED YOU TO KNOW I’M GOING TO PAY A GREAT DEAL OF ATTENTION. WHEN I TRAVEL THE WORLD AS VICE PRESIDENT, I WAS OFTEN ASKED TO EXPLAIN TO WORLD LEADERS, THEY ASKED ME THINGS LIKE DEFINE AMERICA. TELL ME HOW CAN YOU DEFINE AMERICA? WHAT’S AMERICA? AND I WAS ON A TIBETAN PLATEAU WITH AT THE TIME WITH XI ZIN PING AND WE HAD AN INTERPRETER CAN I DEFINE AMERICA FOR HIM? I SAID YES, I CAN. IN ONE WORD. POSSIBILITIES. POSSIBILITIES. I THINK IT’S ONE OF THE REASONS WHY WE’VE OCCASIONALLY BEEN REFERRED TO AS UGLY AMERICANS. WE THINK ANYTHING’S POSSIBLE GIVEN THE CHANCE, WE CAN DO ANYTHING. AND THAT’S PART OF I THINK THE AMERICAN SPIRIT. AND WHAT THE PEOPLE ON THIS STAGE AND THE DEPARTMENTS THEY WILL LEAD REPRESENT ENORMOUS POSSIBILITIES. THEY’RE THE ONES ASKING THE MOST AMERICAN OF QUESTIONS, WHAT NEXT? WHAT NEXT? NEVER SATISFIED, WHAT’S NEXT? AND WHAT’S NEXT IS BIG AND BREATHTAKING. HOW CAN — HOW CAN WE MAKE THE IMPOSSIBLE POSSIBLE? AND THEY WERE JUST ASKING QUESTIONS FOR THE SAKE OF QUESTIONS, THEY’RE ASKING THESE QUESTIONS AS CALL TO ACTION. , TO INSPIRE, TO HELP US IMAGINE THE FUTURE AND FIGURE OUT HOW TO MAKE IT REAL AND IMPROVE THE LIVES OF THE AMERICAN PEOPLE AND PEOPLE AROUND THE WORLD. THIS IS A TEAM THAT ASKED US TO IMAGINE EVERY HOME IN AMERICA BEING POWERED BY RENEWABLE ENERGY WITHIN THE NEXT 10 YEARS. OR 3-D IMAGE PRINTERS RESTORING TISSUE AFTER TRAUMATIC INJURIES AND HOSPITALS PRINTING ORGANS FOR ORGAN TRANSPLANTS. IMAGINE, IMAGINE. AND THEY REALLY — AND, YOU KNOW, THEN RALLY, THE SCIENTIFIC COMMUNITY TO GO ABOUT DOING WHAT WE’RE IMAGINING. YOU NEED SCIENCE, DATA AND DISCOVERY WAS A GOVERNING PHILOSOPHY IN THE OBAMA-BIDEN ADMINISTRATION. AND EVERYTHING FROM THE ECONOMY TO THE ENVIRONMENT TO CRIMINAL JUSTICE REFORM AND TO NATIONAL SECURITY. AND ON HEALTH CARE. FOR EXAMPLE, A BELIEF IN SCIENCE LED OUR EFFORTS TO MAP THE HUMAN BRAIN AND TO DEVELOP MORE PRECISE INDIVIDUALIZED MEDICINES. IT LED TO OUR ONGOING MISSION TO END CANCER AS WE KNOW IT, SOMETHING THAT IS DEEPLY PERSONAL TO BOTH MY FAMILY AND KAMALA’S FAMILY AND COUNTLESS FAMILIES IN AMERICA. WHEN PRESIDENT OBAMA ASKED ME TO LEAD THE CANCER MOON SHOT, I KNEW WE HAD TO INJECT A SENSE OF URGENCY INTO THE FIGHT. WE BELIEVED WE COULD DOUBLE THE RATE OF PROGRESS AND DO IN FIVE YEARS WHAT OTHERWISE WOULD TAKE 10. MY WIFE, JILL, AND I TRAVELED AROUND THE COUNTRY AND THE WORLD MEETING WITH THOUSANDS OF CANCER PATIENTS AND THEIR FAMILIES, PHYSICIANS, RESEARCHERS, PHILANTHROPISTS, TECHNOLOGY LEADERS AND HEADS OF STATE. WE SOUGHT TO BETTER UNDERSTAND AND BREAK DOWN THE SILOS AND STOVE PIPES THAT PREVENT THE SHARING OF INFORMATION AND IMPEDE ADVANCES IN CANCER RESEARCH AND TREATMENT WHILE BUILDING A FOCUSED AND COORDINATED EFFORT HERE AT HOME AND ABROAD. WE MADE PROGRESS. BUT THERE’S SO MUCH MORE THAT WE CAN DO. WHEN I ANNOUNCED THAT I WOULD NOT RUN IN 2015 AT THE TIME, I SAID I ONLY HAD ONE REGRET IN THE ROSE GARDEN AND IF I HAD ANY REGRETS THAT I HAD WON, THAT I WOULDN’T GET TO BE THE PRESIDENT TO PRESIDE OVER CANCER AS WE KNOW IT. WELL, AS GOD WILLING, AND ON THE 20TH OF THIS MONTH IN A COUPLE OF DAYS AS PRESIDENT I’M GOING TO DO EVERYTHING I CAN TO GET THAT DONE. I’M GOING TO — GOING TO BE A PRIORITY FOR ME AND FOR KAMALA AND IT’S A SIGNATURE ISSUE FOR JILL AS FIRST LADY. WE KNOW THE SCIENCE IS DISCOVERY AND NOT FICTION. AND IT’S ALSO ABOUT HOPE. AND THAT’S AMERICA. IT’S IN THE D.N.A. OF THIS COUNTRY, HOPE. WE’RE ON THE CUSP OF SOME OF THE MOST REMARKABLE BREAKTHROUGHS THAT WILL FUNDAMENTALLY CHANGE THE WAY OF LIFE FOR ALL LIFE ON THIS PLANET. WE CAN MAKE MORE PROGRESS IN THE NEXT 10 YEARS, I PREDICT, THAN WE’VE MADE IN THE LAST 50 YEARS. AND EXPONENTIAL MOVEMENT. WE CAN ALSO FACE SOME OF THE MOST DIRE CRISES IN A GENERATION WHERE SCIENCE IS CRITICAL TO WHETHER OR NOT WE MEET THE MOMENT OF PERIL AND PROMISE THAT WE KNOW IS WITHIN OUR REACH. IN 1944, FRANKLIN ROOSEVELT ASKED HIS SCIENCE ADVISOR HOW COULD THE UNITED STATES FURTHER ADVANCE SCIENTIFIC RESEARCH IN THE CRITICAL YEARS FOLLOWING THE SECOND WORLD WAR? THE RESPONSE LED TO SOME OF THE MOST GROUND BREAKING DISCOVERIES IN THE LAST 75 YEARS. AND WE CAN DO THAT AGAIN. AND WE CAN DO MORE. SO TODAY, I’M PROUD TO ANNOUNCE A TEAM OF SOME OF THE COUNTRY’S MOST BRILLIANT AND ACCOMPLISHED SCIENTISTS TO LEAD THE WAY. AND I’M ASKING THEM TO FOCUS ON FIVE KEY AREAS. FIRST THE PANDEMIC AND WHAT WE CAN LEARN ABOUT WHAT IS POSSIBLE OR WHAT SHOULD BE POSSIBLE TO ADDRESS THE WIDEST RANGE OF PUBLIC HEALTH NEEDS. SECONDLY, THE ECONOMY, HOW CAN WE BUILD BACK BETTER TO ENSURE PROSPERITY IS FULLY SHARED ALL ACROSS AMERICA? AMONG ALL AMERICANS? AND THIRDLY, HOW SCIENCE HELPS US CONFRONT THIS CLIMATE CRISIS WE FACE IN AMERICA AND THE WORLD BUT IN AMERICA HOW IT HELPS US CONFRONT THE CLIMATE CRISIS WITH AMERICAN JOBS AND INGENUITY. AND FOURTH, HOW CAN WE ENSURE THE UNITED STATES LEADS THE WORLD IN TECHNOLOGIES AND THE INDUSTRIES THAT THE FUTURE THAT WILL BE CRITICAL FOR OUR ECONOMIC PROSPERITY AND NATIONAL SECURITY? ESPECIALLY WITH THE INTENSE INCREASED COMPETITION AROUND THE WORLD FROM CHINA ON? AND FIFTH, HOW CAN WE ASSURE THE LONG-TERM HEALTH AND TRUST IN SCIENCE AND TECHNOLOGY IN OUR NATION? YOU KNOW, THESE ARE EACH QUESTIONS THAT CALL FOR ACTION. AND I’M HONORED TO ANNOUNCE A TEAM THAT IS ANSWERING THE CALL TO SERVE. AS THE PRESIDENTIAL SCIENCE ADVISOR AND DIRECTOR OF THE OFFICE OF SCIENCE AND TECHNOLOGY POLICY, I NOMINATE ONE OF THE MOST BRILLIANT GUYS I KNOW, PERSONS I KNOW, DR. ERIC LANDER. AND THANK YOU, DOC, FOR COMING BACK. THE PIONEER — HE’S A PIONEER IN THE STIFFING COMMUNITY. PRINCIPAL LEADER IN THE HUMAN GENOME PROJECT. AND NOT HYPERBOLE TO SUGGEST THAT DR. LANDER’S WORK HAS CHANGED THE COURSE OF HUMAN HISTORY. HIS ROLE IN HELPING US MAP THE GENOME PULLED BACK THE CURTAIN ON HUMAN DISEASE, ALLOWING SCIENTISTS, EVER SINCE, AND FOR GENERATIONS TO COME TO EXPLORE THE MOLECULAR BASIS FOR SOME OF THE MOST DEVASTATING ILLNESSES AFFECTING OUR WORLD. AND THE APPLICATION OF HIS PIONEERING WORK AS — ARE POISED TO LEAD TO INCREDIBLE CURES AND BREAKTHROUGHS IN THE YEARS TO COME. DR. LANDER NOW SERVES AS THE PRESIDENT AND FOUNDING DIRECTOR OF THE BRODE INSTITUTE AT M.I.T. AND HARVARD, THE WORLD’S FOREMOST NONPROFIT GENETIC RESEARCH ORGANIZATION. AND I CAME TO APPRECIATE DR. LANDER’S EXTRAORDINARY MIND WHEN HE SERVED AS THE CO-CHAIR OF THE PRESIDENT’S COUNCIL ON ADVISORS AND SCIENCE AND TECHNOLOGY DURING THE OBAMA-BIDEN ADMINISTRATION. AND I’M GRATEFUL, I’M GRATEFUL THAT WE CAN WORK TOGETHER AGAIN. I’VE ALWAYS SAID THAT BIDEN-HARRIS ADMINISTRATION WILL ALSO LEAD AND WE’RE GOING TO LEAD WITH SCIENCE AND TRUTH. WE BELIEVE IN BOTH. [LAUGHTER] GOD WILLING OVERCOME THE PANDEMIC AND BUILD OUR COUNTRY BETTER THAN IT WAS BEFORE. AND THAT’S WHY FOR THE FIRST TIME IN HISTORY, I’M GOING TO BE ELEVATING THE PRESIDENTIAL SCIENCE ADVISOR TO A CABINET RANK BECAUSE WE THINK IT’S THAT IMPORTANT. AS DEPUTY DIRECTOR OF THE OFFICE OF SCIENCE AND TECHNOLOGY POLICY AND SCIENCE AND — SCIENCE AND SOCIETY, I APPOINT DR. NELSON. SHE’S A PROFESSOR AT THE INSTITUTE OF ADVANCED STUDIES AT PRINCETON UNIVERSITY. THE PRESIDENT OF THE SOCIAL SCIENCE RESEARCH COUNCIL. AND ONE OF AMERICA’S LEADING SCHOLARS IN THE — AN AWARD-WINNING AUTHOR AND RESEARCHER AND EXPLORING THE CONNECTIONS BETWEEN SCIENCE AND OUR SOCIETY. THE DAUGHTER OF A MILITARY FAMILY, HER DAD SERVED IN THE UNITED STATES NAVY AND HER MOM WAS AN ARMY CRIPPING TO RAFFER. DR. NELSON DEVELOPED A LOVE OF TECHNOLOGY AT A VERY YOUNG AGE PARTICULARLY WITH THE EARLY COMPUTER PRODUCTS. COMPUTING PRODUCTS AND CODE-BREAKING EQUIPMENT THAT EVERY KID HAS AROUND THEIR HOUSE. AND SHE GREW UP WITHIN HER HOME. WHEN I WROTE THAT DOWN, I THOUGHT TO MYSELF, I MEAN, HOW MANY KIDS — ANY WAY, THAT PASSION WAS A PASSION FORGED A LIFELONG CURIOSITY ABOUT THE INEQUITIES AND THE POWER DIAMONDICS THAT SIT BENEATH THE SURFACE OF SCIENTIFIC RESEARCH AND THE TECHNOLOGY WE BUILD. DR. NELSON IS FOCUSED ON THOSE INSIGHTS. AND THE SCIENCE, TECHNOLOGY AND SOCIETY, LIKE FEW BEFORE HER EVER HAVE IN AMERICAN HISTORY. BREAKING NEW GROUND ON OUR UNDERSTANDING OF THE ROLE SCIENCE PLAYS IN AMERICAN LIFE AND OPENING THE DOOR TO — TO A FUTURE WHICH SCIENCE BETTER SERVES ALL PEOPLE. AS CO-CHAIR OF THE PRESIDENT’S COUNCIL ON ADVISORS OF SCIENCE AND TECHNOLOGY,APPOINT DR. FRANCIS ARNOLD, DIRECTOR OF THE ROSE BIOENGINEERING CENTER AT CALTECH AND ONE OF THE WORLD’S LEADING EXPERTS IN PROTEIN ENGINEERING, A LIFE-LONG CHAMPION OF RENEWABLE ENERGY SOLUTIONS WHO HAS BEEN INDUCTED INTO THE NATIONAL INVENTORS’ HALL OF FAME. THAT AIN’T A BAD PLACE TO BE. NOT ONLY IS SHE THE FIRST WOMAN TO BE ELECTED TO ALL THREE NATIONAL ACADEMIES OF SCIENCE, MEDICINE AND ENGINEERING AND ALSO THE FIRST WOMAN, AMERICAN WOMAN, TO WIN A NOBEL PRIZE IN CHEMISTRY. A VERY SLOW LEARNER, SLOW STARTER, THE DAUGHTER OF PITTSBURGH, SHE WORKED AS A CAB DRIVER, A JAZZ CLUB SERVER, BEFORE MAKING HER WAY TO BERKELEY AND A CAREER ON THE LEADING EDGE OF HUMAN DISCOVERY. AND I WANT TO MAKE THAT POINT AGAIN. I WANT — IF ANY OF YOUR CHILDREN ARE WATCHING, LET THEM KNOW YOU CAN DO ANYTHING. THIS COUNTRY CAN DO ANYTHING. ANYTHING AT ALL. AND SO SHE SURVIVED BREAST CANCER, OVERCAME A TRAGIC LOSS IN HER FAMILY WHILE RISING TO THE TOP OF HER FIELD, STILL OVERWHELMINGLY DOMINATED BY MEN. HER PASSION HAS BEEN A STEADFAST COMMITMENT TO RENEWABLE ENERGY FOR THE BETTERMENT OF OUR PLANET AND HUMANKIND. SHE IS AN INSPIRING FIGURE TO SCIENTISTS ACROSS THE FIELD AND ACROSS NATIONS. AND I WANT TO THANK DR. ARNOLD FOR AGREEING TO CO-CHAIR A FIRST ALL WOMAN TEAM TO LEAD THE PRESIDENT’S COUNCIL OF ADVISORS ON SCIENCE AND TECHNOLOGY WHICH LEADS ME TO THE NEXT MEMBER OF THE TEAM. AS CO-CHAIR, THE PRESIDENT’S COUNCIL OF ADVISORS ON SCIENCE AND TECHNOLOGY, I APPOINT DR. MARIE ZUBER. A TRAIL BLAZER BRAISING GEO PHYSICIST AND PLANETARY SCIENTIST A. FORMER CHAIR OF THE NATIONAL SCIENCE BOARD. FIRST WOMAN TO LEAD THE SCIENCE DEPARTMENT AT M.I.T. AND THE FIRST WOMAN TO LEAD NASA’S ROBOTIC PLANETARY MISSION. GROWING UP IN COLE COUNTRY NOT FAR FROM HEAVEN, SCRANTON, PENNSYLVANIA, IN CARBON COUNTY, PENNSYLVANIA, ABOUT 50 MILES SOUTH OF WHERE I WAS A KID, SHE DREAMED OF EXPLORING OUTER SPACE. COULD HAVE TOLD HER SHE WOULD JUST GO TO GREEN REACH IN SCRANTON AND FIND WHERE IT WAS. AND I SHOULDN’T BE SO FLIPPANT. BUT I’M SO EXCITED ABOUT THESE FOLKS. YOU KNOW, READING EVERY BOOK SHE COULD FIND AND LISTENING TO HER MOM’S STORIES ABOUT WATCHING THE EARLIEST ROCKET LAUNCH ON TELEVISION, MARIE BECAME THE FIRST PERSON IN HER FAMILY TO GO TO COLLEGE AND NEVER LET GO OF HER DREAM. TODAY SHE OVERSEES THE LINCOLN LABORATORY AT M.I.T. AND LEADS THE INSTITUTION’S CLIMATE ACTION PLAN. GROWING UP IN COLD COUNTRY, NOT AND FINALLY, COULD NOT BE HERE TODAY, BUT I’M PLEASED TO ANNOUNCE THAT I’VE HAD A LONG CONVERSATION WITH DR. FRANCIS COLLINS AND COULD NOT BE HERE TODAY. AND I’VE ASKED THEM TO STAY ON AS DIRECTOR OF THE INSTITUTE OF HEALTH AND — AT THIS CRITICAL MOMENT. I’VE KNOWN DR. COLLINS FOR MANY YEARS. I WORKED WITH HIM CLOSELY. HE’S BRILLIANT. A PIONEER. A TRUE LEADER. AND ABOVE ALL, HE’S A MODEL OF PUBLIC SERVICE AND I’M HONORED TO BE WORKING WITH HIM AGAIN. AND IT IS — IN HIS ABSENCE I WANT TO THANK HIM AGAIN FOR BEING WILLING TO STAY ON. I KNOW THAT WASN’T HIS ORIGINAL PLAN. BUT WE WORKED AN AWFUL LOT ON THE MOON SHOT AND DEALING WITH CANCER AND I JUST WANT TO THANK HIM AGAIN. AND TO EACH OF YOU AND YOUR FAMILIES, AND I SAY YOUR FAMILIES, THANK YOU FOR THE WILLINGNESS TO SERVE. AND NOT THAT YOU HAVEN’T BEEN SERVING ALREADY BUT TO SERVE IN THE ADMINISTRATION. AND THE AMERICAN PEOPLE, TO ALL THE AMERICAN PEOPLE, THIS IS A TEAM THAT’S GOING TO HELP RESTORE YOUR FAITH IN AMERICA’S PLACE IN THE FRONTIER OF SCIENCE AND DISCOVER AND HOPE. I’M NOW GOING TO TURN THIS OVER STARTING WITH DR. LANDER, TO EACH OF OUR NOMINEES AND THEN WITH — HEAR FROM THE VICE PRESIDENT. BUT AGAIN, JUST CAN’T THANK YOU ENOUGH AND I REALLY MEAN IT. THANK YOU, THANK YOU, THANK YOU FOR WILLING TO DO THIS. DOCTOR, IT’S ALL YOURS. I BETTER PUT MY MASK ON OR I’M GOING TO GET IN TROUBLE.

 

Director’s Page

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Live Notes, Real Time Conference Coverage 2020 AACR Virtual Meeting April 28, 2020 Symposium: New Drugs on the Horizon Part 3 12:30-1:25 PM

Reporter: Stephen J. Williams, PhD

New Drugs on the Horizon: Part 3
Introduction

Andrew J. Phillips, C4 Therapeutics

  • symposium brought by AACR CICR and had about 30 proposals for talks and chose three talks
  • unfortunately the networking event is not possible but hope to see you soon in good health

ABBV-184: A novel survivin specific T cell receptor/CD3 bispecific therapeutic that targets both solid tumor and hematological malignancies

Edward B Reilly
AbbVie Inc. @abbvie

  • T-cell receptors (TCR) can recognize the intracellular targets whereas antibodies only recognize the 25% of potential extracellular targets
  • survivin is expressed in multiple cancers and correlates with poor survival and prognosis
  • CD3 bispecific TCR to survivn (Ab to CD3 on T- cells and TCR to survivin on cancer cells presented in MHC Class A3)
  • ABBV184  effective in vivo in lung cancer models as single agent;
  • in humanized mouse tumor models CD3/survivin bispecific can recruit T cells into solid tumors; multiple immune cells CD4 and CD8 positive T cells were found to infiltrate into tumor
  • therapeutic window as measured by cytokine release assays in tumor vs. normal cells very wide (>25 fold)
  • ABBV184 does not bind platelets and has good in vivo safety profile
  • First- in human dose determination trial: used in vitro cancer cell assays to determine 1st human dose
  • looking at AML and lung cancer indications
  • phase 1 trial is underway for safety and efficacy and determine phase 2 dose
  • survivin has very few mutations so they are not worried about a changing epitope of their target TCR peptide of choice

The discovery of TNO155: A first in class SHP2 inhibitor

Matthew J. LaMarche
Novartis @Novartis

  • SHP2 is an intracellular phosphatase that is upstream of MEK ERK pathway; has an SH2 domain and PTP domain
  • knockdown of SHP2 inhibits tumor growth and colony formation in soft agar
  • 55 TKIs there are very little phosphatase inhibitors; difficult to target the active catalytic site; inhibitors can be oxidized at the active site; so they tried to target the two domains and developed an allosteric inhibitor at binding site where three domains come together and stabilize it
  • they produced a number of chemical scaffolds that would bind and stabilize this allosteric site
  • block the redox reaction by blocking the cysteine in the binding site
  • lead compound had phototoxicity; used SAR analysis to improve affinity and reduce phototox effects
  • was very difficult to balance efficacy, binding properties, and tox by adjusting stuctures
  • TNO155 is their lead into trials
  • SHP2 expressed in T cells and they find good combo with I/O with uptick of CD8 cells
  • TNO155 is very selective no SHP1 inhibition; SHP2 can autoinhibit itself when three domains come together and stabilize; no cross reactivity with other phosphatases
  • they screened 1.5 million compounds and got low hit rate so that is why they needed to chemically engineer and improve on the classes they found as near hits

Closing Remarks

 

Xiaojing Wang
Genentech, Inc. @genentech

Follow on Twitter at:

@pharma_BI

@AACR

@CureCancerNow

@pharmanews

@BiotechWorld

@HopkinsMedicine

#AACR20

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Live Notes, Real Time Conference Coverage 2020 AACR Virtual Meeting April 27, 2020 Minisymposium on Signaling in Cancer 11:45am-1:30 pm

Reporter: Stephen J. Williams, PhD.

SESSION VMS.MCB01.01 – Emerging Signaling Vulnerabilities in Cancer
April 27, 2020, 11:45 AM – 1:30 PM
Virtual Meeting: All Session Times Are U.S. EDT
DESCRIPTION

All session times are U.S. Eastern Daylight Time (EDT). Access to AACR Virtual Annual Meeting I sessions are free with registration. Register now at http://www.aacr.org/virtualam2020

Session Type

Virtual Minisymposium

Track(s)

Molecular and Cellular Biology/Genetics

16 Presentations
11:45 AM – 1:30 PM
– Chairperson

J. Silvio Gutkind. UCSD Moores Cancer Center, La Jolla, CA

11:45 AM – 1:30 PM
– Chairperson

  • in 80’s and 90’s signaling focused on defects and also oncogene addiction.  Now the field is switching to finding vulnerabilities in signaling cascades in cancer

Adrienne D. Cox. University of North Carolina at Chapel Hill, Chapel Hill, NC

11:45 AM – 11:55 AM
– Introduction

J. Silvio Gutkind. UCSD Moores Cancer Center, La Jolla, CA

11:55 AM – 12:05 PM
1085 – Interrogating the RAS interactome identifies EFR3A as a novel enhancer of RAS oncogenesis

Hema Adhikari, Walaa Kattan, John F. Hancock, Christopher M. Counter. Duke University, Durham, NC, University of Texas MD Anderson Cancer Center, Houston, TX

Abstract: Activating mutations in one of the three RAS genes (HRAS, NRAS, and KRAS) are detected in as much as a third of all human cancers. As oncogenic RAS mediates it tumorigenic signaling through protein-protein interactions primarily at the plasma membrane, we sought to document the protein networks engaged by each RAS isoform to identify new vulnerabilities for future therapeutic development. To this end, we determined interactomes of oncogenic HRAS, NRAS, and KRAS by BirA-mediated proximity labeling. This analysis identified roughly ** proteins shared among multiple interactomes, as well as a smaller subset unique to a single RAS oncoprotein. To identify those interactome components promoting RAS oncogenesis, we created and screened sgRNA library targeting the interactomes for genes modifying oncogenic HRAS-, NRAS-, or KRAS-mediated transformation. This analysis identified the protein EFR3A as not only a common component of all three RAS interactomes, but when inactivated, uniformly reduced the growth of cells transformed by any of the three RAS isoforms. EFR3A recruits a complex containing the druggable phosphatidylinositol (Ptdlns) 4 kinase alpha (PI4KA) to the plasma membrane to generate the Ptdlns species PI4P. We show that EFR3A sgRNA reduced multiple RAS effector signaling pathways, suggesting that EFR3A acts at the level of the oncoprotein itself. As lipids play a critical role in the membrane localization of RAS, we tested and found that EFR3A sgRNA reduced not only the occupancy of RAS at the plasma membrane, but also the nanoclustering necessary for signaling. Furthermore, the loss of oncogenic RAS signaling induced by EFR3A sgRNA was rescued by targeting PI4K to the plasma membrane. Taken together, these data support a model whereby EFR3A recruits PI4K to oncogenic RAS to promote plasma membrane localization and nonclustering, and in turn, signaling and transformation. To investigate the therapeutic potential of this new RAS enhancer, we show that EFR3A sgRNA reduced oncogenic KRAS signaling and transformed growth in a panel of pancreatic ductal adenocarcinoma (PDAC) cell lines. Encouraged by these results we are exploring whether genetically inactivating the kinase activity of PI4KA inhibits oncogenic signaling and transformation in PDAC cell lines. If true, pharmacologically targeting PI4K may hold promise as a way to enhance the anti-neoplastic activity of drugs targeting oncogenic RAS or its effectors.

@DukeU

@DukeMedSchool

@MDAndersonNews

  • different isoforms of ras mutations exist differentially in various tumor types e.g. nras vs kras
  • the C terminal end serve as hotspots of mutations and probably isoform specific functions
  • they determined the interactomes of nras and kras and determined how many candidates are ras specific
  • they overlayed results from proteomic and CRSPR screen; EFR3a was a potential target that stuck out
  • using TCGA patients with higher EFR3a had poorer prognosis
  • EFR3a promotes Ras signaling; and required for RAS driven tumor growth (in RAS addicted tumors?)
  • EGFR3a promotes clustering of oncogenic RAS at plasma membrane

 

12:05 PM – 12:10 PM
– Discussion

12:10 PM – 12:20 PM
1086 – Downstream kinase signaling is dictated by specific KRAS mutations; Konstantin Budagyan, Jonathan Chernoff. Drexel University College of Medicine, Philadelphia, PA, Fox Chase Cancer Center, Philadelphia, PA @FoxChaseCancer

Abstract: Oncogenic KRAS mutations are common in colorectal cancer (CRC), found in ~50% of tumors, and are associated with poor prognosis and resistance to therapy. There is substantial diversity of KRAS alleles observed in CRC. Importantly, emerging clinical and experimental analysis of relatively common KRAS mutations at amino acids G12, G13, A146, and Q61 suggest that each mutation differently influences the clinical properties of a disease and response to therapy. For example, KRAS G12 mutations confer resistance to EGFR-targeted therapy, while G13D mutations do not. Although there is clinical evidence to suggest biological differences between mutant KRAS alleles, it is not yet known what drives these differences and whether they can be exploited for allele-specific therapy. We hypothesized that different KRAS mutants elicit variable alterations in downstream signaling pathways. To investigate this hypothesis, we created a novel system by which we can model KRAS mutants in isogenic mouse colon epithelial cell lines. To generate the cell lines, we developed an assay using fluorescent co-selection for CRISPR-driven genome editing. This assay involves simultaneous introduction of single-guide RNAs (sgRNAs) to two different endogenous loci resulting in double-editing events. We first introduced Cas9 and blue fluorescent protein (BFP) into mouse colon epithelial cell line containing heterozygous KRAS G12D mutation. We then used sgRNAs targeting BFP and the mutant G12D KRAS allele along with homology-directed repair (HDR) templates for a GFP gene and a KRAS mutant allele of our choice. Cells that successfully undergo HDR are GFP-positive and contain the desired KRAS mutation. Therefore, selection for GFP-positive cells allows us to identify those with phenotypically silent KRAS edits. Ultimately, this method allows us to toggle between different mutant alleles while preserving the wild-type allele, all in an isogenic background. Using this method, we have generated cell lines with endogenous heterozygous KRAS mutations commonly seen in CRC (G12D, G12V, G12C, G12R, G13D). In order to elucidate cellular signaling pathway differences between the KRAS mutants, we screened the mutated cell lines using a small-molecule library of ~160 protein kinase inhibitors. We found that there are mutation-specific differences in drug sensitivity profiles. These observations suggest that KRAS mutants drive specific cellular signaling pathways, and that further exploration of these pathways may prove to be valuable for identification of novel therapeutic opportunities in CRC.

  • Flourescent coselection of KRAS edits by CRSPR screen in a colorectal cancer line; a cell that is competent to undergo HR can undergo combination multiple KRAS
  • target only mutant allele while leaving wild type intact;
  • it was KRAS editing event in APC  +/- mouse cell line
  • this enabled a screen for kinase inhibitors that decreased tumor growth in isogenic cell lines; PKC alpha and beta 1 inhibitors, also CDK4 inhibitors inhibited cell growth
  • questions about heterogeneity in KRAS clones; they looked at off target guides and looked at effects in screens; then they used top two clones that did not have off target;  questions about 3D culture- they have not done that; Question ? dependency on AKT activity? perhaps the G12E has different downstream effectors

 

12:20 PM – 12:25 PM
– Discussion

12:25 PM – 12:35 PM
1087 – NF1 regulates the RAS-related GTPases, RRAS and RRAS2, independent of RAS activity; Jillian M. Silva, Lizzeth Canche, Frank McCormick. University of California, San Francisco, San Francisco, CA @UCSFMedicine

Abstract: Neurofibromin, which is encoded by the neurofibromatosis type 1 (NF1) gene, is a tumor suppressor that acts as a RAS-GTPase activating protein (RAS-GAP) to stimulate the intrinsic GTPase activity of RAS as well as the closely related RAS subfamily members, RRAS, RRAS2, and MRAS. This results in the conversion of the active GTP-bound form of RAS into the inactive GDP-bound state leading to the downregulation of several RAS downstream effector pathways, most notably MAPK signaling. While the region of NF1 that regulates RAS activity represents only a small fraction of the entire protein, a large extent of the NF1 structural domains and their corresponding mechanistic functions remain uncharacterized despite the fact there is a high frequency of NF1 mutations in several different types of cancer. Thus, we wanted to elucidate the underlying biochemical and signaling functions of NF1 that are unrelated to the regulation of RAS and how loss of these functions contributes to the pathogenesis of cancer. To accomplish this objective, we used CRISPR-Cas9 methods to knockout NF1 in an isogenic “RASless” MEF model system, which is devoid of the major oncogenic RAS isoforms (HRAS, KRAS, and NRAS) and reconstituted with the KRAS4b wild-type or mutant KRASG12C or KRASG12D isoform. Loss of NF1 led to elevated RAS-GTP levels, however, this increase was not as profound as the levels in KRAS-mutated cells or provided a proliferative advantage. Although ablation of NF1 resulted in sustained activation of MAPK signaling, it also unexpectedly, resulted in a robust increase in AKT phosphorylation compared to KRAS-mutated cells. Surprisingly, loss of NF1 in KRAS4b wild-type and KRAS-mutated cells potently suppressed the RAS-related GTPases, RRAS and RRAS2, with modest effects on MRAS, at both the transcript and protein levels. A Clariom™D transcriptome microarray analysis revealed a significant downregulation in the NF-κB target genes, insulin-like growth factor binding protein 2 (IGFBP2), argininosuccinate synthetase 1 (ASS1), and DUSP1, in both the NF1 knockout KRAS4b wild-type and KRAS-mutated cells. Moreover, NF1Null melanoma cells also displayed a potent suppression of RRAS and RRAS2 as well as these NF-κB transcription factors. Since RRAS and RRAS2 both contain the same NF-κB transcription factor binding sites, we hypothesize that IGFBP2, ASS1, and/or DUSP1 may contribute to the NF1-mediated regulation of these RAS-related GTPases. More importantly, this study provides the first evidence of at least one novel RAS-independent function of NF1 to regulate the RAS-related subfamily members, RRAS and RRAS2, in a manner exclusive of its RAS-GTPase activity and this may provide insight into new potential biomarkers and molecular targets for treating patients with mutations in NF1.
  • NF1 and SPRED work together to signal from RTK cKIT through RAS
  • NF1 knockout cells had higher KRAS and had increased cell proliferation
  • NF1 -/-  or SPRED loss had increased ERK phosphorylation and some increase in AKT activity compared to parental cells
  • they used isogenic cell lines devoid of all RAS isoforms and then reconstituted with specific RAS WT or mutants
  • NF1 and SPRED KO both reduce RRAS expression; in an AKT independent mannner
  • NF1 SPRED KO cells have almost no IGFBP2 protein expression and SNAIL so maybe affecting EMT?
  • this effect is independent of its RAS GTPAse activity (noncanonical)

12:35 PM – 12:40 PM
– Discussion

12:40 PM – 12:50 PM
1088 – Elucidating the regulation of delayed-early gene targets of sustained MAPK signaling; Kali J. Dale, Martin McMahon. University of Utah, Salt Lake City, UT, Huntsman Cancer Institute, Salt Lake City, UT

Abstract: RAS and its downstream effector, BRAF, are commonly mutated proto-oncogenes in many types of human cancer. Mutationally activated RAS or BRAF signal through the MEK→ERK MAP kinase (MAPK) pathway to regulate key cancer cell hallmarks such as cell division cycle progression, reduced programmed cell death, and enhanced cell motility. Amongst the list of RAS/RAF-regulated genes are those encoding integrins, alpha-beta heterodimeric transmembrane proteins that regulate cell adhesion to the extracellular matrix. Altered integrin expression has been linked to the acquisition of more aggressive behavior by melanoma, lung, and breast cancer cells leading to diminished survival of cancer patients. We have previously documented the ability of the RAS-activated MAPK pathway to induce the expression of ITGB3 encoding integrin β3 in several different cell types. RAS/RAF-mediated induction of ITGB3 mRNA requires sustained, high-level activation of RAF→MEK→ERK signaling mediated by oncogene activation and is classified as “delayed-early”, in that it is sensitive to the protein synthesis inhibitor cycloheximide. However, to date, the regulatory mechanisms that allow for induced ITGB3 downstream of sustained, high-level activation of MAPK signaling remains obscure. We have identified over 300 DEGs, including those expressing additional cell surface proteins, that display similar regulatory characteristics as ITGB3. We use integrin β3 as a model to test our hypothesis that there is a different mechanism of regulation for delayed-early genes (DEG) compared to the canonical regulation of Immediate-Early genes. There are three regions in the chromatin upstream of the ITGB3 that become more accessible during RAF activation. We are relating the chromatin changes seen during RAF activation to active enhancer histone marks. To elucidate the essential genes of this regulation process, we are employing the use of a genome-wide CRISPR knockout screen. The work presented from this abstract will help elucidate the regulatory properties of oncogenic progression in BRAF mutated cancers that could lead to the identification of biomarkers.

12:50 PM – 12:55 PM
– Discussion

12:55 PM – 1:05 PM
1090 – Regulation of PTEN translation by PI3K signaling maintains pathway homeostasis

Radha Mukherjee, Kiran Gireesan Vanaja, Jacob A. Boyer, Juan Qiu, Xiaoping Chen, Elisa De Stanchina, Sarat Chandarlapaty, Andre Levchenko, Neal Rosen. Memorial Sloan Kettering Cancer Center, New York, NY, Yale University, West Haven, CT, Memorial Sloan Kettering Cancer Center, New York, NY, Memorial Sloan Kettering Cancer Center, New York, NY @sloan_kettering

Abstract: The PI3K pathway is a key regulator of metabolism, cell proliferation and migration and some of its components (e.g. PIK3CA and PTEN) are frequently altered in cancer by genetic events that deregulate its output. However, PI3K signaling is not usually the primary driver of these tumors and inhibitors of components of the pathway have only modest antitumor effects. We now show that both physiologic and oncogenic activation of the PI3K signaling by growth factors and an activating hotspot PIK3CA mutation respectively, cause an increase in the expression of the lipid phosphatase PTEN, thus limiting the duration of the signal and the output of the pathway in tumors. Pharmacologic and physiologic inhibition of the pathway by HER2/PI3K/AKT/mTOR inhibitors and nutrient starvation respectively reduce PTEN, thus buffering the effects of inhibition and contributing to the rebound in pathway activity that occurs in tumors. This regulation is found to be a feature of multiple types of cancer, non-cancer cell line and PDX models thereby highlighting its role as a key conserved feedback loop within the PI3K signaling network, both in vitro and in vivo. Regulation of expression is due to mTOR/4EBP1 dependent control of PTEN translation and is lost when 4EBP1 is knocked out. Translational regulation of PTEN is therefore a major homeostatic regulator of physiologic PI3K signaling and plays a role in reducing the output of oncogenic mutants that deregulate the pathway and the antitumor activity of PI3K pathway inhibitors.

  • mTOR can be a potent regulator of PTEN and therefore a major issue when developing PI3K inhibitors

1:05 PM – 1:10 PM
– Discussion

1:10 PM – 1:20 PM
1091 – BI-3406 and BI 1701963: Potent and selective SOS1::KRAS inhibitors induce regressions in combination with MEK inhibitors or irinotecan

Daniel Gerlach, Michael Gmachl, Juergen Ramharter, Jessica Teh, Szu-Chin Fu, Francesca Trapani, Dirk Kessler, Klaus Rumpel, Dana-Adriana Botesteanu, Peter Ettmayer, Heribert Arnhof, Thomas Gerstberger, Christiane Kofink, Tobias Wunberg, Christopher P. Vellano, Timothy P. Heffernan, Joseph R. Marszalek, Mark Pearson, Darryl B. McConnell, Norbert Kraut, Marco H. Hofmann. Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria, The University of Texas MD Anderson Cancer Center, Houston, TX, The University of Texas MD Anderson Cancer Center, Houston, TX, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria

  • there is rational for developing an SOS1 inhibitor (GEF); BI3406 shows better PK and PD as a candidate
  • most sensitive cell lines to inhibitor carry KRAS mutation; NRAS or BRAF mutations are not sensititve
  • KRAS mutation defines sensitivity so they created KRAS mut isogenic cell lines
  • found best to co inhibit SOS and MEK as observed plasticity with only SOS
  • dual combination in lung NSCLC pancreatic showed enhanced efficacy compared to monotherapy
  • SOS1 inhibition plus irinotecan enhances DNA double strand breaks; no increased DNA damage in normal stroma but preferentially in tumor cells
  • these SOS1 had broad activity against KRAS mutant models;
  • phase 1 started in 2019;

@Boehringer

1:20 PM – 1:25 PM
– Discussion

1:25 PM – 1:30 PM
– Closing Remarks

Adrienne D. Cox. University of North Carolina at Chapel Hill, Chapel Hill, NC

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