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Archive for the ‘Genomic Testing: Methodology for Diagnosis’ Category

Real Time Coverage and eProceedings of Presentations on 9/19-9/21 @CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

Curator: Aviva Lev-Ari, PhD, RN

2.1.5.11

2.1.5.11   Real Time Coverage and eProceedings of Presentations on 9/19-9/21 @CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair

LIVE 9/19 8AM – 10AM USING CRISPR/Cas9 FOR FUNCTIONAL SCREENING at CHI’s 2nd Annual Symposium CRISPR: Mechanisms and Applications @CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/19/live-919-8am-10am-using-crisprcas9-for-functional-screening-at-chis-2nd-annual-symposium-crispr-mechanisms-and-applications-chis-14th-discovery-on-target-919-9222/

LIVE 9/19 9:40 – noon CRISPR Engineering Lymphoma Lines & Will Interference from CRISPR Silence RNAi? CHI’s 2nd Annual Symposium CRISPR: Mechanisms and Applications @ CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/19/live-919-940-noon-crispr-engineering-lymphoma-lines-will-interference-from-crispr-silence-rnai-chis-2nd-annual-symposium-crispr-mechanisms-and-applications-chis-14th/

LIVE 9/19 1:40 – 3:20 EMERGING APPLICATIONS OF CRISPR/CAS9 at CHI’s 2nd Annual Symposium CRISPR: Mechanisms and Applications @ CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/19/live-919-140-320-emerging-applications-of-crisprcas9-at-chis-2nd-annual-symposium-crispr-mechanisms-and-applications-chis-14th-discovery-on-target-919-9222016/

LIVE 9/19 4PM – 5:30PM NK CELL-BASED CANCER IMMUNOTHERAPY @CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/19/live-919-4pm-530pm-nk-cell-based-cancer-immunotherapy-chis-14th-discovery-on-target-919-9222016-westin-boston-waterfront-boston/

LIVE 9/20 8AM to noon GENE THERAPIES BREAKTHROUGHS at CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/20/live-920-8am-to-noon-gene-therapies-breakthroughs-at-chis-14th-discovery-on-target-919-9222016-westin-boston-waterfront-boston/

LIVE 9/20 2PM to 5:30PM New Viruses for Therapeutic Gene Delivery at CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/20/live-920-2pm-to-530pm-new-viruses-for-therapeutic-gene-delivery-at-chis-14th-discovery-on-target-919-9222016-westin-boston-waterfront-boston/

LIVE 9/21 8AM to 10:55 AM Expoloring the Versatility of CRISPR/Cas9 at CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/21/live-921-8am-to-1055-am-expoloring-the-versatility-of-crisprcas9-at-chis-14th-discovery-on-target-919-9222016-westin-boston-waterfront-boston/

LIVE 9/21 8AM to 2:40PM Targeting Cardio-Metabolic Diseases: A focus on Liver Fibrosis and NASH Targets at CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/21/live-921-8am-to-240pm-targeting-cardio-metabolic-diseases-a-focus-on-liver-fibrosis-and-nash-targets-at-chis-14th-discovery-on-target-919-9222016-westin-boston-waterfront-b/

LIVE 9/21 12:50 pm Plenary Keynote Program at CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/21/live-921-1250-pm-plenary-keynote-program-at-chis-14th-discovery-on-target-919-9222016-westin-boston-waterfront-boston/

LIVE 9/21 3:20PM to 6:40PM KINASE INHIBITORS FOR CANCER IMMUNOTHERAPY COMBINATIONS & KINASE INHIBITORS FOR AUTOIMMUNE AND INFLAMMATORY DISEASES at CHI’s 14th Discovery On Target, 9/19 – 9/22/2016, Westin Boston Waterfront, Boston

https://pharmaceuticalintelligence.com/2016/09/21/live-921-320pm-to-640pm-kinase-inhibitors-for-cancer-immunotherapy-combinations-kinase-inhibitors-for-autoimmune-and-inflammatory-diseases-at-chis-14th-discovery-on-target-919/

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Immuno-Therapy Strategies on BioMarker’s cutoff value for defining PD-L1 positive/negative patients: First-line and Second-line setting – FDA stand on BMS’s “Test-free Prescribing” in Opdivo (nivolumab) vs Merck’s “Companion Diagnostic” in Keytruda (pembrolizumab) vs Genetech’s “Complementary Diagnostics” and “Companion Diagnostic”?? in Tecentriq (atezolizumab)

Reporter: Aviva Lev-Ari, PhD, RN

 

UPDATED on 3/11/2019

Roche’s I-O drug Tecentriq picks up key first-in-class breast cancer nod

In a first for the immuno-oncology field, Roche’s Tecentriq has a big new approval in breast cancer. And once again, the Swiss drugmaker has nabbed a piece of the immuno-oncology market all for itself.

On Monday, the FDA greenlighted the immuno-oncology drug, in combination with Celgene chemo drug Abraxane, as a treatment for patients with triple-negative breast cancer (TNBC) whose tumors express the protein PD-L1. The go-ahead makes it the first immunotherapy regimen cleared in TNBC—and in breast cancer in general.

Regulators based their positive decision on data presented last fall that showed that adding Tecentriq to Abraxane in newly diagnosed patients could pare down the risk of disease worsening or death by 20%. The duo staved off progression by a median 7.2 months, compared with 5.5 months for Abraxane on its own.

Now, Roche will lead the way in TNBC without market competition from its PD-1/PD-L1 nemeses—at least for now. Tecentriq’s other two therapy areas, bladder cancer and lung cancer, are ultracrowded, thanks to drugs such as Merck’s Keytruda and Bristol-Myers Squibb’s Opdivo, both of which hit the scene before Tecentriq did.

“The response from the physician community has been phenomenal,” Amreen Husain, M.D., global development team leader for Roche immuno-oncology, said in an October interview.

RELATED: ESMO: Roche’s Tecentriq posts ‘unprecedented’ benefit in triple-negative breast cancer

But when it comes to breast cancer, Roche is used to leading the way, and the company will no doubt lean on its marketing expertise—gleaned through years selling drugs like Herceptin and, more recently, Perjeta and Kadcyla—to get Tecentriq off the ground.

RELATED: Can Kadcyla give Roche a softer landing when Herceptin biosims hit? New data could help

Meanwhile, the approval is an exciting one for doctors and patients who’ve battled the notoriously tough-to-treat disease for years with few good options.

SOURCE

 

UPDATED on 2/14/2019

Dive Insight:

Checkpoint inhibitors like Merck’s Keytruda (pembrolizumab) have changed cancer care across a number of tumor types, but none are currently approved for prostate cancer. Neither are any of three PARP inhibitors currently on the U.S. market for ovarian and breast cancers.

Merck hopes to change that through these late-stage studies, pairing Keytruda with the PARP inhibitor Lynparza (olaparib), chemotherapy and approved prostate cancer agent Xtandi (enzalutamide).

Patients with mCRPC pose a particular challenge to treat. Metastatic cancer has spread to other parts of the body, while castration-resistant tumors have continued to grow despite surgery or treatment to lower the amount of male sex hormones, or androgens, that typically drive prostate cancer.

Current treatment options for this type of prostate cancer are led by Zytiga (abiraterone acetate), a Johnson & Johnson drug now facing generic competition, and Pfizer and Astellas’ Xtandi.

Merck’s Phase 1b/2 study tested four Keytruda combinations, pairing the immunotherapy with both of those current treatment options as well as with chemotherapy and with Lynparza, which is jointly owned by AstraZeneca and Merck.

Results presented Thursday came from a small number of patients, but showed some positive responses in previously treated patients.

SOURCE

https://www.biopharmadive.com/news/merck-plans-trio-of-phase-3-keytruda-studies-in-prostate-cancer/548466/

 

UPDATED on 5/1/2018

Dive Insight:

While both Keytruda and Opdivo won initial U.S. approval just months apart in 2014, Bristol-Myers’ drug saw much faster sales growth to start. Securing OKs in first-line lung cancer has been Merck’s ticket to catching Bristol-Myers, and Keytruda sales in the first quarter were roughly even with Opdivo’s.

Merck expects the success of its KEYNOTE-189 study will further drive uptake of Keytruda as a first-line treatment for advanced NSCLC. Results, presented last month at the annual meeting of the American Association of Cancer Research, showed a combination of Keytruda and chemotherapy cut the risk of death in half compared to chemotherapy alone.

Importantly, data supported the combination’s benefit across varying levels of PD-L1 expression , a biomarker used to identify patients most likely to respond to immunotherapy. Merck previously won a conditional approval for the combo from a smaller study, but physicians have been hesitant to broadly prescribe without further data.

Now, impressive results in hand, Merck hopes more doctors will prescribe Keytruda plus chemotherapy to NSCLC patients with PD-L1 expression levels below 50% or even below 1% — patient populations currently not served by Keytruda monotherapy.

SOURCE

https://www.biopharmadive.com/news/merck-keytruda-immunotherapy-lead-q1-earnings-pipeline/522513/

UPDATED on 3/26/2018

Gaining steam in PD-1/L1 race, Roche reports positive PhIII OS data on Tecentriq combo in NSCLC

by brittany meiling — on March 26, 2018 06:29 AM EDT

https://endpts.com/gaining-steam-in-pd-1-l1-race-roche-reports-positive-phiii-os-data-on-tecentriq-combo-in-nsclc/?utm_medium=email&utm_campaign=Monday%20March%2026%202018&utm_content=Monday%20March%2026%202018+CID_12d9cbde6620f32af9d31d31236c94c4&utm_source=ENDPOINTS%20emails&utm_term=Gaining%20steam%20in%20PD-1L1%20race%20Roche%20reports%20positive%20PhIII%20OS%20data%20on%20Tecentriq%20combo%20in%20NSCLC

 

UPDATED on 3/20/2018

In a phase 3 study, Roche’s Tecentriq combined with chemo beat out solo chemo at cutting the risk of disease worsening or death in previously untreated patients with the squamous form of the disease. As of now, researchers haven’t seen evidence of a benefit to overall survival, but the trial, dubbed IMpower131, is continuing to collect that data.

The results hand Roche the chance to nab a first-to-market lead in the front-line squamous setting. Squamous NSCLC affects just 25% to 30% of all NSCLC patients, but it’s more complicated, and patients have fewer treatment options than those with non-squamous NSCLC, Jefferies analyst Ian Hilliker wrote in a note to clients. Hilliker predicts $1.1 billion in peak sales for Tecentriq in that set of patients.

SOURCE

https://www.fiercepharma.com/pharma/roche-s-tecentriq-triumphs-squamous-lung-cancer-can-it-make-its-mark-against-merck?mkt_tok=eyJpIjoiTlRrM09UQTFNVFEzTjJRNCIsInQiOiJNUnhJMThFZGw5ZERKS1N3Q3dQbGg2dmE1NHhTSFhYZjcycVdMcTAwaTZ1cWxZV3ZJQStqZXJZb0lJUkowNmdXZVk1dnFCc1hVVUlSZitWZ2pPMlJYc25VUXVXY0JxeDdYbUw2XC9uOHgzYWNFb3lObGhrTXd6T25IRWFoTTZTZXcifQ%3D%3D&mrkid=993697

 

UPDATED on 11/21/2017

Roche Cancer Drug Rises To Challenge Merck, Bristol-Myers

Roche’s study had three arms. All patients received carboplatin and paclitaxel, the cancer drug once sold as Taxol. The control group also received Avastin, one of Roche’s best-selling cancer drugs. Then two groups got Tecentriq, one with Avastin and one without. What Roche has announced today is that the Avastin-Tecentriq-chemotherapy combination did better than Avastin and chemotherapy alone, and that the survival results so far are “encouraging.” That leaves a big question: how are the patients who got Tecentriq, but not Avastin, doing?

SOURCE

https://www.forbes.com/sites/matthewherper/2017/11/20/roche-cancer-drug-rises-to-challenge-merck-bristol-myers/#1a08271b52a8

 

UPDATED on 7/25/2017

Close to a year after Merck $MRK won an accelerated FDA OK to use its PD-1 checkpoint star Keytruda for treating second-line cases head and neck squamous cell carcinoma in combination with platinum-containing chemo, the pharma giant announced that its big Phase III study for that indication failed.

The pivotal KEYNOTE-040 trial failed to meet the primary endpoint on overall survival in comparing the blockbuster checkpoint against standard therapies, the pharma giant reported. But the current approval stands nevertheless, Merck said in a statement.

“The company noted that the FDA remains comfortable with the drug’s current accelerated approval in this indication despite the trial results,” observed Leerink’s Seamus Fernandez. “Importantly, Keytruda appears to have another shot on goal for full approval in H&N cancer, as the Keynote-048 study in first-line patients could, if positive, serve as the confirmatory trial.”

SOURCE

https://endpts.com/merck-hit-with-another-late-stage-setback-on-checkpoint-star-keytruda/?utm_medium=email&utm_campaign=Tuesday%20%20July%2025%202017&utm_content=Tuesday%20%20July%2025%202017+CID_15fd9125b2763ceaf79f421345542d44&utm_source=ENDPOINTS%20emails&utm_term=Merck%20hit%20with%20another%20late-stage%20setback%20on%20checkpoint%20star%20Keytruda

UPDATED on 5/11/2017

Merck increases grip on its lead in lung cancer, winning approval for Keytruda/chemo combo as first-line therapy

UPDATED on 5/10/2017

Roche’s shocking Tecentriq fail raises red flag for bladder cancer rivals

Roche’s Tecentriq wasn’t supposed to fail its phase 3 trial in second-line bladder cancer. But that’s what it just did—and the data shortfall not only endangers the drug’s conditional FDA approval, but could augur trouble ahead for other checkpoint inhibitors that followed Tecentriq into the field.

Tecentriq, approved last year on the basis of phase 2 data showing a durable response to the drug, failed to prove it could actually prolong patients’ lives, the company said Wednesday. The bladder cancer indication, Tecentriq’s first, accounts for about 70% of the med’s current sales, analysts say, and the FDA could well decide to strike that approval off the drug’s label.

“[W]e assume that this will put this indication at risk of being removed from the label,” Leerink analyst Seamus Fernandez wrote Wednesday morning, noting that the results were unexpected. “This comes as a surprise to us, considering Merck’s Keytruda showed an overall survival benefit.”

SOURCE

http://www.fiercepharma.com/pharma/roche-s-shocking-tecentriq-fail-raises-red-flag-for-bladder-cancer-rivals?utm_medium=nl&utm_source=internal&mrkid=993697&mkt_tok=eyJpIjoiTVRCbFltUXpZMk0wTURRMCIsInQiOiIydnRsZ0xzT3prd3EzYVNoV0xyT1ZCWnFCaDFScVdwd1dyMmpMZjQycU9zOEVJSTVZalY5dHNyQ1E0XC96eXhadkpRSE5JRGoydHNzNFA2WUVaRzRVbUxmNmhicVZ4YkE3c1NmNkhoSUxBK0VmU2dUM3FBWEhrOFp2UHoySXhrUUEifQ%3D%3D

UPDATED on 4/13/2017

World’s Top Ten Cancer Drugs by 2020  (million USD)

https://pharmaceuticalintelligence.com/2017/04/13/worlds-top-ten-cancer-drugs-by-2020-million-usd/

Opdivo Setback May Yield Lessons for Pharma Advancing Immunotherapies With PD-L1 Testing

https://www.genomeweb.com/molecular-diagnostics/opdivo-setback-may-yield-lessons-pharma-advancing-immunotherapies-pd-l1

UPDATED on 10/9/2016

Opdivo (nivolumab) Shows Durable Response in Longest Follow-up for a PD-1 Inhibitor in Previously Treated Advanced Non-Small Cell Lung Cancer

BMY

Opdivo (nivolumab) Shows Durable Response in Longest Follow-up for a PD-1 Inhibitor in Previously Treated Advanced Non-Small Cell Lung Cancer

Updated data from CheckMate -057 and -017 show Opdivo-treated patients had tripled the duration of response compared to those treated with docetaxel, with a minimum follow-up of two years

In CheckMate -057, durable responses and complete responses were observed with Opdivo in both PD-L1 expressors and non-expressors

Patient-reported outcomes from CheckMate -057 show favorable overall health status with Opdivo versus docetaxel in previously treated advanced non-small cell lung cancer patients

Bristol-Myers Squibb Company (NYSE: BMY) announced today updated results from two pivotal Phase 3 studies, CheckMate -057 and CheckMate -017, which showed more than one-third of previously treated metastatic non-small cell lung cancer (NSCLC) patients in both trials experienced ongoing responses with Opdivo, compared to no ongoing responses in the docetaxel arm. The median duration of response (DOR) with Opdivo versus docetaxel in CheckMate -057 was 17.2 months (95% CI: 8.4, NE) and 5.6 months (95% CI: 4.4, 6.9), respectively, and in CheckMate -017 it was 25.2 months (95% CI: 9.8, 30.4) and 8.4 months (95% CI: 8.4, NE), respectively. In CheckMate -057, patients with PD-L1 ≥1% had a median DOR of 17.2 months (95% CI: 8.4, NE) and in patients with PD-L1 <1%, it was 18.3 months (95% CI: 5.5, NE). In both studies, durability of response was observed in both PD-L1 expressors and non-expressors, and in CheckMate -057, one out of the four complete responses occurred in a patient with <1% PD-L1 expression.

There were no new safety signals identified for Opdivo in the pooled safety analysis from both studies. No new treatment-related deaths occurred between one and two years’ minimum follow-up despite the longer treatment exposure, and new events were observed in 11/418 patients with an additional one year of follow up.

These findings were presented today, October 9, during a poster discussion session at the 2016 European Society for Medical Oncology Congress from 3:46-4:06 p.m. CEST (Abstract #1215PD).

“Further evaluation of Opdivo in previously treated non-small cell lung cancer showed continued superior survival and the potential for durable responses compared to docetaxel across histologies in this patient population,” said Martin Reck, M.D., Ph.D., head of thoracic oncology at the Hospital Grosshansdorf. “Notably, the median duration of response with Opdivo was more than three times that observed with docetaxel.”

Read more at

http://www.stockhouse.com/news/press-releases/2016/10/09/opdivo-nivolumab-shows-durable-response-in-longest-follow-up-for-a-pd-1#QVs566rlK9JKSMC8.99

UPDATED on 9/25/2016

Genentech dives into mRNA, betting $310M on BioNTech’s personalized cancer vaccine tech

For a review of all the complexities involved in the emerging market for BioMarkers in Immuno-Therapy, see

Opdivo Setback May Yield Lessons for Pharma Advancing Immunotherapies With PD-L1 Testing

https://www.genomeweb.com/molecular-diagnostics/opdivo-setback-may-yield-lessons-pharma-advancing-immunotherapies-pd-l1

PD-L1 testing as part of the tumor profiling workup for patients. Diaceutics’ surveys show a sharp uptick in the number of labs offering PD-L1 testing over the past year-and-a-half and 52 labs in the US offer at least one PD-L1 test. The company also reviewed biomarkers being studied in 95 Phase II/III NSCLC, and found that approximately half are incorporating patients’ PD-L1 status either alone or in combination with other markers, such as EGFR and ALK mutations.

At Cancer Genetics over the past year, there has also been a notable ramp up in orders for PD-L1 testing for lung cancer patients, but also for melanoma and head and neck cancer patients.

Labs are also challenged by having to decide whether to invest in validating and offering all four FDA-approved PD-L1 tests. “If you look from a laboratory perspective, in the ideal world, you need one test, and clear instructions about the algorithm and cutoff values to assign patients to treatment,” Braendle said. “Four different tests creates quite a confusing situation for the labs and the physicians.”

SOURCES

Diaceutics Group Report Reveals Significant Real-Time PD-L1 Testing Gaps in the US

http://www.diaceutics.com/diaceutics-group-report-reveals-significant-real-time-pd-l1-testing-gaps-in-the-us-3/

 

Opdivo Setback May Yield Lessons for Pharma Advancing Immunotherapies With PD-L1 Testing

https://www.genomeweb.com/molecular-diagnostics/opdivo-setback-may-yield-lessons-pharma-advancing-immunotherapies-pd-l1

 

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Milestones in Physiology & Discoveries in Medicine and Genomics: Request for Book Review Writing on Amazon.com

physiology-cover-seriese-vol-3individualsaddlebrown-page2

Milestones in Physiology

Discoveries in Medicine, Genomics and Therapeutics

Patient-centric Perspective 

http://www.amazon.com/dp/B019VH97LU 

2015

 

 

Author, Curator and Editor

Larry H Bernstein, MD, FCAP

Chief Scientific Officer

Leaders in Pharmaceutical Business Intelligence

Larry.bernstein@gmail.com

Preface

Introduction 

Chapter 1: Evolution of the Foundation for Diagnostics and Pharmaceuticals Industries

1.1  Outline of Medical Discoveries between 1880 and 1980

1.2 The History of Infectious Diseases and Epidemiology in the late 19th and 20th Century

1.3 The Classification of Microbiota

1.4 Selected Contributions to Chemistry from 1880 to 1980

1.5 The Evolution of Clinical Chemistry in the 20th Century

1.6 Milestones in the Evolution of Diagnostics in the US HealthCare System: 1920s to Pre-Genomics

 

Chapter 2. The search for the evolution of function of proteins, enzymes and metal catalysts in life processes

2.1 The life and work of Allan Wilson
2.2  The  evolution of myoglobin and hemoglobin
2.3  More complexity in proteins evolution
2.4  Life on earth is traced to oxygen binding
2.5  The colors of life function
2.6  The colors of respiration and electron transport
2.7  Highlights of a green evolution

 

Chapter 3. Evolution of New Relationships in Neuroendocrine States
3.1 Pituitary endocrine axis
3.2 Thyroid function
3.3 Sex hormones
3.4 Adrenal Cortex
3.5 Pancreatic Islets
3.6 Parathyroids
3.7 Gastointestinal hormones
3.8 Endocrine action on midbrain
3.9 Neural activity regulating endocrine response

3.10 Genomic Promise for Neurodegenerative Diseases, Dementias, Autism Spectrum, Schizophrenia, and Serious Depression

 

Chapter 4.  Problems of the Circulation, Altitude, and Immunity

4.1 Innervation of Heart and Heart Rate
4.2 Action of hormones on the circulation
4.3 Allogeneic Transfusion Reactions
4.4 Graft-versus Host reaction
4.5 Unique problems of perinatal period
4.6. High altitude sickness
4.7 Deep water adaptation
4.8 Heart-Lung-and Kidney
4.9 Acute Lung Injury

4.10 Reconstruction of Life Processes requires both Genomics and Metabolomics to explain Phenotypes and Phylogenetics

 

Chapter 5. Problems of Diets and Lifestyle Changes

5.1 Anorexia nervosa
5.2 Voluntary and Involuntary S-insufficiency
5.3 Diarrheas – bacterial and nonbacterial
5.4 Gluten-free diets
5.5 Diet and cholesterol
5.6 Diet and Type 2 diabetes mellitus
5.7 Diet and exercise
5.8 Anxiety and quality of Life
5.9 Nutritional Supplements

 

Chapter 6. Advances in Genomics, Therapeutics and Pharmacogenomics

6.1 Natural Products Chemistry

6.2 The Challenge of Antimicrobial Resistance

6.3 Viruses, Vaccines and immunotherapy

6.4 Genomics and Metabolomics Advances in Cancer

6.5 Proteomics – Protein Interaction

6.6 Pharmacogenomics

6.7 Biomarker Guided Therapy

6.8 The Emergence of a Pharmaceutical Industry in the 20th Century: Diagnostics Industry and Drug Development in the Genomics Era: Mid 80s to Present

6.09 The Union of Biomarkers and Drug Development

6.10 Proteomics and Biomarker Discovery

6.11 Epigenomics and Companion Diagnostics

 

Chapter  7

Integration of Physiology, Genomics and Pharmacotherapy

7.1 Richard Lifton, MD, PhD of Yale University and Howard Hughes Medical Institute: Recipient of 2014 Breakthrough Prizes Awarded in Life Sciences for the Discovery of Genes and Biochemical Mechanisms that cause Hypertension

7.2 Calcium Cycling (ATPase Pump) in Cardiac Gene Therapy: Inhalable Gene Therapy for Pulmonary Arterial Hypertension and Percutaneous Intra-coronary Artery Infusion for Heart Failure: Contributions by Roger J. Hajjar, MD

7.3 Diagnostics and Biomarkers: Novel Genomics Industry Trends vs Present Market Conditions and Historical Scientific Leaders Memoirs

7.4 Synthetic Biology: On Advanced Genome Interpretation for Gene Variants and Pathways: What is the Genetic Base of Atherosclerosis and Loss of Arterial Elasticity with Aging

7.5 Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

7.6 Imaging Biomarker for Arterial Stiffness: Pathways in Pharmacotherapy for Hypertension and Hypercholesterolemia Management

7.7 Neuroprotective Therapies: Pharmacogenomics vs Psychotropic drugs and Cholinesterase Inhibitors

7.8 Metabolite Identification Combining Genetic and Metabolic Information: Genetic association links unknown metabolites to functionally related genes

7.9 Preserved vs Reduced Ejection Fraction: Available and Needed Therapies

7.10 Biosimilars: Intellectual Property Creation and Protection by Pioneer and by

7.11 Demonstrate Biosimilarity: New FDA Biosimilar Guidelines

 

Chapter 7.  Biopharma Today

8.1 A Great University engaged in Drug Discovery: University of Pittsburgh

8.2 Introduction – The Evolution of Cancer Therapy and Cancer Research: How We Got Here?

8.3 Predicting Tumor Response, Progression, and Time to Recurrence

8.4 Targeting Untargetable Proto-Oncogenes

8.5 Innovation: Drug Discovery, Medical Devices and Digital Health

8.6 Cardiotoxicity and Cardiomyopathy Related to Drugs Adverse Effects

8.7 Nanotechnology and Ocular Drug Delivery: Part I

8.8 Transdermal drug delivery (TDD) system and nanotechnology: Part II

8.9 The Delicate Connection: IDO (Indolamine 2, 3 dehydrogenase) and Cancer Immunology

8.10 Natural Drug Target Discovery and Translational Medicine in Human Microbiome

8.11 From Genomics of Microorganisms to Translational Medicine

8.12 Confined Indolamine 2, 3 dioxygenase (IDO) Controls the Homeostasis of Immune Responses for Good and Bad

 

Chapter 9. BioPharma – Future Trends

9.1 Artificial Intelligence Versus the Scientist: Who Will Win?

9.2 The Vibrant Philly Biotech Scene: Focus on KannaLife Sciences and the Discipline and Potential of Pharmacognosy

9.3 The Vibrant Philly Biotech Scene: Focus on Computer-Aided Drug Design and Gfree Bio, LLC

9.4 Heroes in Medical Research: The Postdoctoral Fellow

9.5 NIH Considers Guidelines for CAR-T therapy: Report from Recombinant DNA Advisory Committee

9.6 1st Pitch Life Science- Philadelphia- What VCs Really Think of your Pitch

9.7 Multiple Lung Cancer Genomic Projects Suggest New Targets, Research Directions for Non-Small Cell Lung Cancer

9.8 Heroes in Medical Research: Green Fluorescent Protein and the Rough Road in Science

9.9 Issues in Personalized Medicine in Cancer: Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

9.10 The SCID Pig II: Researchers Develop Another SCID Pig, And Another Great Model For Cancer Research

Epilogue

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genomicsinpersonalizedmedicinecovervolumeone

Content Consultant: Larry H Bernstein, MD, FCAP

2.1.5.12

2.1.5.12   Genomics Orientations for Personalized Medicine: Request for Book Review Writing on Amazon.com, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair

Genomics Orientations for Personalized Medicine

Volume One

http://www.amazon.com/dp/B018DHBUO6

electronic Table of Contents

Chapter 1

1.1 Advances in the Understanding of the Human Genome The Initiation and Growth of Molecular Biology and Genomics – Part I

1.2 CRACKING THE CODE OF HUMAN LIFE: Milestones along the Way – Part IIA

1.3 DNA – The Next-Generation Storage Media for Digital Information

1.4 CRACKING THE CODE OF HUMAN LIFE: Recent Advances in Genomic Analysis and Disease – Part IIC

1.5 Advances in Separations Technology for the “OMICs” and Clarification of Therapeutic Targets

1.6 Genomic Analysis: FLUIDIGM Technology in the Life Science and Agricultural Biotechnology

Chapter 2

2.1 2013 Genomics: The Era Beyond the Sequencing of the Human Genome: Francis Collins, Craig Venter, Eric Lander, et al.

2.2 DNA structure and Oligonucleotides

2.3 Genome-Wide Detection of Single-Nucleotide and Copy-Number Variation of a Single Human Cell 

2.4 Genomics and Evolution

2.5 Protein-folding Simulation: Stanford’s Framework for Testing and Predicting Evolutionary Outcomes in Living Organisms – Work by Marcus Feldman

2.6 The Binding of Oligonucleotides in DNA and 3-D Lattice Structures

2.7 Finding the Genetic Links in Common Disease: Caveats of Whole Genome Sequencing Studies

Chapter 3

3.1 Big Data in Genomic Medicine

3.2 CRACKING THE CODE OF HUMAN LIFE: The Birth of Bioinformatics & Computational Genomics – Part IIB 

3.3 Expanding the Genetic Alphabet and linking the Genome to the Metabolome

3.4 Metabolite Identification Combining Genetic and Metabolic Information: Genetic Association Links Unknown Metabolites to Functionally Related Genes

3.5 MIT Scientists on Proteomics: All the Proteins in the Mitochondrial Matrix identified

3.6 Identification of Biomarkers that are Related to the Actin Cytoskeleton

3.7 Genetic basis of Complex Human Diseases: Dan Koboldt’s Advice to Next-Generation Sequencing Neophytes

3.8 MIT Team Researches Regulatory Motifs and Gene Expression of Erythroleukemia (K562) and Liver Carcinoma (HepG2) Cell Lines

Chapter 4

4.1 ENCODE Findings as Consortium

4.2 ENCODE: The Key to Unlocking the Secrets of Complex Genetic Diseases

4.3 Reveals from ENCODE Project will Invite High Synergistic Collaborations to Discover Specific Targets  

4.4 Human Variome Project: encyclopedic catalog of sequence variants indexed to the human genome sequence

4.5 Human Genome Project – 10th Anniversary: Interview with Kevin Davies, PhD – The $1000 Genome

4.6 Quantum Biology And Computational Medicine

4.7 The Underappreciated EpiGenome

4.8 Unraveling Retrograde Signaling Pathways

4.9  “The SILENCE of the Lambs” Introducing The Power of Uncoded RNA

4.10  DNA: One man’s trash is another man’s treasure, but there is no JUNK after all

Chapter 5

5.1 Paradigm Shift in Human Genomics – Predictive Biomarkers and Personalized Medicine – Part 1 

5.2 Computational Genomics Center: New Unification of Computational Technologies at Stanford

5.3 Personalized Medicine: An Institute Profile – Coriell Institute for Medical Research: Part 3

5.4 Cancer Genomics – Leading the Way by Cancer Genomics Program at UC Santa Cruz

5.5 Genome and Genetics: Resources @Stanford, @MIT, @NIH’s NCBCS

5.6 NGS Market: Trends and Development for Genotype-Phenotype Associations Research

5.7 Speeding Up Genome Analysis: MIT Algorithms for Direct Computation on Compressed Genomic Datasets

5.8  Modeling Targeted Therapy

5.9 Transphosphorylation of E-coli Proteins and Kinase Specificity

5.10 Genomics of Bacterial and Archaeal Viruses

Chapter 6

6.1  Directions for Genomics in Personalized Medicine

6.2 Ubiquinin-Proteosome pathway, Autophagy, the Mitochondrion, Proteolysis and Cell Apoptosis: Part III

6.3 Mitochondrial Damage and Repair under Oxidative Stress

6.4 Mitochondria: More than just the “Powerhouse of the Cell”

6.5 Mechanism of Variegation in Immutans

6.6 Impact of Evolutionary Selection on Functional Regions: The imprint of Evolutionary Selection on ENCODE Regulatory Elements is Manifested between Species and within Human Populations

6.7 Cardiac Ca2+ Signaling: Transcriptional Control

6.8 Unraveling Retrograde Signaling Pathways

6.9 Reprogramming Cell Fate

6.10 How Genes Function

6.11 TALENs and ZFNs

6.12 Zebrafish—Susceptible to Cancer

6.13 RNA Virus Genome as Bacterial Chromosome

6.14 Cloning the Vaccinia Virus Genome as a Bacterial Artificial Chromosome 

6.15 Telling NO to Cardiac Risk- DDAH Says NO to ADMA(1); The DDAH/ADMA/NOS Pathway(2)

6.16  Transphosphorylation of E-coli proteins and kinase specificity

6.17 Genomics of Bacterial and Archaeal Viruses

6.18  Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

Chapter 7

7.1 Harnessing Personalized Medicine for Cancer Management, Prospects of Prevention and Cure: Opinions of Cancer Scientific Leaders @ http://pharmaceuticalintelligence.com

7.2 Consumer Market for Personal DNA Sequencing: Part 4

7.3 GSK for Personalized Medicine using Cancer Drugs Needs Alacris Systems Biology Model to Determine the In Silico Effect of the Inhibitor in its “Virtual Clinical Trial”

7.4 Drugging the Epigenome

7.5 Nation’s Biobanks: Academic institutions, Research institutes and Hospitals – vary by Collections Size, Types of Specimens and Applications: Regulations are Needed

7.6 Personalized Medicine: Clinical Aspiration of Microarrays

Chapter 8

8.1 Personalized Medicine as Key Area for Future Pharmaceutical Growth

8.2 Inaugural Genomics in Medicine – The Conference Program, 2/11-12/2013, San Francisco, CA

8.3 The Way With Personalized Medicine: Reporters’ Voice at the 8th Annual Personalized Medicine Conference, 11/28-29, 2012, Harvard Medical School, Boston, MA

8.4 Nanotechnology, Personalized Medicine and DNA Sequencing

8.5 Targeted Nucleases

8.6 Transcript Dynamics of Proinflammatory Genes

8.7 Helping Physicians identify Gene-Drug Interactions for Treatment Decisions: New ‘CLIPMERGE’ program – Personalized Medicine @ The Mount Sinai Medical Center

8.8 Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing[1]

8.9 Diagnosing Diseases & Gene Therapy: Precision Genome Editing and Cost-effective microRNA Profiling

Chapter 9

9.1 Personal Tale of JL’s Whole Genome Sequencing

9.2 Inspiration From Dr. Maureen Cronin’s Achievements in Applying Genomic Sequencing to Cancer Diagnostics

9.3 Inform Genomics Developing SNP Test to Predict Side Effects, Help MDs Choose among Chemo Regimens

9.4 SNAP: Predict Effect of Non-synonymous Polymorphisms: How Well Genome Interpretation Tools could Translate to the Clinic

9.5  LEADERS in Genome Sequencing of Genetic Mutations for Therapeutic Drug Selection in Cancer Personalized Treatment: Part 2

9.6 The Initiation and Growth of Molecular Biology and Genomics – Part I

9.7 Personalized Medicine-based Cure for Cancer Might Not Be Far Away

9.8 Personalized Medicine: Cancer Cell Biology and Minimally Invasive Surgery (MIS)

 Chapter 10

10.1 Pfizer’s Kidney Cancer Drug Sutent Effectively caused REMISSION to Adult Acute Lymphoblastic Leukemia (ALL)

10.2 Imatinib (Gleevec) May Help Treat Aggressive Lymphoma: Chronic Lymphocytic Leukemia (CLL)

10.3 Winning Over Cancer Progression: New Oncology Drugs to Suppress Passengers Mutations vs. Driver Mutations

10.4 Treatment for Metastatic HER2 Breast Cancer

10.5 Personalized Medicine in NSCLC

10.6 Gene Sequencing – to the Bedside

10.7 DNA Sequencing Technology

10.8 Nobel Laureate Jack Szostak Previews his Plenary Keynote for Drug Discovery Chemistry

Chapter 11

11.1 mRNA Interference with Cancer Expression

11.2 Angiogenic Disease Research Utilizing microRNA Technology: UCSD and Regulus Therapeutics

11.3 Sunitinib brings Adult acute lymphoblastic leukemia (ALL) to Remission – RNA Sequencing – FLT3 Receptor Blockade

11.4 A microRNA Prognostic Marker Identified in Acute Leukemia 

11.5 MIT Team: Microfluidic-based approach – A Vectorless delivery of Functional siRNAs into Cells.

11.6 Targeted Tumor-Penetrating siRNA Nanocomplexes for Credentialing the Ovarian Cancer Oncogene ID4

11.7 When Clinical Application of miRNAs?

11.8 How mobile elements in “Junk” DNA promote cancer. Part 1: Transposon-mediated tumorigenesis,

11.9 Potential Drug Target: Glycolysis Regulation – Oxidative Stress-responsive microRNA-320

11.10  MicroRNA Molecule May Serve as Biomarker

11.11 What about Circular RNAs?

Chapter 12

12.1 The “Cancer Establishments” Examined by James Watson, Co-discoverer of DNA w/Crick, 4/1953

12.2 Otto Warburg, A Giant of Modern Cellular Biology

12.3 Is the Warburg Effect the Cause or the Effect of Cancer: A 21st Century View?

12.4 Hypothesis – Following on James Watson

12.5 AMPK Is a Negative Regulator of the Warburg Effect and Suppresses Tumor Growth In Vivo

12.6 AKT signaling variable effects

12.7 Rewriting the Mathematics of Tumor Growth; Teams Use Math Models to Sort Drivers from Passengers

12.8 Phosphatidyl-5-Inositol signaling by Pin1

Chapter 13

13.1 Nanotech Therapy for Breast Cancer

13.2 BRCA1 a tumour suppressor in breast and ovarian cancer – functions in transcription, ubiquitination and DNA repair

13.3 Exome sequencing of serous endometrial tumors shows recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes

13.4 Recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes in serous endometrial tumors

13.5 Prostate Cancer: Androgen-driven “Pathomechanism” in Early onset Forms of the Disease

13.6 In focus: Melanoma Genetics

13.7 Head and Neck Cancer Studies Suggest Alternative Markers More Prognostically Useful than HPV DNA Testing

13.8 Breast Cancer and Mitochondrial Mutations

13.9  Long noncoding RNA network regulates PTEN transcription

Chapter 14

14.1 HBV and HCV-associated Liver Cancer: Important Insights from the Genome

14.2 Nanotechnology and HIV/AIDS treatment

14.3 IRF-1 Deficiency Skews the Differentiation of Dendritic Cells

14.4 Sepsis, Multi-organ Dysfunction Syndrome, and Septic Shock: A Conundrum of Signaling Pathways Cascading Out of Control

14.5  Five Malaria Genomes Sequenced

14.6 Rheumatoid Arthritis Risk

14.7 Approach to Controlling Pathogenic Inflammation in Arthritis

14.8 RNA Virus Genome as Bacterial Chromosome

14.9 Cloning the Vaccinia Virus Genome as a Bacterial Artificial Chromosome

Chapter 15

15.1 Personalized Cardiovascular Genetic Medicine at Partners HealthCare and Harvard Medical School

15.2 Congestive Heart Failure & Personalized Medicine: Two-gene Test predicts response to Beta Blocker Bucindolol

15.3 DDAH Says NO to ADMA(1); The DDAH/ADMA/NOS Pathway(2)

15.4 Peroxisome Proliferator-Activated Receptor (PPAR-gamma) Receptors Activation: PPARγ Transrepression for Angiogenesis in Cardiovascular Disease and PPARγ Transactivation for Treatment of Diabetes

15.5 BARI 2D Trial Outcomes

15.6 Gene Therapy Into Healthy Heart Muscle: Reprogramming Scar Tissue In Damaged Hearts

15.7 Obstructive coronary artery disease diagnosed by RNA levels of 23 genes – CardioDx, a Pioneer in the Field of Cardiovascular Genomic  Diagnostics

15.8 Ca2+ signaling: transcriptional control

15.9 Lp(a) Gene Variant Association

15.9.1 Two Mutations, in the PCSK9 Gene: Eliminates a Protein involved in Controlling LDL Cholesterol

15.9.2. Genomics & Genetics of Cardiovascular Disease Diagnoses: A Literature Survey of AHA’s Circulation Cardiovascular Genetics, 3/2010 – 3/2013

15.9.3 Synthetic Biology: On Advanced Genome Interpretation for Gene Variants and Pathways: What is the Genetic Base of Atherosclerosis and Loss of Arterial Elasticity with Aging

15.9.4 The Implications of a Newly Discovered CYP2J2 Gene Polymorphism Associated with Coronary Vascular Disease in the Uygur Chinese Population

15.9.5  Gene, Meis1, Regulates the Heart’s Ability to Regenerate after Injuries.

15.10 Genetics of Conduction Disease: Atrioventricular (AV) Conduction Disease (block): Gene Mutations – Transcription, Excitability, and Energy Homeostasis

15.11 How Might Sleep Apnea Lead to Serious Health Concerns like Cardiac and Cancers?

Chapter 16

16.1 Can Resolvins Suppress Acute Lung Injury?

16.2 Lipoxin A4 Regulates Natural Killer Cell in Asthma

16.3 Biological Therapeutics for Asthma

16.4 Genomics of Bronchial Epithelial Dysplasia

16.5 Progression in Bronchial Dysplasia

Chapter 17

17.1 Breakthrough Digestive Disorders Research: Conditions Affecting the Gastrointestinal Tract.

17.2 Liver Endoplasmic Reticulum Stress and Hepatosteatosis

17.3 Biomarkers-identified-for-recurrence-in-hbv-related-hcc-patients-post-surgery

17.4  Usp9x: Promising Therapeutic Target for Pancreatic Cancer

17.5 Battle of Steve Jobs and Ralph Steinman with Pancreatic cancer: How We Lost

Chapter 18

18.1 Ubiquitin Pathway Involved in Neurodegenerative Disease

18.2 Genomic Promise for Neurodegenerative Diseases, Dementias, Autism Spectrum, Schizophrenia, and Serious Depression

18.3 Neuroprotective Therapies: Pharmacogenomics vs Psychotropic Drugs and Cholinesterase Inhibitors

18.4 Ustekinumab New Drug Therapy for Cognitive Decline Resulting from Neuroinflammatory Cytokine Signaling and Alzheimer’s Disease

18.5 Cell Transplantation in Brain Repair

18.6 Alzheimer’s Disease Conundrum – Are We Near the End of the Puzzle?

Chapter 19

19.1 Genetics and Male Endocrinology

19.2 Genomic Endocrinology and its Future

19.3 Commentary on Dr. Baker’s post “Junk DNA Codes for Valuable miRNAs: Non-coding DNA Controls Diabetes”

19.4 Therapeutic Targets for Diabetes and Related Metabolic Disorders

19.5 Secondary Hypertension caused by Aldosterone-producing Adenomas caused by Somatic Mutations in ATP1A1 and ATP2B3 (adrenal cortical; medullary or Organ of Zuckerkandl is pheochromocytoma)

19.6 Personal Recombination Map from Individual’s Sperm Cell and its Importance

19.7 Gene Trap Mutagenesis in Reproductive Research

19.8 Pregnancy with a Leptin-Receptor Mutation

19.9 Whole-genome Sequencing in Probing the Meiotic Recombination and Aneuploidy of Single Sperm Cells

19.10 Reproductive Genetic Testing

Chapter 20

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

20.2 Understanding the Role of Personalized Medicine

20.3 Attitudes of Patients about Personalized Medicine

20.4  Genome Sequencing of the Healthy

20.5   Genomics in Medicine – Tomorrow’s Promise

20.6  The Promise of Personalized Medicine

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

 20.8 Genomic Liberty of Ownership, Genome Medicine and Patenting the Human Genome

Chapter 21

Recent Advances in Gene Editing Technology Adds New Therapeutic Potential for the Genomic Era:  Medical Interpretation of the Genomics Frontier – CRISPR – Cas9

Introduction

21.1 Introducing CRISPR/Cas9 Gene Editing Technology – Works by Jennifer A. Doudna

21.1.1 Ribozymes and RNA Machines – Work of Jennifer A. Doudna

21.1.2 Evaluate your Cas9 gene editing vectors: CRISPR/Cas Mediated Genome Engineering – Is your CRISPR gRNA optimized for your cell lines?

21.1.3 2:15 – 2:45, 6/13/2014, Jennifer Doudna “The biology of CRISPRs: from genome defense to genetic engineering”

21.1.4  Prediction of the Winner RNA Technology, the FRONTIER of SCIENCE on RNA Biology, Cancer and Therapeutics  & The Start Up Landscape in BostonGene Editing – New Technology The Missing link for Gene Therapy?

21.2 CRISPR in Other Labs

21.2.1 CRISPR @MIT – Genome Surgery

21.2.2 The CRISPR-Cas9 System: A Powerful Tool for Genome Engineering and Regulation

Yongmin Yan and Department of Gastroenterology, Hepatology & Nutrition, University of Texas M.D. Anderson Cancer, Houston, USADaoyan Wei*

21.2.3 New Frontiers in Gene Editing: Transitioning From the Lab to the Clinic, February 19-20, 2015 | The InterContinental San Francisco | San Francisco, CA

21.2.4 Gene Therapy and the Genetic Study of Disease: @Berkeley and @UCSF – New DNA-editing technology spawns bold UC initiative as Crispr Goes Global

21.2.5 CRISPR & MAGE @ George Church’s Lab @ Harvard

21.3 Patents Awarded and Pending for CRISPR

21.3.1 Litigation on the Way: Broad Institute Gets Patent on Revolutionary Gene-Editing Method

21.3.2 The Patents for CRISPR, the DNA editing technology as the Biggest Biotech Discovery of the Century

2.4 CRISPR/Cas9 Applications

21.4.1  Inactivation of the human papillomavirus E6 or E7 gene in cervical carcinoma cells using a bacterial CRISPR/Cas 

21.4.2 CRISPR: Applications for Autoimmune Diseases @UCSF

21.4.3 In vivo validated mRNAs

21.4.6 Level of Comfort with Making Changes to the DNA of an Organism

21.4.7 Who will be the the First to IPO: Novartis bought in to Intellia (UC, Berkeley) as well as Caribou (UC, Berkeley) vs Editas (MIT)??

21.4.8 CRISPR/Cas9 Finds Its Way As an Important Tool For Drug Discovery & Development

Summary

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On its way for an IPO: mRNA platform, Moderna, Immune Oncology is recruiting 100 new Life Scientists in Cambridge, MA, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

On its way for an IPO: mRNA platform, Moderna, Immune Oncology is recruiting 100 new Life Scientists in Cambridge, MA

Curator: Aviva Lev-Ari, PhD, RN

 

Deals:

Moderna has now raised $1.9 billion from investors like AstraZeneca – 9% stack [AstraZeneca’s Pascal Soriot helped get that all started with a whopping $240 million upfront in its 2013 deal, which was tied to $180 million in milestones.], with another $230 million on the table from grants. In addition to the financing announcement this morning, Moderna is also unveiling a pact to develop a new Zika vaccine, with BARDA putting up $8 million to get the program started while offering an option on $117 million more to get through a successful development program.

Novel Strategy in Biotech:

in biotech. Instead of grabbing one or two new drugs and setting out to gather proof-of-concept data to help establish its scientific credibility, the company has harvested a huge windfall of cash and built a large organization before even entering the clinic. And it did that without turning to an IPO.

Pipeline include:

  • The deal with AstraZeneca covers new drugs for cardiovascular, metabolic and renal diseases as well as cancer.
  • partners filed a European application to start a Phase I study of AZD8601, an investigational mRNA-based therapy that encodes for vascular endothelial growth factor-A (VEGF-A)
  • Moderna CEO spelled out plans to get the first 6 new drugs in the clinic by the end of 2016.
  • The first human study was arranged for the infectious disease drug mRNA 1440, which began an early stage study in 2015.
  • Moderna built up a range of big preclinical partnerships.
  • CEO Bancel says the number of drugs in development has swelled to 11, with the first set of data slated to be released in 2017.
  • Moderna also plans to add about 10 drugs to the clinic by next summer,

 

SOURCES

UPDATED: Booming Moderna is raising $600M while ramping up manufacturing and clinical studies

$1.9B in: Moderna blueprints $100M facility, plans to double the pipeline after a $474M megaround

http://endpts.com/moderna-blueprints-100m-facility-plans-to-double-the-pipeline-after-a-474m-megaround/?utm_source=Sailthru&utm_medium=email&utm_campaign=Issue:%202016-09-07%20BioPharma%20Dive%20%5Bissue:7155%5D&utm_term=BioPharma%20Dive

 

Moderna Therapeutics Deal with Merck: Are Personalized Vaccines here?

Curator & Reporter: Stephen J. Williams, PhD – August 11, 2016

https://pharmaceuticalintelligence.com/2016/08/11/moderna-therapeutics-deal-with-merck-are-personalized-vaccines-here/

 

at #JPM16 – Moderna Therapeutics turns away an extra $200 million: with AstraZeneca (collaboration) & with Merck ($100 million investment)

Reporter: Aviva Lev-Ari, PhD, RN – January 13, 2016

https://pharmaceuticalintelligence.com/2016/01/13/at-jpm16-moderna-therapeutics-turns-away-an-extra-200-million-with-astrazeneca-collaboration-with-merck-100-million-investment/

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Health Care & Medical Practices need to overcome the status quo: The Medical science is saying we need to do things differently: The Premise of Molecular Diagnostics and Precision Medicine

Reporter: Aviva Lev-Ari, PhD, RN

 

Medical science is more advanced than at any point in history. Yet the health care system — medical science applied to actual patients — still leaves many people without the best and latest treatments.

 

The Way Medicine Is Going

https://www.genomeweb.com/scan/way-medicine-going?utm_source=SilverpopMailing&utm_medium=email&utm_campaign=Scan%20Blog:%20Op-Ed%20Calls%20for%20Biotech%20Patent%20Court,%20This%20Week%27s%20PNAS,%20Personalized%20Medicine,%20more%20-%2008/23/2016%2001:30:00%20PM

 

FOCUS: MAKING MEDICINE MORE PRECISE, ACCESSIBLE

Scientists, doctors working to customize treatments — and get those treatments to greater numbers of people

 

Euan Ashley, a Stanford University Medical Center associate professor of medicine and genetics, in an article last week in Nature Reviews Genetics.

https://www.dropbox.com/s/wssyl00tysnyyb3/Towards%20Precision%20Medicine%20-%20Euan%20Ashley.pdf?dl=0

The California program’s website is www.ciapm.org.

At the federal level, Obama’s campaign, called the Precision Medicine Initiative, was unveiled in January 2015.

The initiative’s website is whitehouse.gov/pmi.

The Clearity Foundation, a San Diego nonprofit,Clearity provides these services free of charge, specializes in matching the best drugs to ovarian cancer patients with recurrent tumors. Through partners, Clearity arranges for tumor samples to be genetically analyzed and compared with those of others in a tumor database of hundreds of tumor samples.

NOTABLE NAMES IN PRECISION MEDICINE

*ERIC DISHMAN — Director of the National Institutes of Health’s program linked to President Barack Obama’s Precision Medicine Initiative.

*DR. ELIZABETH BACA — Senior health adviser to the California Governor’s Office of Planning and Research who helps coordinate the California Initiative to Advance Precision Medicine.

*DR. ERIC TOPOL — Director of the Scripps Translational Science Institute and chief academic officer for the San Diego-based Scripps Health network. He is leading a national project, backed by $120 million in federal funding, to enroll 1 million volunteers in a study to deeply explore their health. The aim is to get more data to customize patient care.

*DR. STEPHEN KINGSMORE — Diagnoses genetic childhood diseases at Rady Children’s Hospital-San Diego as president and CEO of the Rady Children’s Institute for Genomic Medicine.

*J. CRAIG VENTER — Genomics pioneer based in La Jolla. Beyond his eponymously named institute, Venter is co-founder of Human Longevity, a company aiming to sequence the DNA of hundreds of thousands of people.

*JAY FLATLEY — Executive chairman of Illumina in San Diego, the world’s leader in making systems that sequence DNA in high volume.

*LAURA SHAWVER — Founder of The Clearity Foundation in San Diego, which uses precision medicine to help match ovarian-cancer patients with drugs targeted to their various types of tumors.

*DR. ATUL BUTTE — Professor at UC San Francisco and principal investigator for the California Initiative to Advance Precision Medicine.

SOURCE

http://www.sandiegouniontribune.com/news/2016/aug/22/precision-customized-personalized-medicine/

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Crowdsourcing Genetic Data Yields Discovery of DNA loci associated with Major Depressive Disorder (MDD) in European Descendants, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Crowdsourcing Genetic Data Yields Discovery of DNA loci associated with Major Depressive Disorder (MDD) in European Descendants

 

Reporter: Kelly Perlman, Life Sciences Student and Research Assistant, McGill University

 

UPDATED on 11/24/2019

Can AI help diagnose depression? It’s a long shot

At the moment, machine intelligence is just as subjective as human intelligence

Alejandra Canales

https://www.salon.com/2019/11/23/can-ai-help-diagnose-depression-its-a-long-shot_partner/amp?__twitter_impression=true

Researchers from Pfizer Global Research and Development, 23andMe, and the Massachusetts General Hospital have published a study in Nature Genetics, pinpointing 15 genetic loci associated with the risk of developing major depressive disorder (MDD) in individuals of European ancestry. Evidence from previous research suggests that MDD is heritable, but the details of the specific gene correlates are unclear. The identification of loci where single nucleotide polymorphisms (SNPs) related to MDD exist could provide better insight into the neurobiology of depression, and therefore better treatment options.

23andMe, a private biotechnology company situated in California, offers a DNA sequencing service in which consumers send in a saliva swab for testing, and later receive a report listing the findings of the analysis related to ancestry, physical and behavioral traits, along with risk of inheriting certain diseases. The participants of this study had agreed to provide the results of their genetic testing for scientific research.

The results of 75,607 participants with self-reported diagnoses of depression were compared to the results of 231,747 participants reporting having never experienced depression. This data was combined with the results of previously published MDD genome-wide association studies (GWAS). To test the whether these results could be replicated, another set of results from 23andMe was analyzed, in which there were 45,773 MDD subjects, and 106,354 controls.

After the joint analysis, 17 SNPs were identified at 15 different loci. Tissue and gene enrichment assays showed that the genes that were over-expressed in the CNS were related to functions including neurodevelopment, histone methylation, neurogenesis and synaptic modification.

The team then created a weighted genetic risk score (GRS) in which they compared the 17 SNPs with factors including medication use, comorbid diseases and behavioral phenotypes, all of which were correlated with the GRS. Of note, the GRS was very highly correlated with age of onset of MDD.

The crowdsourcing of genetic data proves to be an efficient and powerful tool for large-scale MDD studies. Pooling large subject databases together is essential in order to account for the heterogeneous nature of the disease. Despite not being able to precisely assess each subject’s disease phenotype, scientists can make more rapid headway by collaborating with biotechnology companies in the quest to better understand the biological mechanisms of depression. Ron Perlis, M.D., M.Sc., of the Massachusetts General Hospital and co-author of this paper explained that “finding genes associated with depression should help make clear that this is a brain disease, which we hope will decrease the stigma still associated with these kinds of illnesses”.

 

Details on specific significant genes:

http://www.genecards.org/cgi-bin/carddisp.pl?gene=OLFM4

http://www.genecards.org/cgi-bin/carddisp.pl?gene=TMEM161B

http://www.genecards.org/cgi-bin/carddisp.pl?gene=MEF2C

http://www.genecards.org/cgi-bin/carddisp.pl?gene=MEIS2

http://www.genecards.org/cgi-bin/carddisp.pl?gene=TMCO5A

http://www.genecards.org/cgi-bin/carddisp.pl?gene=NEGR1

 

SOURCES

Hyde, C. L., Nagle, M. W., Tian, C., Chen, X., Paciga, S. A., Wendland, J. R., . . . Winslow, A. R. (2016). Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nature Genetics Nat Genet. doi:10.1038/ng.3623

Major Depressive Disorder Loci Discovered in Large GWAS Enabled by 23andMe Participants’ Data. (2016, August 01). Retrieved August 09, 2016, from https://www.genomeweb.com/microarrays-multiplexing/major-depressive-disorder-loci-discovered-large-gwas-enabled-23andme

 

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New York Times Articles on Cancer Immunotherapy and Cancer Treatment Options

Curators: Aviva Lev-Ari, PhD, RN, Stephen J Williams, PhD and Tilda Barliya, PhD

The following articles, 

Here are some ways cancer can thwart the new immunotherapy drugs

Laurie McGinley July 13, 2016

https://www.washingtonpost.com/news/to-your-health/wp/2016/07/13/here-are-some-ways-cancer-can-thwart-the-new-immunotherapy-drugs/

and

The list of cancers that can be treated by immunotherapy keeps growing

By Laurie McGinley April 19

https://www.washingtonpost.com/news/to-your-health/wp/2016/04/19/breakthrough-cancer-therapy-shows-growing-promise/?tid=a_inl

were brought to my attention by Tilda Barliya, PhD, on our R&D Team, DrugDiscovery @LPBI Group, it stimulated the following curation in several Parts:

This article has three parts:

  • Part One: LPBI Group: A Key Opinion Leader (KOL) in Cancer and Genomics
  • Part Two: History of Cancer Immunotherapy
  • Part Three: New York Times Articles on Cancer Immunotherapy and Cancer Treatment Options

 

Part One:

LPBI Group: A Key Opinion Leader (KOL) in Cancer and Genomics

 

Immune System Stimulants: Articles of Note @pharmaceuticalintelligence.com

Immune-Oncology Molecules In Development & Articles on Topic in @pharmaceuticalintelligence.com

Curators: Stephen J Williams, PhD and Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/01/11/articles-on-immune-oncology-molecules-in-development-pharmaceuticalintelligence-com/

Cancer Biology & Genomics for Disease Diagnosis, on Amazon since 8/11/2015

http://www.amazon.com/dp/B013RVYR2K

Genomics Orientations for Personalized Medicine, on Amazon since 11/23/2015

http://www.amazon.com/dp/B018DHBUO6

Genomics Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS & BioInformatics, Simulations and the Genome Ontology

https://pharmaceuticalintelligence.com/biomed-e-books/genomics-orientations-for-personalized-medicine/volume-two-genomics-methodologies-ngs-bioinformatics-simulations-and-the-genome-ontology/

Cancer Volume Two: Cancer Therapies: Metabolic, Genomics, Interventional, Immunotherapy and Nanotechnology in Therapy Delivery

https://pharmaceuticalintelligence.com/biomed-e-books/series-c-e-books-on-cancer-oncology/volume-2-immunotherapy-in-oncology/

Part Two:

History of Cancer Immunotherapy

Pioneers of Cancer Cell Therapy:  Turbocharging the Immune System to Battle Cancer Cells — Success in Hematological Cancers vs. Solid Tumors

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/08/19/pioneers-of-cancer-cell-therapy-turbocharging-the-immune-system-to-battle-cancer-cells-success-in-hematological-cancers-vs-solid-tumors/

In 1987, researchers identified cytotoxic T-lymphocyte antigen 4, or CTLA-4. Allison found that CTLA-4 prevents T cells from attacking tumor cells. He wondered whether blocking CTLA-4 would allow the immune system to make those attacks. In 1996, Allison showed that antibodies against CTLA-4 allowed the immune system to destroy tumors in mice.[2] In 1999, biotech firm Medarex acquired rights to the antibody. In 2010, Medarex acquirer Bristol-Myers Squibb reported that patients with metastatic melanoma lived an average of 10 months on the antibody, versus 6 months without it. It was the first time any treatment had extended life in advanced melanoma in a randomized trial.[2]

In the early 1990s, a biologist discovered a molecule expressed in dying T cells, which he called programmed death 1, or PD-1 and which he recognized as another disabler of T cells. An antibody that targeted PD-1 was developed and by 2008 produced remission in multiple subjects across multiple cancer types. In 2013, clinicians reported that across 300 patients tumors shrunk by about half or more in 31% of those with melanoma, 29% with kidney cancer and 17% with lung cancer.[2]

In 1997 rituximab, the first antibody treatment for cancer, was approved by the FDA for treatment of follicular lymphoma. Since this approval, 11 other antibodies have been approved for cancer; alemtuzumab (2001), ofatumumab (2009) and ipilimumab (2011).

In 2003 cytokines such as interleukin were administered.[3] The adverse effects of intravenously administered cytokines[4] led to the extraction, in vitro expansion against a tumour antigen and reinjection of the cells[5] with appropriate stimulatory cytokines.

However, with both anti–CTLA-4 and anti–PD-1, some tumors continued to grow before vanishing months later. Some patients kept responding after the antibody had been discontinued. Some patients, developed side effects including inflammation of the colon or of the pituitary gland.[2]

The first cell-based immunotherapy cancer vaccine, sipuleucel-T, was approved in 2010 for the treatment of prostate cancer.[6][7]

After success harvesting T cells from tumors, expanding them in the lab and reinfusing them into patients reduced tumors, in 2010, Steven Rosenberg announced chimeric antigen receptor therapy, or CAR therapy. This technique is a personalized treatment that involves genetically modifying each patient’s T cells to target tumor cells. It produced complete remission in a majority of leukemia patients, although some later relapsed.[2]

By mid 2016 the FDA had approved one PD-L1 inhibitor (atezolizumab) and two PD-1 inhibitors (nivolumab and pembrolizumab).

SOURCE

https://en.wikipedia.org/wiki/Cancer_immunotherapy

Part Three:

New York Times Articles on Cancer Immunotherapy and Cancer Treatment Options

 

  1. What Is Immunotherapy? The Basics on These Cancer Treatments

    Some of the most promising advances in cancer research in recent years involve treatments known as immunotherapy. These advances are spurring billions of dollars in investment by drug companies, and are leading to hundreds of

  2. Immunotherapy Offers Hope to a Cancer Patient, but No Certainty

    declared him in remission. It was a result that put him at the vanguard of a new generation of cancer treatment called immunotherapy that casts into sharp relief the harshness of how we have long treated cancer and the less grueling

  3. Have You Received Immunotherapy Treatment for Cancer?

    The New York Times would like to hear from doctors and patients who have experience giving or receiving immunotherapy treatment for cancer.

  4. Immunotherapy Drug Fails Lung Cancer Trial

    The hot new field of immunotherapy got a shock on Friday when a best-selling new drug failed as an initial treatment for lung cancer in a clinical trial. Bristol-Myers Squibb said Friday that the drug, Opdivo, had not slowed the

  5. F.D.A. Approves Immunotherapy Drug for Treatment of Bladder Cancer

    The Food and Drug Administration on Wednesday approved a newimmunotherapy drug from Roche to treat bladder cancer, a form of cancer for which there have been no significant new medicines in years. The drug, called Tecentriq, is the

  6. Sean Parker, a Facebook and Napster Pioneer, to Start CancerImmunotherapy Effort

    media as the early president of Facebook. Now he wants to pioneer in a field that is already jumping with activity: cancer immunotherapy. Mr. Parker is announcing Wednesday that he is donating $250 million to a new effort that will

  7. Harnessing the Immune System to Fight Cancer

    Sloan Kettering Cancer Center in New York, recommended an experimental treatment: immunotherapy. Rather than attacking the cancer directly, as chemo does, immunotherapy tries to rally the patient’s own immune

  8. Cancer-Drug Ads vs. Cancer-Drug Reality

    She also took part in a clinical trial at Johns Hopkins for Opdivo, an immunotherapy drug made by the pharmaceutical company Bristol-Myers Squibb. Briefly stated, immunotherapy is a recently developed, highly

  9. Sean Parker on Cancer Research

    Sean Parker discusses his support of immunotherapy research.

  10. Paid Notice: Deaths SPRAYREGEN, NICHOLAS (NICK)

    family and many friends. Contributions in his memory may be made to Memorial Sloan Kettering Cancer Center, Melanoma and Immunotherapy Research under Dr. Jedd Wolchok. 1/3

    11. Paid Notice: Deaths SPRAYREGEN, NICHOLAS (NICK)

    St. and Amsterdam Ave. Contributions in his memory may be made to Memorial Sloan Kettering Cancer Center, Melanoma and Immunotherapy Research under Dr. Jedd Wolchok. 1/3

    12. Setting the Body’s ‘Serial Killers’ Loose on Cancer

    Sloan Kettering Cancer Center. This radical, science-fictionlike therapy differs sharply from the more established type of immunotherapy, developed by other researchers. Those off-the-shelf drugs, known as checkpoint inhibitors,

SOURCE

http://query.nytimes.com/search/sitesearch/?action=click&contentCollection&region=TopBar&WT.nav=searchWidget&module=SearchSubmit&pgtype=Homepage#/immunotherapy/since1851/allresults/2/

 Additional Readings:

More women with cancer in one breast are having double mastectomies

Medicare considers overhaul of doctors’ payments for cancer drugs

Paul Allen announces $100 million gift to expand “frontiers of bioscience”

Life sciences a priority for Sean Parker’s new $600 million foundation

Cornell study finds some people may be genetically programmed to be vegetarians

Mom’s and — surprise! — dad’s pre-pregnancy caffeine intake may affect miscarriage risk, NIH study warns

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Through Data Science: Stanford Medicine and Google will transform Patient Care and Medical Research, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

 Through Data Science: Stanford Medicine and Google will transform Patient Care and Medical Research

Reporter: Aviva Lev-Ari, PhD, RN

 

Stanford Medicine integrates research, medical education and health care at its three institutions –Stanford University School of Medicine, Stanford Health Care (formerly Stanford Hospital & Clinics), and Lucile Packard Children’s Hospital Stanford. For more information, please visit the Office of Communication & Public Affairs site at http://mednews.stanford.edu.

 

Stanford’s forthcoming Clinical Genomics Service, which puts genomic sequencing into the hands of clinicians to help diagnose disease, will be built using Google Genomics, a service that applies the same technologies that power Google Search and Maps to securely store, process, explore and share genomic data sets.

The Clinical Genomics Service will enable physicians at Stanford Health Care and Stanford Children’s Health to order genome sequencing for patients who have distinctive or unusual symptoms that might be caused by a wayward gene. The genomic data would then go to the Google Cloud Platform to join masses of aggregated and anonymous data from other Stanford patients. “As the new service launches,” said Euan Ashley, MRCP, DPhil, a Stanford associate professor of medicine and of genetics, “we’ll be doing hundreds and then thousands of genome sequences.”

The Clinical Genomics Service aims to make genetic testing a normal part of health care for patients. “Genetic testing is built into the whole system,” said Ashley. A physician who thinks a genome-sequencing test could help a patient can simply request sequencing along with other blood tests, he said. “The DNA gets sequenced and a large amount of data comes back,” he said. At that point, Stanford can use Google Cloud to analyze the data to decide which gene variants might be responsible for the patient’s health condition. Then a data curation team will work with the physician to narrow the possibilities, he said.

“This collaboration will enable Stanford to discover new ways to advance medicine to the benefit of Stanford patients and families,” said Ed Kopetsky, chief information officer at Lucile Packard Children’s Hospital Stanford and Stanford Children’s Health. “Together, Stanford Medicine and Google are making a major contribution and commitment in curing diseases that afflict children not just in our community, but throughout the world. It’s an extraordinary investment, and we’re proud to play such a large role in transforming patient care and research.”

Read more at the SOURCE

 

Stanford Medicine, Google team up to harness power of data science for health care

By JENNIE DUSHECK

Jennie Dusheck is a science writer for the medical school’s Office of Communication & Public Affairs. Email her at dusheck@stanford.edu.
SOURCE

Read Full Post »

Using Online Mendelian Inheritance in Man (OMIM) database and the Human Genome Mutation Database (HGMD) Pro 2015.2 for Quantification of the growth in gene-disease and variant-disease associations, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)

Using Online Mendelian Inheritance in Man (OMIM) database and the Human Genome Mutation Database (HGMD) Pro 2015.2 for Quantification of the growth in gene-disease and variant-disease associations

Reporter: Aviva Lev-Ari, PhD, RN

 

Reanalysis of Clinical Exome Data Over Time Could Yield New Diagnoses

NEW YORK (GenomeWeb) – Clinical exomes that are re-evaluated in a systematic way could yield new diagnoses and prove useful to clinicians, according to a study published yesterday in Genetics in Medicine.

A team of researchers from Stanford University set out to examine whether nondiagnostic clinical exomes could provide new information for patients if they were re-examined with current bioinformatics software and knowledge of disease-related variants as presented in the literature.

Clinical exome sequencing yields no diagnosis for about 75 percent of patients evaluated for possible Mendelian disorders, wrote senior author Gill Bejerano and his colleagues. But a reanalysis of exome and phenotypic data from 40 such individuals using current methods identified a definitive diagnosis for four of them — 10 percent — the team said.

In these cases, the causative variant was de novo and found in a relevant autosomal-dominant disease gene. At the time these exomes were first sequenced, the researchers wrote, the existing literature on these causative genes was either “weak, nonexistent, or not readily located.” When the exomes were re-examined by his team, Bejerano noted, the supporting literature was more robust.

SOURCE

https://www.genomeweb.com/sequencing/reanalysis-clinical-exome-data-over-time-could-yield-new-diagnoses?utm_source=SilverpopMailing&utm_medium=email&utm_campaign=Daily%20News:%20Reanalysis%20of%20Clinical%20Exome%20Data%20Over%20Time%20Could%20Yield%20New%20Diagnoses%20-%2007/22/2016%2011:20:00%20AM

At ACMG, Researchers Report Data Re-Analysis, Matchmaking Boosts Solved Exome Cases

In addition to re-analyzing exome data, the researchers have been working on establishing causality for novel candidate disease genes through patient matches. For this, the team has been using the GeneMatcher website, which allows them to find other clinicians and researchers around the world who have patients, or animal models, with mutations in the same genes as their own patients. Through an API developed by the Matchmaker Exchange project, GeneMatcher submitters can also query the PhenomeCentral and Decipher databases. As of March, more than 4,000 genes had been submitted to GeneMatcher from more than 1,300 submitters in 48 countries, and 1,900 matches had been made, Sobreira reported.

Her team has so far submitted data from 104 families, involving 280 genes, and has had 314 matches so far, involving 113 genes. Several cases have been successes, meaning the researchers could establish that a candidate gene is indeed disease causing, and several others are pending, both from Hopkins and from other groups. The total number of solved cases tracing their success to GeneMatcher is currently unknown, Sobreira said, but the organizers are planning to survey submitters about their success rate in the near future.

SOURCE

https://www.genomeweb.com/molecular-diagnostics/acmg-researchers-report-data-re-analysis-matchmaking-boosts-solved-exome-cases

 

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