On February 19, 2020 Blueprint Medicines Corporation (NASDAQ:BPMC), a precision therapy company focused on genomically defined cancers, rare diseases and cancer immunotherapy, reported its participation in fireside chats at the following upcoming investor conferences (Press release, Blueprint Medicines, FEB 19, 2020, View Source [SID1234554514]):

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9th Annual SVB Leerink Global Healthcare Conferencein New York, NY on Wednesday, February 26, 2020 at 9:00 a.m. ET.
40th Annual Cowen Health Care Conferencein Boston, MA on Tuesday, March 3, 2020 at 12:00 p.m. ET.
A live webcast of each presentation will be available by visiting the Investors & Media section of Blueprint Medicines’ website at View Source A replay of the webcasts will be archived on Blueprint Medicines’ website for 30 days following each presentation.

On February 19, 2020 Affimed N.V. (Nasdaq: AFMD), a clinical-stage immuno-oncology company committed to giving patients back their innate ability to fight cancer, reported that its Chief Executive Officer, Dr. Adi Hoess, will present at the SVB Leerink 9th Annual Global Healthcare Conference on Tuesday, February 25, 2020 at 10:30 a.m. Eastern Time (Press release, Affimed, FEB 19, 2020, View Source [SID1234554513]).

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A live webcast of the presentation can be accessed under the "Investors" section of Affimed’s website at View Source and will be available for 30 days following the event.

On February 19, 2020 Iovance Biotherapeutics, Inc. (NASDAQ: IOVA), a late-stage biotechnology company developing novel T cell-based cancer immunotherapies, reported that it will report its fourth quarter and full year 2019 financial results on Tuesday, February 25, 2020 (Press release, Iovance Biotherapeutics, FEB 19, 2020, View Source [SID1234554512]). Management will host a conference call and live audio webcast to discuss these results and provide a corporate update at 4:30 p.m. EST.

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To participate in the conference call, please dial 1-844-646-4465 (domestic) or 1-615-247-0257 (international) and reference the access code 4693108. The live webcast can be accessed in the Investors section of the Company’s website at www.iovance.com. The archived webcast will also be available for one year in the Investors section at www.iovance.com.

On February 19, 2020 NantHealth, Inc. (NASDAQ: NH), a next-generation, evidence-based, personalized healthcare company and NantOmics, LLC, the leader in molecular analysis, reported Real-world data for differential expression of immunoregulatory molecules and targetable cancer genes may provide therapeutic insights into agnostic-driven trial designs during an oral presentation at the Real World Evidence in Immunotherapy Session at the Clinical Immuno-Oncology Symposium, sponsored by the American Society of Clinical Oncology (ASCO) (Free ASCO Whitepaper) and the Society for Immunotherapy in Cancer (SITC) (Free SITC Whitepaper) (Press release, NantHealth, FEB 19, 2020, View Source [SID1234554509]).

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The Symposium, held at Rosen Shingle Creek in Orlando, FL from February 6-8, 2020 provides cutting-edge translational science and relevant clinical results to a diverse audience of leaders in oncology education, doctors and care teams.

"Our analysis shows that commonly evaluated mutations are associated with therapeutic targets for immunotherapy," said Sandeep "Bobby" Reddy, MD, Chief Medical Officer, NantHealth. "For example we saw high IDO expression in in patient samples with FBXW7 mutations. IDO has failed in clinical trials in the past but perhaps the wrong patient population was assessed. This data may help design better clinical trials which match the molecular phenotype with the best possible combination of therapies."

IDO1 (i.e. IDO) is the molecular target for several immunotherapy drugs (e.g. Epacadostat) that have failed in trials that selected patients based on tissue-type. FBXW7 mutants are significantly higher in IDO1 expression regardless of which tissue they show up in, and FXBW7 mutations are found in many tissue types. Agnostic-driven clinical trial designs using strategies to identify FBXW7 tumors that have higher expression of IDO1 may be a good strategy for these types of drugs.

In the study, authors utilized TCGA data and data collected from NantHealth’s GPS Cancer database on whole exome (WES) DNA tumor and paired normal and matched deep whole transcriptomic sequencing (RNA-Seq) to identify novel associations between oncogenic mutations and immune checkpoint therapeutic targets.

"CDKN2A mutation status was identified as associated with increased PD1 and CTLA4 expression while KRAS and APC mutations were assessed as associated with decreased PDL1/2 expression," said Christopher Szeto, Director of Machine Learning. "These mutation associations remained significant after accounting for tissue-specific expression patterns."

Title: "Real-world data validation for differential expression of immunoregulatory molecules and targetable cancer genes may provide therapeutic insights into agnostic-driven trial designs," Abstract #10
Authors: Jacob J. Adashek, Christopher Szeto, Sandeep K. Reddy, Philippe E. Spiess
Poster Session and Number:
Who: NantHealth, Inc. and NantOmics, LLC
What: Real World Evidence in Immunotherapy Session
When: February 6-8, 2020
Location: Rosen Shingle Creek

On February 19, 2020 NantOmics, LLC, the leader in molecular analysis, and NantHealth, Inc. (NASDAQ: NH), a next-generation, evidence-based, personalized healthcare company, reported the publication of a peer-reviewed study in Breast Cancer Research, a Springer Nature journal, on a novel AI technique in breast cancer (Press release, NantHealth, FEB 19, 2020, View Source [SID1234554508]). The study reports on a novel deep-learning system of digital pathology images and omics data used together to more precisely identify mechanisms of therapy resistance.

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NantOmics scientists trained a deep-neural network on diagnostic slide images from 443 breast tumors that had previously undergone PAM50 subtyping to classify patches of the tumor images into four major molecular subtypes of breast cancer (basal-like, HER2-enriched, luminal A, and luminal B). The algorithm was then validated and demonstrated the capability to establish accurate breast cancer sub-typing in 222 samples from a retained set of tumors. By focusing the neural-network’s attention on cancer-rich regions in the diagnostic images, this deep-learning algorithm identifies patient biopsies that are a mixture of different molecular subtypes, a classification that is less definable from molecular pathology techniques. Patients with heterogeneous biopsies such as mixtures of basal-like and luminal disease have a different survival profile than patients with homogeneous disease, and may potentially benefit from a more tailored therapy regimen.

"Breast cancer can be subtyped into at least five distinct disease-types with very different prognoses and responses to therapy. These subtypes are characterized as clinically important, yet are typically only achievable by RNA expression profiling," Dr. Patrick Soon-Shiong, MD, Chairman and CEO of NantHealth explained. "With this AI technique we achieved 87 percent accuracy rate in detecting which patients had basal-like breast cancer (i.e., triple negative breast cancer), one of the most aggressive subtypes," he said.

"Our analysis builds on our breadth of advanced machine learning technologies to better support providers in therapeutic decision-making and to improve the capabilities of the underlying molecular analysis technology platforms that we use at NantHealth and NantOmics," said Soon-Shiong. "Through the advances of machine vision and augmented intelligence, we have developed a rapid and cost-effective deep-learning technique to unlock the rich information in readily-available diagnostic slide images to define subtypes concordant with their underlying molecular designations."

Breast Cancer Research, a Springer Nature journal, is an international, peer-reviewed online journal publishing original research, reviews, editorials and reports in breast cancer. Breast Cancer Research is published by BMC, an open access publisher that produces over 250 scientific journals and according to its website, is "the highest ranked breast cancer focused title in the field."