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OncoHost Data on Host Immunotherapy Response to be Presented This Week

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OncoHost, announced on 5th October that Professor Yuval Shaked, co-founder and Chief Scientific Advisor at OncoHost, and Professor of Cell Biology and Cancer Science at the Technion – Israel Institute of Technology, will deliver a presentation titled A Proteomics-Based Platform for Predicting Response to Immunotherapy and Personalizing Treatment Plans at the MAP 2020 Virtual Congress - ESMO this Friday, October 9th at 17:20 PM CEST.

The presentation will show how through the analysis of host response profiles (i.e. the patient’s reaction), oncologists may be able to harness this information to better predict clinical outcomes and suggest the ideal combination treatment with immunotherapy.

“Despite major clinical success, immunotherapy treatments have demonstrated efficacy in only a small proportion of patients with non-small cell lung cancer (NSCLC),” said Prof. Yuval Shaked. “OncoHost’s studies have indicated that individual host response to anti-cancer treatment can generate pro-tumorigenic activities and support tumor re-growth and spread. It is therefore vital to analyze and earlier predict host response to treatment in order to improve outcomes and reduce unnecessary side effects experienced by so many patients.”

Using machine learning (ML)-based analysis and algorithms to identify highly predictive cohort-based proteomic signatures in patients, personalized response prediction can be used to improve precision medicine in oncology. Personalized treatment plans can then be created through information based on cohort-based statistical analysis, personalized adaption and finally, translation to clinically relevant targets.

Prof. Shaked’s presentation will include a real-life case study on whom a Host Response profile analysis was performed, and will be followed by a live Q&A.

MAP is the leading congress in precision medicine in oncology in Europe, established by key opinion leaders in the field. The name of the Congress was recently changed into Molecular Analysis for Precision Oncology to better reflect its aims of focusing on science, translational research, education and collaboration. This year’s event will be held virtually on October 9-10.