Tissue Phenomics Blog

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Topics:  predictive test, image analysis, clinical trials, Immunotherapy, oncology, tumor microenvironment

Evaluation of the Tumor Microenvironment Using Image Analysis for Clinical Trials

May 8, 2017 7:30:00 AM

Advances in immunotherapy have dramatically changed the landscape for cancer researchers. With significant improvements in overall survival and recurrent free survival in some of the deadliest cancers, lives have been extended by years for some patients while other patients have not experienced benefit from immunotherapy treatment. For some cancer indications, such as non-small cell lung cancer, the FDA approved companion diagnostic test for PD-L1 by immunohistochemistry has predictive value on patient response. However, the test is not a perfect indicator of response as some PD-L1 negative patients will respond to therapy and, conversely, some PD-L1 positive patients will not. At the same time, the number of clinical trials examining immunotherapy and combination therapies with immunotherapy as a backbone has exceeded 1000 in 2017. The possibility of combination therapy brings many questions to light for the researcher and ultimately the physician on which therapy to choose, for how long, in what order and what potential combination. With these questions, comes the increasing need for predictive tests that can lead the physician to the right therapy at the right time.

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Topics:  predictive test, personalized medicine, tissue phenomics, biomarkers, cancer diagnostics, companion diagnostics, tissue markers, oncology, prognostic test

Tissue Phenomics™ - Complementing Genomics for Improved Cancer Diagnostics

Jul 15, 2014 12:00:00 AM

One way to develop prognostic and predictive tests in oncology is through the use of genomic biomarkers. And as more diagnostics companies are recognizing the potential benefits of this method, we’re seeing an increase in the number of companion diagnostic tests relying on gene-based biomarkers. Another reason for this continued trend towards personalized medicine is the continually decreasing costs of whole-genome sequencing.

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