Predicting and affecting response to cancer therapy based on pathway-level biomarkers.
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ABSTRACT:
SUBMITTER: Ben-Hamo R
PROVIDER: S-EPMC7335104 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Publications
Predicting and affecting response to cancer therapy based on pathway-level biomarkers.
Ben-Hamo Rotem R Jacob Berger Adi A Gavert Nancy N Miller Mendy M Pines Guy G Oren Roni R Pikarsky Eli E Benes Cyril H CH Neuman Tzahi T Zwang Yaara Y Efroni Sol S Getz Gad G Straussman Ravid R
Nature communications 20200703 1
Identifying robust, patient-specific, and predictive biomarkers presents a major obstacle in precision oncology. To optimize patient-specific therapeutic strategies, here we couple pathway knowledge with large-scale drug sensitivity, RNAi, and CRISPR-Cas9 screening data from 460 cell lines. Pathway activity levels are found to be strong predictive biomarkers for the essentiality of 15 proteins, including the essentiality of MAD2L1 in breast cancer patients with high BRCA-pathway activity. We als ...[more]
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