Genetic Interaction-Based Biomarkers Identification for Drug Resistance and Sensitivity in Cancer Cells.

ABSTRACT: Cancer cells generally harbor hundreds of alterations in the cancer genomes and act as crucial factors in the development and progression of cancer. Gene alterations in the cancer genome form genetic interactions, which affect the response of patients to drugs. We developed an algorithm that mines copy number alteration and whole-exome mutation profiles from The Cancer Genome Atlas (TCGA), as well as functional screen data generated to identify potential genetic interactions for specific cancer types. As a result, 4,529 synthetic viability (SV) interactions and 10,637 synthetic lethality (SL) interactions were detected. The pharmacogenomic datasets revealed that SV interactions induced drug resistance in cancer cells and that SL interactions mediated drug sensitivity in cancer cells. Delet

SUBMITTER: Han Y 

PROVIDER: S-EPMC6700431 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature