Pan-Cancer Prediction of Cell-Line Drug Sensitivity Using Network-Based Methods.

ABSTRACT: The development of reliable predictive models for individual cancer cell lines to identify an optimal cancer drug is a crucial step to accelerate personalized medicine, but vast differences in cancer cell lines and drug characteristics make it quite challenging to develop predictive models that result in high predictive power and explain the similarity of cell lines or drugs. Our study proposes a novel network-based methodology that breaks the problem into smaller, more interpretable problems to improve the predictive power of anti-cancer drug responses in cell lines. For the drug-sensitivity study, we used the GDSC database for 915 cell lines and 200 drugs. The theory of optimal mass transport was first used to separately cluster cell lines and drugs, using gene-expression profiles and ex

SUBMITTER: Pouryahya M 

PROVIDER: S-EPMC8835038 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature