Evaluating a therapeutic window for precision medicine by integrating genomic profiles and p53 network dynamics.

ABSTRACT: The response variation to anti-cancer drugs originates from complex intracellular network dynamics of cancer. Such dynamic networks present challenges to determining optimal drug targets and stratifying cancer patients for precision medicine, although several cancer genome studies provided insights into the molecular characteristics of cancer. Here, we introduce a network dynamics-based approach based on attractor landscape analysis to evaluate the therapeutic window of a drug from cancer signaling networks combined with genomic profiles. This approach allows for effective screening of drug targets to explore potential target combinations for enhancing the therapeutic window of drug responses. We also effectively stratify patients into desired/undesired response groups using critical genom

SUBMITTER: Choi M 

PROVIDER: S-EPMC9452682 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature