Optimizing drug combination and mechanism analysis based on risk pathway crosstalk in pan cancer.

ABSTRACT: Combination therapy can greatly improve the efficacy of cancer treatment, so identifying the most effective drug combination and interaction can accelerate the development of combination therapy. Here we developed a computational network biological approach to identify the effective drug which inhibition risk pathway crosstalk of cancer, and then filtrated and optimized the drug combination for cancer treatment. We integrated high-throughput data concerning pan-cancer and drugs to construct miRNA-mediated crosstalk networks among cancer pathways and further construct networks for therapeutic drug. Screening by drug combination method, we obtained 687 optimized drug combinations of 83 first-line anticancer drugs in pan-cancer. Next, we analyzed drug combination mechanism, and confirmed that

SUBMITTER: Hu C 

PROVIDER: S-EPMC10791624 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature