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- Title
Optimizing drug combination and mechanism analysis based on risk pathway crosstalk in pan cancer.
- Authors
Hu, Congxue; Mi, Wanqi; Li, Feng; Zhu, Lun; Ou, Qi; Li, Maohao; Li, Tengyue; Ma, Yuheng; Zhang, Yunpeng; Xu, Yingqi
- 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 the targets of cancer-specific crosstalk network in drug combination were closely related to cancer prognosis by survival analysis. Finally, we save all the results to a webpage for query (http://bio-bigdata.hrbmu.edu.cn/oDrugCP/). In conclusion, our study provided an effective method for screening precise drug combinations for various cancer treatments, which may have important scientific significance and clinical application value for tumor treatment.
- Subjects
RISK assessment; BIOLOGICAL networks; ANTINEOPLASTIC agents; DRUG interactions; TUMOR treatment
- Publication
Scientific Data, 2024, Vol 11, Issue 1, p1
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-024-02915-y