ArticleScientific data2024
Optimizing drug combination and mechanism analysis based on risk pathway crosstalk in pan cancer.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Synergistic combinatorial anticancer potential of Tamoxifen with Naringin and Diosmetin in MCF-7 breast cancer cells and their liposomal delivery.Scientific reports · 2026Article
- Epigenetic and mitoepigenetic regulation in cancer and therapeutic perspectives.Frontiers in pharmacology · 2026Review
- Discovering anticancer drug target combinations via network-informed signaling-based approach.Communications medicine · 2025Article
- Synergistic Combinations of Native Australian Plants For Skin Inflammation and Wound Healing.Biomedicines · 2025Article
- Chaperone directed heterobifunctional molecules circumvent KRASCancer letters · 2025Article
- Scaling up drug combination surface prediction.Briefings in bioinformatics · 2025Article
- The Protective Effect of GnRH Agonist Triptorelin on the Histomorphometric Parameters of the Utero-ovarian Tissue in the Doxorubicin- and Cyclophosphamide-treated Mice.Cell biochemistry and biophysics · 2025Article
- Molecular principles underlying aggressive cancers.Signal transduction and targeted therapy · 2025Review
- The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south.Frontiers in digital health · 2025Article
- Review
- Review
- Anticancer Target Combinations: Network-Informed Signaling-Based Approach to Discovery.bioRxiv : the preprint server for biology · 2024Article
- Isorhamnetin: what is theFrontiers in pharmacology · 2024Review
Corrections and comments
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Authors and funding
10 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.