Intrinsic or acquired drug resistance, adverse drug reactions and tumor heterogeneity between and within cancer patients limit the efficacy of clinical management of advanced cancers. To overcome these barriers, predictive biomarkers have recently emerged to guide medical oncologists in the selection of cancer patients who will respond to various anticancer treatments and to improve the toxicity to benefit ratio. Notably, targeted therapy has significantly benefited from these advances, but the application of predictive biomarkers have been a bit slower with some drugs derived from natural sources such as trabectedin, cabazitaxel and alvocidib. In this paper, we discuss some recent advances regarding the use of cancer biomarkers to predict efficacy of some selected natural compounds with a focus on human clinical studies.
El Bairi K, Atanasov AG, Amrani M, Afqir S. The arrival of predictive biomarkers for monitoring therapy response to natural compounds in cancer drug discovery. Biomed Pharmacother. 2019 Jan;109:2492-2498. doi: 10.1016/j.biopha.2018.11.097.
Keywords: predictive biomarkers for monitoring therapy response, natural compounds in cancer drug discovery, Khalid El Bairi, Atanas G. Atanasov, trabectedin, cabazitaxel, alvocidib, human clinical studies, targeted therapy, toxicity to benefit ratio, anticancer treatments, adverse drug reactions, drug resistance, Khalid El Bairi et al, 2019.
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