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Predicting drug response based on gene expression

Abstract : Predicting drug response is a challenging problem in oncology. In the 1975-1985 decade, important efforts were devoted to the generation of cellular assays able to predict, on an individual basis, the in vitro response of tumour cells to chemotherapeutic agents, but such methods could not be adopted in routine. Numerous mechanisms of resistance to anticancer agents have been identified in cultured cell lines selected for growth in the presence of infratoxic, increasing doses of anticancer agents. They mainly concern drug transport, drug activation or detoxification, target quantitative or qualitative alterations, DNA repair efficiency, and alterations in signalling and/or execution of cell death programmes. New molecular biology techniques have been developed in order to identify the genes involved in drug resistance; they mainly involve differential expression techniques, but functional approaches may also prove informative. The availability of techniques of gene expression profiling has allowed to establish correlations between gene expression and drug sensitivity of tumour cells or human cancers. This type of approach has been initiated on in vitro systems by the National Cancer Institute (NCI) in the USA and is pursued by a growing number of public and private laboratories around the world. In the clinical setting, a number of genes or proteins have been identified as potential predictive markers of drug activity and their use could be progressively implemented for drug selection in patients receiving chemotherapy, allowing thus more rational and individualised treatments.
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Contributor : Philippe Pourquier Connect in order to contact the contributor
Submitted on : Tuesday, January 14, 2020 - 12:08:59 PM
Last modification on : Monday, February 15, 2021 - 10:38:50 AM

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Jacques Robert, Antoine Vekris, Philippe Pourquier, Jacques Bonnet. Predicting drug response based on gene expression. Critical Reviews in Oncology/Hematology, Elsevier, 2004, 51 (3), pp.205-227. ⟨10.1016/j.critrevonc.2004.06.002⟩. ⟨inserm-02438642⟩



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