Progress in Anticancer-drug Prediction Models / 中国药学杂志

ABSTRACT

In the current clinical medication, there is no method to confirm the sensitivity of patients with different genotypes to corresponding anticancer-drugs and also lack of response to side effects and drug resistance. In recent years, the development of high-throughput technology has made it possible to screen chemotherapeutic drugs on a large scale in cancer cell lines, and generated a large number of omics-data. Currently, based on these data, many predictive models of anticancer-drugs have been established, which will be helpful to predict and optimize the drug targets for cancer patients. This paper reviews the research progress of anticancer-drug prediction models.