Pharmacogenomics for the efficacy of platinum-based chemotherapy: Old drugs, new integrated perspective

Chen-Xue Mao1, Min Li2, Wei Zhang3

  • 1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, PR China; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, PR China; Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha 410078, PR China.

Insights

Identifying effective platinum-based chemotherapy requires new biomarkers. This review explores multifactorial markers, including genetics and gut microbes, to predict patient response and overcome platinum resistance.

Area of Science:

  • Oncology and Pharmacology
  • Genomics and Microbiomics

Background:

  • Platinum-based chemotherapy is a primary cancer treatment.
  • Individual patient response varies significantly.
  • Current clinical practice lacks biomarkers for predicting platinum drug efficacy and stratifying patients.

Purpose of the Study:

  • To critically review potential pharmacogenomic biomarkers for platinum drug efficacy.
  • To provide a comprehensive, time-varying perspective integrating multiple markers.
  • To address the need for biomarkers in personalized cancer therapy.

Main Methods:

  • Literature review of high-throughput screening techniques.
  • Systems biology approaches to understand platinum resistance.
  • Analysis of multifactorial determinants of drug response.

Main Results:

  • Platinum resistance is a complex, dynamic process influenced by genetic background, tumor evolution, and gut microbiota.
  • Multiple pharmacogenomic biomarkers show potential for predicting treatment outcomes.
  • Integration of diverse markers offers a more holistic view of drug response.

Conclusions:

  • Pharmacogenomic biomarkers are crucial for optimizing platinum-based chemotherapy.
  • A multifactorial and dynamic approach is needed to predict treatment efficacy.
  • Future research should focus on integrating diverse markers for clinical application.

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