Pharmacogenomics of chemotherapeutic susceptibility and toxicity

Erika L Moen1, Lucy A Godley2, Wei Zhang3

  • 1Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL 60637, USA.

Genome Medicine
|December 4, 2012
PubMed

Insights

Personalized medicine uses genetic information to tailor cancer treatments. Pharmacogenomics identifies genetic markers for chemotherapy response and toxicity, but clinical implementation faces challenges.

Area of Science:

  • Oncology
  • Pharmacogenomics
  • Genetics

Background:

  • Personalized medicine aims to customize treatments based on individual genetic makeup.
  • Pharmacogenomics investigates how genetic variations influence drug response and toxicity.
  • Oncology is increasingly adopting personalized medicine strategies, particularly pharmacogenomics.

Purpose of the Study:

  • To review the role of germline genetic variation in chemotherapeutic toxicity and response.
  • To discuss the application of genome-wide association studies and lymphoblastoid cell lines (LCLs) in pharmacogenomic research.
  • To highlight recent discoveries of genetic variants impacting chemotherapy outcomes and explore future directions.

Main Methods:

  • Review of existing literature on pharmacogenomics in cancer treatment.
  • Analysis of genome-wide association studies (GWAS).
  • Utilizing lymphoblastoid cell lines (LCLs) for pharmacogenomic investigations.

Main Results:

  • Identification of pharmacogenetic markers predicting chemotherapy response and toxicity.
  • Examples of genetic variants associated with chemotherapy outcomes in patient cohorts and LCLs.
  • Advances in genotyping and sequencing technologies facilitate pharmacogenetic discoveries.

Conclusions:

  • Germline genetic variation significantly impacts chemotherapeutic toxicity and response.
  • Genome-wide association studies and LCLs are valuable tools in pharmacogenomic discovery.
  • Clinical implementation of pharmacogenetic markers remains a challenge, requiring further research and development.

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