Pharmacogenetic Predictors of Response

Adv Exp Med Biol. 2016:882:191-215. doi: 10.1007/978-3-319-22909-6_8.

Abstract

Pharmacogenetics attempts to predict treatment response using a patient's "germline" genome as the biomarker of interest. This chapter on pharmacogenetic predictors of breast cancer response is divided into four sections. The first introduces readers to genetic variation and describes how variation in the germline genome can affect biology or pharmacology. The second section introduces the translational pathway for pharmacogenetic research and discusses the specific challenges to identifying pharmacogenetic predictors of breast cancer response. The third section is divided into three subsections, each of which discusses a distinct category of pharmacogenetic response predictors; pharmacokinetics, cancer cell sensitivity, and effector cell activation. Within each subsection a specific pharmacogenetic association is described in detail; CYP2D6-tamoxifen, BRCA-PARP inhibitors, and FCGRA-trastuzumab, respectively, followed by a general discussion of other less well-established examples or areas for further research. The chapter concludes with a summary of the current status of pharmacogenetic predictors of breast cancer response and a few predictions for the future of this field.

Keywords: BRCA; CYP2D6; Cancer-cell sensitivity; Effector-cell activation; FCGR; Germline polymorphism; Pharmacogenetics; Pharmacokinetic predictors.

Publication types

  • Review

MeSH terms

  • Animals
  • Antineoplastic Agents / pharmacokinetics
  • Antineoplastic Agents / therapeutic use*
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Biotransformation / genetics
  • Breast Neoplasms / drug therapy*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / mortality
  • Breast Neoplasms / pathology
  • Female
  • Genetic Predisposition to Disease
  • Genetic Testing
  • Humans
  • Molecular Targeted Therapy
  • Patient Selection
  • Pharmacogenetics*
  • Phenotype
  • Precision Medicine
  • Predictive Value of Tests
  • Signal Transduction / drug effects
  • Treatment Outcome

Substances

  • Antineoplastic Agents
  • Biomarkers, Tumor