Literature DB >> 26987536

Pharmacogenetic Predictors of Response.

Daniel L Hertz1, James M Rae2.   

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.

Entities:  

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

Mesh:

Substances:

Year:  2016        PMID: 26987536     DOI: 10.1007/978-3-319-22909-6_8

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

Review 1.  Implementation of a Precision Pathology Program Focused on Oncology-Based Prognostic and Predictive Outcomes.

Authors:  Michael J Donovan; Carlos Cordon-Cardo
Journal:  Mol Diagn Ther       Date:  2017-04       Impact factor: 4.074

2.  Sequential analysis of transcript expression patterns improves survival prediction in multiple cancers.

Authors:  Jordan Mandel; Raghunandan Avula; Edward V Prochownik
Journal:  BMC Cancer       Date:  2020-04-07       Impact factor: 4.430

  2 in total

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