SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand

Raffaele Palmirotta1, Claudia Carella1, Erica Silvestris1

  • 1Department of Biomedical Sciences and Human Oncology, Section of Clinical and Molecular Oncology, University of Bari Aldo Moro, 70124 Bari, Italy.

Oncotarget
|June 5, 2018
PubMed

Insights

Germline genetic variations, or single nucleotide polymorphisms (SNPs), can predict chemotherapy response and toxicity. While some SNPs like DPYD and UGT are clinically actionable, others require more research for reliable patient treatment guidance.

Area of Science:

  • Oncology
  • Pharmacogenomics
  • Genetics

Background:

  • Chemotherapy remains a cornerstone of cancer treatment, but predicting patient response and toxicity is challenging.
  • Single nucleotide polymorphisms (SNPs) contribute significantly to individual differences in drug response.
  • Current clinical implementation of SNP-based predictors for chemotherapy is limited.

Purpose of the Study:

  • To review the clinical impact of germline genomic variants on the efficacy and toxicity of major chemotherapeutic agents.
  • To provide clinicians with a summary of complex molecular biology concepts and controversial trial data regarding SNP-based cancer treatment.

Main Methods:

  • Literature review of studies investigating the predictive role of SNPs in cancer chemotherapy.
  • Analysis of germline polymorphic variants in genes involved in drug metabolism and action.
  • Synthesis of evidence on the clinical utility of specific SNPs for predicting treatment outcomes.

Main Results:

  • SNPs in dihydropyrimidine dehydrogenase (DPYD) and uridine diphosphate glucuronosyltransferases (UGT) are established predictors of toxicity for specific chemotherapies.
  • Evidence for other SNPs (e.g., MTHFR, TYMS, ERCC1) in predicting efficacy or toxicity of various chemotherapeutics is often conflicting.
  • Mandatory testing for certain SNPs (DPYD, UGT) is recommended before initiating specific therapies.

Conclusions:

  • Germline genomic information, particularly for DPYD and UGT variants, can inform therapeutic decisions and improve patient safety.
  • Further research and consensus are needed for the routine clinical application of other identified SNPs in cancer treatment.
  • Integrating pharmacogenomic data holds promise for advancing precision medicine in oncology.

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