Clinical outcomes of chemotherapy in cancer patients with different ethnicities

Cancer Rep (Hoboken). 2023 Sep;6 Suppl 1(Suppl 1):e1830. doi: 10.1002/cnr2.1830. Epub 2023 May 7.

Abstract

Background: Choosing the most effective chemotherapeutic agent with safest side effect profile is a common challenge in cancer treatment. Although there are standardized chemotherapy protocols in place, protocol changes made after extensive clinical trials demonstrate significant improvement in the efficacy and tolerability of certain drugs. The pharmacokinetics, pharmacodynamics, and tolerance of anti-cancer medications are all highly individualized. A driving force behind these differences lies within a person's genetic makeup.

Recent findings: Pharmacogenomics, the study of how an individual's genes impact the processing and action of a drug, can optimize drug responsiveness and reduce toxicities by creating a customized medication regimen. However, these differences are rarely considered in the initial determination of standardized chemotherapeutic protocols and treatment algorithms. Because pharmacoethnicity is influenced by both genetic and nongenetic variables, clinical data highlighting disparities in the frequency of polymorphisms between different ethnicities is steadily growing. Recent data suggests that ethnic variations in the expression of allelic variants may result in different pharmacokinetic properties of the anti-cancer medication. In this article, the clinical outcomes of various chemotherapy classes in patients of different ethnicities were reviewed.

Conclusion: Genetic and nongenetic variables contribute to the interindividual variability in response to chemotherapeutic drugs. Considering pharmacoethnicity in the initial determination of standard chemotherapeutic protocols and treatment algorithms can lead to better clinical outcomes of patients of different ethnicities.

Keywords: cancer; chemotherapeutics; dosage forms; ethnic variation; racial variation; treatment outcomes.

Publication types

  • Review

MeSH terms

  • Humans
  • Neoplasms* / drug therapy
  • Neoplasms* / genetics
  • Polymorphism, Genetic