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Updated: Jun 27, 2026

Multi-Gene Single Nucleotide Polymorphism Detection in Gastric Cancer Based on Ion Semiconductor Sequencing Platform
Published on: May 10, 2024
Pharmacogenetics in breast cancer therapy
Sing-Huang Tan1, Soo-Chin Lee, Boon-Cher Goh
1Department of Hematology-Oncology, National University of Singapore, National University Health System, Singapore, Singapore.
Genetic variations in drug-metabolizing enzymes and transporters influence drug response. Polymorphisms in genes like CYP2D6 affect tamoxifen efficacy, and further research is needed for other chemotherapy agents.
Area of Science:
- Pharmacogenetics
- Genomics
- Drug Metabolism
Background:
- Genetic polymorphisms in drug-metabolizing enzymes and transporters contribute to variable drug pharmacokinetics and pharmacodynamics.
- Interindividual and interethnic differences in these genetic variants impact drug efficacy and toxicity.
Purpose of the Study:
- To review the current understanding of genetic polymorphisms influencing the disposition and efficacy of various cancer therapeutics.
- To highlight the need for validation of findings from smaller studies in larger clinical trials.
Main Methods:
- Review of published literature on genetic polymorphisms related to tamoxifen, anthracyclines, taxanes, gemcitabine, capecitabine/5-fluorouracil, vinorelbine, and platinum agents.
- Discussion of candidate genes for targeted agents and future research directions.
Main Results:
- CYP2D6 polymorphisms significantly affect tamoxifen disposition and efficacy, with notable interethnic variations.
- Associations between polymorphisms in genes like CBR3, ABCB1, and oxidative stress genes and anthracycline outcomes have been reported.
- Earlier findings on taxane pharmacogenetics from small studies require validation in larger trials.
Conclusions:
- Genetic variability plays a crucial role in cancer drug response, necessitating pharmacogenetic approaches for personalized medicine.
- Future research should integrate multiple drug pathways to comprehensively analyze genetic factors influencing drug efficacy and toxicity.
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