» Articles » PMID: 29861877

SNPs in Predicting Clinical Efficacy and Toxicity of Chemotherapy: Walking Through the Quicksand

Overview
Journal Oncotarget
Specialty Oncology
Date 2018 Jun 5
PMID 29861877
Citations 21
Authors
Affiliations
Soon will be listed here.
Abstract

In the "precision medicine" era, chemotherapy still remains the backbone for the treatment of many cancers, but no affordable predictors of response to the chemodrugs are available in clinical practice. Single nucleotide polymorphisms (SNPs) are gene sequence variations occurring in more than 1% of the full population, and account for approximately 80% of inter-individual genomic heterogeneity. A number of studies have investigated the predictive role of SNPs of genes enrolled in both pharmacodynamics and pharmacokinetics of chemotherapeutics, but the clinical implementation of related results has been modest so far. Among the examined germline polymorphic variants, several SNPs of (DPYD) and (UGT) have shown a robust role as predictors of toxicity following fluoropyrimidine- and/or irinotecan-based treatments respectively, and a few guidelines are mandatory in their detection before therapy initiation. Contrasting results, however, have been reported on the capability of variants of other genes as MTHFR, TYMS, ERCC1, XRCC1, GSTP1, CYP3A4/3A5 and ABCB1, in predicting either therapy efficacy or toxicity in patients undergoing treatment with pyrimidine antimetabolites, platinum derivatives, irinotecan and taxanes. While formal recommendations for routine testing of these SNPs cannot be drawn at this moment, therapeutic decisions may indeed benefit of germline genomic information, when available. Here, we summarize the clinical impact of germline genomic variants on the efficacy and toxicity of major chemodrugs, with the aim to facilitate the therapeutic expectance of clinicians in the odiern quicksand field of complex molecular biology concepts and controversial trial data interpretation.

Citing Articles

Prodrugs in Oncology: Bioactivation and Impact on Therapeutic Efficacy and Toxicity.

Kurian R, Wang H Int J Mol Sci. 2025; 26(3).

PMID: 39940757 PMC: 11816641. DOI: 10.3390/ijms26030988.


Pharmacogenomics influence on MDR1-associated cancer resistance and innovative drug delivery approaches: advancing precision oncology.

Radhakrishnan A, Shanmukhan N, Samuel L Med Oncol. 2025; 42(3):67.

PMID: 39913003 DOI: 10.1007/s12032-025-02611-w.


Are the Common Genetic 3'UTR Variants in ADME Genes Playing a Role in Tolerance of Breast Cancer Chemotherapy?.

Tecza K, Kalinowska-Herok M, Rusinek D, Zajkowicz A, Pfeifer A, Oczko-Wojciechowska M Int J Mol Sci. 2024; 25(22).

PMID: 39596349 PMC: 11594993. DOI: 10.3390/ijms252212283.


Analysis of the current situation of pharmacogenomics in terms of educational and healthcare needs in Egypt and Lebanon.

El-Gowilly S, Metwaly H, Makhlouf D, Elmansoury N, Abuiessa S, Sorour A Pharmacogenomics. 2024; 25(10-11):429-440.

PMID: 39382016 PMC: 11492645. DOI: 10.1080/14622416.2024.2403967.


Analysis of prognostic germline polymorphisms in patients with advanced hepatocellular carcinoma.

Herman M, Lok B, Gallinger S, Dawson L, Kim R, Cheng D Transl Gastroenterol Hepatol. 2023; 8:32.

PMID: 38021355 PMC: 10643180. DOI: 10.21037/tgh-23-22.


References
1.
Frederiks C, Lam S, Guchelaar H, Boven E . Genetic polymorphisms and paclitaxel- or docetaxel-induced toxicities: A systematic review. Cancer Treat Rev. 2015; 41(10):935-50. DOI: 10.1016/j.ctrv.2015.10.010. View

2.
Mattison L, Johnson M, Diasio R . A comparative analysis of translated dihydropyrimidine dehydrogenase cDNA; conservation of functional domains and relevance to genetic polymorphisms. Pharmacogenetics. 2002; 12(2):133-44. DOI: 10.1097/00008571-200203000-00007. View

3.
Beutler E, Gelbart T, Demina A . Racial variability in the UDP-glucuronosyltransferase 1 (UGT1A1) promoter: a balanced polymorphism for regulation of bilirubin metabolism?. Proc Natl Acad Sci U S A. 1998; 95(14):8170-4. PMC: 20948. DOI: 10.1073/pnas.95.14.8170. View

4.
Mathijssen R, de Jong F, van Schaik R, Lepper E, Friberg L, Rietveld T . Prediction of irinotecan pharmacokinetics by use of cytochrome P450 3A4 phenotyping probes. J Natl Cancer Inst. 2004; 96(21):1585-92. DOI: 10.1093/jnci/djh298. View

5.
Hamidovic A, Hahn K, Kolesar J . Clinical significance of ABCB1 genotyping in oncology. J Oncol Pharm Pract. 2009; 16(1):39-44. PMC: 2894614. DOI: 10.1177/1078155209104380. View