» Articles » PMID: 32872162

Pharmacogenomics to Predict Tumor Therapy Response: A Focus on ATP-Binding Cassette Transporters and Cytochromes P450

Overview
Journal J Pers Med
Date 2020 Sep 3
PMID 32872162
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Pharmacogenomics is an evolving tool of precision medicine. Recently, due to the introduction of next-generation sequencing and projects generating "Big Data", a plethora of new genetic variants in pharmacogenes have been discovered. Cancer resistance is a major complication often preventing successful anticancer treatments. Pharmacogenomics of both somatic mutations in tumor cells and germline variants may help optimize targeted treatments and improve the response to conventional oncological therapy. In addition, integrative approaches combining copy number variations and long noncoding RNA profiling with germline and somatic variations seem to be a promising approach as well. In pharmacology, expression and enzyme activity are traditionally the more studied aspects of ATP-binding cassette transporters and cytochromes P450. In this review, we briefly introduce the field of pharmacogenomics and the advancements driven by next-generation sequencing and outline the possible roles of genetic variation in the two large pharmacogene superfamilies. Although the evidence needs further substantiation, somatic and copy number variants as well as rare variants and common polymorphisms in these genes could all affect response to cancer therapy. Regulation by long noncoding RNAs has also been shown to play a role. However, in all these areas, more comprehensive studies on larger sets of patients are needed.

Citing Articles

Validation of single nucleotide polymorphisms potentially related to R-CHOP resistance in diffuse large B-cell lymphoma patients.

Perrone G, Rigacci L, Roviello G, Landini I, Fabbri A, Iovino L Cancer Drug Resist. 2024; 7:21.

PMID: 38835350 PMC: 11149109. DOI: 10.20517/cdr.2024.10.


4-phenyl butyric acid improves hepatic ischemia/reperfusion and affects gene expression of ABC transporter Abcc5 in rats.

Guven B, Tanoglu A, Ozcelik F, Tanoglu E, Kaya Terzi N Croat Med J. 2024; 64(6):391-403.

PMID: 38168520 PMC: 10797231.


Editorial: How pharmacogenomics, epigenetics, and data analysis could improve anticancer treatment?.

Jaafari A, Srinivasan S, Tilaoui M Front Pharmacol. 2022; 13:1067022.

PMID: 36438848 PMC: 9686424. DOI: 10.3389/fphar.2022.1067022.


Next-Generation Sequencing and Bioinformatics-Based Protocol for the Full-Length Gene Polymorphism Analysis.

Igumnova V, Kivrane A, Viksna A, Norvaisa I, Ranka R Pharmgenomics Pers Med. 2022; 15:959-965.

PMID: 36393979 PMC: 9653044. DOI: 10.2147/PGPM.S371709.


Drug Repurposing in Cancer Therapy: Influence of Patient's Genetic Background in Breast Cancer Treatment.

Rodrigues R, Duarte D, Vale N Int J Mol Sci. 2022; 23(8).

PMID: 35457144 PMC: 9028365. DOI: 10.3390/ijms23084280.


References
1.
Megias-Vericat J, Rojas L, Herrero M, Boso V, Montesinos P, Moscardo F . Influence of ABCB1 polymorphisms upon the effectiveness of standard treatment for acute myeloid leukemia: a systematic review and meta-analysis of observational studies. Pharmacogenomics J. 2015; 15(2):109-18. DOI: 10.1038/tpj.2014.80. View

2.
Daly A . Pharmacogenetics: a general review on progress to date. Br Med Bull. 2017; 124(1):65-79. DOI: 10.1093/bmb/ldx035. View

3.
Lal S, Wong Z, Sandanaraj E, Xiang X, Ang P, Lee E . Influence of ABCB1 and ABCG2 polymorphisms on doxorubicin disposition in Asian breast cancer patients. Cancer Sci. 2008; 99(4):816-23. PMC: 11158672. DOI: 10.1111/j.1349-7006.2008.00744.x. View

4.
Firth H, Richards S, Bevan A, Clayton S, Corpas M, Rajan D . DECIPHER: Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources. Am J Hum Genet. 2009; 84(4):524-33. PMC: 2667985. DOI: 10.1016/j.ajhg.2009.03.010. View

5.
Petrovic J, Pesic V, Lauschke V . Frequencies of clinically important CYP2C19 and CYP2D6 alleles are graded across Europe. Eur J Hum Genet. 2019; 28(1):88-94. PMC: 6906321. DOI: 10.1038/s41431-019-0480-8. View