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Pharmacogenomics Biomarker Discovery and Validation for Translation in Clinical Practice

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Journal Clin Transl Sci
Date 2020 Oct 22
PMID 33089968
Citations 30
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Abstract

Interindividual variability in drug efficacy and toxicity is a major challenge in clinical practice. Variations in drug pharmacokinetics (PKs) and pharmacodynamics (PDs) can be, in part, explained by polymorphic variants in genes encoding drug metabolizing enzymes and transporters (absorption, distribution, metabolism, and excretion) or in genes encoding drug receptors. Pharmacogenomics (PGx) has allowed the identification of predictive biomarkers of drug PKs and PDs and the current knowledge of genome-disease and genome-drug interactions offers the opportunity to optimize tailored drug therapy. High-throughput PGx genotyping, from targeted to more comprehensive strategies, allows the identification of PK/PD genotypes to be developed as clinical predictive biomarkers. However, a biomarker needs a robust process of validation followed by clinical-grade assay development and must comply to stringent regulatory guidelines. We here discuss the methodological challenges and the emerging technological tools in PGx biomarker discovery and validation, at the crossroad among molecular genetics, bioinformatics, and clinical medicine.

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References
1.
Antoniou M, Kolamunnage-Dona R, Wason J, Bathia R, Billingham C, Bliss J . Biomarker-guided trials: Challenges in practice. Contemp Clin Trials Commun. 2019; 16:100493. PMC: 6879976. DOI: 10.1016/j.conctc.2019.100493. View

2.
Battaglin F, Puccini A, Naseem M, Schirripa M, Berger M, Tokunaga R . Pharmacogenomics in colorectal cancer: current role in clinical practice and future perspectives. J Cancer Metastasis Treat. 2021; 4(3). PMC: 8442855. DOI: 10.20517/2394-4722.2018.04. View

3.
Arbitrio M, Scionti F, Altomare E, Di Martino M, Agapito G, Galeano T . Polymorphic Variants in NR1I3 and UGT2B7 Predict Taxane Neurotoxicity and Have Prognostic Relevance in Patients With Breast Cancer: A Case-Control Study. Clin Pharmacol Ther. 2019; 106(2):422-431. DOI: 10.1002/cpt.1391. View

4.
Agapito G, Settino M, Scionti F, Altomare E, Guzzi P, Tassone P . DMET Genotyping: Tools for Biomarkers Discovery in the Era of Precision Medicine. High Throughput. 2020; 9(2). PMC: 7362183. DOI: 10.3390/ht9020008. View

5.
Thavaneswaran S, Rath E, Tucker K, Joshua A, Hess D, Pinese M . Therapeutic implications of germline genetic findings in cancer. Nat Rev Clin Oncol. 2019; 16(6):386-396. DOI: 10.1038/s41571-019-0179-3. View