Literature DB >> 34902118

Tools in Pharmacogenomics Biomarker Identification for Cancer Patients.

Francesca Scionti1, Maria Teresa Di Martino2, Daniele Caracciolo2, Licia Pensabene3, Pierosandro Tagliaferri2, Mariamena Arbitrio4.   

Abstract

The understanding of the biological differences which underlie the inter-individual variability in drug response improved the efficacy of cancer therapy in the era of precision medicine. In fact molecularly targeted drugs and immunotherapy represent a revolution in cancer treatment. The identification of genetic predictive and/or prognostic biomarkers linked to drug pharmacokinetics (PK) and pharmacodynamics (PD) is allowed by the development of high-throughput omics tools for detecting and understanding biological differences among individuals, in order to improve drug efficacy and minimize risk of toxicity. Personalized medicine in cancer treatment reduces costs of the healthcare system. Unfortunately, pharmacogenomics biomarkers discovery is influenced by complexity, need of high-quality evidence, and a validation process for regulatory purposes. This chapter is focused on the critic analysis of presently available pharmacogenomics tools for discovering or testing genetic polymorphic variants in drug metabolizing enzyme to be introduced in clinical practice for the prospective stratification of cancer patients.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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Keywords:  ADME genes; Biomarker discovery tools; Pharmacogenomics; Precision medicine

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Year:  2022        PMID: 34902118     DOI: 10.1007/978-1-0716-1839-4_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  Polymorphic Variants in NR1I3 and UGT2B7 Predict Taxane Neurotoxicity and Have Prognostic Relevance in Patients With Breast Cancer: A Case-Control Study.

Authors:  Mariamena Arbitrio; Francesca Scionti; Emanuela Altomare; Maria Teresa Di Martino; Giuseppe Agapito; Teresa Galeano; Nicoletta Staropoli; Eleonora Iuliano; Francesco Grillone; Fernanda Fabiani; Daniele Caracciolo; Mario Cannataro; Grazia Arpino; Daniele Santini; Pierfrancesco Tassone; Pierosandro Tagliaferri
Journal:  Clin Pharmacol Ther       Date:  2019-03-28       Impact factor: 6.875

  1 in total

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