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      Application of pharmacogenetics in oncology

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          Abstract

          The term “pharmacogenetics” is used to describe the study of variability in drug response due to heredity. It is associated with “gene – drug interactions”. Later on, the term “pharmacogenomics” has been introduced and it comprises all genes in the genome that can define drug response. The application of pharmacogenetics in oncology is of a great significance because of the narrow therapeutic index of chemotherapeutic drugs and the risk for life-threatening adverse effects. Many cancer genomics studies have been focused on the acquired, somatic mutations; however, increasing evidence shows that inherited germline genetic variations play a key role in cancer risk and treatment outcome. The aim of this review is to summarize the state of pharmacogenomics in oncology, focusing only on germline mutations. Genetic polymorphisms can be found in the genes that code for the metabolic enzymes and cellular targets for most of the chemotherapy drugs. Nevertheless, predicting treatment outcome is still not possible for the majority of regimens. In this review, we discuss the most comprehensively studied drug-gene pairs – present knowledge and current limitations. However, further studies in larger groups of cancer patients are necessary to be conducted with precise validation of pharmacogenetic biomarkers before these markers could be routinely applied in clinical diagnosis and treatment.

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          Most cited references33

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          Glutathione transferases: substrates, inihibitors and pro-drugs in cancer and neurodegenerative diseases

          Glutathione transferase classical GSH conjugation activity plays a critical role in cellular detoxification against xenobiotics and noxious compounds as well as against oxidative stress. However, this feature is also exploited by cancer cells to acquire drug resistance and improve their survival. As a result, various members of the family were found overexpressed in a number of different cancers. Moreover several GST polymorphisms, ranging from null phenotypes to point mutations, were detected in members of the family and found to correlate with the onset of neuro-degenerative diseases. In the last decades, a great deal of research aimed at clarifying the role played by GSTs in drug resistance, at developing inhibitors to counteract this activity but also at exploiting GSTs for prodrugs specific activation in cancer cells. Here we summarize some of the most important achievements reached in this lively area of research.
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            Individualization of Irinotecan Treatment: A Review of Pharmacokinetics, Pharmacodynamics, and Pharmacogenetics

            Since its clinical introduction in 1998, the topoisomerase I inhibitor irinotecan has been widely used in the treatment of solid tumors, including colorectal, pancreatic, and lung cancer. Irinotecan therapy is characterized by several dose-limiting toxicities and large interindividual pharmacokinetic variability. Irinotecan has a highly complex metabolism, including hydrolyzation by carboxylesterases to its active metabolite SN-38, which is 100- to 1000-fold more active compared with irinotecan itself. Several phase I and II enzymes, including cytochrome P450 (CYP) 3A4 and uridine diphosphate glucuronosyltransferase (UGT) 1A, are involved in the formation of inactive metabolites, making its metabolism prone to environmental and genetic influences. Genetic variants in the DNA of these enzymes and transporters could predict a part of the drug-related toxicity and efficacy of treatment, which has been shown in retrospective and prospective trials and meta-analyses. Patient characteristics, lifestyle and comedication also influence irinotecan pharmacokinetics. Other factors, including dietary restriction, are currently being studied. Meanwhile, a more tailored approach to prevent excessive toxicity and optimize efficacy is warranted. This review provides an updated overview on today’s literature on irinotecan pharmacokinetics, pharmacodynamics, and pharmacogenetics.
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              Gene expression of ERCC1 as a novel prognostic marker in advanced bladder cancer patients receiving cisplatin-based chemotherapy.

              Customizing chemotherapy on the basis of chemosentitivity prediction may improve outcome in advanced bladder cancer patients. Since DNA damaging agents are the cornerstones of therapy, we hypothesized that levels of DNA repair genes could predict survival. Messenger RNA expression levels of excision repair cross complementing 1 (ERCC1), breast cancer 1 (BRCA1), ribonucleotide reductase subunit M1 (RRM1) and caveolin-1 were determined by RT-PCR in tumor DNA from 57 advanced and metastatic bladder cancer patients treated with either gemcitabine/cisplatin or gemcitabine/cisplatin/paclitaxel (Taxol). Levels were correlated with survival, time to disease progression and chemotherapy response. Median survival was significantly higher in patients with low ERCC1 levels (25.4 versus 15.4 months; P = 0.03) (median follow-up 19 months). A trend towards longer time to progression was observed in patients with tumors expressing low levels of all markers. Levels of RRM1, BRCA1 and caveolin-1, however, failed to predict the survival and a clear link with chemotherapy response could not be established. On multivariate analysis with pretreatment prognostic factors, ERCC1 emerged as an independent predictive factor for survival. The results of the study indicate that ERCC1 may predict survival in bladder cancer treated by platinum-based therapy.
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                Author and article information

                Contributors
                miteva_md@abv.bg
                Journal
                Biomark Res
                Biomark Res
                Biomarker Research
                BioMed Central (London )
                2050-7771
                17 August 2020
                17 August 2020
                2020
                : 8
                : 32
                Affiliations
                [1 ]GRID grid.35371.33, ISNI 0000 0001 0726 0380, Department of Pediatrics and Medical Genetics, , Medical University Plovdiv, ; Plovdiv, Bulgaria
                [2 ]Department of Medical Genetics, University Hospital “St. George” Plovdiv, Plovdiv, Bulgaria
                Author information
                http://orcid.org/0000-0002-0921-9020
                Article
                213
                10.1186/s40364-020-00213-4
                7429778
                32821392
                1b8f789a-6eac-4c69-a363-3f6d4b137e7b
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 28 May 2020
                : 7 August 2020
                Categories
                Review
                Custom metadata
                © The Author(s) 2020

                pharmacogenetics,pharmacogenomics,oncology,pharmacogenetic biomarkers

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