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SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand

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...

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Autores principales: Palmirotta, Raffaele, Carella, Claudia, Silvestris, Erica, Cives, Mauro, Stucci, Stefania Luigia, Tucci, Marco, Lovero, Domenica, Silvestris, Franco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982750/
https://www.ncbi.nlm.nih.gov/pubmed/29861877
http://dx.doi.org/10.18632/oncotarget.25256
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author Palmirotta, Raffaele
Carella, Claudia
Silvestris, Erica
Cives, Mauro
Stucci, Stefania Luigia
Tucci, Marco
Lovero, Domenica
Silvestris, Franco
author_facet Palmirotta, Raffaele
Carella, Claudia
Silvestris, Erica
Cives, Mauro
Stucci, Stefania Luigia
Tucci, Marco
Lovero, Domenica
Silvestris, Franco
author_sort Palmirotta, Raffaele
collection PubMed
description 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 dihydropyrimidine dehydrogenase (DPYD) and uridine diphosphate glucuronosyltransferases (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.
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spelling pubmed-59827502018-06-01 SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand Palmirotta, Raffaele Carella, Claudia Silvestris, Erica Cives, Mauro Stucci, Stefania Luigia Tucci, Marco Lovero, Domenica Silvestris, Franco Oncotarget Review 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 dihydropyrimidine dehydrogenase (DPYD) and uridine diphosphate glucuronosyltransferases (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. Impact Journals LLC 2018-05-18 /pmc/articles/PMC5982750/ /pubmed/29861877 http://dx.doi.org/10.18632/oncotarget.25256 Text en Copyright: © 2018 Palmirotta et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Review
Palmirotta, Raffaele
Carella, Claudia
Silvestris, Erica
Cives, Mauro
Stucci, Stefania Luigia
Tucci, Marco
Lovero, Domenica
Silvestris, Franco
SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
title SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
title_full SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
title_fullStr SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
title_full_unstemmed SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
title_short SNPs in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
title_sort snps in predicting clinical efficacy and toxicity of chemotherapy: walking through the quicksand
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982750/
https://www.ncbi.nlm.nih.gov/pubmed/29861877
http://dx.doi.org/10.18632/oncotarget.25256
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