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DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine

[Image: see text] Biomarker-driven drug selection plays a central role in cancer drug discovery and development, and in diagnostic strategies to improve the use of traditional chemotherapeutic drugs. DNA-modifying anticancer drugs are still used as first line medication, but drawbacks such as resist...

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Autores principales: Stornetta, Alessia, Zimmermann, Maike, Cimino, George D., Henderson, Paul T., Sturla, Shana J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379252/
https://www.ncbi.nlm.nih.gov/pubmed/27936622
http://dx.doi.org/10.1021/acs.chemrestox.6b00380
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author Stornetta, Alessia
Zimmermann, Maike
Cimino, George D.
Henderson, Paul T.
Sturla, Shana J.
author_facet Stornetta, Alessia
Zimmermann, Maike
Cimino, George D.
Henderson, Paul T.
Sturla, Shana J.
author_sort Stornetta, Alessia
collection PubMed
description [Image: see text] Biomarker-driven drug selection plays a central role in cancer drug discovery and development, and in diagnostic strategies to improve the use of traditional chemotherapeutic drugs. DNA-modifying anticancer drugs are still used as first line medication, but drawbacks such as resistance and side effects remain an issue. Monitoring the formation and level of DNA modifications induced by anticancer drugs is a potential strategy for stratifying patients and predicting drug efficacy. In this perspective, preclinical and clinical data concerning the relationship between drug-induced DNA adducts and biological response for platinum drugs and combination therapies, nitrogen mustards and half-mustards, hypoxia-activated drugs, reductase-activated drugs, and minor groove binding agents are presented and discussed. Aspects including measurement strategies, identification of adducts, and biological factors that influence the predictive relationship between DNA modification and biological response are addressed. A positive correlation between DNA adduct levels and response was observed for the majority of the studies, demonstrating the high potential of using DNA adducts from anticancer drugs as mechanism-based biomarkers of susceptibility, especially as bioanalysis approaches with higher sensitivity and throughput emerge.
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spelling pubmed-53792522017-04-05 DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine Stornetta, Alessia Zimmermann, Maike Cimino, George D. Henderson, Paul T. Sturla, Shana J. Chem Res Toxicol [Image: see text] Biomarker-driven drug selection plays a central role in cancer drug discovery and development, and in diagnostic strategies to improve the use of traditional chemotherapeutic drugs. DNA-modifying anticancer drugs are still used as first line medication, but drawbacks such as resistance and side effects remain an issue. Monitoring the formation and level of DNA modifications induced by anticancer drugs is a potential strategy for stratifying patients and predicting drug efficacy. In this perspective, preclinical and clinical data concerning the relationship between drug-induced DNA adducts and biological response for platinum drugs and combination therapies, nitrogen mustards and half-mustards, hypoxia-activated drugs, reductase-activated drugs, and minor groove binding agents are presented and discussed. Aspects including measurement strategies, identification of adducts, and biological factors that influence the predictive relationship between DNA modification and biological response are addressed. A positive correlation between DNA adduct levels and response was observed for the majority of the studies, demonstrating the high potential of using DNA adducts from anticancer drugs as mechanism-based biomarkers of susceptibility, especially as bioanalysis approaches with higher sensitivity and throughput emerge. American Chemical Society 2016-12-12 2017-01-17 /pmc/articles/PMC5379252/ /pubmed/27936622 http://dx.doi.org/10.1021/acs.chemrestox.6b00380 Text en Copyright © 2016 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Stornetta, Alessia
Zimmermann, Maike
Cimino, George D.
Henderson, Paul T.
Sturla, Shana J.
DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine
title DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine
title_full DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine
title_fullStr DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine
title_full_unstemmed DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine
title_short DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine
title_sort dna adducts from anticancer drugs as candidate predictive markers for precision medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379252/
https://www.ncbi.nlm.nih.gov/pubmed/27936622
http://dx.doi.org/10.1021/acs.chemrestox.6b00380
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