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Systematic analysis of overall survival and interactions between tumor mutations and drug treatment
BACKGROUND: Few exceptional responses in cancer treatment were attributed to a genetic predisposition of the tumor. METHODS: We analyzed a cohort of 3105 patients from 12 different cancer types and systematically sought the existence of a correlation between overall survival and the interaction of 2...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4774108/ https://www.ncbi.nlm.nih.gov/pubmed/26936071 http://dx.doi.org/10.1186/s13045-016-0249-2 |
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author | Gatto, Francesco Nielsen, Jens |
author_facet | Gatto, Francesco Nielsen, Jens |
author_sort | Gatto, Francesco |
collection | PubMed |
description | BACKGROUND: Few exceptional responses in cancer treatment were attributed to a genetic predisposition of the tumor. METHODS: We analyzed a cohort of 3105 patients from 12 different cancer types and systematically sought the existence of a correlation between overall survival and the interaction of 21 antineoplastic treatments with 6 tumor mutations. RESULTS: We identified a single significant correlation resulting in increased overall survival from temozolomide in lower-grade glioma with IDH1 R132H mutations. The trend could not be attributed to either the treatment or the mutation alone. Univariate and multivariate Cox regression demonstrated that this interaction stood as an independent prognostic predictor of survival. CONCLUSION: Our results suggest infrequent instances of exceptional responses ascribable to tumor genomics yet corroborate the existence of an interaction of temozolomide with IDH1 mutations in lower-grade glioma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13045-016-0249-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4774108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47741082016-03-03 Systematic analysis of overall survival and interactions between tumor mutations and drug treatment Gatto, Francesco Nielsen, Jens J Hematol Oncol Letter to the Editor BACKGROUND: Few exceptional responses in cancer treatment were attributed to a genetic predisposition of the tumor. METHODS: We analyzed a cohort of 3105 patients from 12 different cancer types and systematically sought the existence of a correlation between overall survival and the interaction of 21 antineoplastic treatments with 6 tumor mutations. RESULTS: We identified a single significant correlation resulting in increased overall survival from temozolomide in lower-grade glioma with IDH1 R132H mutations. The trend could not be attributed to either the treatment or the mutation alone. Univariate and multivariate Cox regression demonstrated that this interaction stood as an independent prognostic predictor of survival. CONCLUSION: Our results suggest infrequent instances of exceptional responses ascribable to tumor genomics yet corroborate the existence of an interaction of temozolomide with IDH1 mutations in lower-grade glioma. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13045-016-0249-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-02 /pmc/articles/PMC4774108/ /pubmed/26936071 http://dx.doi.org/10.1186/s13045-016-0249-2 Text en © Gatto and Nielsen. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Letter to the Editor Gatto, Francesco Nielsen, Jens Systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
title | Systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
title_full | Systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
title_fullStr | Systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
title_full_unstemmed | Systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
title_short | Systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
title_sort | systematic analysis of overall survival and interactions between tumor mutations and drug treatment |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4774108/ https://www.ncbi.nlm.nih.gov/pubmed/26936071 http://dx.doi.org/10.1186/s13045-016-0249-2 |
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