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A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling

BACKGROUND: Temporal and local fluctuations in O(2) in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. METHODS: We exposed 20 tumor cell...

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Autores principales: Boidot, Romain, Branders, Samuel, Helleputte, Thibault, Rubio, Laila Illan, Dupont, Pierre, Feron, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196175/
https://www.ncbi.nlm.nih.gov/pubmed/25216520
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author Boidot, Romain
Branders, Samuel
Helleputte, Thibault
Rubio, Laila Illan
Dupont, Pierre
Feron, Olivier
author_facet Boidot, Romain
Branders, Samuel
Helleputte, Thibault
Rubio, Laila Illan
Dupont, Pierre
Feron, Olivier
author_sort Boidot, Romain
collection PubMed
description BACKGROUND: Temporal and local fluctuations in O(2) in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. METHODS: We exposed 20 tumor cell lines to repeated periods of hypoxia/reoxygenation to determine a transcriptomic CycHyp signature and used clinical data sets from 2,150 breast cancer patients to estimate a prognostic Cox proportional hazard model to assess its prognostic performance. RESULTS: The CycHyp prognostic potential was validated in patients independently of the receptor status of the tumors. The discriminating capacity of the CycHyp signature was further increased in the ER+ HER2- patient populations including those with a node negative status under treatment (HR=3.16) or not (HR=5.54). The CycHyp prognostic signature outperformed a signature derived from continuous hypoxia and major prognostic metagenes (P<0.001). The CycHyp signature could also identify ER+HER2 node-negative breast cancer patients at high risk based on clinicopathologic criteria but who could have been spared from chemotherapy and inversely those patients classified at low risk based but who presented a negative outcome. CONCLUSIONS: The CycHyp signature is prognostic of breast cancer and offers a unique decision making tool to complement anatomopathologic evaluation.
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spelling pubmed-41961752014-10-21 A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling Boidot, Romain Branders, Samuel Helleputte, Thibault Rubio, Laila Illan Dupont, Pierre Feron, Olivier Oncotarget Research Paper BACKGROUND: Temporal and local fluctuations in O(2) in tumors require adaptive mechanisms to support cancer cell survival and proliferation. The transcriptome associated with cycling hypoxia (CycHyp) could thus represent a prognostic biomarker of cancer progression. METHODS: We exposed 20 tumor cell lines to repeated periods of hypoxia/reoxygenation to determine a transcriptomic CycHyp signature and used clinical data sets from 2,150 breast cancer patients to estimate a prognostic Cox proportional hazard model to assess its prognostic performance. RESULTS: The CycHyp prognostic potential was validated in patients independently of the receptor status of the tumors. The discriminating capacity of the CycHyp signature was further increased in the ER+ HER2- patient populations including those with a node negative status under treatment (HR=3.16) or not (HR=5.54). The CycHyp prognostic signature outperformed a signature derived from continuous hypoxia and major prognostic metagenes (P<0.001). The CycHyp signature could also identify ER+HER2 node-negative breast cancer patients at high risk based on clinicopathologic criteria but who could have been spared from chemotherapy and inversely those patients classified at low risk based but who presented a negative outcome. CONCLUSIONS: The CycHyp signature is prognostic of breast cancer and offers a unique decision making tool to complement anatomopathologic evaluation. Impact Journals LLC 2014-07-31 /pmc/articles/PMC4196175/ /pubmed/25216520 Text en Copyright: © 2014 Boidot et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Boidot, Romain
Branders, Samuel
Helleputte, Thibault
Rubio, Laila Illan
Dupont, Pierre
Feron, Olivier
A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
title A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
title_full A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
title_fullStr A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
title_full_unstemmed A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
title_short A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
title_sort generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196175/
https://www.ncbi.nlm.nih.gov/pubmed/25216520
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