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Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts

PURPOSE: There is a need for adjuvant/neo-adjuvant treatment strategies to prevent metastatic relapse in soft tissue sarcoma (STS). Tumor hypoxia is associated with a high-risk of metastasis and is potentially targetable. This study aimed to derive and validate a hypoxia mRNA signature for STS for f...

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Autores principales: Yang, Lingjian, Forker, Laura, Irlam, Joely J., Pillay, Nischalan, Choudhury, Ananya, West, Catharine M. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790513/
https://www.ncbi.nlm.nih.gov/pubmed/29423096
http://dx.doi.org/10.18632/oncotarget.23280
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author Yang, Lingjian
Forker, Laura
Irlam, Joely J.
Pillay, Nischalan
Choudhury, Ananya
West, Catharine M. L.
author_facet Yang, Lingjian
Forker, Laura
Irlam, Joely J.
Pillay, Nischalan
Choudhury, Ananya
West, Catharine M. L.
author_sort Yang, Lingjian
collection PubMed
description PURPOSE: There is a need for adjuvant/neo-adjuvant treatment strategies to prevent metastatic relapse in soft tissue sarcoma (STS). Tumor hypoxia is associated with a high-risk of metastasis and is potentially targetable. This study aimed to derive and validate a hypoxia mRNA signature for STS for future biomarker-driven trials of hypoxia targeted therapy. MATERIALS AND METHODS: RNA sequencing was used to identify seed genes induced by hypoxia in seven STS cell lines. Primary tumors in a training cohort (French training) were clustered into two phenotypes by seed gene expression and a de novo hypoxia signature derived. Prognostic significance of the de novo signature was evaluated in the training and two independent validation (French validation and The Cancer Genome Atlas) cohorts. RESULTS: 37 genes were up-regulated by hypoxia in all seven cell lines, and a 24-gene signature was derived. The high-hypoxia phenotype defined by the signature was enriched for well-established hypoxia genes reported in the literature. The signature was prognostic in univariable analysis, and in multivariable analysis in the training (n = 183, HR 2.16, P = 0.0054) and two independent validation (n = 127, HR 3.06, P = 0.0019; n = 258, HR 2.05, P = 0.0098) cohorts. Combining information from the de novo hypoxia signature and a genome instability signature significantly improved prognostication. Transcriptomic analyses showed high-hypoxia tumors had more genome instability and lower immune scores. CONCLUSIONS: A 24-gene STS-specific hypoxia signature may be useful for prognostication and identifying patients for hypoxia-targeted therapy in clinical trials.
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spelling pubmed-57905132018-02-08 Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts Yang, Lingjian Forker, Laura Irlam, Joely J. Pillay, Nischalan Choudhury, Ananya West, Catharine M. L. Oncotarget Research Paper PURPOSE: There is a need for adjuvant/neo-adjuvant treatment strategies to prevent metastatic relapse in soft tissue sarcoma (STS). Tumor hypoxia is associated with a high-risk of metastasis and is potentially targetable. This study aimed to derive and validate a hypoxia mRNA signature for STS for future biomarker-driven trials of hypoxia targeted therapy. MATERIALS AND METHODS: RNA sequencing was used to identify seed genes induced by hypoxia in seven STS cell lines. Primary tumors in a training cohort (French training) were clustered into two phenotypes by seed gene expression and a de novo hypoxia signature derived. Prognostic significance of the de novo signature was evaluated in the training and two independent validation (French validation and The Cancer Genome Atlas) cohorts. RESULTS: 37 genes were up-regulated by hypoxia in all seven cell lines, and a 24-gene signature was derived. The high-hypoxia phenotype defined by the signature was enriched for well-established hypoxia genes reported in the literature. The signature was prognostic in univariable analysis, and in multivariable analysis in the training (n = 183, HR 2.16, P = 0.0054) and two independent validation (n = 127, HR 3.06, P = 0.0019; n = 258, HR 2.05, P = 0.0098) cohorts. Combining information from the de novo hypoxia signature and a genome instability signature significantly improved prognostication. Transcriptomic analyses showed high-hypoxia tumors had more genome instability and lower immune scores. CONCLUSIONS: A 24-gene STS-specific hypoxia signature may be useful for prognostication and identifying patients for hypoxia-targeted therapy in clinical trials. Impact Journals LLC 2017-12-12 /pmc/articles/PMC5790513/ /pubmed/29423096 http://dx.doi.org/10.18632/oncotarget.23280 Text en Copyright: © 2018 Yang 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 (http://creativecommons.org/licenses/by/3.0/) 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 Research Paper
Yang, Lingjian
Forker, Laura
Irlam, Joely J.
Pillay, Nischalan
Choudhury, Ananya
West, Catharine M. L.
Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
title Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
title_full Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
title_fullStr Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
title_full_unstemmed Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
title_short Validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
title_sort validation of a hypoxia related gene signature in multiple soft tissue sarcoma cohorts
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790513/
https://www.ncbi.nlm.nih.gov/pubmed/29423096
http://dx.doi.org/10.18632/oncotarget.23280
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