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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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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. |
format | Online Article Text |
id | pubmed-5790513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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