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A prognostic gene expression signature for oropharyngeal squamous cell carcinoma

BACKGROUND: Robust prognostic stratification of patients with oropharyngeal squamous cell carcinoma (OPSCC) is important for developing individualized treatment plans. This study was conducted to develop and validate a clinically feasible prognostic classifier based on transcriptome-wide gene expres...

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Autores principales: Liu, Xinyi, Liu, Ping, Chernock, Rebecca D., Kuhs, Krystle A.Lang, Lewis, James S., Luo, Jingqin, Gay, Hiram A., Thorstad, Wade L., Wang, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648117/
https://www.ncbi.nlm.nih.gov/pubmed/33038770
http://dx.doi.org/10.1016/j.ebiom.2020.102805
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author Liu, Xinyi
Liu, Ping
Chernock, Rebecca D.
Kuhs, Krystle A.Lang
Lewis, James S.
Luo, Jingqin
Gay, Hiram A.
Thorstad, Wade L.
Wang, Xiaowei
author_facet Liu, Xinyi
Liu, Ping
Chernock, Rebecca D.
Kuhs, Krystle A.Lang
Lewis, James S.
Luo, Jingqin
Gay, Hiram A.
Thorstad, Wade L.
Wang, Xiaowei
author_sort Liu, Xinyi
collection PubMed
description BACKGROUND: Robust prognostic stratification of patients with oropharyngeal squamous cell carcinoma (OPSCC) is important for developing individualized treatment plans. This study was conducted to develop and validate a clinically feasible prognostic classifier based on transcriptome-wide gene expression profiles. METHODS: Tumor tissues were collected from 208 OPSCC patients treated at Washington University in St. Louis and 130 OPSCC patients treated at Vanderbilt University, used for model training and validation, respectively. OPSCC patients (n = 70) from the TCGA cohort were also included for independent validation. Based on RNA-seq profiling data, Cox proportional hazards regression analysis was performed to identify genes associated with disease outcomes. Then, Lasso-penalized multivariate survival models were constructed to identify biomarker genes for developing a prognostic gene signature. FINDINGS: A 60-gene signature was identified by RNA-seq profiling analysis. Computed risk score of the gene signature was significantly predictive of 5-year overall survival of the training cohort (Hazard ratio (HR) 28·32, P = 4·3E-41). Subgroup analysis stratified by HPV status revealed that the signature was prognostic in HPV-positive OPSCC patients (HR 30·55, P = 7·0E-37) and was independent of clinical features. Importantly, the gene signature was validated in two independent patient cohorts, including the TCGA cohort (HR 3·94, P = 0·0018) and the Vanderbilt cohort (HR 8·50, P = 5·7E-09) for overall survival. INTERPRETATION: The prognostic gene signature is a robust tool for risk stratification of OPSCC patients. The signature remains prognostic among HPV-positive OPSCC patients. FUNDING: National Institutes of Health.
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spelling pubmed-76481172020-11-16 A prognostic gene expression signature for oropharyngeal squamous cell carcinoma Liu, Xinyi Liu, Ping Chernock, Rebecca D. Kuhs, Krystle A.Lang Lewis, James S. Luo, Jingqin Gay, Hiram A. Thorstad, Wade L. Wang, Xiaowei EBioMedicine Research Paper BACKGROUND: Robust prognostic stratification of patients with oropharyngeal squamous cell carcinoma (OPSCC) is important for developing individualized treatment plans. This study was conducted to develop and validate a clinically feasible prognostic classifier based on transcriptome-wide gene expression profiles. METHODS: Tumor tissues were collected from 208 OPSCC patients treated at Washington University in St. Louis and 130 OPSCC patients treated at Vanderbilt University, used for model training and validation, respectively. OPSCC patients (n = 70) from the TCGA cohort were also included for independent validation. Based on RNA-seq profiling data, Cox proportional hazards regression analysis was performed to identify genes associated with disease outcomes. Then, Lasso-penalized multivariate survival models were constructed to identify biomarker genes for developing a prognostic gene signature. FINDINGS: A 60-gene signature was identified by RNA-seq profiling analysis. Computed risk score of the gene signature was significantly predictive of 5-year overall survival of the training cohort (Hazard ratio (HR) 28·32, P = 4·3E-41). Subgroup analysis stratified by HPV status revealed that the signature was prognostic in HPV-positive OPSCC patients (HR 30·55, P = 7·0E-37) and was independent of clinical features. Importantly, the gene signature was validated in two independent patient cohorts, including the TCGA cohort (HR 3·94, P = 0·0018) and the Vanderbilt cohort (HR 8·50, P = 5·7E-09) for overall survival. INTERPRETATION: The prognostic gene signature is a robust tool for risk stratification of OPSCC patients. The signature remains prognostic among HPV-positive OPSCC patients. FUNDING: National Institutes of Health. Elsevier 2020-10-07 /pmc/articles/PMC7648117/ /pubmed/33038770 http://dx.doi.org/10.1016/j.ebiom.2020.102805 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Liu, Xinyi
Liu, Ping
Chernock, Rebecca D.
Kuhs, Krystle A.Lang
Lewis, James S.
Luo, Jingqin
Gay, Hiram A.
Thorstad, Wade L.
Wang, Xiaowei
A prognostic gene expression signature for oropharyngeal squamous cell carcinoma
title A prognostic gene expression signature for oropharyngeal squamous cell carcinoma
title_full A prognostic gene expression signature for oropharyngeal squamous cell carcinoma
title_fullStr A prognostic gene expression signature for oropharyngeal squamous cell carcinoma
title_full_unstemmed A prognostic gene expression signature for oropharyngeal squamous cell carcinoma
title_short A prognostic gene expression signature for oropharyngeal squamous cell carcinoma
title_sort prognostic gene expression signature for oropharyngeal squamous cell carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7648117/
https://www.ncbi.nlm.nih.gov/pubmed/33038770
http://dx.doi.org/10.1016/j.ebiom.2020.102805
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