A network-based method for identifying prognostic gene modules in lung squamous carcinoma

Similarities in gene expression between both developing embryonic and precancerous tissues and cancer tissues may help identify much-needed biomarkers and therapeutic targets in lung squamous carcinoma. In this study, human lung samples representing ten successive time points, from embryonic develop...

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Detalles Bibliográficos
Autores principales: Feng, Lin, Tong, Run, Liu, Xiaohong, Zhang, Kaitai, Wang, Guiqi, Zhang, Lei, An, Ning, Cheng, Shujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951267/
https://www.ncbi.nlm.nih.gov/pubmed/26919109
http://dx.doi.org/10.18632/oncotarget.7632
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author Feng, Lin
Tong, Run
Liu, Xiaohong
Zhang, Kaitai
Wang, Guiqi
Zhang, Lei
An, Ning
Cheng, Shujun
author_facet Feng, Lin
Tong, Run
Liu, Xiaohong
Zhang, Kaitai
Wang, Guiqi
Zhang, Lei
An, Ning
Cheng, Shujun
author_sort Feng, Lin
collection PubMed
description Similarities in gene expression between both developing embryonic and precancerous tissues and cancer tissues may help identify much-needed biomarkers and therapeutic targets in lung squamous carcinoma. In this study, human lung samples representing ten successive time points, from embryonic development to carcinogenesis, were used to construct global gene expression profiles. Differentially expressed genes with similar expression in precancerous and cancer samples were identified. Using a network-based greedy searching algorithm to analyze the training cohort (n = 69) and three independent testing cohorts, we successfully identified a significant 22-gene module in which expression levels were correlated with overall survival in lung squamous carcinoma patients.
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spelling pubmed-49512672016-07-21 A network-based method for identifying prognostic gene modules in lung squamous carcinoma Feng, Lin Tong, Run Liu, Xiaohong Zhang, Kaitai Wang, Guiqi Zhang, Lei An, Ning Cheng, Shujun Oncotarget Research Paper Similarities in gene expression between both developing embryonic and precancerous tissues and cancer tissues may help identify much-needed biomarkers and therapeutic targets in lung squamous carcinoma. In this study, human lung samples representing ten successive time points, from embryonic development to carcinogenesis, were used to construct global gene expression profiles. Differentially expressed genes with similar expression in precancerous and cancer samples were identified. Using a network-based greedy searching algorithm to analyze the training cohort (n = 69) and three independent testing cohorts, we successfully identified a significant 22-gene module in which expression levels were correlated with overall survival in lung squamous carcinoma patients. Impact Journals LLC 2016-02-23 /pmc/articles/PMC4951267/ /pubmed/26919109 http://dx.doi.org/10.18632/oncotarget.7632 Text en Copyright: © 2016 Feng 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
Feng, Lin
Tong, Run
Liu, Xiaohong
Zhang, Kaitai
Wang, Guiqi
Zhang, Lei
An, Ning
Cheng, Shujun
A network-based method for identifying prognostic gene modules in lung squamous carcinoma
title A network-based method for identifying prognostic gene modules in lung squamous carcinoma
title_full A network-based method for identifying prognostic gene modules in lung squamous carcinoma
title_fullStr A network-based method for identifying prognostic gene modules in lung squamous carcinoma
title_full_unstemmed A network-based method for identifying prognostic gene modules in lung squamous carcinoma
title_short A network-based method for identifying prognostic gene modules in lung squamous carcinoma
title_sort network-based method for identifying prognostic gene modules in lung squamous carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951267/
https://www.ncbi.nlm.nih.gov/pubmed/26919109
http://dx.doi.org/10.18632/oncotarget.7632
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