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A seven-gene signature predicts overall survival of patients with colorectal cancer

Colorectal cancer (CRC) is a major cause of global cancer mortality. Gene expression profiles can help predict prognosis of patients with CRC. In most of previous studies, disease recurrence was analyzed as the survival endpoint. Thus we aim to build a robust gene signature for prediction of overall...

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Autores principales: Chen, Huarong, Sun, Xiaoqiang, Ge, Weiting, Qian, Yun, Bai, Rui, Zheng, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707004/
https://www.ncbi.nlm.nih.gov/pubmed/29221110
http://dx.doi.org/10.18632/oncotarget.10982
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author Chen, Huarong
Sun, Xiaoqiang
Ge, Weiting
Qian, Yun
Bai, Rui
Zheng, Shu
author_facet Chen, Huarong
Sun, Xiaoqiang
Ge, Weiting
Qian, Yun
Bai, Rui
Zheng, Shu
author_sort Chen, Huarong
collection PubMed
description Colorectal cancer (CRC) is a major cause of global cancer mortality. Gene expression profiles can help predict prognosis of patients with CRC. In most of previous studies, disease recurrence was analyzed as the survival endpoint. Thus we aim to build a robust gene signature for prediction of overall survival (OS) in patients with CRC. Fresh frozen CRC tissues from 64 patients were analyzed using Affymetrix HG-U133plus 2.0 gene arrays. By performing univariate survival analysis, 6487 genes were found to be associated with the OS in our cohort. KEGG analysis revealed that these genes were mainly involved in pathways such as endocytosis, axon guidance, spliceosome, Wnt signalling and ubiquitin mediated proteolysis. A seven-gene signature was further selected by a robust likelihood-based survival modelling approach. The prognostic model of seven-gene signature (NHLRC3, ZDHHC21, PRR14L, CCBL1, PTPRB, PNPO, and PPIP5K2) was constructed and weighted by regression coefficient, which divided patients into high- and low-risk groups. The OS for patients in high-risk group was significantly poorer compared with patients in low-risk group. Moreover, all seven genes were found to be differentially expressed in CRC tissues as compared with adjacent normal tissues, indicating their potential role in CRC initiation and progression. This seven-gene signature was further validated as an independent prognostic marker for OS prediction in patients with CRC in other two independent cohorts. In short, we developed a robust seven-gene signature that can predict the OS for CRC patients, providing new insights into identification of CRC patients with high risk of mortality.
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spelling pubmed-57070042017-12-07 A seven-gene signature predicts overall survival of patients with colorectal cancer Chen, Huarong Sun, Xiaoqiang Ge, Weiting Qian, Yun Bai, Rui Zheng, Shu Oncotarget Research Paper Colorectal cancer (CRC) is a major cause of global cancer mortality. Gene expression profiles can help predict prognosis of patients with CRC. In most of previous studies, disease recurrence was analyzed as the survival endpoint. Thus we aim to build a robust gene signature for prediction of overall survival (OS) in patients with CRC. Fresh frozen CRC tissues from 64 patients were analyzed using Affymetrix HG-U133plus 2.0 gene arrays. By performing univariate survival analysis, 6487 genes were found to be associated with the OS in our cohort. KEGG analysis revealed that these genes were mainly involved in pathways such as endocytosis, axon guidance, spliceosome, Wnt signalling and ubiquitin mediated proteolysis. A seven-gene signature was further selected by a robust likelihood-based survival modelling approach. The prognostic model of seven-gene signature (NHLRC3, ZDHHC21, PRR14L, CCBL1, PTPRB, PNPO, and PPIP5K2) was constructed and weighted by regression coefficient, which divided patients into high- and low-risk groups. The OS for patients in high-risk group was significantly poorer compared with patients in low-risk group. Moreover, all seven genes were found to be differentially expressed in CRC tissues as compared with adjacent normal tissues, indicating their potential role in CRC initiation and progression. This seven-gene signature was further validated as an independent prognostic marker for OS prediction in patients with CRC in other two independent cohorts. In short, we developed a robust seven-gene signature that can predict the OS for CRC patients, providing new insights into identification of CRC patients with high risk of mortality. Impact Journals LLC 2016-08-01 /pmc/articles/PMC5707004/ /pubmed/29221110 http://dx.doi.org/10.18632/oncotarget.10982 Text en Copyright: © 2017 Chen 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 3.0 (http://creativecommons.org/licenses/by/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
Chen, Huarong
Sun, Xiaoqiang
Ge, Weiting
Qian, Yun
Bai, Rui
Zheng, Shu
A seven-gene signature predicts overall survival of patients with colorectal cancer
title A seven-gene signature predicts overall survival of patients with colorectal cancer
title_full A seven-gene signature predicts overall survival of patients with colorectal cancer
title_fullStr A seven-gene signature predicts overall survival of patients with colorectal cancer
title_full_unstemmed A seven-gene signature predicts overall survival of patients with colorectal cancer
title_short A seven-gene signature predicts overall survival of patients with colorectal cancer
title_sort seven-gene signature predicts overall survival of patients with colorectal cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707004/
https://www.ncbi.nlm.nih.gov/pubmed/29221110
http://dx.doi.org/10.18632/oncotarget.10982
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