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Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients
Malignant pleural mesothelioma (MPM), predominantly caused by asbestos exposure, is a highly aggressive cancer with poor prognosis. The staging systems currently used in clinics is inadequate in evaluating the prognosis of MPM. In this study, a five-gene signature was developed and enrolled into a p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427512/ https://www.ncbi.nlm.nih.gov/pubmed/32849853 http://dx.doi.org/10.3389/fgene.2020.00899 |
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author | Bai, Yiyang Wang, Xiao Hou, Jia Geng, Luying Liang, Xuan Ruan, Zhiping Guo, Hui Nan, Kejun Jiang, Lili |
author_facet | Bai, Yiyang Wang, Xiao Hou, Jia Geng, Luying Liang, Xuan Ruan, Zhiping Guo, Hui Nan, Kejun Jiang, Lili |
author_sort | Bai, Yiyang |
collection | PubMed |
description | Malignant pleural mesothelioma (MPM), predominantly caused by asbestos exposure, is a highly aggressive cancer with poor prognosis. The staging systems currently used in clinics is inadequate in evaluating the prognosis of MPM. In this study, a five-gene signature was developed and enrolled into a prognostic risk score model by LASSO Cox regression analysis based on two expression profiling datasets (GSE2549 and GSE51024) from Gene Expression Omnibus (GEO). The five-gene signature was further validated using the Cancer Genome Atlas (TCGA) MPM dataset. Univariate and multivariate Cox analyses proved that the five-gene signature was an independent prognostic factor for MPM. The signature remained statistically significant upon stratification by Brigham stage, AJCC stage, gender, tumor size, and lymph node status. Time-dependent receiver operating characteristic (ROC) curve indicated good performance of our model in predicting 1- and 2-years overall survival in MPM patients. The C-index was 0.784 for GSE2549 and 0.753 for the TCGA dataset showing moderate predictive accuracy of our model. Furthermore, Gene Set Enrichment Analysis suggested that the five-gene signature was related to pathways resulting in MPM tumor progression. Together, we have established a five-gene signature significantly associated with prognosis in MPM patients. Hence, the five-genes signature may serve as a potentially useful prognostic tool for MPM patients. |
format | Online Article Text |
id | pubmed-7427512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74275122020-08-25 Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients Bai, Yiyang Wang, Xiao Hou, Jia Geng, Luying Liang, Xuan Ruan, Zhiping Guo, Hui Nan, Kejun Jiang, Lili Front Genet Genetics Malignant pleural mesothelioma (MPM), predominantly caused by asbestos exposure, is a highly aggressive cancer with poor prognosis. The staging systems currently used in clinics is inadequate in evaluating the prognosis of MPM. In this study, a five-gene signature was developed and enrolled into a prognostic risk score model by LASSO Cox regression analysis based on two expression profiling datasets (GSE2549 and GSE51024) from Gene Expression Omnibus (GEO). The five-gene signature was further validated using the Cancer Genome Atlas (TCGA) MPM dataset. Univariate and multivariate Cox analyses proved that the five-gene signature was an independent prognostic factor for MPM. The signature remained statistically significant upon stratification by Brigham stage, AJCC stage, gender, tumor size, and lymph node status. Time-dependent receiver operating characteristic (ROC) curve indicated good performance of our model in predicting 1- and 2-years overall survival in MPM patients. The C-index was 0.784 for GSE2549 and 0.753 for the TCGA dataset showing moderate predictive accuracy of our model. Furthermore, Gene Set Enrichment Analysis suggested that the five-gene signature was related to pathways resulting in MPM tumor progression. Together, we have established a five-gene signature significantly associated with prognosis in MPM patients. Hence, the five-genes signature may serve as a potentially useful prognostic tool for MPM patients. Frontiers Media S.A. 2020-08-07 /pmc/articles/PMC7427512/ /pubmed/32849853 http://dx.doi.org/10.3389/fgene.2020.00899 Text en Copyright © 2020 Bai, Wang, Hou, Geng, Liang, Ruan, Guo, Nan and Jiang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Bai, Yiyang Wang, Xiao Hou, Jia Geng, Luying Liang, Xuan Ruan, Zhiping Guo, Hui Nan, Kejun Jiang, Lili Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients |
title | Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients |
title_full | Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients |
title_fullStr | Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients |
title_full_unstemmed | Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients |
title_short | Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients |
title_sort | identification of a five-gene signature for predicting survival in malignant pleural mesothelioma patients |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427512/ https://www.ncbi.nlm.nih.gov/pubmed/32849853 http://dx.doi.org/10.3389/fgene.2020.00899 |
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