Cargando…

Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score

BACKGROUND AND OBJECTIVE: Lung adenocarcinoma (LUAD) is the most common histological type of all lung cancers and is associated with genetic and epigenetic aberrations. The tumor, node, and metastasis (TNM) stage is the most authoritative indicator of the clinical outcome in LUAD patients in current...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Donglai, Song, Yueqiang, Zhang, Fuquan, Wang, Xiaofan, Zhu, Erjia, Zhang, Xi, Jiang, Gening, Li, Siguang, Chen, Chang, Chen, Yongbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539224/
https://www.ncbi.nlm.nih.gov/pubmed/31191611
http://dx.doi.org/10.3389/fgene.2019.00493
_version_ 1783422335808700416
author Chen, Donglai
Song, Yueqiang
Zhang, Fuquan
Wang, Xiaofan
Zhu, Erjia
Zhang, Xi
Jiang, Gening
Li, Siguang
Chen, Chang
Chen, Yongbing
author_facet Chen, Donglai
Song, Yueqiang
Zhang, Fuquan
Wang, Xiaofan
Zhu, Erjia
Zhang, Xi
Jiang, Gening
Li, Siguang
Chen, Chang
Chen, Yongbing
author_sort Chen, Donglai
collection PubMed
description BACKGROUND AND OBJECTIVE: Lung adenocarcinoma (LUAD) is the most common histological type of all lung cancers and is associated with genetic and epigenetic aberrations. The tumor, node, and metastasis (TNM) stage is the most authoritative indicator of the clinical outcome in LUAD patients in current clinical practice. In this study, we attempted to identify novel genetic and epigenetic modifications and integrate them as a predictor of the prognosis for LUAD, to supplement the TNM stage with additional information. METHODS: A dataset of 445 patients with LUAD was obtained from The Cancer Genome Atlas database. Both genetic and epigenetic aberrations were screened for their prognostic impact on overall survival (OS). A prognostic score (PS) integrating all the candidate prognostic factors was then developed and its prognostic value validated. RESULTS: A total of two micro-RNAs, two mRNAs and two DNA methylation sites were identified as prognostic factors associated with OS. The low- and high-risk patient groups, divided by their PS level, showed significantly different OS (p < 0.001) and recurrence-free survival (RFS; p = 0.005). Patients in the early stages (stages I/II) and advanced stages (stages III/IV) of LUAD could be further subdivided by PS into four subgroups. PS remained efficient in stratifying patients into different OS (p < 0.001) and RFS (p = 0.005) when the low- and high-risk subgroups were in the early stages of the disease. However, there was only a significant difference in OS (p = 0.04) but not RFS (p = 0.2), between the low-risk and high-risk subgroups when both were in advanced stages. CONCLUSION: PS, in combination with the TNM stage, provides additional precision in stratifying patients with significantly different OS and RFS prognoses. Further studies are warranted to assess the efficiency of PS and to explain the effects of the genetic and epigenetic aberrations observed in LUAD.
format Online
Article
Text
id pubmed-6539224
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-65392242019-06-12 Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score Chen, Donglai Song, Yueqiang Zhang, Fuquan Wang, Xiaofan Zhu, Erjia Zhang, Xi Jiang, Gening Li, Siguang Chen, Chang Chen, Yongbing Front Genet Genetics BACKGROUND AND OBJECTIVE: Lung adenocarcinoma (LUAD) is the most common histological type of all lung cancers and is associated with genetic and epigenetic aberrations. The tumor, node, and metastasis (TNM) stage is the most authoritative indicator of the clinical outcome in LUAD patients in current clinical practice. In this study, we attempted to identify novel genetic and epigenetic modifications and integrate them as a predictor of the prognosis for LUAD, to supplement the TNM stage with additional information. METHODS: A dataset of 445 patients with LUAD was obtained from The Cancer Genome Atlas database. Both genetic and epigenetic aberrations were screened for their prognostic impact on overall survival (OS). A prognostic score (PS) integrating all the candidate prognostic factors was then developed and its prognostic value validated. RESULTS: A total of two micro-RNAs, two mRNAs and two DNA methylation sites were identified as prognostic factors associated with OS. The low- and high-risk patient groups, divided by their PS level, showed significantly different OS (p < 0.001) and recurrence-free survival (RFS; p = 0.005). Patients in the early stages (stages I/II) and advanced stages (stages III/IV) of LUAD could be further subdivided by PS into four subgroups. PS remained efficient in stratifying patients into different OS (p < 0.001) and RFS (p = 0.005) when the low- and high-risk subgroups were in the early stages of the disease. However, there was only a significant difference in OS (p = 0.04) but not RFS (p = 0.2), between the low-risk and high-risk subgroups when both were in advanced stages. CONCLUSION: PS, in combination with the TNM stage, provides additional precision in stratifying patients with significantly different OS and RFS prognoses. Further studies are warranted to assess the efficiency of PS and to explain the effects of the genetic and epigenetic aberrations observed in LUAD. Frontiers Media S.A. 2019-05-22 /pmc/articles/PMC6539224/ /pubmed/31191611 http://dx.doi.org/10.3389/fgene.2019.00493 Text en Copyright © 2019 Chen, Song, Zhang, Wang, Zhu, Zhang, Jiang, Li, Chen and Chen. 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
Chen, Donglai
Song, Yueqiang
Zhang, Fuquan
Wang, Xiaofan
Zhu, Erjia
Zhang, Xi
Jiang, Gening
Li, Siguang
Chen, Chang
Chen, Yongbing
Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
title Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
title_full Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
title_fullStr Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
title_full_unstemmed Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
title_short Genome-Wide Analysis of Lung Adenocarcinoma Identifies Novel Prognostic Factors and a Prognostic Score
title_sort genome-wide analysis of lung adenocarcinoma identifies novel prognostic factors and a prognostic score
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539224/
https://www.ncbi.nlm.nih.gov/pubmed/31191611
http://dx.doi.org/10.3389/fgene.2019.00493
work_keys_str_mv AT chendonglai genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT songyueqiang genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT zhangfuquan genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT wangxiaofan genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT zhuerjia genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT zhangxi genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT jianggening genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT lisiguang genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT chenchang genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore
AT chenyongbing genomewideanalysisoflungadenocarcinomaidentifiesnovelprognosticfactorsandaprognosticscore