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The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma

Background: Lung adenocarcinoma (ADC) is the main cause of cancer-related mortality in lung cancer patients. DEAD/DEAH box helicase 11 (DDX11) was previously shown to be dysregulated and to exert oncogenic activity in cancer. However, the diagnostic value and clinical significance of DDX11 in ADC re...

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Autores principales: Li, Jianhao, Liu, Liwen, Liu, Xin, Xu, Penglin, Hu, Qiuyue, Yu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691710/
https://www.ncbi.nlm.nih.gov/pubmed/31413739
http://dx.doi.org/10.7150/jca.33457
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author Li, Jianhao
Liu, Liwen
Liu, Xin
Xu, Penglin
Hu, Qiuyue
Yu, Yan
author_facet Li, Jianhao
Liu, Liwen
Liu, Xin
Xu, Penglin
Hu, Qiuyue
Yu, Yan
author_sort Li, Jianhao
collection PubMed
description Background: Lung adenocarcinoma (ADC) is the main cause of cancer-related mortality in lung cancer patients. DEAD/DEAH box helicase 11 (DDX11) was previously shown to be dysregulated and to exert oncogenic activity in cancer. However, the diagnostic value and clinical significance of DDX11 in ADC remain unknown. Methods: A total of 513 ADC and 59 normal tissue samples were obtained from The Cancer Genome Atlas (TCGA) database, and the mRNA expression level of DDX11 in ADC was evaluated. Additionally, a meta-analysis of 7 ADC cohorts from the Gene Expression Omnibus (GEO) database was conducted to validate the DDX11 expression pattern. Moreover, receiver operating characteristic (ROC) curve analysis was used to identify the diagnostic power of DDX11 in ADC. A tissue microarray (TMA) comprising 86 ADC specimens and their adjacent normal specimens was applied to indicate DDX11 protein expression status. In addition, Kaplan-Meier and Cox regression analyses were conducted to validate the prognostic value of DDX11 in ADC. Finally, the molecular mechanism of DDX11 action in ADC was predicted by gene set enrichment analysis (GSEA). Results: DDX11 was upregulated in ADC tissues and was associated with worse overall survival (OS). ROC curves of DDX11 showed high values for diagnosis. Additionally, DDX11 expression has remarkable correlations with DNA replication and the cell cycle G1-S phase pathway. Consistently, it was associated with cell cycle genes, such as CCNA2, CCNB1, CCNC, CCND1, CCNE1, CDK2, CDK4 and CDK6. Moreover, high CCNA2, CCNB1, CCNE1 and CDK6 expression in ADC patients predicted worse OS and progression-free survival (PFS). Conclusion: DDX11 was significantly upregulated and predicted poor prognosis in ADC. This gene might serve as a potential novel prognostic and diagnostic biomarker for ADC.
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spelling pubmed-66917102019-08-14 The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma Li, Jianhao Liu, Liwen Liu, Xin Xu, Penglin Hu, Qiuyue Yu, Yan J Cancer Research Paper Background: Lung adenocarcinoma (ADC) is the main cause of cancer-related mortality in lung cancer patients. DEAD/DEAH box helicase 11 (DDX11) was previously shown to be dysregulated and to exert oncogenic activity in cancer. However, the diagnostic value and clinical significance of DDX11 in ADC remain unknown. Methods: A total of 513 ADC and 59 normal tissue samples were obtained from The Cancer Genome Atlas (TCGA) database, and the mRNA expression level of DDX11 in ADC was evaluated. Additionally, a meta-analysis of 7 ADC cohorts from the Gene Expression Omnibus (GEO) database was conducted to validate the DDX11 expression pattern. Moreover, receiver operating characteristic (ROC) curve analysis was used to identify the diagnostic power of DDX11 in ADC. A tissue microarray (TMA) comprising 86 ADC specimens and their adjacent normal specimens was applied to indicate DDX11 protein expression status. In addition, Kaplan-Meier and Cox regression analyses were conducted to validate the prognostic value of DDX11 in ADC. Finally, the molecular mechanism of DDX11 action in ADC was predicted by gene set enrichment analysis (GSEA). Results: DDX11 was upregulated in ADC tissues and was associated with worse overall survival (OS). ROC curves of DDX11 showed high values for diagnosis. Additionally, DDX11 expression has remarkable correlations with DNA replication and the cell cycle G1-S phase pathway. Consistently, it was associated with cell cycle genes, such as CCNA2, CCNB1, CCNC, CCND1, CCNE1, CDK2, CDK4 and CDK6. Moreover, high CCNA2, CCNB1, CCNE1 and CDK6 expression in ADC patients predicted worse OS and progression-free survival (PFS). Conclusion: DDX11 was significantly upregulated and predicted poor prognosis in ADC. This gene might serve as a potential novel prognostic and diagnostic biomarker for ADC. Ivyspring International Publisher 2019-07-10 /pmc/articles/PMC6691710/ /pubmed/31413739 http://dx.doi.org/10.7150/jca.33457 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Li, Jianhao
Liu, Liwen
Liu, Xin
Xu, Penglin
Hu, Qiuyue
Yu, Yan
The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma
title The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma
title_full The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma
title_fullStr The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma
title_full_unstemmed The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma
title_short The Role of Upregulated DDX11 as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma
title_sort role of upregulated ddx11 as a potential prognostic and diagnostic biomarker in lung adenocarcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691710/
https://www.ncbi.nlm.nih.gov/pubmed/31413739
http://dx.doi.org/10.7150/jca.33457
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