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NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma

BACKGROUND: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death. This study aimed to develop and validate reliable prognostic biomarkers and signature. METHODS: Differentially expressed genes were identified based on three Gene Expression Omnibus (GEO) datasets. Based on 1052 sam...

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Autores principales: Zhao, Cui, Liu, Jian, Zhou, Haomiao, Qian, Xin, Sun, Hui, Chen, Xuewen, Zheng, Miaosen, Bian, Tingting, Liu, Lei, Liu, Yifei, Zhang, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059184/
https://www.ncbi.nlm.nih.gov/pubmed/33879165
http://dx.doi.org/10.1186/s12935-021-01938-4
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author Zhao, Cui
Liu, Jian
Zhou, Haomiao
Qian, Xin
Sun, Hui
Chen, Xuewen
Zheng, Miaosen
Bian, Tingting
Liu, Lei
Liu, Yifei
Zhang, Jianguo
author_facet Zhao, Cui
Liu, Jian
Zhou, Haomiao
Qian, Xin
Sun, Hui
Chen, Xuewen
Zheng, Miaosen
Bian, Tingting
Liu, Lei
Liu, Yifei
Zhang, Jianguo
author_sort Zhao, Cui
collection PubMed
description BACKGROUND: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death. This study aimed to develop and validate reliable prognostic biomarkers and signature. METHODS: Differentially expressed genes were identified based on three Gene Expression Omnibus (GEO) datasets. Based on 1052 samples’ data from our cohort, GEO and The Cancer Genome Atlas, we explored the relationship of clinicopathological features and NEIL3 expression to determine clinical effect of NEIL3 in LUAD. Western blotting (22 pairs of tumor and normal tissues), Real-time quantitative PCR (19 pairs of tumor and normal tissues), and immunohistochemical analyses (406-tumor tissues subjected to microarray) were conducted. TIMER and ImmuCellAI analyzed relationship between NEIL3 expression and the abundance of tumor-infiltrating immune cells in LUAD. The co-expressed-gene prognostic signature was established based on the Cox regression analysis. RESULTS: This study identified 502 common differentially expressed genes and confirmed that NEIL3 was significantly overexpressed in LUAD samples (P < 0.001). Increased NEIL3 expression was related to advanced stage, larger tumor size and poor overall survival (p < 0.001) in three LUAD cohorts. The proportions of natural T regulatory cells and induced T regulatory cells increased in the high NEIL3 group, whereas those of B cells, Th17 cells and dendritic cells decreased. Gene set enrichment analysis indicated that NEIL3 may activate cell cycle progression and P53 signaling pathway, leading to poor outcomes. We identified nine prognosis-associated hub genes among 370 genes co-expressed with NEIL3. A 10-gene prognostic signature including NEIL3 and nine key co-expressed genes was constructed. Higher risk-score was correlated with more advanced stage, larger tumor size and worse outcome (p < 0.05). Finally, the signature was verified in test cohort (GSE50081) with superior diagnostic accuracy. CONCLUSIONS: This study suggested that NEIL3 has the potential to be an immune-related therapeutic target and an independent predictor of LUAD prognosis. We also developed a prognostic signature for LUAD with a precise diagnostic accuracy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-01938-4.
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spelling pubmed-80591842021-04-21 NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma Zhao, Cui Liu, Jian Zhou, Haomiao Qian, Xin Sun, Hui Chen, Xuewen Zheng, Miaosen Bian, Tingting Liu, Lei Liu, Yifei Zhang, Jianguo Cancer Cell Int Primary Research BACKGROUND: Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death. This study aimed to develop and validate reliable prognostic biomarkers and signature. METHODS: Differentially expressed genes were identified based on three Gene Expression Omnibus (GEO) datasets. Based on 1052 samples’ data from our cohort, GEO and The Cancer Genome Atlas, we explored the relationship of clinicopathological features and NEIL3 expression to determine clinical effect of NEIL3 in LUAD. Western blotting (22 pairs of tumor and normal tissues), Real-time quantitative PCR (19 pairs of tumor and normal tissues), and immunohistochemical analyses (406-tumor tissues subjected to microarray) were conducted. TIMER and ImmuCellAI analyzed relationship between NEIL3 expression and the abundance of tumor-infiltrating immune cells in LUAD. The co-expressed-gene prognostic signature was established based on the Cox regression analysis. RESULTS: This study identified 502 common differentially expressed genes and confirmed that NEIL3 was significantly overexpressed in LUAD samples (P < 0.001). Increased NEIL3 expression was related to advanced stage, larger tumor size and poor overall survival (p < 0.001) in three LUAD cohorts. The proportions of natural T regulatory cells and induced T regulatory cells increased in the high NEIL3 group, whereas those of B cells, Th17 cells and dendritic cells decreased. Gene set enrichment analysis indicated that NEIL3 may activate cell cycle progression and P53 signaling pathway, leading to poor outcomes. We identified nine prognosis-associated hub genes among 370 genes co-expressed with NEIL3. A 10-gene prognostic signature including NEIL3 and nine key co-expressed genes was constructed. Higher risk-score was correlated with more advanced stage, larger tumor size and worse outcome (p < 0.05). Finally, the signature was verified in test cohort (GSE50081) with superior diagnostic accuracy. CONCLUSIONS: This study suggested that NEIL3 has the potential to be an immune-related therapeutic target and an independent predictor of LUAD prognosis. We also developed a prognostic signature for LUAD with a precise diagnostic accuracy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-01938-4. BioMed Central 2021-04-20 /pmc/articles/PMC8059184/ /pubmed/33879165 http://dx.doi.org/10.1186/s12935-021-01938-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Zhao, Cui
Liu, Jian
Zhou, Haomiao
Qian, Xin
Sun, Hui
Chen, Xuewen
Zheng, Miaosen
Bian, Tingting
Liu, Lei
Liu, Yifei
Zhang, Jianguo
NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma
title NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma
title_full NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma
title_fullStr NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma
title_full_unstemmed NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma
title_short NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma
title_sort neil3 may act as a potential prognostic biomarker for lung adenocarcinoma
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059184/
https://www.ncbi.nlm.nih.gov/pubmed/33879165
http://dx.doi.org/10.1186/s12935-021-01938-4
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