NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma

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

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Bibliographic Details
Published in:Cancer cell international 2021-04, Vol.21 (1), p.228-228, Article 228
Main Authors: Zhao, Cui, Liu, Jian, Zhou, Haomiao, Qian, Xin, Sun, Hui, Chen, Xuewen, Zheng, Miaosen, Bian, Tingting, Liu, Lei, Liu, Yifei, Zhang, Jianguo
Format: Article
Language:English
Subjects:
Adenocarcinoma
Bioinformatics
Biomarkers
Cell cycle
Dendritic cells
DNA microarrays
Gene expression
Gene set enrichment analysis
Genomes
Helper cells
Immunohistochemistry
Immunoregulation
Lung adenocarcinoma
Lung cancer
Lymphatic system
Lymphocytes B
Lymphocytes T
Medical prognosis
Medical research
Metastasis
NEIL3
p53 Protein
Pathology
Polymerase chain reaction
Primary Research
Prognosis
Prognostic signature
Proteins
Real-time quantitative PCR
Regression analysis
Signal transduction
Software
Therapeutic targets
Tumor-infiltrating lymphocytes
Values
Western blotting
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Summary:Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death. This study aimed to develop and validate reliable prognostic biomarkers and signature. 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. This study identified 502 common differentially expressed genes and confirmed that NEIL3 was significantly overexpressed in LUAD samples (P 
ISSN:1475-2867
1475-2867
DOI:10.1186/s12935-021-01938-4