ArticleEvolutionary bioinformatics online2021
Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma.
Article in Evolutionary bioinformatics online, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- CLDN8 and ABCA12 define a shared molecular signature in ulcerative colitis-psoriasis comorbidity.Frontiers in immunology · 2026Article
- Inference of Gene Regulatory Networks for Breast Cancer Based on Genetic Modules.BME frontiers · 2025Article
- Article
- A novel feature selection algorithm for identifying hub genes in lung cancer.Scientific reports · 2023Article
- Machine learning-based immune prognostic model and ceRNA network construction for lung adenocarcinoma.Journal of cancer research and clinical oncology · 2023Article
- Construction of a co-expression network and prediction of metastasis markers in colorectal cancer patients with liver metastasis.Journal of gastrointestinal oncology · 2022Article
- Construction and evaluation of a nomogram for predicting survival in patients with lung cancer.Aging · 2022Article
- Integrative analysis reveals methylenetetrahydrofolate dehydrogenase 1-like as an independent shared diagnostic and prognostic biomarker in five different human cancers.Bioscience reports · 2022Article
- A pan-cancer analysis of GINS complex subunit 4 to identify its potential role as a biomarker in multiple human cancers.American journal of cancer research · 2022Article
- Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma.Frontiers in genetics · 2021Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung adenocarcinoma (LUAD) is a tumor with high incidence. This study aimed to identify the central genes of LUAD. LUAD were analyzed by weighted gene co-expression network (WGCNA), and differentially expressed genes (DEGs) were identified. Samples were obtained from The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases and included 515 LUAD samples and 347 normal samples. The WGCNA algorithm generated a total of 10 modules. The top 2 modules (MEturquoise and MEblue) with the highest correlation to LUAD were selected. Ten Hub genes (IL6, CDH1, PECAM1, SPP1, THBS1, HGF, SNCA, CDH5, CAV1, and DLC1) were screened in the intersecting genes of DEGs and WGCNA (MEturquoise and MEblue). Only SPP1 was correlated with LUAD poor survival, indicating that SPP1 may be a key Hub gene for LUAD. The competing endogenous RNA (ceRNA) network was constructed to analyze the regulatory relationship of Hub genes, and SPP1 may be directly regulated by 4 microRNAs (miRNAs) and indirectly regulated by 49 long noncoding RNAs (lncRNAs).
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