ArticleFrontiers in genetics2021
Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma.
Article in Frontiers in genetics, 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, 11 citations in OpenAlex.
- The flavonoid astragalin induces apoptosis in lung adenocarcinoma and correlates with a prognostic cell cycle gene signature associated with PANoptosis.Translational cancer research · 2026Article
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- Pan-cancer landscape analysis of NOP58 and its oncogenic driving role in lung adenocarcinoma.Scientific reports · 2024Article
- Implications of GCLC in prognosis and immunity of lung adenocarcinoma and multi-omics regulation mechanisms.BMC pulmonary medicine · 2024Article
- Overexpression of NOP58 Facilitates Proliferation, Migration, Invasion, and Stemness of Non-small Cell Lung Cancer by Stabilizing hsa_circ_0001550.Anti-cancer agents in medicinal chemistry · 2024Article
- A novel feature selection algorithm for identifying hub genes in lung cancer.Scientific reports · 2023Article
- Ribosome biogenesis and function in development and disease.Development (Cambridge, England) · 2023Review
- Article
- Aberrant expression of KDM1A inhibits ferroptosis of lung cancer cells through up-regulating c-Myc.Scientific reports · 2022Article
- Machine Learning Screens Potential Drugs Targeting a Prognostic Gene Signature Associated With Proliferation in Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence via weighted gene co-expression network analysis (WGCNA). Microarray samples from LUAD dataset of GSE32863 were analyzed, and the modules with the highest correlation to tumor recurrence were selected. Functional enrichment analysis was conducted, followed by establishment of a protein-protein interaction (PPI) network. Subsequently, hub genes were identified by overall survival analyses and further validated by evaluation of expression in both myeloid populations and tissue samples of LUAD. Gene set enrichment analysis (GSEA) was then carried out, and construction of transcription factors (TF)-hub gene and drug-hub gene interaction network was also achieved. A total of eight hub genes (
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