ArticlePeerJ2019
Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed, 64 citations in OpenAlex.
- Transcriptomic analysis of differential expression between surviving and nonsurviving patients infected by the SARS-CoV-2 Delta variant.Scientific reports · 2025Article
- Potential prognostic and predictive biomarkers: METTL5, METTL7A, and METTL7B expression in gastrointestinal cancers.Molecular biology reports · 2025Article
- Exploring gene regulatory interaction networks and predicting therapeutic molecules for hypopharyngeal cancer and EGFR-mutated lung adenocarcinoma.FEBS open bio · 2024Article
- Identification of T-cell exhaustion-related genes and prediction of their immunotherapeutic role in lung adenocarcinoma.Journal of Cancer · 2024Article
- Development of a cuproptosis-related signature for prognosis prediction in lung adenocarcinoma based on WGCNA.Translational lung cancer research · 2023Article
- Evidence Based on an Integrative Analysis of Multi-Omics Data on METTL7A as a Molecular Marker in Pan-Cancer.Biomolecules · 2023Article
- Article
- An in-silico approach leads to explore six genes as a molecular signatures of lung adenocarcinoma.American journal of cancer research · 2023Article
- Up-Regulated Proteins Have More Protein-Protein Interactions than Down-Regulated Proteins.The protein journal · 2022Article
- Circ-GSK3B up-regulates GSK3B to suppress the progression of lung adenocarcinoma.Cancer gene therapy · 2022Article
- Identification of a Novel Risk Model: A Five-Gene Prognostic Signature for Pancreatic Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- PLK1 Is a Potential Prognostic Factor Associated with the Tumor Microenvironment in Lung Adenocarcinoma.BioMed research international · 2022Article
- An Immune-Related Prognostic Risk Model in Colon Cancer by Bioinformatics Analysis.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions.Briefings in bioinformatics · 2021Article
- Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.Hereditas · 2021Article
- Bioinformatics analysis identified CDC20 as a potential drug target for cholangiocarcinoma.PeerJ · 2021Article
- A Systematic Analysis Identifies Key Regulators Involved in Cell Proliferation and Potential Drugs for the Treatment of Human Lung Adenocarcinoma.Frontiers in oncology · 2021Article
- Identification of Prognostic Related Genes of Tumor Microenvironment Derived From Esophageal Cancer Patients.Pathology oncology research : POR · 2021Article
- Microenvironment-related prognostic genes in esophageal cancer.Translational cancer research · 2020Article
- METTL7B (methyltransferase-like 7B) identification as a novel biomarker for lung adenocarcinoma.Annals of translational medicine · 2020Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung adenocarcinoma (LUAD) is the major subtype of lung cancer and the most lethal malignant disease worldwide. However, the molecular mechanisms underlying LUAD are not fully understood.
methodsFour datasets (GSE118370, GSE85841, GSE43458 and GSE32863) were obtained from the gene expression omnibus (GEO). Identification of differentially expressed genes (DEGs) and functional enrichment analysis were performed using the limma and clusterProfiler packages, respectively. A protein-protein interaction (PPI) network was constructed via Search Tool for the Retrieval of Interacting Genes (STRING) database, and the module analysis was performed by Cytoscape. Then, overall survival analysis was performed using the Kaplan-Meier curve, and prognostic candidate biomarkers were further analyzed using the Oncomine database.
resultsTotally, 349 DEGs were identified, including 275 downregulated and 74 upregulated genes which were significantly enriched in the biological process of extracellular structure organization, leukocyte migration and response to peptide. The mainly enriched pathways were complement and coagulation cascades, malaria and prion diseases. By extracting key modules from the PPI network, 11 hub genes were screened out. Survival analysis showed that except VSIG4, other hub genes may be involved in the development of LUAD, in which MYH10, METTL7A, FCER1G and TMOD1 have not been reported previously to correlated with LUAD. Briefly, novel hub genes identified in this study will help to deepen our understanding of the molecular mechanisms of LUAD carcinogenesis and progression, and to discover candidate targets for early detection and treatment of LUAD.
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