ArticleCancer management and research2018
Identification of genes and analysis of prognostic values in nonsmoking females with non-small cell lung carcinoma by bioinformatics analyses.
Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
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- Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches.Scientific reports · 2023Article
- Bioinformatics analysis of key biomarkers for bladder cancer.Biomedical reports · 2023Article
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- Intratumoral Heterogeneity and Immune Modulation in Lung Adenocarcinoma in Female Smokers and Never Smokers.Cancer research · 2022Article
- Subtype-dependent regulation of Gβγ signalling.Cellular signalling · 2021Review
- Identification of Significant Genes in Lung Cancer of Nonsmoking Women via Bioinformatics Analysis.BioMed research international · 2021Article
- Identified GNGT1 and NMU as Combined Diagnosis Biomarker of Non-Small-Cell Lung Cancer Utilizing Bioinformatics and Logistic Regression.Disease markers · 2021Article
- Role of Annexin A1 in Squamous Cell Lung Cancer Progression.Disease markers · 2021Article
- MITF functions as a tumor suppressor in non-small cell lung cancer beyond the canonically oncogenic role.Aging · 2020Article
- Identification of significant genes in non-small cell lung cancer by bioinformatics analyses.Translational cancer research · 2020Article
- CDK1 and CCNB1 as potential diagnostic markers of rhabdomyosarcoma: validation following bioinformatics analysis.BMC medical genomics · 2019Article
- Identification of candidate genes associated with the pathogenesis of small cell lung cancer via integrated bioinformatics analysis.Oncology letters · 2019Article
- Genome‑wide investigation of the clinical significance and prospective molecular mechanisms of kinesin family member genes in patients with lung adenocarcinoma.Oncology reports · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study was performed to identify disease-related genes and analyze prognostic values in nonsmoking females with non-small cell lung carcinoma (NSCLC). MATERIALS AND
methodsGene expression profile GSE19804 was downloaded from the Gene Expression Omnibus (GEO) database and analyzed by using GEO2R. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used for the functional and pathway enrichment analysis. Then, the Search Tool for the Retrieval of Interacting Genes, Cytoscape, and Molecular Complex Detection were used to construct the protein-protein interaction (PPI) network and identify hub genes. Finally, the Kaplan-Meier plotter online tool was used for the overall survival analysis of hub genes.
resultsA cohort of 699 differentially expressed genes was screened, and they were mainly enriched in the terms of ECM-receptor interaction, focal adhesion, and cell adhesion molecules. A PPI network was constructed, and 15 hub genes were identified base on the subset of PPI network. Then, two significant modules were detected and several genes were found to be associated with the cell cycle pathway. Finally, nine hub genes' (UBE2C, DLGAP5, TPX2, CCNB2, BIRC5, KIF20A, TOP2A, GNG11, and ANXA1) expressions were found to be associated with the prognosis of the patients.
conclusionOverall, we propose that the cell cycle pathway may play an important role in nonsmoking females with NSCLC and the nine hub genes may be further explored as potential targets for NSCLC diagnosis and treatment.
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