ArticleBiology2021
Identification of Prognostic Gene Biomarkers in Non-Small Cell Lung Cancer Progression by Integrated Bioinformatics Analysis.
Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 62 citations in OpenAlex.
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- Single cell transcriptomic analysis reveals tumor immune infiltration by macrophage cells gene signature in lung adenocarcinoma.Discover oncology · 2025Article
- Immunotherapy of small cell lung cancer based on prognostic nutritional index.Frontiers in immunology · 2025Review
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- Association between strenuous sports or other exercises and lung cancer risk: a mendelian randomization study.Translational lung cancer research · 2024Article
- A novel prognostic signature based on smoking-associated genes for predicting prognosis and immune microenvironment in NSCLC smokers.Cancer cell international · 2024Article
- Airway basal cell‑derived exosomes suppress epithelial‑mesenchymal transition of lung cells by inhibiting the expression of ANO1.Experimental and therapeutic medicine · 2024Article
- MRPS16 promotes lung adenocarcinoma growth via the PI3K/AKT/Frataxin signalling axis.Journal of cellular and molecular medicine · 2024Article
- Progress in the research of cuproptosis and possible targets for cancer therapy.World journal of clinical oncology · 2023Review
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- TGF-β Signaling in Progression of Oral Cancer.International journal of molecular sciences · 2023Review
- Germline genetic variants and pediatric rhabdomyosarcoma outcomes: a report from the Children's Oncology Group.Journal of the National Cancer Institute · 2023Article
- The identification of a two-gene prognostic model based on cisplatin resistance-related ceRNA network in small cell lung cancer.BMC medical genomics · 2023Article
- A cuproptosis-related lncRNAs risk model to predict prognosis and guide immunotherapy for lung adenocarcinoma.Annals of translational medicine · 2023Article
- Down-regulation of FBP1 in lung adenocarcinoma cells promotes proliferation and invasion through SLUG mediated epithelial mesenchymal transformation.Translational cancer research · 2023Article
- LincRNA ZNF529-AS1 inhibits hepatocellular carcinoma via FBXO31 and predicts the prognosis of hepatocellular carcinoma patients.BMC bioinformatics · 2023Article
- Identification of prognostic and predictive biomarkers in high-dimensional data with PPLasso.BMC bioinformatics · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The progression of non-small cell lung cancer (NSCLC) is linked to epithelial-mesenchymal transition (EMT), a biologic process that enables tumor cells to acquire a migratory phenotype and resistance to chemo- and immunotherapies. Discovery of novel biomarkers in NSCLC progression is essential for improved prognosis and pharmacological interventions. In the current study, we performed an integrated bioinformatics analysis on gene expression datasets of TGF-β-induced EMT in NSCLC cells to identify novel gene biomarkers and elucidate their regulation in NSCLC progression. The gene expression datasets were extracted from the NCBI Gene Expression Omnibus repository, and differentially expressed genes (DEGs) between TGF-β-treated and untreated NSCLC cells were retrieved. A protein-protein interaction network was constructed and hub genes were identified. Functional and pathway enrichment analyses were conducted on module DEGs, and a correlation between the expression levels of module genes and survival of NSCLC patients was evaluated. Prediction of interactions of the biomarker genes with transcription factors and miRNAs was also carried out. We described four protein clusters in which DEGs were associated with ubiquitination (Module 1), regulation of cell death and cell adhesions (Module 2), oxidation-reduction reactions of aerobic respiration (Module 3) and mitochondrial translation (Module 4). From the module genes, we identified ten prognostic gene biomarkers in NSCLC. Low expression levels of
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.