ArticleOncoTargets and therapy2019
Combining data from TCGA and GEO databases and reverse transcription quantitative PCR validation to identify gene prognostic markers in lung cancer.
Article in OncoTargets and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 34 citations in OpenAlex.
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- Multicategory Survival Outcomes Classification via Overlapping Group Screening Process Based on Multinomial Logistic Regression Model With Application to TCGA Transcriptomic Data.Cancer informatics · 2024Article
- Machine learning-guided differential gene expression analysis identifies a highly-connected seven-gene cluster in triple-negative breast cancer.BioMedicine · 2024Article
- Multi-Omics Identification of Genetic Alterations in Head and Neck Squamous Cell Carcinoma and Therapeutic Efficacy of HNC018 as a Novel Multi-Target Agent for c-MET/STAT3/AKT Signaling Axis.International journal of molecular sciences · 2023Article
- Evaluating the Expression and Prognostic Value of Genes Encoding Microtubule-Associated Proteins in Lung Cancer.International journal of molecular sciences · 2022Article
- Testing lncRNAs signature as clinical stage-related prognostic markers in gastric cancer progression using TCGA database.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- High expression of C10orf91 and LINC01224 in hepatocellular carcinoma and poor prognosis.American journal of translational research · 2022Article
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- Subcellular localization of HMGB1 in human cholangiocarcinoma: correlation with tumor stage.Discover oncology · 2021Article
- Prognostic value of immune-related lncRNA pairs in patients with bladder cancer.World journal of surgical oncology · 2021Article
- In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.International journal of molecular sciences · 2021Article
- Roles of HOTAIR in lung cancer susceptibility and prognosis.Molecular genetics & genomic medicine · 2020Article
- MicroRNAs alteration as early biomarkers for cancer and neurodegenerative diseases: New challenges in pesticides exposure.Toxicology reports · 2020Article
- Intracellular Chloride Channels: Novel Biomarkers in Diseases.Frontiers in physiology · 2020Review
- FTX contributes to cell proliferation and migration in lung adenocarcinoma via targeting miR-335-5p/NUCB2 axis.Cancer cell international · 2020Article
- Condemned or Not to Die? Gene Polymorphisms Associated With Cell Death in Pemphigus Foliaceus.Frontiers in immunology · 2019Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to predict and explore the possible mechanism and clinical value of genetic markers in the development of lung cancer with a combined database to screen the prognostic genes of lung cancer. MATERIALS AND
methodsCommon differential genes in two gene expression chips (GSE3268 and GSE10072 datasets) were investigated by collecting and calculating from Gene Expression Omnibus and The Cancer Genome Atlas databases using R language. Five markers of gene composition (ribonucleotide reductase regulatory subunit M2 [RRM2], trophoblast glycoprotein [TPBG], transmembrane protease serine 4[TMPRFF4], chloride intracellular channel 3 [CLIC3], and WNT inhibitory factor-1 [WIF1]) were found by the stepwise Cox regression function when we further screened combinations of gene models, which were more meaningful for prognosis. By analyzing the correlation between gene markers and clinicopathological parameters of lung cancer and its effect on prognosis, the TPBG gene was selected to analyze differential expression, its possible pathways and functions were predicted using gene set enrichment analysis (GSEA), and its protein interaction network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database; then, quantitative PCR and the Oncomine database were used to verify the expression differences of TPBG in lung cancer cells and tissues.
resultsThe expression levels of five genetic markers were correlated with survival prognosis, and the total survival time of the patients with high expression of the genetic markers was shorter than those with low expression (
conclusionThe high expression of five gene constituent markers is a poor prognostic factor in lung cancer and may serve as an effective biomarker for predicting metastasis and prognosis of patients with lung cancer.
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