Predictive Value of miRNAs Markers for Advanced Lung Squamous Cell Carcinoma.
Background and objective Lung cancer is one of the leading causes of cancer-related mortality worldwide, with above 80% of cases be non-small cell lung cancer (NSCLC), among which lung squamous cell carcinoma (LUSC) occupies a significant proportion. Although comprehensive cancer therapies have cons...
| Publicado en: | Chinese Journal of Lung Cancer Vol. 28; no. 5; pp. 325 - 334 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Chinese Journal of Lung Cancer
May2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185891488&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185891488 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10093419 9014 jtl: Chinese Journal of Lung Cancer issn: 10093419 maglogo: N pubinfo: dt: May2025 vid: 28 iid: 5 pid: 54191 pub: Chinese Journal of Lung Cancer artinfo: ui: 185891488 185891488 185891488 10.3779/j.issn.1009-3419.2025.102.16 185891488 ppf: 325 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Predictive Value of miRNAs Markers for Advanced Lung Squamous Cell Carcinoma. aug: au: Anna WANG Jingjing CONG Yingjia WANG Xin'ge LI Junjian PI Kaijing LIU Hongjie ZHANG Xiaoyan YAN Hongmei LI affil: Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China sug: subj: Lung Neoplasms Pathology Carcinoma, Squamous Cell Pathology Lung Neoplasms Familial and Genetic Carcinoma, Squamous Cell Familial and Genetic Neoplasm Staging MicroRNA Metabolism Tumor Markers, Biological Metabolism Predictive Value of Tests Disease Progression Human Cancer Patients Bioinformatics ROC Curve Gene Expression Comparative Studies Descriptive Statistics Models, Statistical Prediction Models Mitogen-Activated Protein Kinases Metabolism Signal Transduction Transferases Metabolism Protein-Tyrosine Kinases Metabolism Lung Neoplasms Prognosis Carcinoma, Squamous Cell Prognosis ab: Background and objective Lung cancer is one of the leading causes of cancer-related mortality worldwide, with above 80% of cases be non-small cell lung cancer (NSCLC), among which lung squamous cell carcinoma (LUSC) occupies a significant proportion. Although comprehensive cancer therapies have considerably improved the overall survival of patients, patients with advanced LUSC have a poorer prognosis. Therefore, there is a need for a biomarker to predict the progress of advanced LUSC in order to improve prognosis through early diagnosis. Previous studies have shown that miRNAs are differentially expressed in lung cancer tissues and play roles as potential oncogenes or tumor suppressors. The aim of this study is to identify differentially expressed miRNAs between early-stage and advanced-stage LUSC, and to establish a set of miRNAs that can predict the progress of advanced LUSC. Methods Clinical data and miRNA-related data of LUSC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Bioinformatic methods were applied to analyze the data. Receiver operating characteristic (ROC) curves were plotted, and various online tools were used to predict target genes, with subsequent analysis of the potential biological mechanisms of these genes. Results A total of 58 differentially expressed miRNAs were identified between the experiment group and the control group. Seven miRNAs were selected for potential construction of a miRNA biomarker through LASSO regression, and based on the area under the curve (AUC) values of each miRNA, four of these miRNAs (miR-377-3p, miR-4779, miR-6803-5p, miR-3960) were ultimately chosen as biomarkers for predicting advanced LUSC. The AUC under the ROC curve for the combined four miRNAs was 0.865. Enrichment analysis showed that these target genes were involved in several pathways, including cancer-related pathways, mitogen-activated protein kinase (MAPK) signaling pathway, serine/threonine kinase, and tyrosine kinase signaling pathways. Conclusion The combined use of miR-377-3p, miR-4779, miR-6803-5p and miR-3960 provides a good predictive ability for the progress of advanced LUSC patients, with an AUC of 0.865. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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