Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer.
Background and objective Lung cancer represents the main cause of cancer-related deaths worldwide, and non-small cell lung cancer (NSCLC) is the most main subtype. More than half of NSCLC patients have already developed distant metastasis (DM) at the time of diagnosis and have a poor prognosis. Ther...
| Publicado en: | Chinese Journal of Lung Cancer Vol. 27; no. 12; pp. 919 - 931 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Chinese Journal of Lung Cancer
Dec2024
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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=183140521&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183140521 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10093419 9014 jtl: Chinese Journal of Lung Cancer issn: 10093419 maglogo: N pubinfo: dt: Dec2024 vid: 27 iid: 12 pid: 54191 pub: Chinese Journal of Lung Cancer artinfo: ui: 183140521 183140521 183140521 10.3779/j.issn.1009-3419.2024.102.43 183140521 ppf: 919 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer. aug: au: Jingjing CONG Anna WANG Yingjia WANG Xinge 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: Adenocarcinoma of Lung Familial and Genetic Neoplasm Metastasis Familial and Genetic Lung Neoplasms Familial and Genetic Adenocarcinoma of Lung Diagnosis Neoplasm Metastasis Diagnosis Lung Neoplasms Diagnosis MicroRNA Tumor Markers, Biological Prediction Models Human Cancer Patients Comparative Studies Bioinformatics Kaplan-Meier Estimator ROC Curve Logistic Regression Descriptive Statistics Funding Source Gene Expression Profiling Predictive Value of Tests Adenocarcinoma of Lung Prognosis Neoplasm Metastasis Prognosis Lung Neoplasms Prognosis Adenocarcinoma of Lung Risk Factors Neoplasm Metastasis Risk Factors Lung Neoplasms Risk Factors ab: Background and objective Lung cancer represents the main cause of cancer-related deaths worldwide, and non-small cell lung cancer (NSCLC) is the most main subtype. More than half of NSCLC patients have already developed distant metastasis (DM) at the time of diagnosis and have a poor prognosis. Therefore, it is necessary to find new biomarkers for predicting NSCLC DM in order to guide subsequent treatment and thus improve the prognosis of NSCLC patients. Numerous studies have shown that microRNAs (miRNAs) are abnormally expressed in lung cancer tissues and play an important role in tumorigenesis and progression. The aim of this study is to identify differentially expressed miRNAs in lung adenocarcinoma tissues with DM group compared to those with non-distant metastasis (NDM) group, and to construct a miRNA signature for predicting DM of lung adenocarcinoma. Methods We first obtained miRNA and clinical data for patients with lung adenocarcinoma from The Cancer Genome Atlas (TCGA) database. Subsequently, bioinformatics analysis, which included different R packages, Kaplan-Meier analysis, receiver operating characteristic (ROC) curve, and a range of online analysis tools, was performed to analyze the data. Results A total of 12 differentially expressed miRNAs were identified between the DM and NDM groups, and 8 miRNAs (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) were screened for constructing a miRNA signature. The efficacy of this miRNA signature in predicting DM was good with an area under the curve (AUC) of 0.831. Logistic regression analysis showed that this miRNA signature was an independent risk factor for DM of lung adenocarcinoma. Next, target genes of the eight miRNAs were predicted, and enrichment analysis showed that these target genes were enriched in a variety of pathways, including pathways in cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK pathway, Ras pathway, etc. Conclusion This miRNA signature has good efficacy in predicting DM of lung adenocarcinoma and has the potential to be a predictor of DM of lung adenocarcinoma. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: Chinese refInfo: holdings: @attributes: islocal: N |
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