[Prognosis-related miRNA bioinformatics screening of lung adenocarcinoma and its clinical significance]

التفاصيل البيبلوغرافية
العنوان: [Prognosis-related miRNA bioinformatics screening of lung adenocarcinoma and its clinical significance]
المؤلفون: Hao-Min, Zhang, Bo, Yang, Hong-Fei, Chen, Xiao-Hua, Chi, Yi-Bo, Xi, Xi-Meng, Chen, Bin, Guo, Pei-Feng, He, Xue-Chun, Lu
المصدر: Zhongguo ying yong sheng li xue za zhi = Zhongguo yingyong shenglixue zazhi = Chinese journal of applied physiology. 34(6)
سنة النشر: 2019
مصطلحات موضوعية: Gene Expression Regulation, Neoplastic, MicroRNAs, Lung Neoplasms, Biomarkers, Tumor, Computational Biology, Humans, Adenocarcinoma of Lung, Prognosis
الوصف: To investigate the prognosis-related miRNA histological features and clinical significance of lung adenocarcinoma.Using The Cancer Genome Atlas (TCGA) data, the miRNA expression profile data of human lung adenocarcinoma were searched for differential analysis, and the prognosis-related miRNAs were screened by Cox risk regression model. The targeted miRNAs were predicted by mirwalk analysis platform, KEGG functional enrichment analysis, and finally, predict the function of prognosis-related miRNAs.A total of 46 differential miRNAs in lung adenocarcinoma were screened, including 19 up-regulated and 27 down-regulated. Six prognostic-related miRNAs were screened by Cox survival analysis, namely hsa-mir-21, hsa-mir-142, hsa-mir-200a high expression, hsa-mir-101, hsa-let-7c, hsa-mir-378e low expression, hsa-mir-21 and hsa-mir-378e were associated with poor prognosis in patients with lung adenocarcinoma, and the survival time was shortened significantly (Hsa-mir-21 and hsa-mir-378e are associated with poor prognosis of lung adenocarcinoma, and may be used as a molecular marker for prognosis of lung adenocarcinoma after further clinical verification.
تدمد: 1000-6834
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::f595eabb6e0942ba4e814228a5d9975a
https://pubmed.ncbi.nlm.nih.gov/31032588
رقم الأكسشن: edsair.pmid..........f595eabb6e0942ba4e814228a5d9975a
قاعدة البيانات: OpenAIRE