Non-Coding RNAs as Prognostic Biomarkers: A miRNA Signature Specific for Aggressive Early-Stage Lung Adenocarcinomas
العنوان: | Non-Coding RNAs as Prognostic Biomarkers: A miRNA Signature Specific for Aggressive Early-Stage Lung Adenocarcinomas |
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المؤلفون: | Roberto Cuttano, Paolo Graziano, Valentina Melocchi, Gian Maria Ferretti, Leonarda Di Candia, Tommaso Colangelo, Marco Taurchini, Francesco Mazzarelli, Fabrizio Bianchi, Elisa Dama |
المصدر: | Non-Coding RNA, Vol 6, Iss 48, p 48 (2020) Non-Coding RNA Volume 6 Issue 4 |
بيانات النشر: | MDPI AG, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | 0301 basic medicine, Oncology, Mirna signature, medicine.medical_specialty, lcsh:QH426-470, Biology, Biochemistry, Article, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, microRNA, Genetics, medicine, Stage (cooking), Lung cancer, Molecular Biology, Biomarkers, gene expression, lung cancer, MicroRNA, prognosis, Lung, food and beverages, Cancer, biomarkers, medicine.disease, lcsh:Genetics, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Cohort, Adenocarcinoma |
الوصف: | Lung cancer burden can be reduced by adopting primary and secondary prevention strategies such as anti-smoking campaigns and low-dose CT screening for high risk subjects (aged > 50 and smokers > 30 packs/year). Recent CT screening trials demonstrated a stage-shift towards earlier stage lung cancer and reduction of mortality (~20%). However, a sizable fraction of patients (30&ndash 50%) with early stage disease still experience relapse and an adverse prognosis. Thus, the identification of effective prognostic biomarkers in stage I lung cancer is nowadays paramount. Here, we applied a multi-tiered approach relying on coupled RNA-seq and miRNA-seq data analysis of a large cohort of lung cancer patients (TCGA-LUAD, n = 510), which enabled us to identify prognostic miRNA signatures in stage I lung adenocarcinoma. Such signatures showed high accuracy (AUC ranging between 0.79 and 0.85) in scoring aggressive disease. Importantly, using a network-based approach we rewired miRNA-mRNA regulatory networks, identifying a minimal signature of 7 miRNAs, which was validated in a cohort of FFPE lung adenocarcinoma samples (CSS, n = 44) and controls a variety of genes overlapping with cancer relevant pathways. Our results further demonstrate the reliability of miRNA-based biomarkers for lung cancer prognostication and make a step forward to the application of miRNA biomarkers in the clinical routine. |
وصف الملف: | application/pdf |
اللغة: | English |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2fca16b5e08d9f1b000e2d6910a8c54Test https://www.mdpi.com/2311-553X/6/4/48Test |
حقوق: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....f2fca16b5e08d9f1b000e2d6910a8c54 |
قاعدة البيانات: | OpenAIRE |
الوصف غير متاح. |