MiRNAs Predict the Prognosis of Patients with Triple Negative Breast Cancer: A Meta-Analysis
| Autor: | Yanli Liu, Jing Li, Xiao-tian Ma, Qingfu Li, Yuchao Zhang, Shouhua Rong, Junfang Li, Liting Jia, Zhong Wu, Yuan Tian, Jinfang Xing |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Carcinogenesis Cancer Treatment lcsh:Medicine Triple Negative Breast Neoplasms Artificial Gene Amplification and Extension Bioinformatics medicine.disease_cause Biochemistry Polymerase Chain Reaction 0302 clinical medicine Mathematical and Statistical Techniques Breast Tumors Medicine and Health Sciences Medicine lcsh:Science Triple-negative breast cancer Multidisciplinary Prognosis Gene Expression Regulation Neoplastic Nucleic acids Oncology 030220 oncology & carcinogenesis Meta-analysis Physical Sciences Female Statistics (Mathematics) Research Article Research and Analysis Methods 03 medical and health sciences Breast cancer Diagnostic Medicine microRNA Breast Cancer Biomarkers Tumor Genetics Humans Statistical Methods Non-coding RNA Molecular Biology Techniques Pathological Molecular Biology Biology and life sciences business.industry lcsh:R Cancer Cancers and Neoplasms Reverse Transcriptase-Polymerase Chain Reaction medicine.disease Gene regulation MicroRNAs 030104 developmental biology RNA lcsh:Q Gene expression business Mathematics Biomarkers Meta-Analysis |
| Zdroj: | PLoS ONE, Vol 12, Iss 1, p e0170088 (2017) PLoS ONE |
| ISSN: | 1932-6203 |
| Popis: | Purpose miRNAs are stable and can be extracted from tissues, blood and other body fluid without degradation. miRNAs are abnormally expressed in the presence of a pathological status, including cancer. Therefore, miRNAs are ideal biomarkers for cancer diagnosis and prognosis. Patients with triple negative breast cancer (TNBC) suffer the worst prognosis, although great efforts have been made. Many studies have investigated the role of miRNAs in predicting the outcomes of TNBC patients for better adjustment of treatment. However, results were inconsistent. Thus, we performed a meta-analysis to summarize the published studies for conclusive results. Methods Eligible studies from different database were retrieved from the online databases, and we used STSTA 12.0 to analysis the prognostic role of miRNAs in triple negative breast cancer. Results Overall high miRNA expression indicated a worse survival with HR value of 1.78 (95% CI: 0.97–3.25). However, subtotal HRs of oncogenic miRNAs and tumor suppressive miRNAs were 2.73 (95% CI: 2.08–3.57; P |
| Databáze: | OpenAIRE |
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