Publication date: Available online 17 March 2018
Source:Human Pathology
Author(s): Xu Chen, Ya-Wen Wang, Wen-Jie Zhu, Yan Li, Lin Liu, Gang Yin, Peng Gao
Recent findings have reported that human microRNAs (miRNAs) could serve as prognostic biomarkers in various cancers. We aimed to identify miRNAs that were associated with lymph node metastasis (LNM) and prognosis in breast cancer patients. A miRNA microarray covering 2019 mature miRNAs was used to identify differentially-expressed miRNAs in nine patients with LNM and three patients without LNM. Thirty-five differentially expressed miRNAs were identified, of which 10 significantly were up-regulated while the other 25 were down-regulated in tissues with LNM compared to those without LNM. Seven miRNAs were subjected to quantitative real-time polymerase chain reaction PCR (qRT-PCR) and four miRNAs (miR-191-5p, miR-214–3p, miR-451a and miR-489) were validated in a total of 159 patients including a training set (n=64) and a validation set (n=95). The four miRNAs were used to construct a miRNA signature by Logistic regression. Risk scores derived from the four-miRNA signature were calculated to stratify the patients into high- or low-risk groups. Patients with high-risk scores had poorer overall survival (OS) and disease-free survival (DFS) than those with low-risk scores. The miRNA signature was an independent prognostic factor. MiR-191 increased whereas miR-214–3p, miR-451a and miR-489 inhibited cell proliferation, migration, and invasion abilities. The four-miRNA signature may be a reliable prognostic and predictive tool for metastasis and survival in breast cancer patients.
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