| Literature DB >> 24769072 |
Zhaoli Chen1, Jiagen Li1, Liqing Tian2, Chengcheng Zhou1, Yibo Gao1, Fang Zhou1, Susheng Shi3, Xiaoli Feng3, Nan Sun1, Ran Yao1, Kang Shao1, Ning Li1, Bin Qiu1, Fengwei Tan1, Jie He4.
Abstract
In this study, we analyzed the microRNA (miRNA) expression profile of 119 paired ESCC samples by microarray and identified a four-miRNA signature that predicted patient survival. The signature derived from the training set (n=60) had a good prognostic value in the test set (n=59) and the independent cohort (n=58), indicating the replicability of its prognostic value. Furthermore, the stratified analysis showed that the signature could predict the survival of TNM stage II and stage III patients, indicating that the four-miRNA signature could help to more accurately predict ESCC patient survival.Entities:
Keywords: Biomarker; Esophageal squamous cell carcinoma; MicroRNA; Prognosis; Signature
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Year: 2014 PMID： 24769072 DOI： 10.1016/j.canlet.2014.04.013
Source DB: PubMed Journal: Cancer Lett ISSN： 0304-3835 Impact factor: 8.679