Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8435571 | Cancer Letters | 2014 | 9 Pages |
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.
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Authors
Zhaoli Chen, Jiagen Li, Liqing Tian, Chengcheng Zhou, Yibo Gao, Fang Zhou, Susheng Shi, Xiaoli Feng, Nan Sun, Ran Yao, Kang Shao, Ning Li, Bin Qiu, Fengwei Tan, Jie He,