Research Papers:
A long non-coding RNA signature for predicting survival in patients with colorectal cancer
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Abstract
Yi-Lin Wang1,*, Jun Shao3,*, Xiaohong Wu4,*, Tong Li5, Ming Xu3 and Debing Shi2
1Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
2Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Xuhui District, Shanghai 200032, China
3Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Changning District, Shanghai 200336, China
4Department of General Surgery, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu 214200, China
5Department of General Surgery, Jinan Fourth People's Hospital, Jinan 250031, China
*These authors contributed equally to this work
Correspondence to:
Debing Shi, email: [email protected]
Ming Xu, email: [email protected]
Keywords: long non-coding RNA; prognosis; colorectal cancer
Received: July 05, 2017 Accepted: November 17, 2017 Epub: December 19, 2017 Published: April 24, 2018
ABSTRACT
Dysregulation of long non-coding RNA (lncRNA) plays important roles in cancer development and progression. In this work, we attempted to develop a lncRNA signature to improve prognosis prediction of colorectal cancer. A comprehensive analysis for the lncRNA expression and corresponding clinical information of 344 colorectal patients has been performed based on the data from The Cancer Genome Atlas (TCGA). We randomly divided TCGA data into a training set (n = 172) and a testing set (n = 172). A four-lncRNA signature has been established which was significantly associated with the overall survival of colorectal cancer patients. Based on the four-lncRNA signature, the training set can be classified into high-risk and low-risk groups with significantly different survival. The result can be further validated in the testing dataset and another independent dataset. Further analyses suggested that the prognostic power of the four-lncRNA signature was independent of other clinical variables. The identification of lncRNA signature indicated that lncRNAs could be novel independent biomarkers for predicting the survival in patients with colorectal cancer.
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