Research Papers:

A long non-coding RNA expression signature to predict survival of patients with colon adenocarcinoma

Weinan Xue, Jingwen Li, Fan Wang, Peng Han, Yanlong Liu and Binbin Cui _

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Oncotarget. 2017; 8:101298-101308. https://doi.org/10.18632/oncotarget.21064

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Weinan Xue1,*, Jingwen Li1,*, Fan Wang2,*, Peng Han1, Yanlong Liu1 and Binbin Cui1

1Department of Colorectal Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150081, China

2Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, 150081, China

*These authors contributed equally to this work

Correspondence to:

Binbin Cui, email: [email protected]

Yanlong Liu, email: [email protected]

Keywords: biomarkers, colon adenocarcinoma, expression profiles, long non-coding RNA

Received: July 18, 2017     Accepted: August 27, 2017     Published: September 19, 2017


Colon cancer is the most common type of gastrointestinal cancer and is still the leading cause of cancer-related mortality worldwide. Long non-coding RNAs (lncRNAs) have been proved to be superior biomarkers in cancer diagnosis and prognosis than miRNAs and protein-coding genes. In the current study, our objective was to detect novel lncRNA biomarkers by analyzing lncRNA expression profiles and clinical data in a large cohort of patients with colon patients from The Cancer Genome Atlas (TCGA). By using Cox regression analysis, we identified two lncRNAs (SNHG6 and CTD-2354A18.1) which could be independent prognostic factors for predicting clinical outcome in colon adenocarcinoma. Then a linear combination of these two lncRNA biomarkers (SNHG6 and CTD-2354A18.1), termed two-lncRNA signature, was developed in the training set as a predictor for OS in patients with colon adenocarcinoma, and validated in the testing set and the entire patient set. This two-lncRNA signature demonstrated significant prognostic performance in both the testing set and the entire patient set which classified the patients into two groups with significantly different OS. The multivariate and stratified analysis suggested that the prognostic value of the two-lncRNA signature was independent of other traditional clinical variables. Functional analysis suggested that these two lncRNA biomarkers might be mainly involved in transcription/translation-related or DNA repair-related biological processes. In summary, our results warrant further studies on these lncRNAs that will improve our understanding of the mechanisms associated with pathogenesis and progression of colon adenocarcinoma.

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