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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Oncol. | doi: 10.3389/fonc.2019.01269

An integrated three-long noncoding RNA signature predicts prognosis in colorectal cancer patients

 Yuhang Liu1, 2,  Bingxin Liu1, 2, Guoying Jin1, 2,  Jia Zhang1, 2, Xue Wang2, Yuyang Feng2,  Zehua Bian1, 2, Bojian Fei3,  Yuan Yin1, 2* and  Zhaohui Huang1, 2*
  • 1Affiliated Hospital of Jiangnan University, China
  • 2Wuxi Medical College, Jiangnan University, China
  • 3Department of Surgical Oncology, Affiliated Hospital of Jiangnan University, China

Colorectal cancer (CRC) is one of the most common cancer worldwide, the morbidity and mortality gradually increased. Here, we aimed to identify and access prognostic lncRNAs associated with overall survival (OS) in CRC. Firstly, RNA expression profiles were obtained from The Cancer Genome Atlas (TCGA) database and 439 CRC patients were enrolled as training set. Univariate Cox analysis and the least absolute shrinkage and selection operator analysis (LASSO) were performed to identify the prognostic long noncoding RNAs (lncRNAs). Multivariable Cox regression analysis was used to establish a prognostic risk formula including three lncRNAs (AP003555.2, AP006284.1 and LINC01602). The low-risk group had a better OS than that of the high-risk group (P<0.0001) and the area under the receiver operating characteristic curve (AUC) of 3‐, and 5‐year OS were 0.712 and 0.674, respectively. Then, we evaluated the signature in a clinical validation set which were collected from the Affiliated Hospital of Jiangnan University. Compared with low-risk score group, patients’ OS were found to be significantly worse in high-risk group (P=0.0057). The AUC of 3‐, and 5‐year OS were 0.701 and 0.694, respectively. Finally, we constructed a lncRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network to explore the potential function of 3 differentially expressed lncRNAs (DElncRNAs). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated these DElncRNAs were involved with several cancer-related pathways. In summary, our data provides evidence that the three-lncRNA signature could serve as an independent biomarker to predict prognosis in CRC. This study will also suggest that these three lncRNAs potentially participate in the progression of CRC.

Keywords: long non-coding RNA, overall survival, prognosis, biomarkers, training set, clinical validation set

Received: 28 Jul 2019; Accepted: 04 Nov 2019.

Copyright: © 2019 Liu, Liu, Jin, Zhang, Wang, Feng, Bian, Fei, Yin and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Dr. Yuan Yin, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, China,
Dr. Zhaohui Huang, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, China,