Comprehensive analysis of differentially expressed lncRNAs as diagnostic and prognostic markers for colorectal cancer

Zhang,Xunlei; Zhang,Xingsong; Shen,Lili; Song,Li; Wu,Jindong; Cao,Guangxin; Chen,Xin; Zhu,Bin

doi:10.3892/etm.2019.8067

Comprehensive analysis of differentially expressed lncRNAs as diagnostic and prognostic markers for colorectal cancer

Authors:
- Xunlei Zhang
- Xingsong Zhang
- Lili Shen
- Li Song
- Jindong Wu
- Guangxin Cao
- Xin Chen
- Bin Zhu
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Affiliations: Department of Oncology, Nantong Tumor Hospital, Nantong, Jiangsu 226300, P.R. China, Department of Pathology, Nantong Tumor Hospital, Nantong, Jiangsu 226300, P.R. China, Department of Oncology, Haimen People's Hospital, Nantong, Jiangsu 226100, P.R. China, Department of General Surgery, Nantong Tumor Hospital, Nantong, Jiangsu 226300, P.R. China, Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, P.R. China
Published online on: September 30, 2019 https://doi.org/10.3892/etm.2019.8067
Pages: 4481-4489
Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Colorectal cancer (CRC) is the third most common type of cancer worldwide. Recent studies had revealed the important roles of long non‑coding RNAs (lncRNAs) in a variety of human cancers, including CRC. However, the molecular mechanisms associated with CRC remain largely undetermined. In the current study, the GSE21510 dataset was analyzed to identify differentially expressed mRNAs and lncRNAs in CRC samples. The Database for Annotation, Visualization and Integrated Discovery was used to perform Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway bioinformatics analysis. Furthermore, protein‑protein interaction networks were constructed to reveal interactions among differentially expressed proteins. Kaplan‑Meier analysis was subsequently performed to determine the association between key lncRNA expression and the overall survival of patients with CRC. A total of 107 upregulated lncRNAs and 43 downregulated lncRNAs were identified in CRC. A lncRNA mediated co‑expression network was also constructed in CRC. Bioinformatics analysis indicated that lncRNAs were associated with a series of biological processes, including ‘xenobiotic glucuronidation’, ‘rRNA processing’, ‘sister chromatid cohesion’, ‘cell proliferation’, ‘mitotic nuclear division’ and ‘cell cycle regulation’. Furthermore, a higher expression of small nucleolar RNA host gene 17, tetratricopeptide repeat domain 2B‑antisense RNA (AS) 1, erythrocyte membrane protein band 4.1 like 4A‑AS2, deleted in lymphocytic leukemia 2, and a lower expression of muscle blind like splicing regulator 1‑AS1 and LOC389332 were associated with shorter overall survival time in CRC samples. The present study provides useful information that can be used in the identification of novel biomarkers for CRC.

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