Analysis of differentially expressed circular RNAs for the identification of a coexpression RNA network and signature in colorectal cancer.


Journal

Journal of cellular biochemistry
ISSN: 1097-4644
Titre abrégé: J Cell Biochem
Pays: United States
ID NLM: 8205768

Informations de publication

Date de publication:
04 2019
Historique:
received: 10 09 2018
accepted: 27 09 2018
pubmed: 16 10 2018
medline: 10 7 2020
entrez: 16 10 2018
Statut: ppublish

Résumé

Circular RNAs (circRNAs) play an important regulatory role in tumorigenesis. The aim of the present study was to analyze the circRNA expression network and elucidate its potential implications in colorectal cancer (CRC). The circRNA expression profile was analyzed in CRC tissues by RNA sequencing, and the functions of differentially expressed genes were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The circRNA network was predicted with bioinformatics. On the basis of the results, we identified 23 differentially expressed circRNAs in CRC; GO and KEGG analyses demonstrated that the changes in circRNAs were mainly associated with regulation of biological and metabolic processes through binding to other molecules. In addition, based on the predicted coexpression network, we identified a hub circRNA, hsa_circ_0009022. Subsequently, the results of sequencing were confirmed by reverse transcription-quantitative polymerase chain reaction, and hsa_circ_0000826 was found to be downregulated in CRC. Taken together, these findings indicate a set of differentially expressed circRNAs that may serve as a candidate diagnostic biomarker and a promising therapeutic target in CRC.

Identifiants

pubmed: 30320923
doi: 10.1002/jcb.27928
doi:

Substances chimiques

Biomarkers, Tumor 0
MicroRNAs 0
RNA, Circular 0
RNA, Messenger 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6409-6419

Informations de copyright

© 2018 Wiley Periodicals, Inc.

Auteurs

Zheying Zhang (Z)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Na Song (N)

Department of Molecular Biology and Biochemistry, Xinxiang Medical University, Xinxiang, China.

Yongxia Wang (Y)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Jiateng Zhong (J)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Tengteng Gu (T)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Liping Yang (L)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Xianfeng Shen (X)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Yuelin Li (Y)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Xin Yang (X)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Xiangyu Liu (X)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

Rui Yang (R)

Department of Synthetic Biology Remaking Engineering and Application Laboratory, School of Life sciences and Technology, Xinxiang Medical University, Xinxiang, China.

Haijun Wang (H)

Department of Pathology, Xinxiang Medical University, Xinxiang, China.

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Classifications MeSH