Dysregulation of Long Non-coding RNAs and mRNAs in Plasma of Clear Cell Renal Cell Carcinoma Patients Using Microarray and Bioinformatic Analysis

被引:14
作者
Zhang, Bing [1 ]
Chu, Wei [2 ]
Wen, Feifei [2 ]
Zhang, Li [3 ]
Sun, Lixia [2 ]
Hu, Baoguang [4 ]
Wang, Jingjing [2 ]
Su, Qingguo [1 ]
Mei, Yanhui [1 ]
Cao, Jingyuan [1 ]
Zheng, Jing [5 ]
Mou, Xiaodong [2 ]
Dong, Hongliang [5 ]
Lin, Xiaoyan [6 ]
Wang, Nan [5 ]
Ji, Hong [2 ]
机构
[1] Binzhou Med Univ, Binzhou Med Univ Hosp, Dept Urol, Binzhou, Peoples R China
[2] Binzhou Med Univ, Binzhou Med Univ Hosp, Dept Pathol, Binzhou, Peoples R China
[3] Binzhou Med Univ, Binzhou Med Univ Hosp, Dept Anesthesiol, Binzhou, Peoples R China
[4] Binzhou Med Univ, Binzhou Med Univ Hosp, Dept Gastrointestinal Surg, Binzhou, Peoples R China
[5] Binzhou Med Univ, Binzhou Med Univ Hosp, Clin Med Lab, Binzhou, Peoples R China
[6] Shandong Prov Hosp, Dept Pathol, Jinan, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2020年 / 10卷
基金
中国国家自然科学基金;
关键词
clear cell renal cell carcinoma; bioinformatics; long non-coding RNA; mRNA; microarray; differentially expressed gene; GENE-EXPRESSION; CANCER; LNCRNA; METASTASIS; IDENTIFICATION; PROGNOSIS; BIOMARKER;
D O I
10.3389/fonc.2020.559730
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: The roles of long non-coding RNAs (lncRNAs) in the diagnosis of clear cell renal cell carcinoma (ccRCC) are still not well-defined. We aimed to identify differentially expressed lncRNAs and mRNAs in plasma of ccRCC patients and health controls systematically. Methods: Expression profile of plasma lncRNAs and mRNAs in ccRCC patients and healthy controls was analyzed based on microarray assay. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway-based approaches were used to investigate biological function and signaling pathways mediated by the differentially expressed mRNAs. SOCS2-AS1 was selected for validation using Real-Time PCR. The differentially expressed lncRNAs and mRNAs were further compared with E-MTAB-1830 datasets using Venn and the NetworkAnalyst website. The GEPIA and ULCAN websites were utilized for the evaluation of the expression level of differentially expressed mRNA and their association with overall survival (OS). Results: A total of 3,664 differentially expressed lncRNAs were identified in the plasma of ccRCC patients, including 1,511 up-regulated and 2,153 down-regulated lncRNAs (fold change >= 2 and P < 0.05), respectively. There were 2,268 differentially expressed mRNAs, including 932 up-regulated mRNAs and 1,336 down-regulated mRNAs, respectively (fold change >= 2 and P < 0.05). Pathway analysis based on deregulated mRNAs was mainly involved in melanogenesis and Hippo signaling pathway (P < 0.05). In line with the lncRNA microarray findings, the SOCS2-AS1 was down-regulated in ccRCC plasma and tissues, as well as in cell lines. Compared with the E-MTAB-1830 gene expression profiles, we identified 18 lncRNAs and 87 mRNAs differently expressed in both plasma and neoplastic tissues of ccRCC. The expression of 10 mRNAs (EPB41L4B, CCND1, GGT1, CGNL1, CYSLTR1, PLAUR, UGT3A1, PROM2, MUC12, and PCK1) was correlated with the overall survival (OS) rate in ccRCC patients based on the GEPIA and ULCAN websites. Conclusions: We firstly reported differentially expressed lncRNAs in ccRCC patients and healthy controls systemically. Several differentially expressed lncRNAs and mRNAs were identified, which might serve as diagnostic or prognostic markers. The biological function of these lncRNAs and mRNAs should be further validated. Our study may contribute to the future treatment of ccRCC and provide novel insights into cancer biology.
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页数:17
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