Long Non-coding RNAs Expression in Renal Cell Carcinoma

2017 ◽  
Vol 6 (12) ◽  
Author(s):  
M. Taheri ◽  
M. Omrani ◽  
S. Ghafouri-Fard
Author(s):  
Dominik A. Barth ◽  
Rares Drula ◽  
Leonie Ott ◽  
Linda Fabris ◽  
Ondrej Slaby ◽  
...  

Medicine ◽  
2019 ◽  
Vol 98 (40) ◽  
pp. e17276 ◽  
Author(s):  
Yan Wang ◽  
Zhan Li ◽  
Wei Li ◽  
Le Zhou ◽  
Yuehua Jiang

2015 ◽  
Vol 14 (2) ◽  
pp. e863 ◽  
Author(s):  
J. Ellinger ◽  
J.J.C. Blondeau ◽  
M. Deng ◽  
I. Syring ◽  
S. Schrödter ◽  
...  

2020 ◽  
Author(s):  
Guanlin Wu ◽  
Pengfei Xia ◽  
Shixian Yan ◽  
Dongming Chen ◽  
Lei Xie ◽  
...  

Aim: To investigate whether long non-coding RNAs (lncRNAs) can be utilized as molecular biomarkers in predicting the occurrence and progression of chromophobe renal cell carcinoma. Methods & results: Genetic and related clinical traits of chromophobe renal cell carcinoma were downloaded from the Cancer Genome Atlas and used to construct modules using weighted gene coexpression network analysis. In total, 44,889 genes were allocated into 21 coexpression modules depending on intergenic correlation. Among them, the green module was the most significant key module identified by module–trait correlation calculations ( R 2 = 0.43 and p = 4e-04). Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses demonstrated that genes in the green module were enriched in many pathways. Coexpression, protein–protein interaction networks, screening for differentially expressed genes, and survival analysis were used to select hub lncRNAs. Five hub lncRNAs ( TTK, CENPE, KIF2C, BUB1, and RAD51AP1) were selected out. Conclusion: Our findings suggest that the five lncRNAs may act as potential biomarkers for chromophobe renal cell carcinoma progression and prognosis.


2016 ◽  
Vol 17 (4) ◽  
pp. 573 ◽  
Author(s):  
Maximilian Seles ◽  
Georg Hutterer ◽  
Tobias Kiesslich ◽  
Karl Pummer ◽  
Ioana Berindan-Neagoe ◽  
...  

2019 ◽  
Author(s):  
Feilong Yang ◽  
Yimeng Song ◽  
Liyuan Ge ◽  
Guojiang Zhao ◽  
Cheng Liu ◽  
...  

2020 ◽  
Vol 10 ◽  
Author(s):  
Bing Zhang ◽  
Wei Chu ◽  
Feifei Wen ◽  
Li Zhang ◽  
Lixia Sun ◽  
...  

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.


Oncotarget ◽  
2017 ◽  
Vol 8 (29) ◽  
pp. 48424-48435 ◽  
Author(s):  
Ming Li ◽  
Ying Wang ◽  
Liang Cheng ◽  
Wanting Niu ◽  
Guoan Zhao ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document