scholarly journals Circular RNA microarray expression profile and potential function of circ0005875 in clear cell renal cell carcinoma

2020 ◽  
Vol 11 (24) ◽  
pp. 7146-7156
Author(s):  
Qi Lv ◽  
Chunhui Ma ◽  
Haoming Li ◽  
Xuefeng Tan ◽  
Gangmin Wang ◽  
...  
2020 ◽  
Vol 19 ◽  
pp. e1961
Author(s):  
F.L. Roldan Chavez ◽  
M. Ingelmo-Torres ◽  
J.J. Lozano ◽  
M. Ramirez-Backhaus ◽  
J. Rubio ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ping Gao ◽  
Yong Huang ◽  
Yanmei Hou ◽  
Qian Li ◽  
Haimei Wang

High metastasis of clear cell renal cell carcinoma (ccRCC) significantly influenced survival rate of ccRCC patients. Here, we intended to investigate the impacts of circular RNA ITCH (circ-ITCH) on the metastasis of ccRCC. The expression of circ-ITCH in ccRCC tissues and cells was evaluated utilizing qRT-PCR. Transwell assay and wound healing were applied to investigate migration and invasion of ccRCC cells. Target gene prediction and screening and luciferase reporter gene assays were utilized to assess downstream target genes of circ-ITCH. Western blot was utilized to detect metastasis-related protein expression. A xenograft tumor model was established to evaluate the role of circ-ITCH in vivo. Results showed that circ-ITCH was low expressed in ccRCC tissues and cells. Downregulation circ-ITCH promoted cell migration, but overexpressing circ-ITCH inhibited cell migration and invasion in OSRC-2 and SW839 cells. Mechanism investigations claimed that circ-ITCH exerted its metastasis-inhibitory activity via sponging miR-106b-5p and regulating the expression of PDCD4. Conclusively, circ-ITCH suppresses ccRCC metastasis by enforcing PDCD4 expression through binding miR-106b-5p. circ-ITCH may function as a novel diagnostic target to suppress ccRCC metastasis.


2017 ◽  
Vol 28 ◽  
pp. v318
Author(s):  
O. Reig Torras ◽  
M. Marín-Aguilera ◽  
N. Jimenez ◽  
L. Paré ◽  
P. Galvan ◽  
...  

Gene ◽  
2020 ◽  
Vol 739 ◽  
pp. 144498 ◽  
Author(s):  
Aman Kumar ◽  
Niti Kumari ◽  
Nayudu Nallabelli ◽  
Ujjawal Sharma ◽  
Ashutosh Rai ◽  
...  

2011 ◽  
Vol 30 (4) ◽  
pp. 559-565 ◽  
Author(s):  
Turang E. Behbahani ◽  
Claudia Thierse ◽  
Claudia Baumann ◽  
Daniel Holl ◽  
Patrick J. Bastian ◽  
...  

2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Dingwei Xue ◽  
Huan Wang ◽  
Yuanlei Chen ◽  
Danyang Shen ◽  
Jieyang Lu ◽  
...  

Abstract Background Circular RNA (circRNA) is a type of circular endogenous RNA produced by special selective splicing and participates in progression of diverse diseases. However, the role of circRNA in clear cell renal cell carcinoma (ccRCC) is still rarely reported. Methods We detected lower circ-AKT3 expression in ccRCC using the circular RNA microarray. Then, qPCR array was applied to verify the expression of circ-AKT3 in between 60 ccRCC tissues and adjacent normal tissues, as well as ccRCC cell lines and human normal kidney cell (HK-2). We investigated the function of circ-AKT3 in ccRCC in vitro and in vivo and detected underlying mechanisms by Western blotting, bioinformatic analysis, RNA pull-down assay and luciferase reporter assay. Results Circ-AKT3 was verified significantly downregulated in ccRCC. Knockdown of circ-AKT3 promoted ccRCC migration and invasion, while overexpression of circ-AKT3 suppressed ccRCC metastasis. Further, circ-AKT3/miR-296-3p/E-cadherin axis was shown responsible for circ-AKT3 inhibiting ccRCC metastasis. Conclusion Circ-AKT3 suppresses ccRCC metastasis by enforcing E-cadherin expression through competitively binding miR-296-3p. Circ-AKT3 may therefore serve as a novel therapeutic to better suppress ccRCC metastasis.


2021 ◽  
Vol 10 ◽  
Author(s):  
Tianyu Yang ◽  
Xiaofen Miao ◽  
Zhanxiang Bai ◽  
Jian Tu ◽  
Shanshan Shen ◽  
...  

BackgroundClear cell renal cell carcinoma (ccRCC) is a urinary disease with high incidence. The high incidence of metastasis is the leading cause of death in patients with ccRCC. This study was aimed to identify the gene signatures during the metastasis of ccRCC.MethodsTwo datasets, including one gene expression profile dataset and one microRNA (miRNA) expression profile dataset, were downloaded from Gene Expression Omnibus (GEO) database. The integrated bioinformatics analysis was performed using the (limma) R package, miRWalk, DAVID, STRING, Kaplan-Meier plotter databases. Quantitative real-time polymerase chain reaction (qPCR) was conducted to validate the expression of differentially expressed genes (DEGs) and DE-miRNAs.ResultsIn total, 84 DEGs (68 up-regulated and 16 down-regulated) and 41 DE-miRNAs (24 up-regulated and 17 down-regulated) were screened from GSE22541 and GSE37989 datasets, respectively. Furthermore, 11 hub genes and 3 key miRNAs were identified from the PPI network, including FBLN1, THBS2, SCGB1A1, NKX2-1, COL11A1, DCN, LUM, COL1A1, COL6A3, SFTPC, SFTPB, miR-328, miR-502, and miR-504. The qPCR data showed that most of the selected genes and miRNAs were consistent with that in our integrated analysis. A novel mRNA-miRNA network, SFTPB-miR-328-miR-502-miR-504-NKX2-1 was found in metastatic ccRCC after the combination of data from expression, survival analysis, and experiment validation.ConclusionIn conclusion, key candidate genes and miRNAs were identified and a novel mRNA-miRNA network was constructed in ccRCC metastasis using integrated bioinformatics analysis and qPCR validation, which might be utilized as diagnostic biomarkers and molecular targets of metastatic ccRCC.


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