GAPDH, YWHAZ, and RRN18S as control reference genes for gene expression studies on renal cell carcinoma (RCC) formaldehyde-fixed paraffin-embedded (FFPE) tissue samples.

2011 ◽  
Vol 29 (7_suppl) ◽  
pp. 389-389
Author(s):  
V. Medina Villaamil ◽  
S. Vazquez-Estevez ◽  
B. Campos ◽  
L. Leon Mateos ◽  
J. L. Fírvida ◽  
...  

389 Background: It is mandatory to have a control reference gen (RG) to correctly measure gene expression by real-time quantitative PCR (qPCR). The purpose of this study was to test a panel of 12 RGs (Human Endogenous Control Gene Panel, tataabiocenter) in order to select and validate the most appropriate control genes for expression studies on FFPE RCC tissues. Methods: qPCR followed by Normfinder and geNorm-based analysis was employed (GenEx Standard). The study was performed on 9 selected RCC tumor samples with different local stage (T1, T2 and T3). The most representative RCC histologies were also collected; clear-cell renal cell carcinoma (ccRCC), papillary renal cell carcinoma (pRCC) and cromophobe renal cell carcinoma (cRCC). A commercial pool (Biochain) of 5 cases of normal kidney was analyzed too. All samples were measured in triplicate. Expression levels of RGs: GAPDH, TUBB, PPIA, ACTB, YWHAZ, RRN18S, B2M, UBC, TBP, RPLP, GUSB and HPRT1 were measured by qPCR on a Light Cycler 480 (Roche) utilizing Light Cycler 480 SYBR Green I Master (Roche). Results: The analysis of experimental data showed that RRN18S is the most stable gene found in our FFEP RCC samples followed by GUSB and TBP. In contrast, ACTB was found to be the least stable gene between our samples. GAPDH together with YWHAZ was showed as the pair of genes introducing the least systematic error into data normalization (M-value < 1) needed to conduct expression gene studies further. Conclusions: These data suggest that GAPDH, YWHAZ and RRN18S are the most suitable RGs for gene expression profile studies in FFEP RCC. Standardization of RGs will help us to compare results from translational studies on RCC FFPE samples genes profiling. No significant financial relationships to disclose.

2021 ◽  
Author(s):  
Sofia Canete-Portillo ◽  
Maria del Carmen Rodriguez Pena ◽  
Dezhi Wang ◽  
Diego F. Sanchez ◽  
George J. Netto ◽  
...  

2003 ◽  
Vol 127 (2) ◽  
pp. e89-e92
Author(s):  
Nathalie C. Rioux-Leclercq ◽  
Jonathan I. Epstein

Abstract We describe 2 cases of renal cell carcinoma arising in acquired cystic disease of the kidney (ACDK) in patients with end-stage renal disease undergoing hemodialysis for more than 5 years and provide a brief review of the complications of ACDK. In both cases, abundant calcium oxalate crystals were observed within the tumors. Histologically, one of the tumors was a conventional (clear cell) renal cell carcinoma. The other tumor was a bilateral papillary renal cell carcinoma. Both tumors were high-grade carcinomas with extensive oncocytic (acidophilic) features. Also noted within the kidneys were cysts with atypical papillary hyperplasia. The clinicopathologic findings along with review of the literature suggest a relationship between tumor growth and calcium oxalate crystal deposition in patients undergoing hemodialysis with ACDK.


PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0216793 ◽  
Author(s):  
Agnieszka M. Borys ◽  
Michał Seweryn ◽  
Tomasz Gołąbek ◽  
Łukasz Bełch ◽  
Agnieszka Klimkowska ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Karel K. M. Koudijs ◽  
Anton G. T. Terwisscha van Scheltinga ◽  
Stefan Böhringer ◽  
Kirsten J. M. Schimmel ◽  
Henk-Jan Guchelaar

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Maolin Hu ◽  
Jiangling Xie ◽  
Huiming Hou ◽  
Ming Liu ◽  
Jianye Wang

Background. Few previous studies have comprehensively explored the level of DNA methylation and gene expression in ccRCC. The purpose of this study was to identify the key clear cell renal cell carcinoma- (ccRCC-) related DNA methylation-driven genes (MDG) and to build a prognostic model based on the level of DNA methylation. Methods. RNA-seq transcriptome data and DNA methylation data were obtained from The Cancer Genome Atlas. Based on the MethylMix algorithm, we obtain ccRCC-related MDG. The univariate and multivariate Cox regression analyses were employed to investigate the correlation between patient overall survival and the methylation level of each MDG. Finally, a prognosis risk score was established based on a linear combination of the regression coefficient derived from the multivariate Cox regression model (β) multiplied with the methylation level of the gene. Results. 19 ccRCC-related MDG were identified. Three MDG (NCKAP1L, EVI2A, and BATF) were further screened and integrated into a prognostic risk score model, risk score=3.710∗methylation level of NCKAP1L+−3.892∗methylation level of EVI2A+−3.907∗methylation level of BATF. The risk model was independent from conventional clinical characteristics as a prognostic factor for ccRCC (HR=1.221, 95% confidence interval: 1.063–1.402, and P=0.005). The joint survival analysis showed that the gene expression and methylation levels of the prognostic genes EVI2A and BATF were significantly related with prognosis. Conclusion. This study provided an important bioinformatics foundation for in-depth studies of ccRCC DNA methylation.


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