scholarly journals A novel correlation between ATP5A1 gene expression and progression of human clear cell renal cell carcinoma identified by co‑expression analysis

2017 ◽  
Author(s):  
Lushun Yuan ◽  
Liang Chen ◽  
Kaiyu Qian ◽  
Gang Wang ◽  
Mengxin Lu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Expression Analysis ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma

scholarly journals A 17-Gene Expression Signature for Early Identification of Poor Prognosis in Clear Cell Renal Cell Carcinoma

Cancers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 178
Author(s):  
Maria Bassanelli ◽  
Marina Borro ◽  
Michela Roberto ◽  
Diana Giannarelli ◽  
Silvana Giacinti ◽  
...  
Keyword(s):  
Gene Expression ◽  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Cell Carcinoma ◽  
Expression Analysis ◽  
Renal Cell ◽  
Clear Cell ◽  
Gene Expression Signature ◽  
Genomic Signature ◽  
Cell Renal Cell Carcinoma

The Identification of reliable Biomarkers able to predict the outcome after nephrectomy of patients with clear cell renal cell carcinoma (ccRCC) is an unmet need. The gene expression analysis in tumor tissues represents a promising tool for better stratification of ccRCC subtypes and patients’ evaluation. Methods: In our study we retrospectively analyzed using Next-Generation expression analysis (NanoString), the expression of a gene panel in tumor tissue from 46 consecutive patients treated with nephrectomy for non-metastatic ccRCC at two Italian Oncological Centres. Significant differences in expression levels of selected genes was sought. Additionally, we performed a univariate and a multivariate analysis on overall survival according to Cox regression model. Results: A 17-gene expression signature of patients with a recurrence-free survival (RFS) < 1 year (unfavorable genomic signature (UGS)) and of patients with a RFS > 5 years (favorable genomic signature (FGS)) was identified and resulted in being significantly correlated with overall survival of the patients included in this analysis (HR 51.37, p < 0.0001). Conclusions: The identified Genomic Signatures may serve as potential biomarkers for prognosis prediction of non-metastatic RCC and could drive both follow-up and treatment personalization in RCC management.

The expression analysis of NGAL and NGALR in clear cell renal cell carcinoma

Gene ◽  
2018 ◽  
Vol 676 ◽  
pp. 269-278 ◽  
Author(s):  
Feng Liu ◽  
Na Li ◽  
Wei Yang ◽  
Ruifang Wang ◽  
Jing Yu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Expression Analysis ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma

scholarly journals Patterns of gene expression characterize T1 and T3 clear cell renal cell carcinoma subtypes

PLoS ONE ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. e0216793 ◽  
Author(s):  
Agnieszka M. Borys ◽  
Michał Seweryn ◽  
Tomasz Gołąbek ◽  
Łukasz Bełch ◽  
Agnieszka Klimkowska ◽  
...  
Keyword(s):  
Gene Expression ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma

scholarly journals Personalised drug repositioning for Clear Cell Renal Cell Carcinoma using gene expression

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
Keyword(s):  
Gene Expression ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Drug Repositioning ◽  
Cell Renal Cell Carcinoma
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