scholarly journals Molecular Profiling of Druggable Targets in Clear Cell Renal Cell Carcinoma Through Targeted RNA Sequencing

2019 ◽  
Vol 9 ◽  
Author(s):  
Corina N. A. M. van den Heuvel ◽  
Anne van Ewijk ◽  
Carolien Zeelen ◽  
Tessa de Bitter ◽  
Martijn Huynen ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Rna Sequencing ◽  
Renal Cell ◽  
Clear Cell ◽  
Molecular Profiling ◽  
Cell Renal Cell Carcinoma ◽  
Druggable Targets

A prognostic nomogram based on competing endogenous RNA network for clear-cell renal cell carcinoma

2020 ◽  
Author(s):  
Yun Peng ◽  
Shangrong Wu ◽  
Zihan Xu ◽  
Dingkun Hou ◽  
Nan Li ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Rna Sequencing ◽  
Renal Cell ◽  
Cox Regression ◽  
Clear Cell ◽  
Gene Signature ◽  
Expression Data ◽  
Competing Endogenous Rna ◽  
Cell Renal Cell Carcinoma

Abstract Backgroud Clear-cell renal cell carcinoma (ccRCC) is stubborn to traditional chemotherapy and radiation treatment, which makes its clinical management a major challenge. Recently, we have made efforts to understand the etiology of ccRCC. Increasing evidence revealed that the competing endogenous RNA (ceRNA) were involved in the development of various tumor. However, it’s scant for studying on ccRCC, and a comprehensive analysis of prognostic model based on lncRNA-miRNA-mRNA ceRNA regulatory network of ccRCC with large-scale sample size and RNA‐sequencing expression data is still limited. Methods RNA‐sequencing expression data were taken out from GTEx database and TCGA database, A total of 354 samples with ccRCC and 157 normal controlled samples were included in our study. The ccRCC-specific genes were obtained from WGCNA and differential expression analysis. Following, the communication between mRNAs and lncRNAs and target miRNAs were predicted by MiRcode, starBase, miRTarBase, and TargetScan. A gene signature of eight genes was constructed by univariate Cox regression, lasso methods and multivariate Cox regression analysis. Results A total of 2191 mRNAs and 1377 lncRNAs was identified, and a dys-regulated ceRNA network for ccRCC was established using 7 mRNAs, 363 lncRNAs, and 3 miRNAs. Further, a gene signature in cluding 8 genes based on this ceRNA was constructed, meanwhile, a nomogram predicting 1-, 3-, 5-year survival probability containing both clinical characteristics and ccRCC-specific gene signatures was developed. Conclusion It could contribute to a better understanding of ccRCC tumorigenesis mechanism and guide clinicians to make a more accurate treatment decision.

Development and confirmation of potential gene classifiers of human clear cell renal cell carcinoma using next-generation RNA sequencing

2016 ◽  
Vol 50 (6) ◽  
pp. 452-462 ◽  
Author(s):  
Oystein S. Eikrem ◽  
Philipp Strauss ◽  
Christian Beisland ◽  
Andreas Scherer ◽  
Lea Landolt ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Rna Sequencing ◽  
Renal Cell ◽  
Clear Cell ◽  
Next Generation ◽  
Cell Renal Cell Carcinoma

scholarly journals Identification of Hub Genes Associated With Clear Cell Renal Cell Carcinoma by Integrated Bioinformatics Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Hao Huang ◽  
Ling Zhu ◽  
Chao Huang ◽  
Yi Dong ◽  
Liangliang Fan ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Rna Sequencing ◽  
Renal Cell ◽  
Clear Cell ◽  
Single Gene ◽  
Gene Set Enrichment Analysis ◽  
Cancer Type ◽  
Hub Genes ◽  
Cell Renal Cell Carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is a common genitourinary cancer type with a high mortality rate. Due to a diverse range of biochemical alterations and a high level of tumor heterogeneity, it is crucial to select highly validated prognostic biomarkers to be able to identify subtypes of ccRCC early and apply precision medicine approaches.MethodsTranscriptome data of ccRCC and clinical traits of patients were obtained from the GSE126964 dataset of Gene Expression Omnibus and The Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma (TCGA-KIRC) database. Weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) screening were applied to detect common differentially co-expressed genes. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes analysis, survival analysis, prognostic model establishment, and gene set enrichment analysis were also performed. Immunohistochemical analysis results of the expression levels of prognostic genes were obtained from The Human Protein Atlas. Single-gene RNA sequencing data were obtained from the GSE131685 and GSE171306 datasets.ResultsIn the present study, a total of 2,492 DEGs identified between ccRCC and healthy controls were filtered, revealing 1,300 upregulated genes and 1,192 downregulated genes. Using WGCNA, the turquoise module was identified to be closely associated with ccRCC. Hub genes were identified using the maximal clique centrality algorithm. After having intersected the hub genes and the DEGs in GSE126964 and TCGA-KIRC dataset, and after performing univariate, least absolute shrinkage and selection operator, and multivariate Cox regression analyses, ALDOB, EFHD1, and ESRRG were identified as significant prognostic factors in patients diagnosed with ccRCC. Single-gene RNA sequencing analysis revealed the expression profile of ALDOB, EFHD1, and ESRRG in different cell types of ccRCC.ConclusionsThe present results demonstrated that ALDOB, EFHD1, and ESRRG may act as potential targets for medical therapy and could serve as diagnostic biomarkers for ccRCC.

638: Macroscopic Tumor Necrosis is a Prognostic Indicator for Non-Metastatic Clear Cell Renal Cell Carcinoma

2007 ◽  
Vol 177 (4S) ◽  
pp. 214-214
Author(s):  
Sung Kyu Hong ◽  
Byung Kyu Han ◽  
In Ho Chang ◽  
June Hyun Han ◽  
Ji Hyung Yu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Tumor Necrosis ◽  
Clear Cell ◽  
Prognostic Indicator ◽  
Cell Renal Cell Carcinoma ◽  
Macroscopic Tumor

Rare localization of renal cell carcinoma metastases in the paranasal sinuses and breast: a case report

2019 ◽  
Vol 22 (6) ◽  
pp. 13-22
Author(s):  
E. V. Kryaneva ◽  
N. A. Rubtsova ◽  
A. V. Levshakova ◽  
A. I. Khalimon ◽  
A. V. Leontyev ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Paranasal Sinuses ◽  
Renal Cell ◽  
Clinical Case ◽  
Clear Cell ◽  
Malignant Tumors ◽  
Metastatic Potential ◽  
Cell Renal Cell Carcinoma ◽  
Metastatic Lesions

This article presents a clinical case demonsratinga high metastatic potential of clear cell renal cell carcinoma combined with atypical metastases to breast and paranasal sinuses. The prevalence of metastatic lesions to the breast and paranasal sinuses in various malignant tumors depending on their morphological forms is analyzed. The authors present an analysis of data published for the last 30 years. The optimal diagnostic algorithms to detect the progression of renal cell carcinoma and to evaluate the effectiveness of the treatment are considered.

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