scholarly journals Systematic Review: ClearCode 34 – A Validated Prognostic Signature in Clear Cell Renal Cell Carcinoma (ccRCC)

Kidney Cancer ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 23-29 ◽  
Author(s):  
Pooja Ghatalia ◽  
W. Kimryn Rathmell
Keyword(s):  
Systematic Review ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Prognostic Signature ◽  
Cell Renal Cell Carcinoma

Response to systemic therapy in non-clear cell renal cell carcinomas: A systematic review and meta-analysis.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 425-425 ◽  
Author(s):  
Francisco Emilio Vera-Badillo ◽  
Arnoud Templeton ◽  
Alberto Ocana ◽  
Paulo deGouveia ◽  
Priya Aneja ◽  
...  
Keyword(s):  
Systematic Review ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Systemic Therapy ◽  
Renal Cell ◽  
Overall Response Rate ◽  
Response Rate ◽  
Clear Cell ◽  
Meta Analysis ◽  
Cell Renal Cell Carcinoma

425 Background: Clinical data supporting the efficacy of systemic therapy in non-clear cell renal cell carcinoma (non-ccRCC) are limited and based on retrospective analyses, expanded access programs and single arm phase II trials. Therefore the optimal treatment for this subgroup remains uncertain. Methods: A systematic review of electronic databases was conducted to identify publications evaluating the outcomes of patients with non-ccRCC (excluding those with sarcomatoid tumors) treated with different systemic approaches (immunotherapy, chemotherapy, targeted agents, small molecules). The primary endpoint was response rate and secondary endpoints were median progression free (PFS) and overall survival (OS). Where possible, data were pooled in a meta-analysis using the Mantel-Haenszel random-effect modeling. For studies comprising of unselected patients, outcomes of those with non-ccRCC were compared with clear cell renal cell carcinoma (ccRCC). Results: Forty-nine studies comprising 7,799 patients were included: 471 patients were enrolled on studies conducted exclusively in non-ccRCC and 7,328 patients on studies of unselected renal cell carcinoma. Among these, 903 (12%) had non-ccRCC and 6,425 (88%) had ccRCC. For non-ccRCC, overall response rate, median PFS and median OS were 9%, 7.9 and 13.4 months, respectively. By comparison, the overall response rate for ccRCC was 15% (Risk Ratio for response [RR] 0.67, 95% CI 0.52-0.86, p=0.002). This association was independent of type of treatment administered. Among the different novel agents (bevacizumab, lenalidomide, linefanib, sorafenib, sunitinib, pazopanib, everolimus and temsirolimus), sunitinib was significantly less efficacious in non-ccRCC than ccRCC (RR 0.56, 95% CI 0.42-0.72), but there was no significant difference in response rates for sorafenib (RR 0.64, 95% CI 0.31-1.35) or other agents (RR 1.10, 95% CI 0.50-2.44), However, confidence intervals were wide. Results of further analyses will be presented at the meeting. Conclusions: Patients with non-ccRCC have lower response rates than those with ccRCC, but the absolute difference between them is modest. Further study of targeted therapy in non-ccRCC is warranted.

scholarly journals N6-Methyladenosine-Related Long Non-coding RNA Signature Associated With Prognosis and Immunotherapeutic Efficacy of Clear-Cell Renal Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Tianming Ma ◽  
Xiaonan Wang ◽  
Jiawen Wang ◽  
Xiaodong Liu ◽  
Shicong Lai ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Differential Expression ◽  
Renal Cell ◽  
Cox Regression ◽  
Clear Cell ◽  
Gene Set Enrichment Analysis ◽  
Prognostic Signature ◽  
Cell Renal Cell Carcinoma ◽  
Cox Regression Analysis

Increasing evidence suggests that N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) play important roles in cancer progression and immunotherapeutic efficacy in clear-cell renal cell carcinoma (ccRCC). In this study, we conducted a comprehensive ccRCC RNA-seq analysis using The Cancer Genome Atlas data to establish an m6A-related lncRNA prognostic signature (m6A-RLPS) for ccRCC. Forty-four prognostic m6A-related lncRNAs (m6A-RLs) were screened using Pearson correlation analysis (|R| > 0.7, p < 0.001) and univariable Cox regression analysis (p < 0.01). Using consensus clustering, the patients were divided into two clusters with different overall survival (OS) rates and immune status according to the differential expression of the lncRNAs. Gene set enrichment analysis corroborated that the clusters were enriched in immune-related activities. Twelve prognostic m6A-RLs were selected and used to construct the m6A-RLPS through least absolute shrinkage and selection operator Cox regression. We validated the differential expression of the 12 lncRNAs between tumor and non-cancerous samples, and the expression levels of four m6A-RLs were further validated using Gene Expression Omnibus data and Lnc2Cancer 3.0 database. The m6A-RLPS was verified to be an independent and robust predictor of ccRCC prognosis using univariable and multivariable Cox regression analyses. A nomogram based on age, tumor grade, clinical stage, and m6A-RLPS was generated and showed high accuracy and reliability at predicting the OS of patients with ccRCC. The prognostic signature was found to be strongly correlated to tumor-infiltrating immune cells and immune checkpoint expression. In conclusion, we established a novel m6A-RLPS with a favorable prognostic value for patients with ccRCC. The 12 m6A-RLs included in the signature may provide new insights into the tumorigenesis and allow the prediction of the treatment response of ccRCC.

The Role of Pazopanib in Non-Clear Cell Renal Cell Carcinoma: A Systematic Review

2019 ◽  
Vol 17 (6) ◽  
pp. 419-424 ◽  
Author(s):  
Gregory T. Sneed ◽  
Sukdong Lee ◽  
Jamie N. Brown ◽  
Julia M. Hammond
Keyword(s):  
Systematic Review ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Cell Renal Cell Carcinoma

scholarly journals Identification of a Six-Gene Prognostic Signature Characterized by Tumor Microenvironment Immune Profiles in Clear Cell Renal Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Lu Zhang ◽  
Jianlong Li ◽  
Mengzhao Zhang ◽  
Lu Wang ◽  
Tao Yang ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Tumor Microenvironment ◽  
Risk Stratification ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Prognostic Signature ◽  
Characteristic Analysis ◽  
Cell Renal Cell Carcinoma ◽  
Cox Regression Analysis

Clear cell renal cell carcinoma (ccRCC) is widely acknowledged to be extremely sensitive to immunotherapy, emphasizing the tremendous impacts on which the tumor microenvironment (TME) has shown. However, the molecular subgroups characterized by the TME features scarcely serve as the risk stratification guides in clinical practice for survival outcomes and immunotherapy response prediction. This study generated fresh insights into a novel TME-related prognostic signature derived from The Cancer Genome Atlas database using integrated bioinformatics analyses. Subsequently, Kaplan–Meier survival analysis, receiver operating characteristic analysis, and univariate and multivariate Cox regression analysis were performed to evaluate and validate the efficacy and the accuracy of the signature in ccRCC prognosis. Furthermore, we discovered that the risk score presented an increased likelihood of correlation with miscellaneous clinicopathological characteristics, natural killer cell-mediated cytotoxicity, immune cell infiltration levels, and immune checkpoint expression. These findings highlighted the notion that the six-gene signature characterized by the TME features may have implications on the risk stratification for personalized and precise immunotherapeutic management.

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