Dataset Information

Genomics and clinical correlates of renal cell carcinoma.

ABSTRACT: PURPOSE:Clear cell, papillary cell, and chromophobe renal cell carcinomas (RCCs) have now been well characterised thanks to large collaborative projects such as The Cancer Genome Atlas (TCGA). Not only has knowledge of the genomic landscape helped inform the development of new drugs, it also promises to fine tune prognostication. METHODS:A literature review was performed summarising the current knowledge on the genetic basis of RCC. RESULTS:The Von Hippel-Lindau (VHL) tumour suppressor gene undergoes bi-allelic knockout in the vast majority of clear cell RCCs. The next most prevalent aberrations include a cohort of chromatin-modifying genes with diverse roles including PBRM1, SETD2, BAP1, and KMD5C. The most common non-clear cell renal cancers have also undergone genomic profiling and are characterised by distinct genomic landscapes. Many recurrent mutations have prognostic value and show promise in aiding decisions regarding treatment stratification. Intra-tumour heterogeneity appears to hamper the clinical applicability of sparsely sampled tumours. Ways to abrogate heterogeneity will be required to optimise the genomic classification of tumours. CONCLUSION:The somatic mutational landscape of the more common renal cancers is well known. Correlation with outcome needs to be more comprehensively furnished, particularly for small renal masses, rarer non-clear cell renal cancers, and for all tumours undergoing targeted therapy.

SUBMITTER: Mitchell TJ

PROVIDER: S-EPMC6280817 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genomics and clinical correlates of renal cell carcinoma.

Mitchell Thomas J TJ Rossi Sabrina H SH Klatte Tobias T Stewart Grant D GD

World journal of urology 20180811 12

<h4>Purpose</h4>Clear cell, papillary cell, and chromophobe renal cell carcinomas (RCCs) have now been well characterised thanks to large collaborative projects such as The Cancer Genome Atlas (TCGA). Not only has knowledge of the genomic landscape helped inform the development of new drugs, it also promises to fine tune prognostication.<h4>Methods</h4>A literature review was performed summarising the current knowledge on the genetic basis of RCC.<h4>Results</h4>The Von Hippel-Lindau (VHL) tumou ...[more]

PMID: 30099580

Similar Datasets

Project description:BackgroundDisabled homolog 2-interacting protein is a new member of the Ras GTPase superfamily involved in the regulation of cell proliferation, apoptosis, and metastasis. However, the expression of disabled homolog 2-interacting protein in renal cell carcinoma, its correlation with cancer prognosis, and tumor infiltrating lymphocytes remains unclear.MethodsThe expression of disabled homolog 2-interacting protein was analyzed by UALCAN database, GEPIA database and the evaluation of disabled homolog 2-interacting protein effects on clinical prognosis. Prognostic factor analysis was used to identify the correlations between disabled homolog 2-interacting protein and cancer immune infiltration via the TIMER database. In addition, COXPRESdb database was used to analyze the enrichment of disabled homolog 2-interacting protein co-expression genes.ResultsCompared to the normal tissues, the messenger RNA expression levels of DAB2IP are higher in 8 while lower in 15 types of tumor tissues. Furthermore, disabled homolog 2-interacting protein has high expression in kidney chromophobe and low expression in both kidney renal clear cell carcinoma and kidney renal papillary cell carcinoma. The messenger RNA expression levels of disabled homolog 2-interacting protein decrease gradually due to the increasing tumor staging which positively correlates with disease-free survival and overall survival in both kidney renal clear cell carcinoma and kidney renal papillary cell carcinoma. The expression levels of disabled homolog 2-interacting protein also positively correlate with the tumor purity of kidney chromophobe, kidney renal clear cell carcinoma, and kidney renal papillary cell carcinoma samples. Besides, the expression of disabled homolog 2-interacting protein in renal cell carcinoma has negative correlation with the immune infiltration, and the immune infiltration of B cells and CD8+ T cells affects the prognosis of kidney renal papillary cell carcinoma. Enrichment analysis of disabled homolog 2-interacting protein co-expressed genes suggested that its biological role was mainly in regulating GTPase activity.ConclusionsThese findings suggest that disabled homolog 2-interacting protein functions as a tumor suppressor in the progression of renal cell carcinoma, and the expression of disabled homolog 2-interacting protein is related to the immune infiltrating cells and affects the survival of renal cell carcinoma. Disabled homolog 2-interacting protein can be a novel clinical biomarker for patients with renal cell carcinoma, which also provides new insights for the future treatments of renal cell carcinoma.

Project description:Background: Petite Integration Factor 1 (PIF1) is a multifunctional helicase and DNA processing enzyme that plays an important role in the process of several cancer types. However, the relationship between clear cell renal cell carcinoma (ccRCC) and PIF1 remains unclear. This study aims to explore the role of PIF1 in ccRCC tumorigenesis and prognosis. Methods: Based on The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, we retrieved and verified the expression of PIF1 in ccRCC tissues as well as normal tissues. To assess the protein expression of PIF1 by using the Human Protein Atlas and the Clinical Proteomic Tumor Analysis Consortium (CPTAC). We also performed receiver operating characteristic (ROC) curve analysis to differentiate the effectiveness of PIF1 in ccRCC and adjacent normal tissues. To evaluate the value of PIF1 on clinical outcomes in ccRCC patients by using multivariate methods and Kaplan‒Meier survival curves. Protein‒protein interaction (PPI) networks were made with STRING. We determined the relationship between the expression of PIF1 and immune cell infiltration with single-sample gene set enrichment analysis (ssGSEA). Results: Compared with normal tissues, the expression of PIF1 was significantly elevated in ccRCC. The mRNA expression of PIF1 is correlated with high TNM stage and high pathologic stage. The receiver operating characteristic (ROC) curve analysis showed that PIF1 was related to an area under the curve (AUC) value of 0.928 to distinguish between ccRCC tissues and normal tissues. Kaplan‒Meier survival analysis showed that the overall survival (OS) of ccRCC patients with a high level of PIF1 was significantly shorter than that of those with a low level of PIF1. PIF1 may play an important role in the occurrence of tumors. Correlation analysis showed that PIF1-mediated carcinogenesis may participate in the process of tumor immune escape in ccRCC. Conclusion: PIF1 could be a reference biomarker to identify ccRCC patients with poor prognosis. PIF1 may play a distinct role in the microenvironment of ccRCC by regulating tumor infiltration of immune cells, which is a new therapeutic target to affect the growth of the tumor.

Project description:CD73-adenosine signaling in the tumor microenvironment is immunosuppressive and may be associated with aggressive renal cell carcinoma (RCC). We investigated the prognostic significance of CD73 protein expression in RCC leveraging nephrectomy samples. We also performed a complementary analysis using The Cancer Genome Atlas (TCGA) dataset to evaluate the correlation of CD73 (ecto-5'-nucleotidase (NT5E), CD39 (ectonucleoside triphosphate diphosphohydrolase 1 (ENTPD1)) and A2 adenosine receptor (A2AR; ADORA2A) transcript levels with markers of angiogenesis and antitumor immune response. Patients with RCC with available archived nephrectomy samples were eligible for inclusion. Tumor CD73 protein expression was assessed by immunohistochemistry and quantified using a combined score (CS: % positive cells×intensity). Samples were categorized as CD73negative (CS=0), CD73low or CD73high (< and ≥median CS, respectively). Multivariable Cox regression analysis compared disease-free survival (DFS) and overall survival (OS) between CD73 expression groups. In the TCGA dataset, samples were categorized as low, intermediate and high NT5E, ENTPD1 and ADORA2A gene expression groups. Gene expression signatures for infiltrating immune cells, angiogenesis, myeloid inflammation, and effector T-cell response were compared between NT5E, ENTPD1 and ADORA2A expression groups. Among the 138 patients eligible for inclusion, 'any' CD73 expression was observed in 30% of primary tumor samples. High CD73 expression was more frequent in patients with M1 RCC (29% vs 12% M0), grade 4 tumors (27% vs 13% grade 3 vs 15% grades 1 and 2), advanced T-stage (≥T3: 22% vs T2: 19% vs T1: 12%) and tumors with sarcomatoid histology (50% vs 12%). In the M0 cohort (n=107), patients with CD73high tumor expression had significantly worse 5-year DFS (42%) and 10-year OS (22%) compared with those in the CD73negative group (DFS: 75%, adjusted HR: 2.7, 95% CI 1.3 to 5.9, p=0.01; OS: 64%, adjusted HR: 2.6, 95% CI 1.2 to 5.8, p=0.02) independent of tumor stage and grade. In the TCGA analysis, high NT5E expression was associated with significantly worse 5-year OS (p=0.008). NT5E and ENTPD1 expression correlated with higher regulatory T cell (Treg) signature, while ADORA2A expression was associated with increased Treg and angiogenesis signatures. High CD73 expression portends significantly worse survival outcomes independent of stage and grade. Our findings provide compelling support for targeting the immunosuppressive and proangiogenic CD73-adenosine pathway in RCC.

Dataset Information

Genomics and clinical correlates of renal cell carcinoma.

Publications

Genomics and clinical correlates of renal cell carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets