Molecular analysis of renal cell carcinoma with unclassfied histology [gene expression]
Transcriptomics Dataset
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General Information
AccessionGSE85897
TitleMolecular analysis of renal cell carcinoma with unclassfied histology [gene expression]
DescriptionRenal cell carcinomas with unclassified histology (uRCC) constitute a significant portion of aggressive non-clear cell RCC (nccRCC) that have no standard therapy. The oncogenic drivers in these tumors are unknown. We performed a molecular analysis of 62 high-grade primary uRCC, incorporating targeted cancer gene sequencing, RNA sequencing, Single Nucleotide Polymorphism array, fluorescence in-situ hybridization, immunohistochemistry, and cell-based assays. We identified recurrent somatic mutations in 29 genes, including NF2 (18%%), SETD2 (18%%), BAP1 (13%%), KMT2C (10%%), and MTOR (8%%). Integrated analysis revealed distinct molecular subsets, including a subset of 26%% uRCC characterized by NF2-loss, dysregulated Hippo-YAP pathway and worse survival.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE85897
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Dataset Accession
Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE85897
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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