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Molecular analysis of renal cell carcinoma with unclassfied histology [copy number alterations]

UID: 10703

Author(s): Chen, Yingbei*, Wang, Lu*, Zhao, Jeffrey * MSK affiliated

Core Facilities: Integrated Genomics Operation (IGO)

Description
Summary from the GEO: "Renal 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.
Affymetrix Oncoscan arrays were performed according to the manufacturer's directions on DNA extracted from paraffin embedded formalin fixed tumor tissues from 15 unclassified renal cell carcinomas. Genome-wide DNA copy number alterations and allelic imbalances were analyzed."
Subject of Study
Subject(s)
OncoTree Cancer Type(s)
Renal Cell Carcinoma
Access via GEO

Raw, CEL, and OSCHP sequencing data.
Accession #: GSE85970

Access via BioProject

Additional information about overall initiative.
Accession #: PRJNA339860

Access Restrictions
Free to All
Access Instructions
The NCBI Gene Expression Omnibus, SRA, and BioProject databases provide open access to these files.
Associated Publications
Data Type
Equipment Used
Dataset Format(s)
TAR, CEL, RAW, OSCHP
Dataset Size
371.6 Mb (TAR of CEL and OSCHP)
Data Catalog Record Updated
2021-08-11