← BioTransfer GEO Dataset Finder
GEO series

DNA Copy-Number Alterations in clear-cell Renal Cell Carcinoma (ccRCC) Tumors and Tumorgrafts for samples deficient in BAP1 or PBRM1

GSE25540 Homo sapiens Genome variation profiling by SNP array 82 samples Submitted 2012/06/10 Platform GPL6801Platform GPL6984
Summary
Renal cell carcinoma (RCC) exhibits some unusual features and genes commonly mutated in cancer are rarely mutated in clear-cell RCC (ccRCC), the most common type. The most prevalent genetic alteration in ccRCC is the inactivation of the tumor suppressor gene VHL. Using whole-genome and exome sequencing we discovered BAP1 as a novel tumor suppressor in ccRCC that shows little overlap with mutations in PBRM1, another recent tumor suppressor. Whereas VHL was mutated in 81% of the patients (142/176), PBRM1 was lost in 58% and BAP1 in 15% of the patients analyzed. All these tumor suppressor genes are located in chromosome 3p, which is partially or completely lost in most ccRCC patients. However, BAP1 but not PBRM1 loss was associated with higher Fuhrman grade and, therefore, poorer outcome. Xenograft tumors (tumorgrafts) implanted orthotopically in mice retained >92% of mutations and exhibited similar DNA copy number alterations to corresponding primary tumors. Thus, after inactivation of VHL, the acquisition of a mutation in BAP1 or PBRM1 defines a different program that might alter the fate of the patient. Our results establish the foundation for an integrated pathological and molecular genetic classification of about 70% of ccRCC patients, paving the way for subtype-specific treatments exploiting genetic vulnerabilities.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE25540_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 82 samples.

Also filed as BioProject PRJNA134015. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 82 more — browse all 82 samples with per-sample file links →

Similar datasets

Search all human datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.