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Virtual-Karyotyping with SNP microarrays in morphologically challenging renal cell neoplasms

ABSTRACT: Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE14670 | GEO | 2009/03/13

SECONDARY ACCESSION(S): PRJNA112365

REPOSITORIES: GEO

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Virtual-Karyotyping with SNP microarrays in morphologically challenging renal cell neoplasms

Project description:Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC. Tumor resection specimens from 17 patients were profiled by virtual karyotyping with Affymetrix 10K 2.0 or 250K Nsp SNP Mapping arrays and were also evaluated independently by a panel of seven genito-urinary pathologists. Tumors were classified by the established pattern of genomic imbalances based on a reference cohort of 98 cases with classic morphology and compared to the morphologic diagnosis of the pathologist panel. In 3 cases, samples from areas with different morphologic appearance were also tested (n=5).

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