GEO DataSets

(Submitter supplied) Background Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome. Methods In a study of 482 tumour, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic loci that affect expression levels of mRNA in an expression quantitative trait loci (eQTL) approach, to stratify patients into subgroups that we then associated with future clinical behavior, and compared with either CNA or transcriptomics alone. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL16104

300 Samples

Download data: IDAT, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array

4 related Platforms

808 Samples

Download data: CEL, IDAT

(Submitter supplied) This array is based on build 37 Protocol: See manufacturer's website

Organism:

Homo sapiens

26 Series

1630 Samples

Download data