[HTML][HTML] Recurrent copy number alterations in prostate cancer: an in silico meta-analysis of publicly available genomic data
We present a meta-analysis of somatic copy number alterations (CNAs) from 11 publications
that examined 662 prostate cancer patient samples, which were derived from 546 primary
and 116 advanced tumors. Normalization, segmentation, and identification of corresponding
CNAs for meta-analysis was achieved using established commercial software.
Unsupervised analysis identified five genomic subgroups in which approximately 90% of the
samples were characterized by abnormal profiles with gains of 8q. The most common loss …
that examined 662 prostate cancer patient samples, which were derived from 546 primary
and 116 advanced tumors. Normalization, segmentation, and identification of corresponding
CNAs for meta-analysis was achieved using established commercial software.
Unsupervised analysis identified five genomic subgroups in which approximately 90% of the
samples were characterized by abnormal profiles with gains of 8q. The most common loss …
