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Molecular Biology, Pathobiology, and Genetics |
Departments of 1 Pathology, 2 Urology, 3 Genetics, and 4 Biochemistry, Stanford University, Stanford, California; 5 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington; and 6 Department of Oncology-Pathology, Karolinska Institutet, and Department of Oncology, Karolinska University Hospital, Stockholm, Sweden
Requests for reprints: Jonathan R. Pollack, Department of Pathology, Stanford University School of Medicine, CCSR-3245A, 269 Campus Drive, Stanford, CA 94305-5176. Phone: 650-736-1987; Fax: 650-736-0073; E-mail: pollack1{at}stanford.edu.
Prostate cancer is clinically heterogeneous, ranging from indolent to lethal disease. Expression profiling previously defined three subtypes of prostate cancer, one (subtype-1) linked to clinically favorable behavior, and the others (subtypes-2 and -3) linked with a more aggressive form of the disease. To explore disease heterogeneity at the genomic level, we carried out array-based comparative genomic hybridization (array CGH) on 64 prostate tumor specimens, including 55 primary tumors and 9 pelvic lymph node metastases. Unsupervised cluster analysis of DNA copy number alterations (CNA) identified recurrent aberrations, including a 6q15-deletion group associated with subtype-1 gene expression patterns and decreased tumor recurrence. Supervised analysis further disclosed distinct patterns of CNA among gene-expression subtypes, where subtype-1 tumors exhibited characteristic deletions at 5q21 and 6q15, and subtype-2 cases harbored deletions at 8p21 (NKX3-1) and 21q22 (resulting in TMPRSS2-ERG fusion). Lymph node metastases, predominantly subtype-3, displayed overall higher frequencies of CNA, and in particular gains at 8q24 (MYC) and 16p13, and loss at 10q23 (PTEN) and 16q23. Our findings reveal that prostate cancers develop via a limited number of alternative preferred genetic pathways. The resultant molecular genetic subtypes provide a new framework for investigating prostate cancer biology and explain in part the clinical heterogeneity of the disease. [Cancer Res 2007;67(18):8504–10]
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