publication data cCGH publication data aCGH publication data genomic copy number data in cancer: ICD-O 3 morphologies genomic copy number data in cancer: tumor topographies / locations genomic copy number data in cancer: clinical or diagnostic groups genomic copy number data in cancer: samples matched to SEER Progenetix - genomic copy number aberrations in cancer arrayMap - genomic array data in cancer additional information / help
Progenetix - genomic copy number aberrations in cancer

The Progenetix database provides an overview of copy number abnormalities in human cancer from Comparative Genomic Hybridization (CGH) experiments. With 30687 cases from 1006 publications, Progenetix is the largest curated database for whole genome CGH profiles. The current dataset contains 20532 chromosomal CGH and 10261 profiles from genomic array experiments. This data covers 364 diagnostic entities according to the International Classification of Disease in Oncology (ICD-O 3).

Additionally, the website attempts to lists all publications referring to cancer genome profiling experiments.The database & software are developed by the group of Michael Baudis at the University of Zurich.

Example: Regional genomic imbalances in subset 16974079: Levan et al. (2006): Chromosomal Alterations in 98 Endometrioid Adenocarcinomas Analyzed With Comparative Genomic ...
(98 samples; click image for details)
Related publications
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Cai, H., Kumar, N., & Baudis, M. 2012. arrayMap: A Reference Resource for Genomic Copy Number Imbalances in Human Malignancies. PLoS One 7(5), e36944. [PLoS ONE]
Baudis, M. 2007. Genomic imbalances in 5918 malignant epithelial tumors: An explorative meta-analysis of chromosomal CGH data. BMC Cancer 7:226 [PDF]
Baudis, M. 2006. Online database and bioinformatics toolbox to support data mining in cancer cytogenetics. Biotechniques 40, no. 3: 296-272. [PDF]
Baudis, M, and ML Cleary. 2001. Progenetix.net: an online repository for molecular cytogenetic aberration data. Bioinformatics 12, no. 17: 1228-1229. [PDF]
These tools were developed for our research projects. You are welcome to try them out, but there is only sparse documentation. If more support and/or custom analysis is needed, please contact Michael Baudis regarding a collaborative project.