Database of Array-CGH Profiles of Cancers
Dana-Farber Cancer Institute
posted on 02/04/2009
The mechanism of cancer progression involves chromosomal aberrations, including amplification of oncogenes and deletion of tumor suppressor genes. Microarray-based comparative genomic hybridization (array-CGH) is uniquely well suited for high-resolution detection of DNA copy number aberrations. This technology features a database of array-CGH data focused on genomic alterations in human and mouse cancer genomes. This database contains cancer profiles of melanoma, glioblastoma multiforme, multiple myeloma, pancreatic adenocarcinoma and lung adenocarcinoma.
Applications/Advantages: Since chromosomal aberrations play a pivotal role in cancer progression, knowledge of these genetic imbalances promises to lead to improved cancer diagnoses and treatments. These chromosomal aberrations are best revealed via array-CGH analysis. Array-CGH provides high-resolution estimates of copy aberrations, and can be performed efficiently on many samples. The data provided by array-CGH are quantitative measures of the DNA sequence dosage increase. Moreover, array-CGH can be performed with primary tumor tissue, circumventing issues with tumor cell cultures.
File Number: 960
Other Information:
Investigator(s)
L Chin
Contact
Anthony DelCampo, Email anthonydelcampo@dfci@harvard.edu
This innovation currently is not available for online licensing. Please contact Tony delCampo at Dana-Farber Cancer Institute for more information.
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