Go to GIU Home
Wednesday, October 1, 2014
Logged in as guest |
Nymark et al.: Identification of specific gene copy number changes in asbestos-related lung cancer.
CMG Group Public
Nymark P, Wikman H, Ruosaari S, Hollmén J, Vanhala E, Karjalainen A, Anttila S, Knuutila S.
lung cancer, asbestos, array CGH, DNA aberrations
Asbestos is a well-known lung cancer-causing mineral fiber. In vitro and in vivo experiments have shown that asbestos can cause chromosomal damage and aberrations. Lung tumors, in general, have several recurrently amplified and deleted chromosomal regions. To investigate whether a distinct chromosomal aberration profile could be detected in the lung tumors of heavily asbestos-exposed patients, we analyzed the copy number profiles of 14 lung tumors from highly asbestos-exposed patients and 14 matched tumors from nonexposed patients using classic comparative genomic hybridization (CGH). A specific profile could lead to identification of the underlying genes that may act as mediators of tumor formation and progression. In addition, array CGH analyses on cDNA microarrays (13,000 clones) were carried out on 20 of the same patients. Classic CGH showed, on average, more aberrations in asbestos-exposed than in nonexposed patients, and an altered region in chromosome 2 seemed to occur more frequently in the asbestos-exposed patients. Array CGH revealed aberrations in 18 regions that were significantly associated with either of the two groups. The most significant regions were 2p21-p16.3, 5q35.3, 9q33.3-q34.11, 9q34.13-q34.3, 11p15.5, 14q11.2, and 19p13.1-p13.3 (P < 0.005). Furthermore, 11 fragile sites coincided with the 18 asbestos-associated regions (P = 0.08), which may imply preferentially caused DNA damage at these sites. Our findings are the first evidence, indicating that asbestos exposure may produce a specific DNA damage profile.
Integrative Genomics Viewer
View in IGV
The links above can be used to open data in
This requires that http requests are turned on in
2006-03-16 09:22:00 by
2007-08-16 18:14:26 by
Add experiment to dataset
CMG - Laboratory of Cytomolecular Genetics
GIU - Genome Informatics Unit
session ID: 6ac56c30c206710acf7921a91c434d23