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High-Resolution ROMA CGH and FISH Analysis of Aneuploid and Diploid Breast Tumors
Author(s) -
James Hicks,
Lakshmi Muthuswamy,
Alexander Krasnitz,
Nicholas Navin,
M Riggs,
Vladimir Grubor,
Diane Esposito,
Joan Alexander,
Jennifer Troge,
Michael Wigler,
Susanne Månér,
P. Lundin,
A. Zetterberg
Publication year - 2005
Publication title -
cold spring harbor symposia on quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.615
H-Index - 77
eISSN - 1943-4456
pISSN - 0091-7451
DOI - 10.1101/sqb.2005.70.055
Subject(s) - fluorescence in situ hybridization , ploidy , biology , gene duplication , copy number analysis , breast cancer , fish <actinopterygii> , chromosome , aneuploidy , cancer , genetics , computational biology , genome , copy number variation , gene , fishery
Combining representational oligonucleotide microarray analysis (ROMA) of tumor DNA with fluorescence in situ hybridization (FISH) of individual tumor cells provides the opportunity to detect and validate a wide range of amplifications, deletions, and rearrangements directly in frozen tumor samples. We have used these combined techniques to examine 101 aneuploid and diploid breast tumors for which long-term follow-up and detailed clinical information were available. We have determined that ROMA provides accurate and sensitive detection of duplications, amplifications, and deletions and yields defined boundaries for these events with a resolution of <50 kbp in most cases. We find that diploid tumors exhibit fewer rearrangements on average than aneuploids, but rearrangements occur at the same locations in both types. Diploid tumors reflect at least three consistent patterns of rearrangement. The reproducibility and frequency of these events, especially in very early stage tumors, provide insight into the earliest chromosomal events in breast cancer. We have also identified correlations between certain sets of rearrangement events and clinically relevant parameters such as long-term survival. These correlations may enable novel prognostic indicators for breast and other cancers as more samples are analyzed.

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