Novel patterns of genome rearrangement and their association with survival in breast cancer
- PMID: 17142309
- PMCID: PMC1665631
- DOI: 10.1101/gr.5460106
Novel patterns of genome rearrangement and their association with survival in breast cancer
Abstract
Representational Oligonucleotide Microarray Analysis (ROMA) detects genomic amplifications and deletions with boundaries defined at a resolution of approximately 50 kb. We have used this technique to examine 243 breast tumors from two separate studies for which detailed clinical data were available. The very high resolution of this technology has enabled us to identify three characteristic patterns of genomic copy number variation in diploid tumors and to measure correlations with patient survival. One of these patterns is characterized by multiple closely spaced amplicons, or "firestorms," limited to single chromosome arms. These multiple amplifications are highly correlated with aggressive disease and poor survival even when the rest of the genome is relatively quiet. Analysis of a selected subset of clinical material suggests that a simple genomic calculation, based on the number and proximity of genomic alterations, correlates with life-table estimates of the probability of overall survival in patients with primary breast cancer. Based on this sample, we generate the working hypothesis that copy number profiling might provide information useful in making clinical decisions, especially regarding the use or not of systemic therapies (hormonal therapy, chemotherapy), in the management of operable primary breast cancer with ostensibly good prognosis, for example, small, node-negative, hormone-receptor-positive diploid cases.
Figures






Similar articles
-
High-resolution ROMA CGH and FISH analysis of aneuploid and diploid breast tumors.Cold Spring Harb Symp Quant Biol. 2005;70:51-63. doi: 10.1101/sqb.2005.70.055. Cold Spring Harb Symp Quant Biol. 2005. PMID: 16869738
-
High resolution genomic analysis of sporadic breast cancer using array-based comparative genomic hybridization.Breast Cancer Res. 2005;7(6):R1186-98. doi: 10.1186/bcr1356. Epub 2005 Nov 24. Breast Cancer Res. 2005. PMID: 16457699 Free PMC article.
-
High-resolution genomic analysis of the 11q13 amplicon in breast cancers identifies synergy with 8p12 amplification, involving the mTOR targets S6K2 and 4EBP1.Genes Chromosomes Cancer. 2011 Oct;50(10):775-87. doi: 10.1002/gcc.20900. Epub 2011 Jul 11. Genes Chromosomes Cancer. 2011. PMID: 21748818
-
DNA amplifications in breast cancer: genotypic-phenotypic correlations.Future Oncol. 2010 Jun;6(6):967-84. doi: 10.2217/fon.10.56. Future Oncol. 2010. PMID: 20528234 Review.
-
Biology in balance: human diploid genome integrity, gene dosage, and genomic medicine.Trends Genet. 2022 Jun;38(6):554-571. doi: 10.1016/j.tig.2022.03.001. Epub 2022 Apr 18. Trends Genet. 2022. PMID: 35450748 Free PMC article. Review.
Cited by
-
Allelic imbalance at the HER2/TOP2A locus in breast cancer.Diagn Pathol. 2015 May 29;10:56. doi: 10.1186/s13000-015-0289-x. Diagn Pathol. 2015. PMID: 26022247 Free PMC article.
-
Genomic architecture characterizes tumor progression paths and fate in breast cancer patients.Sci Transl Med. 2010 Jun 30;2(38):38ra47. doi: 10.1126/scitranslmed.3000611. Sci Transl Med. 2010. PMID: 20592421 Free PMC article.
-
High-resolution comparative genomic hybridization of inflammatory breast cancer and identification of candidate genes.PLoS One. 2011 Feb 9;6(2):e16950. doi: 10.1371/journal.pone.0016950. PLoS One. 2011. PMID: 21339811 Free PMC article.
-
The BCL9-2 proto-oncogene governs estrogen receptor alpha expression in breast tumorigenesis.Oncotarget. 2014 Aug 30;5(16):6770-87. doi: 10.18632/oncotarget.2252. Oncotarget. 2014. PMID: 25149534 Free PMC article.
-
Optical mapping reveals a higher level of genomic architecture of chained fusions in cancer.Genome Res. 2018 May;28(5):726-738. doi: 10.1101/gr.227975.117. Epub 2018 Apr 4. Genome Res. 2018. PMID: 29618486 Free PMC article.
References
-
- Ahr A., Karn T., Solbach C., Seiter T., Strebhardt K., Holtrich U., Kaufmann M., Karn T., Solbach C., Seiter T., Strebhardt K., Holtrich U., Kaufmann M., Solbach C., Seiter T., Strebhardt K., Holtrich U., Kaufmann M., Seiter T., Strebhardt K., Holtrich U., Kaufmann M., Strebhardt K., Holtrich U., Kaufmann M., Holtrich U., Kaufmann M., Kaufmann M. Identification of high risk breast-cancer patients by gene expression profiling. Lancet. 2002;359:131–132. - PubMed
-
- Albertson D.G. Profiling breast cancer by array CGH. Breast Cancer Res. Treat. 2003;78:289–298. - PubMed
-
- Al Kuraya K., Schraml P., Torhorst J., Tapia C., Zaharieva B., Novotny H., Spichtin H., Maurer R., Mirlacher M., Kochli O., Schraml P., Torhorst J., Tapia C., Zaharieva B., Novotny H., Spichtin H., Maurer R., Mirlacher M., Kochli O., Torhorst J., Tapia C., Zaharieva B., Novotny H., Spichtin H., Maurer R., Mirlacher M., Kochli O., Tapia C., Zaharieva B., Novotny H., Spichtin H., Maurer R., Mirlacher M., Kochli O., Zaharieva B., Novotny H., Spichtin H., Maurer R., Mirlacher M., Kochli O., Novotny H., Spichtin H., Maurer R., Mirlacher M., Kochli O., Spichtin H., Maurer R., Mirlacher M., Kochli O., Maurer R., Mirlacher M., Kochli O., Mirlacher M., Kochli O., Kochli O., et al. Prognostic relevance of gene amplifications and coamplifications in breast cancer. Cancer Res. 2004;64:8534–8540. - PubMed
-
- Balmain A., Gray J., Ponder B., Gray J., Ponder B., Ponder B. The genetics and genomics of cancer. Nat. Genet. 2003;33:238–244. - PubMed
-
- Berns E.M., de Klein A., van Putten W.L., van Staveren I.L., Bootsma A., Klijn J.G., Foekens J.A., de Klein A., van Putten W.L., van Staveren I.L., Bootsma A., Klijn J.G., Foekens J.A., van Putten W.L., van Staveren I.L., Bootsma A., Klijn J.G., Foekens J.A., van Staveren I.L., Bootsma A., Klijn J.G., Foekens J.A., Bootsma A., Klijn J.G., Foekens J.A., Klijn J.G., Foekens J.A., Foekens J.A. Association between RB-1 gene alterations and factors of favourable prognosis in human breast cancer, without effect on survival. Int. J. Cancer. 1995;64:140–145. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical