Open Access Research article

BAC CGH-array identified specific small-scale genomic imbalances in diploid DMBA-induced rat mammary tumors

Emma Samuelson1, Sara Karlsson1, Karolina Partheen2, Staffan Nilsson3, Claude Szpirer4 and Afrouz Behboudi15*

Author affiliations

1 Department of Clinical Genetics, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, SE-40530, Göteborg, Sweden

2 Department of Oncology, University of Gothenburg, SE-413 45, Göteborg, Sweden

3 Department of Mathematical Statistics, Chalmers University of Technology, SE-412 96, Göteborg, Sweden

4 IBMM, Université Libre de Bruxelles, B-6041, Gosselies, Charleroi, Belgium

5 Systems Biology Research Centre, School of Life Sciences, University of Skövde, SE-54128, Skövde, Sweden

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Citation and License

BMC Cancer 2012, 12:352  doi:10.1186/1471-2407-12-352

Published: 15 August 2012

Abstract

Background

Development of breast cancer is a multistage process influenced by hormonal and environmental factors as well as by genetic background. The search for genes underlying this malignancy has recently been highly productive, but the etiology behind this complex disease is still not understood. In studies using animal cancer models, heterogeneity of the genetic background and environmental factors is reduced and thus analysis and identification of genetic aberrations in tumors may become easier. To identify chromosomal regions potentially involved in the initiation and progression of mammary cancer, in the present work we subjected a subset of experimental mammary tumors to cytogenetic and molecular genetic analysis.

Methods

Mammary tumors were induced with DMBA (7,12-dimethylbenz[a]anthrazene) in female rats from the susceptible SPRD-Cu3 strain and from crosses and backcrosses between this strain and the resistant WKY strain. We first produced a general overview of chromosomal aberrations in the tumors using conventional kartyotyping (G-banding) and Comparative Genome Hybridization (CGH) analyses. Particular chromosomal changes were then analyzed in more details using an in-house developed BAC (bacterial artificial chromosome) CGH-array platform.

Results

Tumors appeared to be diploid by conventional karyotyping, however several sub-microscopic chromosome gains or losses in the tumor material were identified by BAC CGH-array analysis. An oncogenetic tree analysis based on the BAC CGH-array data suggested gain of rat chromosome (RNO) band 12q11, loss of RNO5q32 or RNO6q21 as the earliest events in the development of these mammary tumors.

Conclusions

Some of the identified changes appear to be more specific for DMBA-induced mammary tumors and some are similar to those previously reported in ACI rat model for estradiol-induced mammary tumors. The later group of changes is more interesting, since they may represent anomalies that involve genes with a critical role in mammary tumor development. Genetic changes identified in this work are at very small scales and thus may provide a more feasible basis for the identification of the target gene(s). Identification of the genes underlying these chromosome changes can provide new insights to the mechanisms of mammary carcinogenesis.

Keywords:
BAC CGH-array; SPRD-Cu3; DMBA; Mammary tumor; Oncotree model