Gene expression signatures of morphologically normal breast tissue identify basal-like tumors
Open Access
- 20 October 2006
- journal article
- research article
- Published by Springer Nature in Breast Cancer Research
- Vol. 8 (5), R58
- https://doi.org/10.1186/bcr1608
Abstract
Introduction: The role of the cellular microenvironment in breast tumorigenesis has become an important research area. However, little is known about gene expression in histologically normal tissue adjacent to breast tumor, if this is influenced by the tumor, and how this compares with non-tumor-bearing breast tissue. Methods: To address this, we have generated gene expression profiles of morphologically normal epithelial and stromal tissue, isolated using laser capture microdissection, from patients with breast cancer or undergoing breast reduction mammoplasty (n = 44). Results: Based on this data, we determined that morphologically normal epithelium and stroma exhibited distinct expression profiles, but molecular signatures that distinguished breast reduction tissue from tumor-adjacent normal tissue were absent. Stroma isolated from morphologically normal ducts adjacent to tumor tissue contained two distinct expression profiles that correlated with stromal cellularity, and shared similarities with soft tissue tumors with favorable outcome. Adjacent normal epithelium and stroma from breast cancer patients showed no significant association between expression profiles and standard clinical characteristics, but did cluster ER/PR/HER2-negative breast cancers with basal-like subtype expression profiles with poor prognosis. Conclusion: Our data reveal that morphologically normal tissue adjacent to breast carcinomas has not undergone significant gene expression changes when compared to breast reduction tissue, and provide an important gene expression dataset for comparative studies of tumor expression profiles.Keywords
This publication has 54 references indexed in Scilit:
- Concordance among Gene-Expression–Based Predictors for Breast CancerNew England Journal of Medicine, 2006
- Molecular Classification and Molecular Forecasting of Breast Cancer: Ready for Clinical Application?Journal of Clinical Oncology, 2005
- Determination of Stromal Signatures in Breast CarcinomaPLoS Biology, 2005
- Gene Expression Signature of Fibroblast Serum Response Predicts Human Cancer Progression: Similarities between Tumors and WoundsPLoS Biology, 2004
- Repeated observation of breast tumor subtypes in independent gene expression data setsProceedings of the National Academy of Sciences, 2003
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerNew England Journal of Medicine, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences, 2001
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long‐term follow‐upHistopathology, 1991