Benign Breast Tissue Composition in Breast Cancer Patients: Association with Risk Factors, Clinical Variables, and Gene Expression

Background: Breast tissue composition (epithelium, non-fatty stroma, and adipose) changes qualitatively and quantitatively throughout the lifespan, and may mediate relationships between risk factors and breast cancer initiation. We sought to identify relationships between tissue composition, risk factors, tumor characteristics, and gene expression. Methods: Participants were 146 patients from the Polish Breast Cancer Study, with data on risk factor and clinicopathological characteristics. Benign breast tissue composition was evaluated using digital image analysis of histologic sections. Whole-genome microarrays were performed on the same tissue blocks. Results: Mean epithelial, non-fatty stromal, and adipose proportions were 8.4% (SD = 4.9%), 27.7% (SD = 24.0%), and 64.0% (SD = 24.0%), respectively. Among women <50 years old, stroma proportion decreased and adipose proportion increased with age, with approximately 2% difference per year (P < 0.01). The variation in epithelial proportion with age was modest (0.1% per year). Higher epithelial proportion was associated with obesity (7.6% in nonobese vs. 10.1% in obese; P = 0.02) and with poorly differentiated tumors (7.8% in well/moderate vs. 9.9% in poor; P = 0.05). Gene expression signatures associated with epithelial and stromal proportion were identified and validated. Stroma-associated genes were in metabolism and stem cell maintenance pathways, whereas epithelial genes were enriched for cytokine and immune response pathways. Conclusions: Breast tissue composition was associated with age, body mass index, and tumor grade, with consequences for breast gene expression. Impact: Breast tissue morphologic factors may influence breast cancer etiology. Composition and gene expression may act as biomarkers of breast cancer risk and progression. Cancer Epidemiol Biomarkers Prev; 23(12); 2810–8. ©2014 AACR.

[1]  Gretchen L. Gierach,et al.  Association between mammographic density and basal-like and luminal A breast cancer subtypes , 2013, Breast Cancer Research.

[2]  S. Crawford,et al.  Peritumoral Expression of Adipokines and Fatty Acids in Breast Cancer , 2013, Annals of Surgical Oncology.

[3]  W. E. Mesker,et al.  Prognostic significance of the tumor-stroma ratio: validation study in node-negative premenopausal breast cancer patients from the EORTC perioperative chemotherapy (POP) trial (10854) , 2013, Breast Cancer Research and Treatment.

[4]  N. Boyd,et al.  Mammographic Density as a Surrogate Marker for the Effects of Hormone Therapy on Risk of Breast Cancer , 2006, Cancer Epidemiology, Biomarkers and Prevention.

[5]  Samantha M. Miller,et al.  Role of HGF in epithelial–stromal cell interactions during progression from benign breast disease to ductal carcinoma in situ , 2013, Breast Cancer Research.

[6]  G. Colditz,et al.  Association of age and reproductive factors with benign breast tissue composition. , 1999, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[7]  Kornelia Polyak,et al.  The role of the microenvironment in mammary gland development and cancer. , 2010, Cold Spring Harbor perspectives in biology.

[8]  Jason R. Pirone,et al.  Age-Associated Gene Expression in Normal Breast Tissue Mirrors Qualitative Age-at-Incidence Patterns for Breast Cancer , 2012, Cancer Epidemiology, Biomarkers & Prevention.

[9]  N F Boyd,et al.  Mammographic density, lobular involution, and risk of breast cancer , 2008, British Journal of Cancer.

[10]  Zena Werb,et al.  Stromal Effects on Mammary Gland Development and Breast Cancer , 2002, Science.

[11]  Norman F. Boyd,et al.  Relationship of Mammographic Density and Gene Expression: Analysis of Normal Breast Tissue Surrounding Breast Cancer , 2013, Clinical Cancer Research.

[12]  M. Barcellos-Hoff Stromal Mediation of Radiation Carcinogenesis , 2010, Journal of Mammary Gland Biology and Neoplasia.

[13]  Norman Boyd,et al.  The Association of Measured Breast Tissue Characteristics with Mammographic Density and Other Risk Factors for Breast Cancer , 2005, Cancer Epidemiology Biomarkers & Prevention.

[14]  M. García-Closas,et al.  Established breast cancer risk factors by clinically important tumour characteristics , 2006, British Journal of Cancer.

[15]  L. Vatten,et al.  Hormone therapy use and mammographic density in postmenopausal Norwegian women , 2012, Breast Cancer Research and Treatment.

[16]  Gordon K Smyth,et al.  Statistical Applications in Genetics and Molecular Biology Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments , 2011 .

[17]  V. McCormack,et al.  Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis , 2006, Cancer Epidemiology Biomarkers & Prevention.

[18]  Klaus Kratochwil,et al.  Regulation of Mammary Gland Development by Tissue Interaction , 2004, Journal of Mammary Gland Biology and Neoplasia.

[19]  J Kulka,et al.  The prognostic significance of tumour–stroma ratio in oestrogen receptor-positive breast cancer , 2014, British Journal of Cancer.

[20]  M. García-Closas,et al.  Analysis of terminal duct lobular unit involution in luminal A and basal breast cancers , 2012, Breast Cancer Research.

[21]  Kornelia Polyak,et al.  Breast cancer: origins and evolution. , 2007, The Journal of clinical investigation.

[22]  R. Tibshirani,et al.  Generalized Additive Models , 1986 .

[23]  V Shane Pankratz,et al.  Association between mammographic density and age-related lobular involution of the breast. , 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[24]  Susan E. Clare,et al.  The Susan G. Komen for the Cure Tissue Bank at the IU Simon Cancer Center: A Unique Resource for Defining the “Molecular Histology” of the Breast , 2012, Cancer Prevention Research.

[25]  R. Reisfeld The tumor microenvironment: a target for combination therapy of breast cancer. , 2013, Critical reviews in oncogenesis.

[26]  Kornelia Polyak,et al.  Breast Tumor Heterogeneity: Cancer Stem Cells or Clonal Evolution? , 2007, Cell cycle.

[27]  R. Tibshirani,et al.  Generalized Additive Models , 1991 .

[28]  T. Nagayasu,et al.  Clinical significance of categorisation of mammographic density for breast cancer prognosis. , 2005, International journal of oncology.

[29]  N. Boyd,et al.  The quantitative analysis of mammographic densities. , 1994, Physics in medicine and biology.

[30]  Micah Dembo,et al.  Mammary epithelial cell: influence of extracellular matrix composition and organization during development and tumorigenesis. , 2007, The international journal of biochemistry & cell biology.

[31]  C. Perou,et al.  Impact of Tumor Microenvironment and Epithelial Phenotypes on Metabolism in Breast Cancer , 2012, Clinical Cancer Research.

[32]  Andrew H. Beck,et al.  Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival , 2011, Science Translational Medicine.

[33]  Derek C. Radisky,et al.  Tissue composition of mammographically dense and non-dense breast tissue , 2011, Breast Cancer Research and Treatment.

[34]  S. Rosenzweig,et al.  Role of oxidative stress and the microenvironment in breast cancer development and progression. , 2013, Advances in cancer research.

[35]  J. Russo,et al.  Architectural pattern of the normal and cancerous breast under the influence of parity. , 1994, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[36]  Jason R. Pirone,et al.  Activation of Host Wound Responses in Breast Cancer Microenvironment , 2009, Clinical Cancer Research.

[37]  William C Hines,et al.  Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression , 2011, Nature Medicine.

[38]  R. Walker,et al.  The aged breast , 2007, The Journal of pathology.

[39]  S. Bulun,et al.  Aromatase gene expression in adipose tissue: Relationship to breast cancer , 1994, The Journal of Steroid Biochemistry and Molecular Biology.

[40]  K. Polyak,et al.  The microenvironment in breast cancer progression: biology and implications for treatment , 2011, Breast Cancer Research.

[41]  Greg Finak,et al.  Gene expression signatures of morphologically normal breast tissue identify basal-like tumors , 2006, Breast Cancer Research.

[42]  Victoria L. Cafourek,et al.  Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies. , 2011, Journal of the National Cancer Institute.

[43]  M. Pike,et al.  Dense breast stromal tissue shows greatly increased concentration of breast epithelium but no increase in its proliferative activity , 2006, Breast Cancer Research.

[44]  C. Perou,et al.  Interactions with Fibroblasts Are Distinct in Basal-Like and Luminal Breast Cancers , 2010, Molecular Cancer Research.