Literature DB >> 31271812

Vascular density of histologically benign breast tissue from women with breast cancer: associations with tissue composition and tumor characteristics.

Ashley M Fuller1, Linnea T Olsson2, Bentley R Midkiff3, Erin L Kirk4, Kirk K McNaughton5, Benjamin C Calhoun6, Melissa A Troester7.   

Abstract

In breast tumors, it is well established that intratumoral angiogenesis is crucial for malignant progression, but little is known about the vascular characteristics of extratumoral, cancer-adjacent breast. Genome-wide transcriptional data suggest that extratumoral microenvironments may influence breast cancer phenotypes; thus, histologic features of cancer-adjacent tissue may also have clinical implications. To this end, we developed a digital algorithm to quantitate vascular density in approximately 300 histologically benign tissue specimens from breast cancer patients enrolled in the UNC Normal Breast Study (NBS). Specimens were stained for CD31, and vascular content was compared to demographic variables, tissue composition metrics, and tumor molecular features. We observed that the vascular density of cancer-adjacent breast was significantly higher in older and obese women, and was strongly associated with breast adipose tissue content. Consistent with observations that older and heavier women experience higher frequencies of ER+ disease, higher extratumoral vessel density was also significantly associated with positive prognostic tumor features such as lower stage, negative nodal status, and smaller size (<2 cm). These results reveal biological relationships between extratumoral vascular content and body size, breast tissue composition, and tumor characteristics, and suggest biological plausibility for the relationship between weight gain (and corresponding breast tissue changes) and breast cancer progression.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  CD31; Digital histology; Microenvironment; Normal breast; Vasculature

Mesh:

Year:  2019        PMID: 31271812      PMCID: PMC7029625          DOI: 10.1016/j.humpath.2019.06.003

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  34 in total

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Journal:  In Vitro Cell Dev Biol Anim       Date:  2006 Nov-Dec       Impact factor: 2.416

4.  Digital histologic analysis reveals morphometric patterns of age-related involution in breast epithelium and stroma.

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5.  Tumor microenvironment of metastasis in human breast carcinoma: a potential prognostic marker linked to hematogenous dissemination.

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Authors:  Xuezheng Sun; Gretchen L Gierach; Rupninder Sandhu; Tyisha Williams; Bentley R Midkiff; Jolanta Lissowska; Ewa Wesolowska; Norman F Boyd; Nicole B Johnson; Jonine D Figueroa; Mark E Sherman; Melissa A Troester
Journal:  Clin Cancer Res       Date:  2013-08-05       Impact factor: 12.531

7.  Body Mass Index at Diagnosis and Breast Cancer Survival Prognosis in Clinical Trial Populations from NRG Oncology/NSABP B-30, B-31, B-34, and B-38.

Authors:  Reena S Cecchini; Sandra M Swain; Joseph P Costantino; Priya Rastogi; Jong-Hyeon Jeong; Stewart J Anderson; Gong Tang; Charles E Geyer; Barry C Lembersky; Edward H Romond; Alexander H G Paterson; Norman Wolmark
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-11-06       Impact factor: 4.254

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Authors:  W D Thompson; K J Shiach; R A Fraser; L C McIntosh; J G Simpson
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9.  Stroma modifies relationships between risk factor exposure and age-related epithelial involution in benign breast.

Authors:  Lynn Chollet-Hinton; Samantha Puvanesarajah; Rupninder Sandhu; Erin L Kirk; Bentley R Midkiff; Karthik Ghosh; Kathleen R Brandt; Christopher G Scott; Gretchen L Gierach; Mark E Sherman; Celine M Vachon; Melissa A Troester
Journal:  Mod Pathol       Date:  2018-02-20       Impact factor: 7.842

Review 10.  Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention.

Authors:  Manuel Picon-Ruiz; Cynthia Morata-Tarifa; Janeiro J Valle-Goffin; Eitan R Friedman; Joyce M Slingerland
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