Among young women (<40), breast cancer incidence is higher among black women than white women, but at older ages, incidence is higher among white women than black women. The 'black-white crossover' in incidence has been interpreted as evidence of intrinsic biological differences in young, black women's breast cancer. In support of intrinsic biological differences in black vs. white tumors, our work in the Carolina Breast Cancer Study (CBCS), a large population-based case-control study that oversamples young African American (AA) women, demonstrated that young black women are more likely to get basal-like breast cancer (a poor prognosis cancer) and less likely to develop luminal breast cancer (the cancer with the best prognosis). However, we hypothesize that beyond intrinsic subtype (and within basal-like and luminal subtypes), there are additional biological differences in black vs. white tumors that arise due to ancestral differences in expression of genes involved in breast cancer progression. To understand the contribution of ancestry and race-related markers to cancer progression, it is important to (1) study expression and gene sequence differences in both tumor tissue and normal tissue, and (2) to identify the mechanistic implications of these expression differences in breast cancer and normal cells.
Aim 1 of this project will perform expression and gene sequence studies of tumor tissues to identify race-related changes that are also associated with cancer progression, while in Aim 2 the expression and gene sequence of normal tissue will be used to evaluate whether these progression-related genes differ prior to disease onset. These first two aims will use both tumor and normal tissues from two well characterized populations (Carolina Breast Cancer Study and the Normal Breast Study) with substantial proportions of African American patients. These biospecimens will be used to perform RNA-sequencing for quantitative gene expression, and gene sequence analysis, to identify race-associated gene expression differences and polymorphisms that contribute to cancer progression and mortality disparities. Having identified key expression and sequence differences, in Aim 3 will study these genes and their pathways in breast cell lines to evaluate their effects on normal morphogenesis and on cancer progression. The data from this project will identify new biological targets in race-associated breast cancer mortality and will identify the mechanisms by which race-associated gene expression differences promote tumor progression among African American women.

Public Health Relevance

There is a significant disparity in breast cancer mortality, with young African American women having poor outcomes. While higher prevalence of basal-like breast cancers in this group of women is one contributor, there are likely additional race-related causative differences in gene expression even among breast cancers of a single subtype. Understanding the biological effects of these gene expression changes and their mechanistic effects could identify targets for addressing breast cancer mortality disparities.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA179715-02
Application #
8852576
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Sharman, Anu
Project Start
2014-06-01
Project End
2019-05-31
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Hong, Chi-Chen; Sucheston-Campbell, Lara E; Liu, Song et al. (2018) Genetic Variants in Immune-Related Pathways and Breast Cancer Risk in African American Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 27:321-330
Butler, EboneƩ N; Bensen, Jeannette T; Chen, Mengjie et al. (2018) Prediagnostic Smoking Is Associated with Binary and Quantitative Measures of ER Protein and ESR1 mRNA Expression in Breast Tumors. Cancer Epidemiol Biomarkers Prev 27:67-74
Bensen, Jeannette T; Graff, Mariaelisa; Young, Kristin L et al. (2018) A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women. Breast Cancer Res 20:45
Puvanesarajah, Samantha; Nyante, Sarah J; Kuzmiak, Cherie M et al. (2018) PAM50 and Risk of Recurrence Scores for Interval Breast Cancers. Cancer Prev Res (Phila) 11:327-336
Couture, Heather D; Williams, Lindsay A; Geradts, Joseph et al. (2018) Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ Breast Cancer 4:30
Troester, Melissa A; Sun, Xuezheng; Allott, Emma H et al. (2018) Racial Differences in PAM50 Subtypes in the Carolina Breast Cancer Study. J Natl Cancer Inst 110:
Chollet-Hinton, Lynn; Puvanesarajah, Samantha; Sandhu, Rupninder et al. (2018) Stroma modifies relationships between risk factor exposure and age-related epithelial involution in benign breast. Mod Pathol 31:1085-1096
Allott, Emma H; Geradts, Joseph; Cohen, Stephanie M et al. (2018) Frequency of breast cancer subtypes among African American women in the AMBER consortium. Breast Cancer Res 20:12
Sun, Xuezheng; Shan, Yue; Li, Quefeng et al. (2018) Intra-individual Gene Expression Variability of Histologically Normal Breast Tissue. Sci Rep 8:9137
Sun, Xuezheng; Stewart, Delisha A; Sandhu, Rupninder et al. (2018) Correlated metabolomic, genomic, and histologic phenotypes in histologically normal breast tissue. PLoS One 13:e0193792

Showing the most recent 10 out of 31 publications