Mortality risk of black women and white women with invasive breast cancer by hormone receptors, HER2, and p53 status

Abstract Background Lobular carcinoma in situ (LCIS) of the breast is a risk factor of developing invasive breast cancer. We evaluated the racial differences in the risks of subsequent invasive breast cancer following LCIS. Methods We utilized data from the Surveillance, Epidemiology, and End Results registries to identify 18,835 women diagnosed with LCIS from 1990 to 2015. Cox proportional hazards regression was used to estimate race/ethnicity-associated hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) of subsequent invasive breast cancer. Results During a median follow-up of 90 months, 1567 patients developed invasive breast cancer. The 10-year incidence was 7.9% for Asians, 8.2% for Hispanics, 9.3% for whites, and 11.2% for blacks (P = 0.046). Compared to white women, black women had significantly elevated risks of subsequent invasive breast cancer (HR 1.33; 95% CI 1.11, 1.59), and invasive cancer in the ipsilateral breast (HR 1.37; 95% CI 1.08, 1.72) and in the contralateral breast (HR 1.33; 95% CI 1.00, 1.76). Black women had significantly higher risks of invasive subtypes negative for both estrogen receptor and progesterone receptor (HR 1.86; 95% CI 1.14, 3.03) and invasive subtypes positive for one or both of receptors (HR 1.30; 95% CI 1.07, 1.59). The risk of subsequent invasive breast cancer was comparable in Asian women and Hispanic women compared with white women. Conclusions Black women had a significantly higher risk of developing invasive breast cancer, including both hormone receptor-positive and hormone receptor-negative subtypes, after LCIS compared with white counterparts. It provides an opportunity to address health disparities.

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Abstract 3590: Use of four biomarkers to evaluate survival disparity between black women and white women 35 to 64 years of age at diagnosis with invasive breast cancer

10.1158/1538-7445.am2012-3590 ◽

2012 ◽

Author(s):

Huiyan Ma ◽

Yani Lu ◽

Kathleen E. Malone ◽

Brian L. Strom ◽

Michael S. Simon ◽

...

Keyword(s):

Breast Cancer ◽

Black Women ◽

Invasive Breast Cancer ◽

White Women ◽

Age At Diagnosis

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Obesity and Survival Among Black Women and White Women 35 to 64 Years of Age at Diagnosis With Invasive Breast Cancer

Journal of Clinical Oncology ◽

10.1200/jco.2010.34.2048 ◽

2011 ◽

Vol 29 (25) ◽

pp. 3358-3365 ◽

Cited By ~ 46

Author(s):

Yani Lu ◽

Huiyan Ma ◽

Kathleen E. Malone ◽

Sandra A. Norman ◽

Jane Sullivan-Halley ◽

...

Keyword(s):

Breast Cancer ◽

Black Women ◽

Invasive Breast Cancer ◽

White Women ◽

Cox Regression ◽

Adjusted Relative Risk ◽

Risk Of Death ◽

Black Patients ◽

Cancer Specific Mortality

Purpose To evaluate the effect of obesity on survival among black women and white women with invasive breast cancer and to determine whether obesity explains the poorer survival of black women relative to white women. Patients and Methods We observed 4,538 (1,604 black, 2,934 white) women who were 35 to 64 years of age when diagnosed with incident invasive breast cancer between 1994 and 1998. Multivariate Cox regression models were used to examine the effect of body mass index (BMI, in kilograms per square meter) 5 years before diagnosis on risk of death from any cause and from breast cancer. Results During a median of 8.6 years of follow-up, 1,053 women died (519 black, 534 white), 828 as a result of breast cancer (412 black, 416 white). Black women were more likely to die than white women (multivariate-adjusted relative risk [RR], 1.33; 95% CI, 1.16 to 1.53). Compared with women with BMI of 20 to 24.9 kg/m2, those who were obese (BMI ≥ 30 kg/m2) had a greater risk of all-cause mortality (RR, 1.23; 95% CI, 1.04 to 1.47) and breast cancer–specific mortality (RR, 1.20; 95% CI, 0.99 to 1.46). These associations were observed among white women (all-cause RR, 1.54; 95% CI, 1.21 to 1.96; breast cancer RR, 1.46; 95% CI, 1.11 to 1.92), but not among black women (all-cause RR, 1.03; 95% CI, 0.81 to 1.29; breast cancer RR, 1.02; 95% CI, 0.79 to 1.33). Conclusion Obesity may play an important role in mortality among white but not black patients with breast cancer. It is unlikely that differences in obesity distributions between black women and white women account for the poorer survival of black women.

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Distant metastases after diagnosis: Racial disparities in breast cancer outcomes.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.15_suppl.1084 ◽

2021 ◽

Vol 39 (15_suppl) ◽

pp. 1084-1084

Author(s):

Julia Blanter ◽

Ilana Ramer ◽

Justina Ray ◽

Emily J. Gallagher ◽

Nina A. Bickell ◽

...

Keyword(s):

Breast Cancer ◽

Multivariate Analysis ◽

Black Women ◽

Racial Disparities ◽

Late Stage ◽

White Women ◽

Univariate Analysis ◽

Distant Metastases ◽

Stage At Diagnosis

1084 Background: Black women diagnosed with breast cancer are more likely to have a poor prognosis, regardless of breast cancer subtype. Despite having a lower incidence rate of breast cancer when compared to white women, black women have the highest breast cancer death rate of all racial and ethnic groups, a characteristic often attributed to late stage at diagnosis. Distant metastases are considered the leading cause of death from breast cancer. We performed a follow up study of women with breast cancer in the Mount Sinai Health System (MSHS) to determine differences in distant metastases rates among black versus white women. Methods: Women were initially recruited as part of an NIH funded cross-sectional study from 2013-2020 to examine the link between insulin resistance (IR) and breast cancer prognosis. Women self-identified as black or white race. Data was collected via retrospective analysis of electronic medical records (EMR) between September 2020-January 2021. Distant metastases at diagnosis was defined as evidence of metastases in a secondary organ (not lymph node). Stage at diagnosis was recorded for all patients. Distant metastases after diagnosis was defined as evidence of metastases at any time after initiation of treatment. Univariate analysis was performed using Fisher’s exact test, multivariate analysis was performed by binary logistic regression, and results expressed as odds ratio (OR) and 95% confidence interval (CI). A p value <0.05 was considered statistically significant. Results: We identified 441 women enrolled in the IR study within the MSHS (340 white women, 101 black women). Median follow up time for all women was 2.95 years (median = 3.12 years for white and 2.51 years for black women (p=0.017)). Among these patients, 11 developed distant metastases after diagnosis: 4 (1.2%) white and 7 (6.9%) black (p=0.004). Multivariate analysis adjusting for age, race and stage at diagnosis revealed that black women were more likely to have distant metastasis (OR 5.8, CI 1.3-25.2), as were younger women (OR for age (years) 0.9, CI 0.9-1.0), and those with more advanced stage at diagnosis. Conclusions: Black women demonstrated a far higher percentage of distant metastases after diagnosis even when accounting for age and stage. These findings suggest that racial disparities still exist in the development of distant metastases, independent from a late-stage diagnosis. The source of existing disparities needs to be further understood and may be found in surveillance, treatment differences, or follow up.

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Geographical disparities of incidence and prevalence of triple-negative breast cancers: Multistate study data analysis.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.15_suppl.e12599 ◽

2021 ◽

Vol 39 (15_suppl) ◽

pp. e12599-e12599

Author(s):

Hyein Jeon ◽

Myeong Lee ◽

Mohammed Jaloudi

Keyword(s):

Breast Cancer ◽

Black Women ◽

Significant Relationship ◽

White Women ◽

Triple Negative ◽

The State ◽

Luminal A ◽

Black Females ◽

Black And White ◽

State Effect

e12599 Background: Higher prevalence of triple negative breast cancer (TNBC) in black women with associated poor outcomes due to various disparities is well documented within a single state. We examine multiple states to better understand the state effect on such differences in incidence and prevalence of TNBC in black women. Methods: Female patients of ages 19 years old and above with breast cancer from the Surveillance, Epidemiology and End Results (SEER) Program across 13 states (608 counties) from 2015 (n = 66,444) and 2016 (n = 66,122) were examined. The relationships between the proportion of black and white women and the rate of patients with different tumor subtypes (luminal A, luminal B, HR-HER2+, and triple negative) were examined at the county level using ordinary least-square regression models. In parallel, due to consideration of various state-specific healthcare policies, socio-cultural norms, and socio-economic disparities, multi-level regression models were applied to examine the nested, random effect of each state on TNBC prevalence in each county. Bonferroni correction was applied to reduce the Type I error caused by repeated use of the same variables in multiple tests. Results: The baseline breast cancer rates between black and white women were similar in the population (0.171% for black and 0.168% for white). Consistent to previous studies, we demonstrate a significant positive correlation (p < 0.001) in TNBC in black females in both years. Surprisingly, when accounted for the random effects on states, 38.2% (2015) and 34.3% (2016) increase in incidence of TNBC in black females were seen, suggestive of state-specific disparity affecting race-specific health. In 2015, other subtypes of breast cancer in both black and white females did not result in significant relationship. Interestingly, in 2016, there was a significant relationship seen between the TNBC rate in white females and the white female population rate only after adjusting for the state effect (p = 0.026). This indicates the impact of non-biological factors such as state-wide health policies. Additionally, HR-HER2+ black females had a significant relationship against respective population rate only after adjusting for the state effect as well (p = 0.0394). For luminal A white females, a 15% decrease in incidence was seen after adjusting for state effect (p = 0.0424). Conclusions: This is the first known across-state examination of breast cancer subtypes by race with random effects on state. This study shows the role of state-specific factors affecting incidence in black and white females and potentially indicates the importance of state-level management for breast cancer on health disparities in addition to race-driven effects. Further studies are needed to elucidate comparable differences between states affecting the rates of various subtypes of breast cancer and thus health outcomes.

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