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African Americans and High-Risk/Triple Negative Breast Cancer:
Implications for Screening Mammography Recommendations
Lisa A. Newman, MD, MPH, FACS, FASCO Henry Ford Health System
Director, Breast Oncology Program Director, International Center for the Study of Breast Cancer Subtypes
Adjunct Professor of Surgery, M.D. Anderson Cancer Center
Primary Health Care of Women 25th Annual Conference
I have no disclosures
SOCIOECONOMIC DISPARITIES
11.60%
8.20%
3.30%
25.80%
11.90%
6.50%
PROPORTION LIVING BELOW POVERTY LEVEL
PROPORTION UNINSURED PROPORTION UNEMPLOYED, AGE >19 YEARS
White Americans African Americans
Sources: U.S. Census Bureau 2013 National Center for Health Statistics/DHHS 2015 US Department of Labor Statistics 2017
Breast Cancer Burden of African Americans
• Socioeconomic Disparities
• Tumor biology
• Genetics
• Lifestyle & Reproductive Experiences
• Environmental exposures
• Diet/Nutrition
• Higher mortality
• Advanced stage distribution
• Younger age distribution
• Increased risk of adverse tumor features
• Higher incidence of male breast cancer
Utilization of Screening Mammography by Race/Ethnicity
• Multiethnic Cohort (screening prevalence, 1999-2002) – White Americans 88.5% – African Americans 87.5%
• Harmon et al, Cancer Epidemiol 2014
• National Health Interview Survey 2015 (mammo within past 2 yrs) – White Americans 65% – African Americans 69%
• ACS Breast Cancer Facts & Figures 2017-18
Disentangling Race and SES
mortality hazard.1 .5 1 5 10
Combined
Crowe
Jatoi 1995-99
Bradley
Polednak
Albain Postmen
Albain Premen
Roetzheim
El Tamer
Yood
Wojcik
Howard
Franzini
Simon (<50 yo)
Simon (>49 yo)
Perkins
Eley
Neale
Ansell
Gordon
Coates
Bassett Meta-analysis of breast cancer survival adjusted for SES
AA Mortality Hazard: 1.28 (95% CI 1.18-1.38)
Newman et al, JCO 2006
Pooled analysis of SWOG adjuvant therapy trials: Equal treatments resulted in equal outcomes for all cancers (regardless of race/ethnicity) except for African Americans with hormonally-driven cancers (breast & prostate cancers) Albain et al, JNCI 2009
Recurrence Mortality Pre- menopausal
1.39 (1.12-1.73)
1.41 (1.10-1.82)
Post- menopausal
1.45 (1.27-1.66)
1.49 (1.28-1.73)
Breast Cancer Burden of African Americans
• Socioeconomic Disparities
• Delivery of Care • Tumor biology • Genetics • Lifestyle &
Reproductive Experiences
• Environmental exposures
• Diet/Nutrition
• Higher mortality
• Advanced stage distribution
• Younger age distribution 30-40% AA <50; 20% WA<50
• Increased risk of adverse tumor features Two-fold higher rates TNBC in AA vs WA
• Higher incidence male breast cancer
“Breast cancer statistics, 2015: Convergence of incidence rates between
black and white women”
CA: A Cancer Journal for Clinicians 29 OCT 2015
Δ=42%
Increased Prevalence of TNBC Among AA Patients Regardless of Age or Stage at Diagnosis
Breast Cancer Res Treat (2009) 113 : 357
TNBC more common in young women, and in AA women in all age categories
TNBC more common with more advanced stages, and in AA women at all stages of disease
Kohler B et al, April 2015
TNBC WA TNBC AA
TNBC Asian/PI TNBC Hispanic
“Annual report to the nation on the status of cancer, 1975-2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state”
H&E ER-Neg PR-Neg HER2/neu-Neg
ER-Pos PR-Pos HER2/neu-Pos H&E
Clinical Relevance of Triple Negative Breast Cancer
• Inherently more aggressive pattern of breast cancer
• Fewer systemic therapy options for TNBC: no targeted therapies • More common in African American women and in families with hereditary cancer susceptibility (BRCA 1) • More likely to be mammographically-occult • More likely to present as an interval cancer
Breast Cancer Survival Among African American Patients by Phenotype
SEER Program, AA pts Dx’d 2010-12 (n=19,836; 20% TNBC)
Akinyemiju et al, Br CA Res Tr 2015
African Ancestry as a Risk Factor for Early Onset Breast Cancer
• Average age at breast cancer diagnosis – White/Caucasians: 61 years – African American: 57 years
• Proportion of pts diagnosed <50 years: – 1/5 WA; 1/3 AA
• Population-based incidence rates by age (per 100K) Age (yrs) White American African American 20-24 1.3 2.0 25-29 7.9 11.8 30-34 25.7 33.2 35-39 59.4 66.6 40-44 121.2 123.5
0.0
100.0
200.0
300.0
400.0
500.0
25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+ Age
Incidence: White
Mortality: African American Mortality: White
Data sources: Incidence - North American Association of Central Cancer Registries, 2009. Mortality - National Center for Health Statistics, Centers for Disease Control and Prevention, 2009.
Rat
e pe
r 100
,000
Incidence: African American
US Female Breast Cancer Incidence & Mortality by Age and Race,
2002-2006
Meta analysis of invitation Screening RCT (USPSTF/Cancer Intervention and Surveillance Modelling Network)
Nelson H D et al. Ann Intern Med 2009;151:727-737 ©2009 by American College of Physicians
Updated Estimates: Screening Mammography Benefits Cancer Intervention and Surveillance Modeling Network
Screening Strategy
Total # mammograms
Total # Deaths Averted
Total # Negative Recalls
Total # Benign Biopsies
Annual, 40-84 y 90.2 million 29,369 6.8 million 481,260
Annual, 45-54 y; Biennial, 55-79 y 49 million 22,829 4.1 million 286,288
Biennial, 50-74 y 27.3 million 17,153 2.3 million 162,888
Arleo et al, Cancer, October 2017
Current Screening Mammography Guidelines: Agreement regarding ACCESS to mammography beginning at age 40 yrs
American Academy of Family Physicians
• Women ages 50-74 years should undergo biennial screening mammography
• Women aged 40-49 should make an individualized decision regarding screening mammography after considering risks and benefits
American Cancer Society
• Initiate annual screening mammography at age 45 years • Transition to biennial screening mammography at age 55
• Annual screening mammography should be available to women at age 40 years; continuing until life expectancy is at least ten years.
American Coll OB-GYN • Annual mammography should be offered beginning at age 40 yearsAmerican Coll Radiology; Soc. of Breast Imaging
• Women should have annual mammography beginning at age 40 years
American Soc. of Breast Surgeons
• Annual mammographic screening for women ages 45-54
• Shared decision-making for mammography in women ages 40-44 • Shared decision-making regarding annual versus biennial mammographic screening for women aged 55 and older • Biennial mammography screening for women over age 75 with life expectancy at least ten years
NCCN • Women should have annual mammography beginning at age 40 years
US Preventive Services Task Force
• Women ages 50-74 should undergo biennial screening mammography
• Women aged 40-49 should make an individualized decision regarding screening mammography after considering risks and benefits
• Insufficient evidence available to make recommendations for women age 75 years and older
Are we seeing more young women with breast cancer???
1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 20060
50
100
150
200
250
300
350
400
450Ra
te per
100,0
00
Year
Ages 50+
All ages
Ages 0-49
1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 20060
50
100
150
200
250
300
350
400
450 B. In situ
Data source: Surveillance, Epidemiology, and End Results (SEER) Program, SEER 9 Registires, 1973-2006,Division of Cancer Control and Population Science, National Cancer Institute, 2009.
* Rates are age-adjusted to the 2000 US standard population within each age group.
Figure 4. Incidence Rates* of Invasive and In Situ Female Breast Cancer by Age, Adjusted for Delayed Reporting, US, 1975-2006
Year
All agesAges 0-49
Ages 50+
A. Invasive
Are We Seeing More Young Women with Breast Cancer?
Growth of US Female Population by Age Category US Census 1980-2010
0
5,000,000
10,000,000
15,000,000
20,000,000
25,000,000
Age 20-29 years Age 30-39 years Age 40-49 years
1980 1990 2000 2010 Rosenberg and Newman, JAMA Onc 2015
Brinton L A et al. JNCI J Natl Cancer Inst 2008;100:1643-1648
Are we seeing more young women with breast cancer: SEER Data
Population-Based Incidence Rates of TNBC, by Race/Ethnicity and Age:
Implications for Screening Recommendations
Delayed mammography screening may worsen breast CA outcome disparities between AA and WA women (Amrikia and Newman, CANCER, 2011)
0
10
20
30
40
50
60
70
<40 40-49 50-59 60-74 ≥75
Incide
nceRa
te(p
er100,000)
Age(years)
White
Black
H&E ER-Neg PR-Neg HER2/neu-Neg
ER-Pos PR-Pos HER2/neu-Pos H&E
Clinical Relevance of Triple Negative Breast Cancer
• Inherently more aggressive pattern of breast cancer
• Fewer systemic therapy options for TNBC: no targeted therapies • More common in African American women and in families with BRCA1 hereditary cancer susceptibility
• More likely to be mammographically-occult • More likely to present as an interval cancer
Outcomes by Tumor Subtype and Treatment for Sub-Centimeter, Node-Negative Breast Cancer:
Multi-Institutional NCCN Data 75% mammographically screen-detected No details on race-ethnic distribution
Ines Vaz-Luis et al. JCO 2014;32:2142-2150
©2014 by American Society of Clinical Oncology
NCCN Outcomes: Early-Detected TNBC (Vaz-Luis et al, JCO 2014)
T1aN0 T1bN0
No CTX With CTX No CTX With
CTX OS 94% 100% 91% 96%
BCSS 95% 100% 95% 98%
IDFS 86% 91% 81% 88%
DRFS 93% 100% 90% 96%
Early Stage TNBC: Detection and Outcomes
• Memorial Sloan Kettering Cancer Center – 194 cases of T1b N0 TNBC, 1999-2006 – 69% detected by screening – Median follow-up 73 months – 58% received adjuvant CTX
Ho et al, Cancer 2012
CTX No CTX 5-Yr Locoregional-Free Survival 96.2% 96% 5-Yr Distant Recurrence-Free Survival 95.9% 94.5%
Favorable prognosis in patients with T1a/T1bN0 triple-negative breast cancers treated with multimodality therapy; Ho et al Cancer 2012; 69% screen-detected
Cancer Volume 118, Issue 20, pages 4944-4952, 5 MAR 2012 DOI: 10.1002/cncr.27480 http://onlinelibrary.wiley.com/doi/10.1002/cncr.27480/full#fig2
Early Stage TNBC: Detection and Outcomes
• Brown Univ & Beth Israel Medical Center – 113 cases of T1b N0 TNBC, 1996-2010 – No details on screen detection rates – Median follow-up 64 months – 43% received adjuvant CTX – Five-Year Overall and Disease-Free Survival
rates >90% regardless of whether adjuvant CTX delivered Olszewski et al, Br CA Res Tr 2013
“Breast cancer precursors revisited: molecular features & progression pathways”
Reis-Filho J et al; Histopathology 2010
Henry Ford Health System Benign Breast Disease Cohort
• Henry Ford Health System – Metropolitan Detroit – Approximately 30% African American patients
• Benign Breast Disease Cohort – female patients with benign breast biopsy – 1994-2005 – Age 40-70 years – 2,588 African Americans – 3,566 White Americans
Newman et al, JAMA Onc 2016
Subsequent Breast Cancers • 106 AA (4.1%) vs. 144 WA (4.0%); p= 0.363 • Mean time to breast cancer diagnosis
– AA: 6.8 years vs. WA: 6.1 years (p= 0.188) • Stage Distribution
– AA: 28% DCIS vs WA: 22% DCIS (p= 0.146) – No significant differences in stage distribution for
invasive cancers Subtype AA (%) WA (%) P-ValueER+ and/or PR+, HER2- 63.1% 71.3%
0.0300ER+ and/or PR+, HER2+ 7.7% 11.7%ER- /PR- and HER2+ 4.6% 9.6%ER-/PR- and HER2- (TNBC) 24.6% 7.4%
African Americans N=2,588
White/Caucasian Americans N=3,566
Henry Ford Health System Benign Breast Disease Cohort: TNBC Incidence
Newman et al JAMA ONC, Dec 2016
Summary
• TNBC incidence higher in African American women at all ages
• Outcomes better for TNBC when detected early, and CTX less likely to be necessary
• Early detection of TNBC with screening mammography is feasible
• Potential exists for disproportionately negative impact of delayed screening mammography in African American women
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