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The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

US Incidence of Breast Cancer Subtypes Defined by Joint Hormone Receptor and HER2 Status

Open access
Howlader, Nadia, Altekruse, Sean F., Li, Christopher I., Chen, Vivien W., Clarke, Christina A., Ries, Lynn A. G., Cronin, Kathleen A.·2014·JNCI: Journal of the National Cancer Institute

Abstract

BACKGROUND: In 2010, Surveillance, Epidemiology, and End Results (SEER) registries began collecting human epidermal growth factor 2 (HER2) receptor status for breast cancer cases. METHODS: Breast cancer subtypes defined by joint hormone receptor (HR; estrogen receptor [ER] and progesterone receptor [PR]) and HER2 status were assessed across the 28% of the US population that is covered by SEER registries. Age-specific incidence rates by subtype were calculated for non-Hispanic (NH) white, NH black, NH Asian Pacific Islander (API), and Hispanic women. Joint HR/HER2 status distributions by age, race/ethnicity, county-level poverty, registry, stage, Bloom-Richardson grade, tumor size, and nodal status were evaluated using multivariable adjusted polytomous logistic regression. All statistical tests were two-sided. RESULTS: Among case patients with known HR/HER2 status, 36810 (72.7%) were found to be HR(+)/HER2(-), 6193 (12.2%) were triple-negative (HR(-)/HER2(-)), 5240 (10.3%) were HR(+)/HER2(+), and 2328 (4.6%) were HR(-)/HER2(+); 6912 (12%) had unknown HR/HER2 status. NH white women had the highest incidence rate of the HR(+)/HER2(-) subtype, and NH black women had the highest rate of the triple-negative subtype. Compared with women with the HR(+)/HER2(-) subtype, triple-negative patients were more likely to be NH black and Hispanic; HR(+)/HER2(+) patients were more likely to be NH API; and HR(-)/HER2(+) patients were more likely to be NH black, NH API, and Hispanic. Patients with triple-negative, HR(+)/HER2(+), and HR(-)/HER2(+) breast cancer were 10% to 30% less likely to be diagnosed at older ages compared with HR(+)/HER2(-) patients and 6.4-fold to 20.0-fold more likely to present with high-grade disease. CONCLUSIONS: In the future, SEER data can be used to monitor clinical outcomes in women diagnosed with different molecular subtypes of breast cancer for a large portion (approximately 28%) of the US population.

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Metadata

Authors
Howlader, N., Altekruse, S. F., Li, C. I., Chen, V. W., Clarke, C. A., Ries, L. A. G., & Cronin, K. A.
Venue
JNCI: Journal of the National Cancer Institute
Published
2014-04-28
Volume
106
Issue
5
ISSN
  • 0027-8874 (ISSN-L)
  • 1460-2105
OpenAlex
W2159427817
Cited by
1,508
References
34
FWCI
19.92
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: US Incidence of Breast Cancer Subtypes Defined by Joint Hormone Receptor and HER2 Status. https://app.cochat.ai/papers/10.1093/jnci/dju055
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Howlader, N., Altekruse, S. F., Li, C. I., Chen, V. W., Clarke, C. A., Ries, L. A. G., & Cronin, K. A. (2014). US Incidence of Breast Cancer Subtypes Defined by Joint Hormone Receptor and HER2 Status. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/dju055

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