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A case-case analysis of women with breast cancer: predictors of interval vs screen-detected cancer.
Dreher, Nickolas; Matthys, Madeline; Hadeler, Edward; Shieh, Yiwey; Acerbi, Irene; McAuley, Fiona M; Melisko, Michelle; Eklund, Martin; Tice, Jeffrey A; Esserman, Laura J; Veer, Laura J Van't.
Afiliación
  • Dreher N; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA. Nickolas.Dreher@icahn.mssm.edu.
  • Matthys M; The Icahn School of Medicine at Mount Sinai, New York, NY, USA. Nickolas.Dreher@icahn.mssm.edu.
  • Hadeler E; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
  • Shieh Y; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
  • Acerbi I; University of Miami Miller School of Medicine, Miami, FL, USA.
  • McAuley FM; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
  • Melisko M; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
  • Eklund M; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
  • Tice JA; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
  • Esserman LJ; Karolinska Institutet, Stockholm, Sweden.
  • Veer LJV; University of California San Francisco, 2340 Sutter Street, N415, San Francisco, CA, 94143-0808, USA.
Breast Cancer Res Treat ; 191(3): 623-629, 2022 Feb.
Article en En | MEDLINE | ID: mdl-34843026
ABSTRACT

PURPOSE:

The Breast Cancer Surveillance Consortium (BCSC) model is a widely used risk model that predicts 5- and 10-year risk of developing invasive breast cancer for healthy women aged 35-74 years. Women with high BCSC risk may also be at elevated risk to develop interval cancers, which present symptomatically in the year following a normal screening mammogram. We examined the association between high BCSC risk (defined as the top 2.5% by age) and breast cancers presenting as interval cancers.

METHODS:

We conducted a case-case analysis among women with breast cancer in which we compared the mode of detection and tumor characteristics of patients in the top 2.5% BCSC risk by age with age-matched (12) patients in the lower 97.5% risk. We constructed logistic regression models to estimate the odds ratio (OR) of presenting with interval cancers, and poor prognosis tumor features, between women from the top 2.5% and bottom 97.5% of BCSC risk.

RESULTS:

Our analysis included 113 breast cancer patients in the top 2.5% of risk for their age and 226 breast cancer patients in the lower 97.5% of risk. High-risk patients were more likely to have presented with an interval cancer within one year of a normal screening, OR 6.62 (95% CI 3.28-13.4, p < 0.001). These interval cancers were also more likely to be larger, node positive, and higher stage than the screen-detected cancers.

CONCLUSION:

Breast cancer patients in the top 2.5% of BCSC risk for their age were more likely to present with interval cancers. The BCSC model could be used to identify healthy women who may benefit from intensified screening.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos