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Extending the Breast Cancer Surveillance Consortium Model of Invasive Breast Cancer.
Gard, Charlotte C; Tice, Jeffrey A; Miglioretti, Diana L; Sprague, Brian L; Bissell, Michael C S; Henderson, Louise M; Kerlikowske, Karla.
Affiliation
  • Gard CC; Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces, NM.
  • Tice JA; Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA.
  • Miglioretti DL; University of California, Davis, Davis, CA.
  • Sprague BL; Kaiser Permanente Washington Health Research Institute, Seattle, WA.
  • Bissell MCS; Department of Surgery, University of Vermont Cancer Center, Burlington, VT.
  • Henderson LM; Department of Radiology, University of Vermont Cancer Center, Burlington, VT.
  • Kerlikowske K; University of California, Davis, Davis, CA.
J Clin Oncol ; 42(7): 779-789, 2024 Mar 01.
Article in En | MEDLINE | ID: mdl-37976443
ABSTRACT

PURPOSE:

We extended the Breast Cancer Surveillance Consortium (BCSC) version 2 (v2) model of invasive breast cancer risk to include BMI, extended family history of breast cancer, and age at first live birth (version 3 [v3]) to better inform appropriate breast cancer prevention therapies and risk-based screening.

METHODS:

We used Cox proportional hazards regression to estimate the age- and race- and ethnicity-specific relative hazards for family history of breast cancer, breast density, history of benign breast biopsy, BMI, and age at first live birth for invasive breast cancer in the BCSC cohort. We evaluated calibration using the ratio of expected-to-observed (E/O) invasive breast cancers in the cohort and discrimination using the area under the receiver operating characteristic curve (AUROC).

RESULTS:

We analyzed data from 1,455,493 women age 35-79 years without a history of breast cancer. During a mean follow-up of 7.3 years, 30,266 women were diagnosed with invasive breast cancer. The BCSC v3 model had an E/O of 1.03 (95% CI, 1.01 to 1.04) and an AUROC of 0.646 for 5-year risk. Compared with the v2 model, discrimination of the v3 model improved most in Asian, White, and Black women. Among women with a BMI of 30.0-34.9 kg/m2, the true-positive rate in women with an estimated 5-year risk of 3% or higher increased from 10.0% (v2) to 19.8% (v3) and the improvement was greater among women with a BMI of ≥35 kg/m2 (7.6%-19.8%).

CONCLUSION:

The BCSC v3 model updates an already well-calibrated and validated breast cancer risk assessment tool to include additional important risk factors. The inclusion of BMI was associated with the largest improvement in estimated risk for individual women.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: J Clin Oncol Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Limits: Adult / Aged / Female / Humans / Middle aged Language: En Journal: J Clin Oncol Year: 2024 Document type: Article