1
|
A case-case analysis of women with breast cancer: predictors of interval vs screen-detected cancer. Breast Cancer Res Treat 2021; 191:623-629. [PMID: 34843026 DOI: 10.1007/s10549-021-06451-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 11/14/2021] [Indexed: 10/19/2022]
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 (1:2) 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.
Collapse
|
2
|
Huilgol YS, Keane H, Shieh Y, Hiatt RA, Tice JA, Madlensky L, Sabacan L, Fiscalini AS, Ziv E, Acerbi I, Che M, Anton-Culver H, Borowsky AD, Hunt S, Naeim A, Parker BA, van 't Veer LJ, Esserman LJ. Elevated risk thresholds predict endocrine risk-reducing medication use in the Athena screening registry. NPJ Breast Cancer 2021; 7:102. [PMID: 34344894 PMCID: PMC8333106 DOI: 10.1038/s41523-021-00306-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 06/24/2021] [Indexed: 11/09/2022] Open
Abstract
Risk-reducing endocrine therapy use, though the benefit is validated, is extremely low. The FDA has approved tamoxifen and raloxifene for a 5-year Breast Cancer Risk Assessment Tool (BCRAT) risk ≥ 1.67%. We examined the threshold at which high-risk women are likely to be using endocrine risk-reducing therapies among Athena Breast Health Network participants from 2011-2018. We identified high-risk women by a 5-year BCRAT risk ≥ 1.67% and those in the top 10% and 2.5% risk thresholds by age. We estimated the odds ratio (OR) of current medication use based on these thresholds using logistic regression. One thousand two hundred and one (1.2%) of 104,223 total participants used medication. Of the 33,082 participants with 5-year BCRAT risk ≥ 1.67%, 772 (2.3%) used medication. Of 2445 in the top 2.5% threshold, 209 (8.6%) used medication. Participants whose 5-year risk exceeded 1.67% were more likely to use medication than those whose risk was below this threshold, OR 3.94 (95% CI = 3.50-4.43). The top 2.5% was most strongly associated with medication usage, OR 9.50 (8.13-11.09) compared to the bottom 97.5%. Women exceeding a 5-year BCRAT ≥ 1.67% had modest medication use. We demonstrate that women in the top 2.5% have higher odds of medication use than those in the bottom 97.5% and compared to a risk of 1.67%. The top 2.5% threshold would more effectively target medication use and is being tested prospectively in a randomized control clinical trial.
Collapse
Affiliation(s)
- Yash S Huilgol
- University of California, San Francisco, San Francisco, CA, USA
- University of California, Berkeley, Berkeley, CA, USA
| | - Holly Keane
- University of California, San Francisco, San Francisco, CA, USA
- Peter MacCallum Cancer Centre, Melbourne, Melbourne, VIC, Australia
| | - Yiwey Shieh
- University of California, San Francisco, San Francisco, CA, USA
| | - Robert A Hiatt
- University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey A Tice
- University of California, San Francisco, San Francisco, CA, USA
| | | | - Leah Sabacan
- University of California, San Francisco, San Francisco, CA, USA
| | | | - Elad Ziv
- University of California, San Francisco, San Francisco, CA, USA
| | - Irene Acerbi
- University of California, San Francisco, San Francisco, CA, USA
| | - Mandy Che
- University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | - Arash Naeim
- University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | - Laura J Esserman
- University of California, San Francisco, San Francisco, CA, USA.
| |
Collapse
|