Abstract
Background Molecular characterization of breast cancer allows subtype-directed interventions. Estrogen receptor (ER) is the longest-established molecular marker. Methods We used six established population models with ER-specific input parameters on age-specific incidence, disease natural history, mammography characteristics, and treatment effects to quantify the impact of screening and adjuvant therapy on age-adjusted US breast cancer mortality by ER status from 1975 to 2000. Outcomes included stage-shifts and absolute and relative reductions in mortality; sensitivity analyses evaluated the impact of varying screening frequency or accuracy. Results In the year 2000, actual screening and adjuvant treatment reduced breast cancer mortality by a median of 17 per 100 000 women (model range = 13-21) and 5 per 100 000 women (model range = 3-6) for ER-positive and ER-negative cases, respectively, relative to no screening and no adjuvant treatment. For ER-positive cases, adjuvant treatment made a higher relative contribution to breast cancer mortality reduction than screening, whereas for ER-negative cases the relative contributions were similar for screening and adjuvant treatment. ER-negative cases were less likely to be screendetected than ER-positive cases (35.1% vs 51.2%), but when screen-detected yielded a greater survival gain (five-year breast cancer survival = 35.6% vs 30.7%). Screening biennially would have captured a lower proportion of mortality reduction than annual screening for ER-negative vs ER-positive cases (model range = 80.2%-87.8% vs 85.7%-96.5%). Conclusion As advances in risk assessment facilitate identification of women with increased risk of ER-negative breast cancer, additional mortality reductions could be realized through more frequent targeted screening, provided these benefits are balanced against screening harms.
Original language | English |
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Article number | dju289 |
Journal | Journal of the National Cancer Institute |
Volume | 106 |
Issue number | 11 |
DOIs | |
Publication status | Published - 1 Nov 2014 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author 2014.
Funding
This research was supported by grant number U01 CA152958 from the National Cancer Institute as part of the Cancer Intervention and Surveillance Modeling Network. Data were provided by the National Cancer Institute-funded Breast Cancer Surveillance Consortium (HHSN261 201100031C).
Funders | Funder number |
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National Cancer Institute | U01CA152958 |