scholarly journals Risk prediction models with incomplete data with application to prediction of estrogen receptor-positive breast cancer: prospective data from the Nurses' Health Study

2008 ◽  
Vol 10 (4) ◽  
Author(s):  
Bernard Rosner ◽  
Graham A Colditz ◽  
J Dirk Iglehart ◽  
Susan E Hankinson
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Risk Prediction ◽  
Incomplete Data ◽  
Prediction Models ◽  
Health Study ◽  
Prospective Data ◽  
Risk Prediction Models ◽  
Estrogen Receptor Positive ◽  
Positive Breast Cancer

A Validated Risk Prediction Model for Breast Cancer in US Black Women

2021 ◽  
Author(s):  
Julie R. Palmer ◽  
Gary Zirpoli ◽  
Kimberly A. Bertrand ◽  
Tracy Battaglia ◽  
Leslie Bernstein ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Black Women ◽  
Prediction Model ◽  
Risk Prediction ◽  
Prediction Models ◽  
Risk Prediction Model ◽  
Risk Prediction Models ◽  
Relative Risks ◽  
Discriminatory Accuracy

PURPOSE Breast cancer risk prediction models are used to identify high-risk women for early detection, targeted interventions, and enrollment into prevention trials. We sought to develop and evaluate a risk prediction model for breast cancer in US Black women, suitable for use in primary care settings. METHODS Breast cancer relative risks and attributable risks were estimated using data from Black women in three US population-based case-control studies (3,468 breast cancer cases; 3,578 controls age 30-69 years) and combined with SEER age- and race-specific incidence rates, with incorporation of competing mortality, to develop an absolute risk model. The model was validated in prospective data among 51,798 participants of the Black Women's Health Study, including 1,515 who developed invasive breast cancer. A second risk prediction model was developed on the basis of estrogen receptor (ER)–specific relative risks and attributable risks. Model performance was assessed by calibration (expected/observed cases) and discriminatory accuracy (C-statistic). RESULTS The expected/observed ratio was 1.01 (95% CI, 0.95 to 1.07). Age-adjusted C-statistics were 0.58 (95% CI, 0.56 to 0.59) overall and 0.63 (95% CI, 0.58 to 0.68) among women younger than 40 years. These measures were almost identical in the model based on estrogen receptor–specific relative risks and attributable risks. CONCLUSION Discriminatory accuracy of the new model was similar to that of the most frequently used questionnaire-based breast cancer risk prediction models in White women, suggesting that effective risk stratification for Black women is now possible. This model may be especially valuable for risk stratification of young Black women, who are below the ages at which breast cancer screening is typically begun.

scholarly journals Toronto Workshop on Late Recurrence in Estrogen Receptor–Positive Breast Cancer: Part 1: Late Recurrence: Current Understanding, Clinical Considerations

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Ryan J O Dowling ◽  
Kevin Kalinsky ◽  
Daniel F Hayes ◽  
Francois-Clement Bidard ◽  
David W Cescon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
International Workshop ◽  
Recurrence Risk ◽  
Late Recurrence ◽  
Current Understanding ◽  
Breast Cancer Patients ◽  
Related Factors ◽  
Estrogen Receptor Positive ◽  
Positive Breast Cancer

Abstract Disease recurrence (locoregional, distant) exerts a significant clinical impact on the survival of estrogen receptor–positive breast cancer patients. Many of these recurrences occur late, more than 5 years after original diagnosis, and represent a major obstacle to the effective treatment of this disease. Indeed, methods to identify patients at risk of late recurrence and therapeutic strategies designed to avert or treat these recurrences are lacking. Therefore, an international workshop was convened in Toronto, Canada, in February 2018 to review the current understanding of late recurrence and to identify critical issues that require future study. In this article, the major issues surrounding late recurrence are defined and current approaches that may be applicable to this challenge are discussed. Specifically, diagnostic tests with potential utility in late-recurrence prediction are described as well as a variety of patient-related factors that may influence recurrence risk. Clinical and therapeutic approaches are also reviewed, with a focus on patient surveillance and the implementation of extended endocrine therapy in the context of late-recurrence prevention. Understanding and treating late recurrence in estrogen receptor–positive breast cancer is a major unmet clinical need. A concerted effort of basic and clinical research is required to confront late recurrence and improve disease management and patient survival.

Late Recurrences After Estrogen Receptor–Positive Breast Cancer

JAMA Oncology ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. 301
Author(s):  
Steven A. Narod ◽  
Vasily Giannakeas ◽  
Victoria Sopik
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Estrogen Receptor Positive ◽  
Positive Breast Cancer

Decreased nocturnal plasma melatonin peak in patients with estrogen receptor positive breast cancer

Science ◽  
1982 ◽  
Vol 216 (4549) ◽  
pp. 1003-1005 ◽  
Author(s):  
L Tamarkin ◽  
D Danforth ◽  
A Lichter ◽  
E DeMoss ◽  
M Cohen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Plasma Melatonin ◽  
Estrogen Receptor Positive ◽  
Positive Breast Cancer
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