Abstract P6-09-04: Benign breast disease and breast cancer risk across the spectrum of familial risk using a prospective family study cohort (ProF-SC)

585 Background: Although breast cancers categorized by estrogen receptor (ER) and progesterone receptor (PR) status are recognized to differ in their associations with standard breast cancer risk factors, little data exist on differences by HER2/neu status. Methods: The Nurses’ Health Study is a prospective cohort study of 121,700 registered nurses aged 30–55 in 1976 who answered biennial questionnaires to update medical and lifestyle factors and disease occurrence. Medical record review was used to confirm invasive breast cancer and abstract ER, PR, and HER2/neu status. Statistical analyses included both proportional hazards models to estimate relative risks and control for potential confounders and polytomous logistic regression to compare the effects. Only cases diagnosed from return of the 1998 questionnaire until June 2002 were included in the analysis since HER2/neu was only routinely assessed beginning with the 1998 follow-up cycle. Results: 211 HER2/neu positive and 770 HER2/neu negative cases were included in the analysis. In this predominantly postmenopausal group aged 52–77 in 1998, HER2neu negative cancers were more likely to be ER+/PR+ (72%) and less likely to be ER-/PR- (11%) than HER2/neu positive ones (58% ER+/PR+ and 24% ER-/PR-), but the majority of cancers were still ER+/PR+. In multivariate models, risk factor associations by HER2/neu status were similar with positive associations seen for family history, benign breast disease, body mass index, current postmenopausal hormone use, and cumulative alcohol consumption. However, when the subgroup of ER-/PR-/HER2/neu negative cancers were evaluated separately (N=83), most of these risk factor associations disappeared with the only significant risk factor being a prior history of benign breast disease. Conclusions: This is the first prospective data study to report on risk factor association by HER2/neu status. For the standard epidemiologic breast cancer risk factors, ER and PR status appear to better represent separate etiologic pathways, rather than HER2/neu status. However, the subgroup of ER/PR/HER2neu negative breast cancers appears to be distinct, although power was limited and HER2/neu status was not confirmed by central review. Additional analyses stratified by ER/PR status will also be presented. No significant financial relationships to disclose.

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The influence of family history and histological stratification on breast cancer risk in women with benign breast disease: a meta-analysis

Journal of Cancer Research and Clinical Oncology ◽

10.1007/s00432-011-0979-z ◽

2011 ◽

Vol 137 (7) ◽

pp. 1053-1060 ◽

Cited By ~ 31

Author(s):

Wen-Bin Zhou ◽

Dan-Qing Xue ◽

Xiao-An Liu ◽

Qiang Ding ◽

Shui Wang

Keyword(s):

Breast Cancer ◽

Family History ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Benign Breast Disease ◽

Meta Analysis ◽

Breast Disease

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Immunohistochemical Detection of c-erbB-2 and p53 in Benign Breast Disease and Breast Cancer Risk

JNCI Journal of the National Cancer Institute ◽

10.1093/jnci/90.17.1262 ◽

1998 ◽

Vol 90 (17) ◽

pp. 1262-1269 ◽

Cited By ~ 72

Author(s):

Thomas E. Rohan ◽

Warren Hartwick ◽

Anthony B. Miller ◽

Rita A. Kandel

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Benign Breast Disease ◽

Breast Disease ◽

Immunohistochemical Detection

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673Is weight more informative than body mass index for breast cancer risk

International Journal of Epidemiology ◽

10.1093/ije/dyab168.734 ◽

2021 ◽

Vol 50 (Supplement_1) ◽

Author(s):

Zhoufeng Ye ◽

Gillian Dite ◽

John Hopper

Keyword(s):

Breast Cancer ◽

Body Mass Index ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Body Mass ◽

Cox Regression ◽

Menopausal Status ◽

Familial Risk ◽

Study Cohort ◽

Breast Cancers

Abstract Background Our previous work on body mass index (BMI) and breast cancer risk found that the association depended on menopausal status but not on familial risk (Hopper, JL., et al, 2018). We now consider whether weight is a more informative risk factor for breast cancer than BMI. Methods We used data from the Prospective Family Study Cohort, a consortium of international prospective cohorts that are enriched for familial risk of breast cancer and include 16,035 unaffected women from 6701 families. Participants were followed for up to 20 years (mean 10.5 years) and there were 896 incident breast cancers with a mean age at diagnosis of 55.7 years. Cox regression was used to model risk associations as a function of age, menopausal status and underlying familial risk. We calculated robust confidence intervals by clustering by family. Model comparisons were made using the Bayesian Information Criterion (BIC). Results In repeating the best-fitting model from our original analyses, but using weight instead of BMI, we found that the log likelihood for the model using weight was 1.92 units greater than for the model using BMI (difference in BIC = 3.84). Therefore, the data are almost 50 times more likely under the model using weight. Conclusions The study found positive evidence that weight gives more information on risk than does BMI. Key messages Analysing breast cancer risk in terms of weight, rather than only BMI, might give greater insight and results that are easier to convey to the public.

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