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Title: Circulating growth factor concentrations and breast cancer risk: a nested case-control study of IGF-1, IGFBP-3, and breast cancer in a family-based cohort.

Authors: Monson, Kelsey R; Goldberg, Mandy; Wu, Hui-Chen; Santella, Regina M; Chung, Wendy K; Terry, Mary Beth

Published In Breast Cancer Res, (2020 10 22)

Abstract: BACKGROUND: Insulin-like growth factor 1 (IGF-1) and binding protein 3 (IGFBP-3) are associated with breast cancer in women at average risk of cancer. Less is known whether these biomarkers also predict risk in women with breast cancer family history. METHODS: We conducted a nested case-control study within the New York site of the Breast Cancer Family Registry (BCFR, n = 80 cases, 156 controls), a cohort enriched for breast cancer family history. Using conditional logistic regression, we estimated the association between IGF-1 and IGFBP-3 levels and breast cancer risk and examined whether this risk differed by predicted absolute breast cancer risk based on pedigree models. RESULTS: The overall association between IGF-1 or IGFBP-3 elevation (≥ median in controls) and breast cancer risk was elevated, but not statistically significant (IGF-1 OR = 1.37, 95% CI = 0.66-2.85; IGFBP-3 OR = 1.62, 95% CI = 0.81-3.24). Women with elevated predicted absolute 10-year risk ≥ 3.4% and elevated IGFBP-3 (≥ median) had more than a 3-fold increased risk compared to women with lower predicted absolute 10-year risk (< 3.4%) and low IGFBP-3 (OR = 3.47 95% CI = 1.04-11.6). CONCLUSIONS: These data offer some support that the overall magnitude of the associations between IGF-1 and IGFBP3 seen in average risk cohorts may be similar in women enriched with a strong breast cancer family history.

PubMed ID: 33092613 Exiting the NIEHS site

MeSH Terms: Adult; Biomarkers, Tumor/blood*; Breast Neoplasms/blood; Breast Neoplasms/epidemiology*; Breast Neoplasms/genetics; Case-Control Studies; Cohort Studies; Female; Humans; Incidence; Insulin-Like Growth Factor Binding Protein 3/blood*; Insulin-Like Growth Factor I/analysis*; Logistic Models; Middle Aged; Risk Factors; United States/epidemiology

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