scholarly journals Family history of breast cancer and all-cause mortality after breast cancer diagnosis in the Breast Cancer Family Registry

2008 ◽  
Vol 117 (1) ◽  
pp. 167-176 ◽  
Author(s):  
Ellen T. Chang ◽  
Roger L. Milne ◽  
Kelly-Anne Phillips ◽  
Jane C. Figueiredo ◽  
Meera Sangaramoorthy ◽  
...  
1988 ◽  
Vol 11 (3) ◽  
pp. 263-267 ◽  
Author(s):  
Henry T. Lynch ◽  
Patrice Watson ◽  
Theresa Conway ◽  
Mary Lee Fitzsimmons ◽  
Jane Lynch

The Breast ◽  
1997 ◽  
Vol 6 (4) ◽  
pp. 253-254
Author(s):  
P. Hopwood ◽  
F. Keeling ◽  
J. Thompson ◽  
C. Pool ◽  
A. Howell ◽  
...  

2020 ◽  
Vol 29 (4) ◽  
pp. 662-673 ◽  
Author(s):  
Lucas A Salas ◽  
Sara N Lundgren ◽  
Eva P Browne ◽  
Elizabeth C Punska ◽  
Douglas L Anderton ◽  
...  

Abstract Prior candidate gene studies have shown tumor suppressor DNA methylation in breast milk related with history of breast biopsy, an established risk factor for breast cancer. To further establish the utility of breast milk as a tissue-specific biospecimen for investigations of breast carcinogenesis, we measured genome-wide DNA methylation in breast milk from women with and without a diagnosis of breast cancer in two independent cohorts. DNA methylation was assessed using Illumina HumanMethylation450k in 87 breast milk samples. Through an epigenome-wide association study we explored CpG sites associated with a breast cancer diagnosis in the prospectively collected milk samples from the breast that would develop cancer compared with women without a diagnosis of breast cancer using linear mixed effects models adjusted for history of breast biopsy, age, RefFreeCellMix cell estimates, time of delivery, array chip and subject as random effect. We identified 58 differentially methylated CpG sites associated with a subsequent breast cancer diagnosis (q-value <0.05). Nearly all CpG sites associated with a breast cancer diagnosis were hypomethylated in cases compared with controls and were enriched for CpG islands. In addition, inferred repeat element methylation was lower in breast milk DNA from cases compared to controls, and cases exhibited increased estimated epigenetic mitotic tick rate as well as DNA methylation age compared with controls. Breast milk has utility as a biospecimen for prospective assessment of disease risk, for understanding the underlying molecular basis of breast cancer risk factors and improving primary and secondary prevention of breast cancer.


2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Kelsey R. Monson ◽  
Mandy Goldberg ◽  
Hui-Chen Wu ◽  
Regina M. Santella ◽  
Wendy K. Chung ◽  
...  

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.


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