Mammographic density and molecular subtypes of breast cancer

被引:24
作者
Eriksson, L. [1 ]
Hall, P. [1 ]
Czene, K. [1 ]
Silva, I. dos Santos [2 ]
McCormack, V. [2 ,3 ]
Bergh, J. [4 ,5 ,6 ]
Bjohle, J. [4 ,5 ]
Ploner, A. [1 ]
机构
[1] Karolinska Inst, Dept Med Epidemiol & Biostat, S-17177 Stockholm, Sweden
[2] London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London WC1E 7HT, England
[3] Int Agcy Res Canc, Sect Environm & Radiat, F-69372 Lyon, France
[4] Karolinska Inst, Canc Ctr Karolinska, S-17176 Stockholm, Sweden
[5] Univ Hosp, S-17176 Stockholm, Sweden
[6] Univ Manchester, Manchester M20 4BX, Lancs, England
基金
瑞典研究理事会;
关键词
breast cancer; mammographic density; molecular subtypes; RISK; WOMEN; DETERMINANTS; PERCENTAGE; SIGNATURE; PATTERNS; THERAPY; AREA;
D O I
10.1038/bjc.2012.234
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BACKGROUND: Gene expression profiling has led to a subclassification of breast cancers independent of established clinical parameters, such as the Sorlie-Perou subtypes. Mammographic density (MD) is one of the strongest risk factors for breast cancer, but it is unknown if MD is associated with molecular subtypes of this carcinoma. METHODS: We investigated whether MD was associated with breast cancer subtypes in 110 women with breast cancer, operated in Stockholm, Sweden, during 1994 to 1996. Subtypes were defined using expression data from HGU133A+B chips. The MD of the unaffected breast was measured using the Cumulus software. We used multinomial logistic models to investigate the relationship between MD and Sorlie-Perou subtypes. RESULTS: Although the distribution of molecular subtypes differed in women with high vs low MD, this was statistically non-significant (P = 0.249), and further analyses revealed no association between the MD and Sorlie-Perou subtypes as a whole, nor with individual subtypes. CONCLUSION: These findings suggest that although MD is one of the strongest risk factors for breast cancer, it does not seem to be differentially associated with breast cancer molecular subtypes. However, larger studies with more comprehensive covariate information are needed to confirm these results. British Journal of Cancer (2012) 107, 18-23. doi:10.1038/bjc.2012.234 www.bjcancer.com Published online 29 May 2012 (C) 2012 Cancer Research UK
引用
收藏
页码:18 / 23
页数:6
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