Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm 171 77, Sweden.
Br J Cancer. 2012 Jun 26;107(1):18-23. doi: 10.1038/bjc.2012.234. Epub 2012 May 29.
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.
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.
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.
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.
基因表达谱分析导致了乳腺癌的亚分类,这种分类独立于已建立的临床参数,例如 Sorlie-Perou 亚型。乳腺密度(MD)是乳腺癌的最强危险因素之一,但尚不清楚 MD 是否与这种癌的分子亚型有关。
我们研究了 110 名在瑞典斯德哥尔摩于 1994 年至 1996 年期间接受手术的乳腺癌女性的 MD 是否与乳腺癌亚型有关。使用 HGU133A+B 芯片的表达数据定义了亚型。使用 Cumulus 软件测量未受影响乳房的 MD。我们使用多项逻辑回归模型来研究 MD 与 Sorlie-Perou 亚型之间的关系。
尽管高 MD 与低 MD 的女性之间的分子亚型分布不同,但这在统计学上无显著性差异(P=0.249),进一步的分析表明 MD 与 Sorlie-Perou 亚型整体之间没有关联,也与个别亚型没有关联。
这些发现表明,尽管 MD 是乳腺癌的最强危险因素之一,但它似乎与乳腺癌的分子亚型没有差异相关。然而,需要更大的研究并结合更全面的协变量信息来证实这些结果。