眾所周知，通過乳房X線照片所看到的高比例密集的乳房組織與乳腺癌高風(fēng)險(xiǎn)性相關(guān),。但是,，乳房中非密集脂肪組織的作用還不清楚。發(fā)表在生物醫(yī)學(xué)中心（BMC, BioMed Central）公開出版期刊《乳腺癌研究》（Breast Cancer Research ）上的新研究分析了密集（乳腺纖維腺體組織）和脂肪組織與乳腺癌風(fēng)險(xiǎn)性的關(guān)系,，結(jié)果表明大面積密集與非密集組織分別與增高的風(fēng)險(xiǎn)性相關(guān),。
患乳腺癌絕經(jīng)后女性的乳房X線照片與無癌的對照組相比較。該研究用精密計(jì)算機(jī)軟件讀片以減少人讀片誤差（或直覺誤差）,。軟件只比較密集與非密集組織,，不尋找特殊的不規(guī)則組織。
年長女性與高體重指數(shù)女性有更高比例的非密度組織,，這不奇怪,。患乳腺癌的女性趨向于有大面積密集組織和大面積非密集組織,，以至于密集與非密集都有大面積的女性有最大的風(fēng)險(xiǎn)性,。但是，這不一定反射在乳房尺寸上,，因?yàn)轱L(fēng)險(xiǎn)性與脂肪相關(guān),，縱然重要，還是低于與乳腺纖維腺體組織相關(guān)的風(fēng)險(xiǎn)性,。因此,，具有更少量密集組織的女性的風(fēng)險(xiǎn)性低于有更多密集型組織的同乳房尺寸女性。
烏得勒支大學(xué)醫(yī)學(xué)中心的Carla van Gils博士主持此研究,，他說："大家知道,，脂肪組織生產(chǎn)類似于雌激素的激素,，這些激素被公認(rèn)為促進(jìn)ER陽性癌癥生長。但是,，這里指的是局部脂肪組織對乳腺癌風(fēng)險(xiǎn)性重要,，而不是一般的體脂肪（即用BMI測量的脂肪組織）。因此,，當(dāng)評價(jià)乳腺癌風(fēng)險(xiǎn)性時(shí),，考慮兩種類型組織是很重要的。"（生物谷bioon.com)
doi:10.1186/bcr3044
PMC:
PMID:
Mammographic density and breast cancer risk: the role of the fat surrounding the fibroglandulartissue.
Lokate M, Peeters PH, Peelen LM, Haars G, Veldhuis WB, van Gils CH.
Abstract ABSTRACT: INTRODUCTION: Both percent mammographic density and absolute dense (fibroglandular) area are strong breast cancer risk factors. The role of non-dense (fat) breast tissue is not often investigated, but we hypothesize that this also influences risk. In this study we investigated the independent effects of dense and fat tissue, as well as their combined effect on postmenopausal breast cancer risk. METHODS: We performed a nested case-control study within the EPIC-NL cohort (358 postmenopausal breast cancer cases and 859 postmenopausal controls). We used multivariate logistic regression analyses to estimate breast cancer odds ratios adjusted for body mass index and other breast cancer risk factors. RESULTS: Large areas of dense (upper (Q5) vs lower quintile (Q1): OR 2.8 95% CI 1.7-4.8) and fat tissue (Q5 vs Q1: OR 2.4; 95%CI 1.3-4.2) were independently associated with higher breast cancer risk. The combined measure showed that the highest risk was found in women with both a large (above median) area of dense and fat tissue. CONCLUSIONS: Fibroglandular and breast fat tissue have independent effects on breast cancer risk. The results indicate that the non-dense tissue, which represents the local breast fat, increases risk, even independent of BMI. When studying dense breast tissue in relation to breast cancer risk, adjustment for non-dense tissue seems to change risk estimates to a larger extent than adjustment for BMI. This indicates that adjustment for non-dense tissue should be considered when studying associations between dense area and breast cancer risk.
