Mammographic Densities: In the Pathway to Breast Cancer?

乳房X光密度：导致乳腺癌的途径？

• 批准号: 6838870
• 负责人: KARIN A ROSENBLATT
• 金额: $ 7.47万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6838870
• 关键词: breast neoplasms; calcification; cancer risk; data collection methodology /evaluation; density; human data; mammary gland; mammography; mathematical model; statistics /biometry

DESCRIPTION (provided by applicant): Women with dense areas and calcifications, observed on mammograms, have a higher risk of breast cancer. High-risk breast density patterns and the percentage of the breast which is dense have been associated with factors related to the risk of breast cancer among women without breast cancer (age, menopausal status, age at first live birth, parity, body mass index, hormone replacement therapy, alcohol use, frequency of exercise, family history of breast cancer and others). We have the opportunity to investigate whether mammographic densities and calcifications are in the pathway by which these factors are related to breast cancer. A combined data set, from four studies performed in western Washington state, contains 547 breast cancer cases (ascertained from a SEER registry) and 472 controls (ascertained by random digit dialing). Initial mammograms performed, before age 50, on study subjects were evaluated by a reference radiologist by Wolfe's classification (for breast density), percent breast density, and characteristics of calcifications. Previous analyses from this study have shown associations between the aforementioned mammographic characteristics and breast cancer (Thomas et al., 2002). We intend to extend analysis of this data to determine whether controlling for these mammographic features alters the association which factors that have been associated with breast cancer (ex. parity) have with breast cancer. The extent of this alteration of association will be evaluated through multivariate logistic regression models and techniques previously used in clinical trials to assess the value of surrogate endpoints. In addition, nested models, utilizing path modeling and mediator analysis will be used to establish pathways by which these factors associated with breast cancer may cause breast cancer, considering the possible mediating effect of mammographic patterns.

描述（由申请人提供）： 在乳房X线照片上观察到的具有密集区域和钙化的妇女患乳腺癌的风险更高。高风险的乳房密度模式和密集的乳房百分比与没有乳腺癌的乳腺癌风险有关的因素（年龄，绝经状态，初生年龄，均等，体重指数，体重指数，荷尔蒙替代疗法，饮酒，饮酒，运动频率，运动频率，乳腺癌的家族病史，其他）。我们有机会研究这些因素与乳腺癌相关的途径是否处于乳腺X线摄影密度和钙化。从华盛顿州西部进行的四项研究中，一个组合的数据集包含547例乳腺癌病例（从SEER注册表中确定）和472个对照（通过随机数字拨号确定）。在50岁之前，对研究对象进行的初始乳房X线照片通过参考射线科医生通过Wolfe的分类（用于乳房密度），乳房密度百分比和钙化特征评估。这项研究的先前分析表明，上述乳腺X线摄影特征与乳腺癌之间的关联（Thomas等，2002）。我们打算扩展对这些数据的分析，以确定控制这些乳腺X线摄影特征是否改变了与乳腺癌相关的因素（Ex。Parity）与乳腺癌相关的因素。这种关联改变的程度将通过先前在临床试验中使用的多元逻辑回归模型和技术评估，以评估替代终点的价值。此外，考虑到乳腺癌可能会导致乳腺癌的这些因素可能导致乳腺癌，使用路径建模和介体分析将使用嵌套模型来建立途径。