A pooled analysis of mammographic density and breast cancer risk

乳房X光密度和乳腺癌风险的汇总分析

基本信息

批准号：
7660546
负责人：
GERTRAUD MASKARINEC
金额：
$ 7.88万
依托单位：
UNIVERSITY OF HAWAII AT MANOA
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-03-01 至 2011-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7660546
关键词：
Address Adipose tissue Affect African American Appearance Area Asians Body Weight Body mass index Breast Breast Cancer Prevention Case-Control Studies Categories Caucasians Caucasoid Race Classification Scheme Collaborations Data Databases Epidemiologic Studies Epithelial Ethnic Origin Future Genetic Goals Grant Heterogeneity Hormonal Image Intention Intervention Studies Investigation Knowledge Light Linear Models Location Logistic Regressions Mammographic Density Mammography Meta-Analysis Methods Modification Obesity Pathologic Pathway interactions Pattern Population Population Study Procedures Publishing Reader Reading Research Research Personnel Risk Estimate Source Staging Subgroup Technology Thick Time Tissues Variant Woman anticancer research base breast density cancer epidemiology cancer risk density experience high risk innovation interest malignant breast neoplasm reproductive working group

项目摘要

DESCRIPTION (provided by applicant): Breast density as assessed in mammographic images is a strong predictor of breast cancer risk, but the strength of the association may differ with body weight. It is important to understand these sources of heterogeneity when breast density is used as an intermediate endpoint in intervention studies and as a predictor of individualized breast cancer risk. The proposed project makes use of existing data from previous case-control studies on mammographic density and breast cancer risk. The specific aims of the proposed project are to examine breast cancer risk associated with mammographic density across levels of body mass index (BMI) and breast size; to elucidate methodologic issues in comparing mammographic images that were obtained from different locations and using different technologies; and to initiate a working group to collaborate on studies of mammographic densities. This project will combine data from four case-control studies on mammographic densities. The total number of subjects will be 4,229 with 1,747 cases and 2,482 controls with an ethnic distribution of 45% Caucasian, 38% Asian, 8% African- American, and 9% Others and a wide variation in BMI and breast size. The data base will be based on a common format for all variables of interest, breast cancer status and stage, breast density as percent and as absolute density, anthropometric, and reproductive variables. One mammogram for each subject will be assessed by one reader to assure the comparability of density readings across studies using a quantitative assessment method. We will apply general linear models to compare the previous density readings obtained through different methods with the new standardized readings. Breast cancer risk associated with percent density for different levels of BMI and breast size will be estimated using the SUDAAN logistic regression procedure and adjusting for confounders. The investigators will plan collaborative studies and consider the possibility of inviting additional researchers to contribute their mammographic data for future innovative investigations of mammographic density. This project will provide new information on how body weight affects breast cancer risk related to breast density. These findings will be useful for breast cancer risk estimation and breast cancer prevention.

描述（由申请人提供）：乳腺X线摄影图中评估的乳房密度是乳腺癌风险的有力预测指标，但关联的强度可能随体重而有所不同。当将乳房密度用作干预研究中的中间点并预测个性化乳腺癌风险时，了解这些异质性的这些异质性很重要。拟议的项目利用了先前有关乳腺X线摄影密度和乳腺癌风险的病例对照研究的现有数据。拟议项目的具体目的是检查与体重指数水平（BMI）和乳房大小相关的乳腺癌风险；在比较从不同位置并使用不同技术获得的乳腺X线摄影图像时阐明方法论问题；并启动一个工作组以合作乳房X线摄影密度研究。该项目将结合四个有关乳房X线照相密度的病例对照研究的数据。受试者的总数将为4,229例，有1,747例病例和2,482例对照，族裔分布为45％的高加索人，38％的亚洲人，8％的非裔美国人和9％的其他人，其他人的BMI和乳房大小差异很大。数据库将基于对所有感兴趣，乳腺癌状态和阶段，乳房密度，百分比和绝对密度，人体测量和生殖变量的普通格式。一个读者将评估每个受试者的一个乳房X线照片，以确保使用定量评估方法在研究中的密度读数的可比性。我们将应用一般线性模型来比较通过不同方法获得的先前密度读数与新的标准化读数。乳腺癌的风险与不同水平的BMI和乳房大小相关的乳腺癌风险将使用Sudaan Logistic回归程序估算并针对混杂因素进行调整。研究人员将计划合作研究，并考虑邀请其他研究人员贡献其乳房X线照片数据的可能性，以对乳房X线照相密度进行未来的创新研究。该项目将提供有关体重如何影响与乳房密度相关的乳腺癌风险的新信息。这些发现对于乳腺癌风险估计和预防乳腺癌将很有用。