Investigate interactive roles of environmental, behavioral and genetic factors on racial disparities in breast cancer outcomes

研究环境、行为和遗传因素对乳腺癌结果种族差异的交互作用

• 批准号: 10655049
• 负责人: Yaguang Xi
• 金额: $ 11.03万
• 依托单位: LSU HEALTH SCIENCES CENTER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10655049
• 关键词: Address; Administrative Supplement; African American; Age; All of Us Research Program; Behavior; Behavioral; Behavioral Genetics; Biological Markers; Biomedical Research; Body mass index; Breast Cancer Patient; Caregivers; Characteristics; Communities; Complex; Computer software; Consensus; Data; Data Set; Databases; Death Rate; Electronic Health Record; Environment; Environmental Risk Factor; Ethnic Origin; Etiology; Gene Expression; Genetic; Genetic Databases; Genetic Predisposition to Disease; Health; Health Disparities Research; Healthcare; Hispanic Populations; Incidence; Individual; Internet; Intervention; Knowledge; Link; Malignant Neoplasms; Measurement; Measures; Mediation; Methodology; Methods; Modeling; Outcome; Participant; Patients; Physical activity; Play; Pollution; Provider; Public Health; Quality of life; Race; Recurrence; Reduce health disparities; Registries; Reporting; Research; Research Personnel; Risk Factors; Role; Smoking Behavior; Statistical Methods; Surveys; Testing; The Cancer Genome Atlas; United States; Vital Status; Woman; analytical tool; application programming interface; breast cancer progression; cancer health disparity; data registry; demographics; design; disparity reduction; epidemiology study; follow-up; genetic information; health data; health disparity; health related quality of life; improved; malignant breast neoplasm; neoplasm registry; novel; personalized medicine; precision medicine; racial and ethnic disparities; racial disparity; risk variant; social determinants; treatment risk; treatment strategy; triple-negative invasive breast carcinoma; tumor; tumor progression

Project Summary: Health disparities exist widely in the breast cancer outcomes (incidence, survival, and quality-of-life). When compared with white women, African American women have higher recurrence and death rates from breast cancer although they have a lower incidence rate. It is well established that both community and individual level risk factors play important roles in breast cancer outcomes. In our previous studies, we have developed a mediation analysis method to identify new biomarkers that contribute to health disparities in triple-negative breast cancer (TNBC). We also developed a new multilevel mediation analysis method that allows for longitudinal assessments of both residential environments and individual risk factors to be jointly utilized in determining the mechanistic link between race and health outcomes. By including measures of individual and environmental factors, our methods are capable of explaining existing disparities in health outcomes.In this project, we aim to utilize the comprehensive database collected by the All of Us project to investigate the observed racial disparities in breast cancer outcomes. Using the novel multilevel mediation analysis method, we will identify modifiable factors that can explain the racial disparities observed in breast cancer outcomes. The risk factors to be considered include measures at both the environmental (e.g. pollution measurements) and individual levels (e.g., smoking behavior and gene expressions). The information will help caregivers design precision medicine and policymakers evaluate interventions that aim at improving treatment and reducing health disparities. We have implemented our method as an R package (mlma) to provide the research community with open access to software for performing multilevel mediation analysis. We plan to further develop an API for an interactive web implementation of the software so that all researchers can use the method without the programming requirement.

项目概要： 乳腺癌结果（发病率、生存率和生活质量）广泛存在健康差异。什么时候 与白人女性相比，非洲裔美国女性乳腺癌复发率和死亡率更高 癌症，尽管它们的发病率较低。众所周知，社区和个人层面 危险因素在乳腺癌结果中发挥着重要作用。在我们之前的研究中，我们开发了一个 中介分析方法识别导致三阴性乳腺癌健康差异的新生物标志物 癌症（TNBC）。我们还开发了一种新的多层次中介分析方法，可以进行纵向分析 对居住环境和个人风险因素进行评估，共同确定 种族与健康结果之间的机械联系。通过包括个人和环境的措施 因素，我们的方法能够解释健康结果中现有的差异。在这个项目中，我们的目标是 利用“我们所有人”项目收集的综合数据库来调查观察到的种族差异 乳腺癌的结果。使用新颖的多级中介分析方法，我们将识别可修改的 可以解释乳腺癌结果中观察到的种族差异的因素。应考虑的危险因素 考虑的措施包括环境（例如污染测量）和个人层面（例如 吸烟行为和基因表达）。这些信息将帮助护理人员设计精准医疗和 政策制定者评估旨在改善治疗和减少健康差距的干预措施。我们有 将我们的方法实现为 R 包 (mlma)，为研究社区提供开放访问 用于执行多级中介分析的软件。我们计划进一步开发交互式网络的 API 实施该软件，以便所有研究人员无需编程即可使用该方法。