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.

项目摘要： 健康差异广泛存在于乳腺癌的结局（发病率，生存和生活质量）中。什么时候 与白人妇女相比，非裔美国妇女的乳房复发和死亡率更高 癌症尽管发病率较低。众所周知，社区和个人层面 危险因素在乳腺癌的结局中起着重要作用。在我们以前的研究中，我们已经开发了 调解分析方法识别新的生物标志物，这些新生物标志物导致三阴性乳房的健康差异 癌症（TNBC）。我们还开发了一种新的多级中介分析方法，该方法允许纵向 评估住宅环境和个人风险因素，共同利用 种族与健康成果之间的机械联系。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成果中现有的差异。在这个项目中，我们旨在 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 在乳腺癌的结局中。使用新型的多级中介分析方法，我们将确定可修改 可以解释乳腺癌预后观察到的种族差异的因素。风险因素是 考虑的包括环境（例如污染测量）和个体水平（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密医学和 决策者评估旨在改善治疗和减少健康差异的干预措施。我们有 将我们的方法作为R包（MLMA）实施，以使研究社区开放访问 用于执行多级中介分析的软件。我们计划进一步开发互动网络的API 该软件的实施，以便所有研究人员都可以在没有编程要求的情况下使用该方法。