Understanding determinants of racial disparities in lung cancer incidence

了解肺癌发病率种族差异的决定因素

• 批准号: 9885359
• 负责人: Melinda Aldrich
• 金额: $ 76.82万
• 依托单位: VANDERBILT UNIVERSITY MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-07 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9885359
• 关键词: Address; African American; Automobile Driving; Behavioral; Bioinformatics; Biological; Biological Assay; Biometry; Body mass index; California; Cancer Etiology; Case-Control Studies; Cellular biology; Clinical; Cohort Studies; Collaborations; Communities; Complex; DNA; Data; Diagnosis; Disease; Environmental Exposure; Ethnic group; Etiology; European; Fostering; Gene Expression; Genes; Genetic; Genetic Determinism; Genetic Predisposition to Disease; Genetic Risk; Geographic Locations; Geography; Goals; Health; Health behavior; Histology; Human Genetics; In Vitro; Incidence; Individual; Institutes; Intervention; Investigation; Joints; Knowledge; Lead; Lung diseases; Malignant Neoplasms; Malignant neoplasm of lung; Mission; Molecular Epidemiology; National Cancer Institute; Neighborhoods; Pathway interactions; Patients; Play; Policies; Population; Population Study; Predisposition; Prevention strategy; Race; Recommendation; Risk; Risk Factors; Risk Reduction; Rural; San Francisco; Smoker; Smoking; Socioeconomic Status; Structure; Tobacco smoking behavior; Tobacco use; Translating; Universities; Ursidae Family; Validation; Work; behavioral health; cancer epidemiology; cancer health disparity; cancer risk; case control; cigarette smoke; design; disorder risk; disparity reduction; experience; health disparity; high risk; improved; innovation; insight; interdisciplinary approach; light intensity; lung cancer prevention; men; minority health; multidisciplinary; neighborhood disadvantage; novel; polygenic risk score; precision medicine; predictive modeling; prospective; racial and ethnic; racial difference; racial disparity; recruit; segregation; sex; social; social determinants; social health determinants; sociodemographics; study population; transcriptome

PROJECT SUMMARY/ABSTRACT Striking racial disparities in lung cancer are well-documented, with African Americans bearing a greater burden of lung cancer than other U.S. racial/ethnic groups. While smoking is a key established risk factor, biologic susceptibility and other health determinants influence lung cancer risk. Population-based studies in African Americans to understand risk factors for lung cancer have been limited and as a result little is known about the mechanisms that cause racial disparities in lung cancer. We hypothesize racial disparities in lung cancer incidence are multifaceted and a function of the interplay between biologic vulnerability and multilevel health determinants. To address gaps in knowledge of the complex mechanisms of racial disparities in lung cancer incidence, we propose to assess biologic vulnerability and the multilevel etiology of lung cancer incidence with the following specific aims: 1) identify novel genes and biologic pathways which may underlie racial disparities in lung cancer incidence and 2) quantify and build a profile of determinants (genetics, behavioral, social, and environmental) contributing to racial disparities in lung cancer incidence. We propose a case-control study of lung cancer (~5,300 lung cancer cases and ~8,100 controls, slightly over half African American) recruited from four geographic regions across the U.S. Our design first focuses on new pioneering predicted gene expression approaches, functional interpretation via bioinformatics annotation, and robust functional validation in an independent population to identify regulatory biologic mechanisms involved in lung cancer incidence and translate genetic findings into an interpretable biologic context. Our project then examines how neighborhoods, which can structure racial disparities geographically, (e.g., residential segregation) along with individual-level behavioral, health, and social determinants (e.g., smoking, pulmonary disease, socioeconomic status) can influence biologic pathways to lead to racial disparities in lung cancer incidence. This project is relevant to the mission of the National Institute of Minority Health and Health Disparities since it examines the contribution of multi-level factors driving racial disparities in lung cancer incidence among a health disparity population (African Americans). Our project fosters innovative collaborations among a multidisciplinary team with extensive expertise in racial disparities, lung cancer epidemiology, social determinants of health, biostatistics, cell biology, human genetics, and bioinformatics. A key innovative aspect of this proposal is its partnership with a Community Advisory Board to move empirical findings into recommendations for lung cancer prevention. Findings from our multidisciplinary approach will have sustained impact since it will reveal biologic pathways for precision medicine opportunities and motivate improved preventive strategies for risk and disparities reductions.

项目摘要/摘要 肺癌的惊人种族差异是有据可查的，非洲裔美国人的负担更大 肺癌的发病率高于美国其他种族/民族。虽然吸烟是一个关键的既定风险因素， 易感性和其他健康决定因素影响肺癌风险。非洲人口研究 美国人对肺癌的危险因素了解有限，因此对肺癌的发病机制知之甚少。 导致肺癌的种族差异的机制。我们假设肺癌的种族差异 发病率是多方面的，是生物脆弱性和多层次健康之间相互作用的函数 决定因素解决肺癌种族差异复杂机制的知识空白 我们建议评估生物脆弱性和肺癌发病率的多层次病因， 具体目标如下：1）确定可能导致种族差异的新基因和生物学途径 在肺癌发病率和2）量化和建立一个档案的决定因素（遗传学，行为，社会， 环境）导致肺癌发病率的种族差异。我们提出了一个病例对照研究， 肺癌（约5，300例肺癌病例和约8，100例对照，略高于一半的非裔美国人）， 我们的设计首先集中在新的开创性预测基因表达 方法，通过生物信息学注释的功能解释，以及在一个 独立的人群，以确定参与肺癌发病率的调节生物学机制， 将遗传学发现转化为可解释的生物学背景。我们的项目然后研究如何邻里， 这可以在地理上构成种族差异，（例如，居住隔离）沿着个人层面 行为、健康和社会决定因素（例如，吸烟、肺病、社会经济地位）可以 影响生物学途径导致肺癌发病率的种族差异。该项目与 国家少数民族健康和健康差异研究所的使命，因为它审查了 多层次因素驱动健康差异人群中肺癌发病率的种族差异（非洲 美国人）。我们的项目促进了多学科团队之间的创新合作， 在种族差异，肺癌流行病学，健康的社会决定因素，生物统计学，细胞生物学， 人类遗传学和生物信息学。该提案的一个关键创新方面是与社区的伙伴关系 咨询委员会将实证研究结果转化为肺癌预防的建议。我们的调查结果 多学科方法将产生持续的影响，因为它将揭示精确医学的生物途径 机会和激励改进预防战略，以减少风险和差距。