The Impact of Genetic Ancestry on Racial Disparities in Hepatocellular Carcinoma Risk and Mortality
遗传血统对肝细胞癌风险和死亡率种族差异的影响
基本信息
- 批准号:10371567
- 负责人:
- 金额:$ 23.71万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-15 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:ARID1A geneAddressAdmixtureAdvanced Malignant NeoplasmAffectAfricanAsianAsian populationAwardBehavioralBiologicalBlack PopulationsBlack raceBreastCTNNB1 geneCancer EtiologyCase-Control StudiesCessation of lifeCharacteristicsCirrhosisClinical DataColonCultural DiversityDNA Sequence AlterationDataData AnalysesData SetDiagnosisDiseaseEducational workshopEnrollmentEuropeanFibrosisFinancial HardshipFloridaFoundationsFundingFutureGenesGeneticGenetic DeterminismGenetic VariationGenetic studyGenomeGenomicsGenotypeGoalsHaplotypesHepatobiliaryHispanicHispanic PopulationsIndividualInflammationInternshipsK-Series Research Career ProgramsKnowledgeLaboratoriesLeadLinkLiver diseasesMalignant NeoplasmsMalignant neoplasm of liverMentorsMentorshipMinorityModelingMutateNative American AncestryNative AmericansNot Hispanic or LatinoOutcomePanicParticipantPathway interactionsPatient-Focused OutcomesPatientsPerformancePersonsPhenotypePhysiciansPopulationPopulation HeterogeneityPrevalencePrimary Malignant Neoplasm of LiverPrimary carcinoma of the liver cellsPrognosisProspective cohortProstateRaceResearchResearch PersonnelRiskRisk FactorsScientistSurvival AnalysisTP53 geneThe Cancer Genome AtlasTimeTrainingTraining ActivityTumor BiologyUnited StatesUnited States National Institutes of HealthVariantbasebiobankcancer geneticscancer riskcancer survivalchromosomal locationchronic liver diseaseclinical epidemiologyclinical phenotypecohortcommunity clinicdisorder controlethnic minorityexperiencegene environment interactiongenetic analysisgenetic epidemiologyhazardhealth care disparityhealth disparityhepatobiliary cancerhigh riskimprovedinnovationmortalitymultidisciplinarynovelpatient orientedpatient oriented researchpersonalized approachphenotypic dataprecision medicinepredictive modelingprognosticationracial differenceracial disparityracial diversityracial minorityrisk prediction modelrisk stratificationrisk variantscreeningskillssocial determinantssocial factorssocial health determinantssocioeconomic diversitysurvival disparitysurvival predictiontooltreatment strategy
项目摘要
PROJECT SUMMARY
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death in the United States and worldwide.
There are significant racial disparities in HCC risk. Blacks, Hispanics and Asians all have increased risk of HCC
compared to non-Hispanic Whites. Also, Blacks consistently have the lowest survival after HCC diagnosis. Likely,
genetic variation and gene-environment interactions modify HCC risk and may also contribute to racial
differences in HCC survival. The objective of this proposal is to leverage our established cohort of diverse
patients with chronic liver disease, cirrhosis and HCC to identify how genetic variation, including genetic
ancestry, drives disparities in HCC risk and mortality, in the context of known risk factors and social determinants
of health. This career development award will provide Dr. Patricia Jones, a skilled hepatologist with experience
in clinical epidemiology, with the opportunity to gain additional training in genetic epidemiology, genetic analysis,
longitudinal data analysis and predictive modeling. Understanding how genetic ancestry drives HCC risk
and outcomes is the first step towards identifying specific ancestry-associated genes and pathways that
are linked to increased risk and/or poor survival. In Aim 1, we will define the relationship between genetic
ancestry and HCC risk by genotyping 200 participants with HCC, 400 participants with chronic liver disease ±
cirrhosis and 400 healthy controls from the NIH All of Us study. We will define how HCC risk differs based on
genetic ancestry across the genome (global) and at specific chromosomal locations for commonly mutated genes
in HCC, e.g. TERT, ARID1A, RB, CTNNB1, TP53, PNPLA3, and IDH1/2. We will also explore new genetic
targets as they emerge from ongoing genetic studies. We will build and validate an HCC risk-prediction model
that incorporates genetic ancestry. By integrating genetic and clinical data with individual social factors and social
determinants of health, the proposed project will improve our ability to accurately predict HCC risk. By
distinguishing patients at highest risk, our risk stratification tool could transform the current HCC screening
paradigm. In Aim 2, we will use genotype data from 200 participants with HCC to develop a survival prediction
model that incorporates genetic ancestry, social determinants and clinical data. We will validate the final survival
model in two separate cohorts of HCC patients. The knowledge gained from our comprehensive survival analysis
in Aim 2 will improve our understanding of the genetic determinants of survival disparities and could lead to more
precise estimates of prognosis, a key patient-centered outcome. The formal and experiential training received
through coursework, internships and workshops will enable Dr. Jones to develop an ancestry-informed HCC risk
prediction model that will form the basis of a future R01 application. With guidance from a strong multidisciplinary
mentoring team with expertise in tumor biology, hepatobiliary malignancies, genetic epidemiology and social
determinants, Dr. Jones will develop new and complementary skills enabling her to become an independent
investigator who conducts integrative patient-oriented research that bridges the community, clinic and laboratory.
项目概要
肝细胞癌(HCC)是美国和全世界癌症相关死亡的主要原因。
HCC 风险存在显着的种族差异,黑人、西班牙裔和亚洲人患 HCC 的风险均较高。
此外,与非西班牙裔白人相比,黑人在诊断出肝癌后的生存率可能始终最低。
遗传变异和基因-环境相互作用会改变 HCC 风险,也可能导致种族
该提案的目的是利用我们已建立的多元化群体。
慢性肝病、肝硬化和肝癌患者如何识别遗传变异,包括遗传
在已知的风险因素和社会决定因素的背景下,血统导致 HCC 风险和死亡率的差异
该职业发展奖将为帕特里夏·琼斯博士提供,她是一位经验丰富的熟练肝病学家。
在临床流行病学方面,有机会获得遗传流行病学、遗传分析、
纵向数据分析和预测模型了解遗传血统如何驱动 HCC 风险。
和结果是确定特定祖先相关基因和途径的第一步
在目标 1 中,我们将定义遗传之间的关系。
通过对 200 名患有 HCC 的参与者和 400 名患有慢性肝病的参与者进行基因分型来确定血统和 HCC 风险 ±
我们将根据 NIH All of Us 研究中的肝硬化和 400 名健康对照来定义 HCC 风险的差异。
跨基因组(全局)和特定染色体位置的常见突变基因的遗传祖先
在 HCC 中,例如 TERT、ARID1A、RB、CTNNB1、TP53、PNPLA3 和 IDH1/2。
我们将建立并验证 HCC 风险预测模型。
通过将遗传和临床数据与个人社会因素和社会结合起来。
健康的决定因素,拟议的项目将提高我们准确预测 HCC 风险的能力。
区分最高风险的患者,我们的风险分层工具可以改变当前的 HCC 筛查
在目标 2 中,我们将使用 200 名 HCC 参与者的基因型数据来制定生存预测。
我们将验证最终的生存率。
从我们的生存分析中获得的知识,我们在两个综合的 HCC 患者队列中建立了模型。
目标 2 中的研究将提高我们对生存差异的遗传决定因素的理解,并可能导致更多
预后的精确估计,以患者为中心的关键结果 接受的正式和体验式培训。
通过课程作业、实习和研讨会,琼斯博士将能够了解祖先的 HCC 风险
预测模型将在强大的多学科指导下构成未来 R01 应用的基础。
具有肿瘤生物学、肝胆恶性肿瘤、遗传流行病学和社会学专业知识的指导团队
琼斯博士将开发新的补充技能,使她能够成为独立的决定因素
进行以患者为导向的综合研究的研究者,在社区、诊所和实验室之间架起桥梁。
项目成果
期刊论文数量(0)
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Patricia Denise Jones其他文献
Patricia Denise Jones的其他文献
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{{ truncateString('Patricia Denise Jones', 18)}}的其他基金
The Impact of Genetic Ancestry on Racial Disparities in Hepatocellular Carcinoma Risk and Mortality
遗传血统对肝细胞癌风险和死亡率种族差异的影响
- 批准号:
10705026 - 财政年份:2022
- 资助金额:
$ 23.71万 - 项目类别:
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