grant

Data & Analysis Core

Organization BAYLOR COLLEGE OF MEDICINELocation HOUSTON, UNITED STATESPosted 1 Jul 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY20252,4-thiazolidinedioneActive Follow-upAddressBiochemical MarkersBlindedCausalityChemopreventionChemopreventiveChemopreventive AgentCirrhosisCitiesClinicalClinical ResearchClinical StudyComprehensive Cancer CenterDataData AnalysesData AnalysisData CollectionData LinkagesData SetDevelopmentDiabetes MellitusDimethylbiguanidineDimethylguanylguanidineDysfunctionEarly DiagnosisEffectivenessElectronicsEnrollmentEnsureEpidemiological dataEpidemiologyEpidemiology dataEquipment and supply inventoriesEtiologyFunctional disorderFundingFutureGenetic MarkersGlitazonesGoalsHepatic CancerHepatocarcinomaHepatocellular CarcinomaHepatocellular cancerHepatomaHuman ResourcesIndividualInformaticsInformation TechnologyInventoryInvestigatorsLiver Cells CarcinomaMAFLDMachine LearningMalignant neoplasm of liverManpowerManualsMathMathematicsMedicineMetabolicMetabolic dysfunctionMetabolic syndromeMetforminMissionMonitorN,N-dimethyl-imidodicarbonimidic diamideObesityParticipantPatientsPersonsPhysiopathologyPreventative strategyPreventionPrevention strategyPreventive strategyPrimary carcinoma of the liver cellsProbabilistic ModelsProbability ModelsProcessProspective cohortProtocolProtocols documentationRecord Linkage StudyResearch DesignResearch PersonnelResearch ResourcesResearch SpecimenResearchersResource SharingResourcesRetrievalRetrospective cohortRisk FactorsRisk ReductionSamplingScienceServicesSiteSocial Support SystemSpecimenSpinal ColumnSpineStatistical Data AnalysesStatistical Data AnalysisStatistical Data InterpretationStatistical MethodsStatistical ModelsStudy TypeSupport SystemSystemTechnologyTestingTexasThiazolidinedionesTranslational ResearchTranslational ScienceUnited States Department of Veterans AffairsUnited States Veterans AdministrationUpdateVertebral columnVeterans AdministrationVeterans AffairsWorkactive followupadiposityanti-carcinogenicbackbonebiomarker developmentbiomarker discoverybiomarker validationcausationcentral databasechemoprevention agentcirrhoticcohortcollegecollegiatecomparativecorpulencecostdashboarddata harmonizationdata interpretationdata managementdesigndesigningdevelopmentaldiabetesdisease causationearly detectionelectronicelectronic deviceenrollepidemiologicepidemiologic dataepidemiologicalexperiencefatty liver diseasefollow upfollow-upfollowed upfollowupgene biomarkergene expression biomarkergene markergene signature biomarkergenetic biomarkerharmonized datahigh dimensional datainternet based platforminternet platformliver cancerliver carcinomaliver malignancymachine based learningmalignant liver tumormarker validationmembermetabolic-associated fatty liver diseasemodel-based simulationmodels and simulationmortalitymultidimensional datamultidimensional datasetsnew markernovel biomarkernovel markeroperationoperationsparticipant enrollmentpathophysiologypatient enrollmentpersonnelphenotypic biomarkerphenotypic markerprofessorprogramsquality assurancerecruitreduce riskreduce risksreduce that riskreduce the riskreduce these risksreduces riskreduces the riskreducing riskreducing the riskresearch studyrisk stratificationrisk-reducingskillsstatistic methodsstatistical analysisstatistical linear mixed modelsstatistical linear modelsstatisticsstemstratify riskstudy designsuccesssynergismthiazolidinedionetimelinetooltranslation researchtranslational investigationvalidation studiesweb based platformweb based systemweb enabled platformweb platform
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Full Description

ABSTRACT— Data and Analysis Core
The Program Project (PP) overarching goal is to reduce the burden of hepatocellular carcinoma (HCC)-related

mortality. We will achieve this goal by enhancing the understanding of contemporary risk factors (e.g.,

phenotypic, biochemical, and genetic markers of metabolic dysfunction) and preventive strategies (e.g.,

chemoprevention, surveillance) for rapidly increasing HCC related to metabolic (dysfunction) associated fatty

liver disease (MAFLD). The PP includes three Projects; two shared resource cores, the Data and Analysis

Core (DAC) and the Biospecimen and Biomarker Development Core (BBDC); and the Administrative Core, all

with the shared mission of stemming the rising tide of MAFLD-HCC.

Central to this PP is leveraging and expanding our multicity, ongoing prospective cohort of persons with MAFLD-

related cirrhosis, as well as a retrospective cohort identified in the national Department of Veterans Affairs (VA)

datasets. The aims of the three projects require rigorous implementation of well-designed protocols for

coordination and implementation of patient enrollment and biospecimen and data collection. Further, they need

optimal, complete follow-up of patients with cirrhosis to determine if the participants developed HCC. The BBDC

requires support programs and systems to track samples between enrollment sites to identify and select

samples for testing related to specific projects. All three PP studies also require rigorous advanced methods

for statistical analyses and information technology. All these needs will be addressed by the DAC.

The goal of the DAC is to provide critical expertise and support in data management, coordination, statistics

and information technology for all projects in the PP. The Specific Aims of DAC are to provide the PP projects

and BDCC with (1) Management and coordination, including implementing and maintaining a Manual of

Operation (MOO) of the multicity, multisite prospective cohort; (2) Programming and systems support to

maintain central databases for PP Projects, track samples, design programs to monitor study data, and develop

electronic dashboards to ensure regulatory compliance and timely progress of PP Projects and Cores; (3)

Statistical expertise for programming, ongoing quality assurance, study design guidance, and analysis and

interpretation of data; and (4) Informatics technology to harmonize data collection efforts among PP

investigators and collaborators and to develop apps for users that interface with simulation models.

DAC members have extensive experience and expertise in the design and statistical analyses of variety of

study as well as continuity of skills, protocols and personnel related to the THCCC cohort. DAC will ensure

the all Projects and Cores achieve the overarching goal of reducing HCC related mortality.

Grant Number: 5P01CA263025-04
NIH Institute/Center: NIH

Principal Investigator: Christopher Amos

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