Novel biomarker strategies for HCC early detection in AI/AN patients
Novel biomarker strategies for HCC early detection in AI/AN patients
批准号:
10706313
负责人:
William Mallory Grady
金额:
$13.63万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-06 至 2024-08-31
关键词:
AFP geneAgeAlaskaAlaska NativeAlgorithmsAmerican IndiansBayesian MethodBayesian ModelingBiological MarkersCase/Control StudiesCaucasiansCellsCessation of lifeCharacteristicsCirrhosisCollectionColorectal CancerCross-Sectional StudiesDNADNA MarkersDNA MethylationDiagnosticEarly DiagnosisEnvironmental ExposureEpidemiologyEpigenetic ProcessEthnic PopulationEtiologyFaceFunctional disorderFutureGenderGeneticGenetic PolymorphismGenomicsHBV GenotypeHCV CirrhosisHepatitis B VirusImageIncidenceIndian reservationLiver diseasesMalignant NeoplasmsMalignant neoplasm of liverMalignant neoplasm of lungMalignant neoplasm of prostateMeasurementMethylationModelingMutationNative-BornPatientsPatternPerformancePersonsPhasePlasmaPopulationPrimary carcinoma of the liver cellsProteinsResearch DesignRiskScienceSerumSerum ProteinsSeveritiesSpecialized CenterSpecificityTestingTumor TissueWomanbiomarker developmentbiomarker panelbiomarker performancebiomarker validationblood-based biomarkercancer health disparitycohortdesigndisparity eliminationepigenetic markerepigenetic profilingepigenomicsimaging facilitiesimprovedinnovationliquid biopsymalignant breast neoplasmmenmolecular markermortalitynovelnovel markerperformance testsperipheral bloodphase 2 studyphase 3 studyprospectiveracial populationscreeningtranslational approachtribal communitytumortumor DNA
中文摘要
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英文摘要
ABSTRACT: PROJECT 1 – Novel Biomarker Strategies
Peripheral blood-based HCC biomarker panels are an essential component of early detection strategies,
especially in remote AI/AN tribal communities and Indian reservations that are very far from any imaging facilities.
Additionally, blood-based biomarker screening achieves greater compliance than imaging-based screening,
even when imaging is readily available.
Promising serum biomarker panels have been undergoing phase 2 and 3 studies of biomarker validation in the
last 5-7 years, such as the GALAD test by Fujifilm-Wako and the methylated DNA marker (MDM) panel by
EXACT Sciences, which raises the possibility of a “liquid biopsy” for early detection of HCC. Unfortunately, none
of these panels have ever been tested in AI/AN patients. It is likely that the performance of these biomarkers will
be significantly different in AI/AN patients than what was described in predominantly Caucasian populations in
whom they were developed.
The overarching aim of Project 1 is to use a translational approach to develop novel biomarker strategies for
early detection of HCC that are designed specifically for AI/AN through 3 interconnected specific aims:
SA1: Determine if hepatocellular carcinoma (HCC) in AI/AN patients is associated with unique or enriched
genomic and/or epigenomic alterations or patterns of alterations compared to other racial/ethnic groups in
order to identify molecular markers, including circulating free methylated DNA (cf mDNA) markers that can be
used for surveillance in AI/AN patients at risk of HCC.
SA2: (Phase 2 study of biomarker development). Perform a case-control study of 100 cases with T1 or T2
HCC (n=50 AI/AN, n=50 other racial/ethnic groups) and 100 at-risk control patients without HCC with cirrhosis
or HBV (n=50 AI/AN, n=50 other racial/ethnic groups) matched by liver disease etiology and cirrhosis severity,
to determine and compare the performance characteristics (sensitivity, specificity, AUROC) of the following
novel HCC screening biomarker panels:
• Circulating methylated DNA marker (MDM) panel (EXACT sciences)
• Serum protein-based biomarker panel GALAD (FujiFilm-Wako Diagnostics)
If necessary, we will modify GALAD to optimize its performance for AI/AN persons and consider if its
performance can be further improved by combining it with cf mDNA markers.
SA3: (Phase 3 study of biomarker development). Develop and validate HCC early detection algorithms in an
Alaska cohort of AI/AN patients with HCV-cirrhosis or HBV using longitudinal (serial) AFP or GALAD, or
modified GALAD developed in SA2 specifically for AI/AN patients, modeled by a Parametric Empirical
Bayesian (PEB) and Multivariate Fully Bayesian (mFB) approach.
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