Exosomal biomarkers for the early detection of hepatocellular carcinoma
Exosomal biomarkers for the early detection of hepatocellular carcinoma
批准号:
10660885
负责人:
Ajay Goel
金额:
$74.53万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-08 至 2028-07-31
关键词:
Alcohol abuseBioinformaticsBiological AssayBiological MarkersBloodBlood Specimen CollectionCancer EtiologyCell LineCellsCessation of lifeChronic HepatitisCirculationClinicalCollectionDataDeath RateDetectionDiagnosticDiseaseEarly DiagnosisEarly identificationEarly treatmentEtiologyEvaluationExcretory functionHepaticHumanImpairmentIncidenceIndividualLiverLiver CirrhosisMachine LearningMalignant NeoplasmsMalignant neoplasm of liverMessenger RNAMethodologyMicroRNAsModalityMolecularMolecular ProfilingMutationNeoplasmsNon-Insulin-Dependent Diabetes MellitusObesityPatientsPerceptionPerformancePlasmaPopulationPreventionPrimary carcinoma of the liver cellsProspective cohortProtocols documentationReproducibilityResearchSamplingSensitivity and SpecificitySmall RNASpecificitySpecimenStandardizationSurveillance MethodsSystemic TherapyTissuesTranslational ResearchTumor MarkersViralVirusalpha-Fetoproteinsbiomarker discoverybiomarker panelcirculating microRNAclinically relevantcohortcostdiagnostic valuedifferential expressionearly detection biomarkersexosomeextracellular vesiclesfatty liver diseasegenome-widehigh riskimaging modalityliquid biopsyliver functionmicroRNA biomarkersmortalitynonalcoholic steatohepatitispatient populationprognosticprospectiveresiliencescreeningtranscriptome sequencingultrasound
中文摘要
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英文摘要
PROJECT SUMMARY:
Liver cancer is estimated to afflict 42,230 individuals and result in approximately 30,230 deaths in the US in 2021.
The incidence rates for liver cancer have more than tripled since 1980, making it the 5th leading cause of cancer-
related deaths in the US. Approximately three-fourths of liver cancer cases are hepatocellular carcinoma (HCC).
As for all cancers, detection of HCC at an earlier stage is critical to elicit the best chance of a cure. Early detection
of HCC has significant potential to reduce mortality rates, due to the significant efficacy of local treatments for
early-stage disease vs. systemic therapy for advanced-stage cancers. Although surveillance of patients at high-
risk for HCC (e.g., those with chronic hepatitis or liver cirrhosis [LC]) is widely performed, the population of
patients with HCC without viral etiologies is increasing because of insufficient screening for HCC. At present,
alpha-fetoprotein (AFP) is the most widely used blood tumor marker; and hepatic ultrasound is a low-cost imaging
method for surveillance of HCCs. However, both approaches have limited sensitivity and specificity for detecting
early-stage HCC, highlighting the imperative need to develop robust biomarkers for the early detection of HCC.
Accumulating evidence indicates that dysregulation of microRNAs (miRNAs) occurs in all human cancers,
including HCC. As biomarkers, miRNAs are more resilient than mRNAs, and are frequently deregulated even in
the earliest stages of neoplasia. Furthermore, the recent discovery that cancers actively excrete small
extracellular vesicles, called exosomes, has brought additional enthusiasm to this burgeoning translational
research topic. While exosomes are considered to reflect their respective cells-of-origin, their use in biomarker
research has been hampered due to lack of standardized protocols for their isolation and purification, use of cell
line-derived, but not patient-derived specimens for biomarker discovery; and lack of biomarker discovery in
cancer-derived exosomes from matched tissues and plasma specimens. Furthermore, despite the perception
that exosomal-miRNAs (exo-miRNAs) may be superior to circulating cell-free miRNAs (cf-miRNAs), no studies
have undertaken an effort to directly compare these two types, to support or negate their superiority as disease
biomarkers. In this proposal, we will address these concerns by undertaking the following Specific Aims. Aim 1:
Discover candidate cf-miRNA and exo-miRNA biomarkers using small RNA-Seq in matched tissue and plasma
from patients with early-stage HCC vs. controls. Aim 2: Develop a biomarker panel composed of cf-miRNAs and
exo-miRNAs for the identification of patients with HCC in an independent cohort. Aim 3: Clinically validate the
optimized panel of non-invasive plasma miRNA biomarkers in a large prospective cohort of patients with HCC.
If successful, this proposal will provide molecular characterization of cell-free and exosomal miRNAs as liquid
biopsy biomarkers, which may allow early-detection of HCC using a non-invasive, and inexpensive assay.
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批准号:10219990
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资助金额:$51.45万
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财政年份:2019
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依托单位:
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批准号:10669178
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资助金额:$48.79万
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批准号:9279710
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资助金额:$107.54万
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财政年份:2017
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负责人:Ajay Goel
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依托单位:
Noncoding RNA Biomarkers for Noninvasive and Early Detection of Pancreatic Cancer
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批准号:10246989
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项目类别:
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资助金额:$144.59万
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财政年份:2017
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负责人:Ajay Goel
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依托单位:
Noncoding RNA Biomarkers for Noninvasive and Early Detection of Pancreatic Cancer
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批准号:10020380
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项目类别:
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资助金额:$71.87万
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财政年份:2017
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负责人:Ajay Goel
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依托单位:
Development of microRNA Biomarkers For Noninvasive Detection of Colorectal Cancer
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批准号:9295844
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项目类别:
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资助金额:$34.99万
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财政年份:2015
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负责人:Ajay Goel
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依托单位:
Development of microRNA Biomarkers For Noninvasive Detection of Colorectal Cancer
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批准号:8818968
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项目类别:
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资助金额:$36.04万
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财政年份:2015
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负责人:Ajay Goel
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依托单位:
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population Data
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批准号:8759524
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资助金额:$59.6万
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财政年份:2014
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负责人:Ajay Goel
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依托单位:
METHYLATION BIOMARKER DEVELOPMENT FOR NONINVASIVE DETECTION OF COLORECTAL CANCER
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批准号:8851541
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项目类别:
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资助金额:$32.08万
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财政年份:2014
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负责人:Ajay Goel
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依托单位:
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population Data
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批准号:9339625
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项目类别:
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资助金额:$49.6万
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财政年份:2014
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负责人:Ajay Goel
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依托单位:
METHYLATION BIOMARKER DEVELOPMENT FOR NONINVASIVE DETECTION OF COLORECTAL CANCER
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批准号:8697823
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项目类别:
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资助金额:$32.73万
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财政年份:2014
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负责人:Ajay Goel
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依托单位:
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population Data
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批准号:9136780
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项目类别:
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资助金额:$55.6万
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财政年份:2014
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负责人:Ajay Goel
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依托单位:
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population Data
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批准号:8931931
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项目类别:
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资助金额:$57.11万
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财政年份:2014
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负责人:Ajay Goel
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依托单位:
海外基金