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A Biomarker Risk Prediction Model for Prostate Cancer

A Biomarker Risk Prediction Model for Prostate Cancer
前列腺癌的生物标志物风险预测模型
批准号:
8411115
负责人:
Tamaro Syton Hudson
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2017-09-30
关键词:
ANXA2 geneAddressAffectAfrican AmericanAntigensArchivesBenign Prostatic HypertrophyBiologicalBiological MarkersBiopsyBiopsy SpecimenCancer CenterCancer PatientCancer PrognosisCandidate Disease GeneCaucasiansCellsChaperonin 60ChemopreventionClassificationClinicClinicalCommunitiesDetectionDiagnosisDiagnosticDiet and NutritionDiseaseDistrict of ColumbiaEarly DiagnosisEthnic groupExhibitsFutureGene ChipsGene ExpressionGene Expression ProfilingGene ProteinsGenesGleason Grade for Prostate CancerGoalsHeat shock proteinsHeat-Shock Proteins 70HumanImmunohistochemistryIn Situ HybridizationIndolentKazal Pancreatic Trypsin Secretory InhibitorLogistic ModelsMalignant NeoplasmsMalignant neoplasm of prostateMeasuresMedical centerMethodologyMicroarray AnalysisModelingMolecularNewly DiagnosedNormal tissue morphologyOutcomePathologistPathologyPopulationProstateProstate carcinomaProstate-Specific AntigenProteinsPublic HealthRNARaceRecordsResearchRiskSamplingSourceSpecimenStaining methodStainsStatistical ModelsStratificationSubgroupTestingTherapeuticTissue SampleTissuesTransrectal UltrasoundUltrasonographyUnited States Department of Veterans AffairsUniversitiesUniversity HospitalsVariantWashingtonWestern Worldabstractingcancer health disparitycancer preventioncancer riskclinical applicationcohortdifferential expressiondisease diagnosisgenetic profilinghigh riskinsightinterestmenmortalitynoveloverexpressionpredictive modelingprognosticprostate biopsyprotein expressionpublic health relevancerectalscreeningtooltrendtumor registryurologic

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DESCRIPTION (provided by applicant): Modified Project Summary/Abstract Section African American (AA) men are at a greater risk of developing aggressive prostate cancer (PrCa) than are Caucasian men. Therefore, identifying biomarkers involved in aggressive PrCa that can be used to identify AA men for specific and/or novel therapies would provide a major advance in public health. Consequently, there is intense effort to identify potential biomarkers that could independently predict poor clinical outcome and identify novel therapies for men with aggressive PrCa. Notably, heat shock proteins, PrCa Antigen 3, and Serine Protease Inhibitor Kazal-type 1, are all overexpressed in men with PrCa, where as Annexin II is suppressed. Despite the biological importance of these biomarkers, no studies have yet evaluated the significance of these biomarkers in AA men with aggressive PrCa. We believe that Howard's University Hospital urologic clinic which evaluates approximately 200 PrCa patients per year, is an ideal source for studying the importance of biomarkers as predictors of aggressive PrCa in AA men. We propose to evaluate the bi-directional expression of protein and gene signature pairs different in archival tissue samples from AA men who had been diagnosed with an aggressive form of PrCa at the Washington VA Medical Center and Howard and Johns Hopkins University Cancer Centers. The main hypothesis is that the bi-directional expression of genes and proteins is predictive of aggressive, lethal PrCa risk. To test this hypothesis we propose two aims. The first aim will test the hypothesis that microarray gene expression profiling produces bi-directional biomarker signature pairs that can be used to build a risk prediction model for PrCa. The second aim will test the hypothesis that the risk prediction of poor clinical outcome with bi-directional gene and protein expression pairs is superior to the use of a single gene or protein. Candidate pairs include those discovered in Aim 1. We anticipate that these studies may provide insight into selected genes and proteins as reliable predictive biomarkers for identifying aggressive PrCa in AA men, and could inform future human clinical applications for treatment of aggressive PrCa. PUBLIC HEALTH RELEVANCE: Project Narrative Prostate carcinoma (PrCa) continues to represent a significant challenge to the scientific and clinical community as it remains the most common malignancy in men of the Western World. As a result, there has been a committed focus to cancer prevention through research efforts related to early detection and screening, diet and nutrition, and chemoprevention. However, even with improvements in early detection and screening and treatment, overall PrCa mortality rates for African American men have not significantly declined when compared with those of other ethnic groups. Thus, it is extremely important to identify molecular biomarkers and/or genetic profiles that can address the cancer health disparity in African American men, and possibly inform novel therapies for high-risk populations. This proposal seeks to investigate the expression levels of bi-directional genes or proteins in aggressive and non-aggressive prostate cancer specimens obtained from a cohort of African American and Caucasian men who have undergone trans-rectal ultrasound guided prostate biopsy (TRUS).
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A Biomarker Risk Prediction Model for Prostate Cancer
A Biomarker Risk Prediction Model for Prostate Cancer
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