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Biomarker Development Laboratory

Biomarker Development Laboratory
生物标志物开发实验室
批准号:
10701247
负责人:
Hui Zhang
金额:
$37.87万
依托单位:
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:
2023-07-20 至 2028-06-30
关键词:
AdoptionAffectBioinformaticsBiologicalBiological AssayBiological MarkersBiopsyBody FluidsCancer PatientCharacteristicsCirculationClassificationClinicalCollaborationsCollectionDataData Coordinating CenterDetectionDevelopmentDiseaseDisease ProgressionEarly Detection Research NetworkEarly DiagnosisEarly InterventionEffectivenessEnrollmentEvaluationFutureGleason Grade for Prostate CancerImmunoassayImmunohistochemistryKnowledgeLeadLeadershipLiquid substanceMagnetic Resonance ImagingMalignant neoplasm of prostateMeasurementMeta-AnalysisModelingMonitorNatureNewly DiagnosedPSA screeningPathological StagingPatient TriagePatientsPerformancePhasePlayPopulation SurveillancePost-Translational Protein ProcessingProteinsProteomeProteomicsProtocols documentationPublic HealthRecording of previous eventsReportingResearchResearch Project GrantsResourcesRoleSampling ErrorsScreening for Prostate CancerSerumSignal TransductionSpecimenStagingStainsTarget PopulationsTechnologyTimeTissuesTranslatingTranslationsUrineUrologyValidationVariantWorkassay developmentbiomarker developmentbiomarker discoverybiomarker panelbiomarker validationcancer biomarkerscancer diagnosiscancer riskcandidate markercandidate selectiondisorder riskgenomic signatureglycoproteomicsglycosylationimprovedin-vitro diagnosticsindexinginnovationlaboratory developmentmembermultimodalitymultiple omicsovertreatmentprogression riskprostate cancer cellprostate cancer progressionprostate cancer riskresearch clinical testingsingle cell analysissingle cell proteinsstatisticssuccesstissue biomarkerstoolultrasound

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中文摘要
翻译
主动监测(AS),延迟治疗低风险PCa患者,直到有进展的迹象
英文摘要
Active surveillance (AS), which holds off on treatment for low-risk PCa patients until signs of progression are detected through careful monitoring, was developed as a potential solution to decrease over-treatment of low- risk cancer. For this BCC/BDL, we propose to develop multimodal biomarker panels and associated in vitro diagnostic multivariate index assays (IVDMIAs) for two specific clinical intended uses to improve the effectiveness of AS: 1) IVDMIAs using serum, urine, and biopsy tissue biomarkers to identify patients with low- risk PCa from those with aggressive disease, and/or to provide accurate clinical grading and staging to assist in AS enrollment; and 2) IVDMIAs of non-invasive (serum and urine) biomarkers to sensitively detect early signs of disease reclassification with clinically meaningful lead time for definitive treatment. To develop these biomarker panels, we propose four specific aims. Aim 1. To perform integrated proteomic and glycoproteomic characterization of multimodal clinical specimens to discover and develop biomarkers de novo as well as integrate biomarkers existing or from our current BDL/BRL for the two specific intended uses; Aim 2. To work with the BRL component of our BCC to develop high-quality assays for accurate and efficient evaluation of selected candidate biomarkers; Aim 3. (co-Aim with BRL) To develop and evaluate IVDMIAs to achieve clinically meaningful performance characteristics for the predefined clinical uses; and Aim 4. To participate in EDRN network research projects, including actively participating in and contributing to on-going and future network projects, collaborate with other BCCs and CVCs, and work with EDRN leadership, Executive Committee, and Data Management and Coordinating Center (DMCC) regarding research direction, data and results report criteria/standards, and general effort coordination. Innovations of the BDL include unique targeted AS population, state-of-the-art proteomic and glycoproteomic technologies for both biomarker discovery and pre-validation phases, immunoassays for the detection of specific modified protein forms, quantitative analysis of tissue proteins by single-cell analysis and immunohistochemistry staining as well as quantitative measurement using liquid tissue measurement. Innovative bioinformatics approaches include tools that incorporate existing clinical and biological knowledge of the disease into the quantitative analysis for discovery and IVDMIA model optimization and corroborative analysis of the PCa proteome through single-cell analysis and bulk expression data deconvolution. In summary, the proposed BCC/BDL has assembled a unique collection of well characterized multimodal biospecimen collections representative of the intended targeted populations; and proposed a clear path using state-of-the-art and innovative proteomics, glycoproteomics, statistics, and bioinformatics approaches for biomarker discovery and validation of IVDMIAs to achieve clinically meaningful performance for the two clearly defined intended clinical uses that are critically important for the success of prostate cancer active surveillance.
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会议论文
Mechanism of double-negative T cells in antitumor immunity to breast cancer
  • 批准号:
    10735679
  • 项目类别:
  • 资助金额:
    $36.49万
  • 财政年份:
    2023
  • 负责人:
    Hui Zhang
  • 依托单位:
Biostatistics and Bioinformatics Core
Biostatistics and Bioinformatics Core
Biostatistics and Bioinformatics Core
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