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Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem

Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem
卵巢癌细胞外囊泡蛋白质组指纹图谱用于纳米工程微系统的早期检测
批准号:
10526715
负责人:
ANDREW K. GODWIN
金额:
$16.08万
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:
未结题
起止时间:
2021-04-01 至 2026-03-31
关键词:
16S ribosomal RNA sequencingAddressBRCA mutationsBenignBiological MarkersBloodBlood CirculationBlood ScreeningBlood TestsBlood specimenCellsCharacteristicsClassificationClinicClinicalClinical SensitivityCollectionComplementDNADetectionDevelopmentDevelopment PlansDiagnosisDiseaseDisease ProgressionEarly DiagnosisEpithelial ovarian cancerFemale Genital DiseasesFingerprintGoalsGynecologicHistologicIndividualInheritedInvestigationKansasLinkLungMalignant Female Reproductive System NeoplasmMalignant NeoplasmsMalignant neoplasm of ovaryMalignant neoplasm of prostateMammalian OviductsMedical centerMentorsMethodsMicrobeNucleic AcidsOnset of illnessOvarianOvarian Serous AdenocarcinomaOvaryPeritonealPeritoneumPhylogenyPlasmaProceduresProteomicsReportingReproducibilityResearchResearch PersonnelRiskSamplingScreening for Ovarian CancerScreening for cancerScreening procedureSensitivity and SpecificitySignal TransductionSolid NeoplasmSpecimenSurvival RateTaxonomyTestingThinkingTumor TissueUnited StatesUniversitiesWomanbasebiobankbiosignaturecancer surgerycarcinogenesiscareercareer developmentcase controlclinically relevantcost effectivecurative treatmentsdesigndiagnostic valueearly detection biomarkersextracellular vesicleshigh riskhuman microbiotaimprovedinnovationmelanomamicrobialmicrobial signaturemicrobiomemicrobiotamicrobiota profilesmicroorganismmicrosystemsminimally invasivenanoengineeringnovelovarian neoplasmparent grantreproductive tractresearch studyscreeningtherapy designtooltumor microenvironment

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Project Summary/Abstract Diversity Supplement Title: Identification of Plasma Microbiota Biosignatures for Early Epithelial Ovarian Cancer Detection Annually over 21,000 women are diagnosed in the United States with ovarian cancer and nearly 14,000 women die of the disease. Advanced epithelial ovarian cancer (EOC) is associated with an overall survival of 30% but can be cured in up to 90% of cases if diagnosed at an early stage. Therefore, developing noninvasive and highly specific blood-based tests is highly appealing as screening methods in clinic settings. Research suggests that human microbiota, a collection of microorganisms that live in the body, are harbored in EOC tumor tissue that are distinctly unique between women with and without disease. However, additional research is needed to determine if these observed microbiota differences can be detected outside the ovarian tumor microenvironment and serve as biomarkers of early disease. Recent investigations have identified noninfectious microbial deoxyribonucleic acid (DNA) isolated in blood plasma from individuals with other cancers, which creates an exciting opportunity for ovarian cancer screening innovation. The purpose of this diversity supplement proposal is to identify and validate plasma microbial biosignatures detected in EOC that can drive the development of non-invasive blood tests for early disease screening. This study applies a retrospective design that will use existing consortium biobank plasma specimens including EOC cases, non-EOC solid tumor cases, benign gynecologic disease cases, and control cases. We will evaluate the microbial signatures of plasma samples with 16S rRNA gene sequencing and assess the clinical sensitivity and specificity of the most informative microbial taxa signature that rigorously discriminates between cases with and without EOC. This proposal marks a dynamic change in thinking to postulate that EOC-favorable microbiota may coalesce in the bloodstream early and signify ovarian carcinogenesis. We believe this innovative study will allow us to develop a method to detect early EOC during a routine well women exam by screening blood samples for unique bacterial DNA signatures, especially in women who are at high risk.
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The Kansas Institute for Precision Medicine : Zeiss Axioscan 7
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered Microsystem
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