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
基本信息
- 批准号:10737826
- 负责人:
- 金额:$ 15.79万
- 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
- 起止时间:2021-04-01 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAdvanced Malignant NeoplasmAdvisory CommitteesAreaBRCA mutationsBenignBiological AssayBiological MarkersBiologyBiopsyBloodBlood capillariesBlood specimenBody FluidsCA-125 AntigenCancer ControlCancer DetectionCancer DiagnosticsCancer PatientCancer cell lineCarcinoma in SituCell LineCirculationClinicalClinical SensitivityColon CarcinomaCommunicationCompanionsDetectionDevelopmentDiagnosisDiagnostic SensitivityDiseaseDropsEarly DiagnosisEngineeringEpithelial ovarian cancerExcisionFingerprintGeneral PopulationGenerationsGoalsHumanImmune responseImmunoassayImmunoprecipitationInterventionMalignant - descriptorMalignant NeoplasmsMalignant neoplasm of cervix uteriMalignant neoplasm of ovaryMammalian OviductsMass Spectrum AnalysisMessenger RNAMethodsMicroRNAsMicrofluidicsNanochip Analytical DeviceNeoplasm Circulating CellsOperative Surgical ProceduresOutcomeOvarianOvaryPathway interactionsPatientsPatternPlasmaPlayPopulation ControlPrintingProteinsProteomicsPublic HealthReportingReproducibilityRiskRoleSamplingScreening for Ovarian CancerScreening for cancerSensitivity and SpecificitySerousSerum MarkersSignaling ProteinSolid NeoplasmSourceSpecificitySpecimenSymptomsTechnologyTestingTimeTissuesTrainingTumor AntigensTumor MarkersTumor stageTumor-DerivedUltrasonographyUntranslated RNAVaginaValidationVesicleWomanbiomarker panelcancer diagnosiscandidate markercandidate validationclinical diagnosisclinical translationcostcurative treatmentsdetection assaydiagnostic platformdisorder riskearly detection biomarkerseffusionexosomeextracellular vesicleshigh risk populationimaging modalityinnovationliquid biopsymalignant breast neoplasmmicrochipmicrofluidic technologymicrosystemsmortalitymutation carriernanonanoengineeringnanomaterialsnanopatternneoplastic cellnovelnovel markerpatient prognosispre-clinicalpresymptomatic testingprevention serviceprotein biomarkersprotein profilingroutine screeningscreeningself assemblytooltreatment responsetumortumor progression
项目摘要
PROJECT SUMMARY
Ovarian cancer is a silent killer that strikes with few, if any, symptoms. By the time a woman knows she has it,
the cancer is often advanced and the outlook grim. However, if epithelial ovarian cancer is caught early the
prognosis for the patient is excellent. Developing non-invasive and highly specific blood-based tests for pre-
symptomatic screening and early detection of ovarian cancer is therefore crucial. This is especially essential
since obtaining a biopsy is difficult, costly, and sometimes not even an option. In addition, most blood biomarkers
to date lack the necessary sensitivity and specificity for early detection of this silent killer. A fundamental
challenge is the extremely low concentrations of circulating biomolecules released from the developing tumors
at pre-clinical stages which can be 10,000-fold lower than their clinically detectable levels. Therefore, there is a
pressing need to uncover novel biomarkers, apply new strategies, and develop robust technologies to propel the
advancement of cancer diagnostics, especially in a disease such as ovarian cancer. We have focused our efforts
on small extracellular vesicles (sEVs), primarily small and large exosomes derived from the endolysosomal
pathway, which play important roles in cellular communication, immune response, and cancer progression via
transfer of a selective repertoire of biomolecules. sEVs/exosome release is significantly increased in most
neoplastic cells, including ovarian cancer and occurs continuously at all stages of tumor development. Tumor-
derived sEVs accumulate in human blood and malignant effusions. These vesicles carry enriched subsets of
biomolecules mirroring the tumor cells of origin, such as signaling proteins, tumor antigens, and functional RNAs
(mRNA and miRNAs), which offer a new strategy to surmount the challenge in reliable detection of intrinsically
low-level serum markers during early malignant transformation. Thus, the constitutive release and enrichment
of certain tumor markers within sEVs present distinctive opportunities for early cancer diagnosis. We
hypothesize that circulating sEVs, much akin to circulating tumor cells but more robust due to their active release
and incredible stability in bodily fluids, represent a greater source for the discovery of exo-biomarkers for early
detection, potentially while still confined to the fallopian tube. In addition, sEVs can serve as a 'liquid biopsy’ to
assess benefits and treatment responses in real time in cancer patients. Our innovative application merges EV
biology with nano-material/microfluidic technology to develop an advanced microfluidic platform to capture and
detect ovarian cancer-derived sEVs with high specificity and sensitivity from the circulation. This approach will
integrate validated fallopian tube and ovarian cancer associated exo-protein biomarkers (SA1), which will be
applied to a second-generation nano-engineered EV analysis chip (SA2). These studies will be followed by
clinical validation using longitudinal samples collected from asymptomatic women who later develop epithelial
ovarian cancer (SA3). Our ultimate goal is to develop a reliable blood-based assay that, when used in
conjunction with current screening approaches will decrease the mortality from ovarian cancer.
项目摘要
卵巢癌是一个沉默的杀手,击中很少(如果有的话)。当一个女人知道她有它时,
癌症通常是晚期的,外观严峻。但是,如果提早发现上皮卵巢癌
患者的预后非常好。开发非侵入性和高度特定的血液测试,以预先
因此,症状筛查和卵巢癌的早期检测至关重要。这尤其重要
由于进行活检是困难,昂贵的,有时甚至不是一种选择。此外,大多数血液生物标志物
迄今为止,缺乏早期检测该沉默杀手的必要敏感性和特异性。基本
挑战是从发育肿瘤释放的循环生物分子的极低浓度
在临床前阶段,可能比其临床可检测水平低10,000倍。因此,有一个
迫切需要发现新颖的生物标志物,采用新策略并开发强大的技术来推动
癌症诊断的进步,特别是在卵巢癌等疾病中。我们集中精力
在小细胞外蔬菜(SEV)上,源自内溶性的主要大小外泌体
途径,在细胞通信,免疫响应和癌症进展中起着重要作用
选择性生物分子的选择性曲目。大多数SEV/外泌体释放显着增加
肿瘤细胞,包括卵巢癌,并在肿瘤发育的所有阶段不断发生。瘤-
衍生的SEV积聚在人血和恶性积液中。这些蔬菜携带丰富的子集
反映原始肿瘤细胞的生物分子,例如信号蛋白,肿瘤抗原和功能性RNA
(mRNA和miRNA),它提供了一种新的策略来克服可靠的内在检测
早期恶性转化期间的低级血清标记。那,构成释放和丰富
SEV中的某些肿瘤标记为早期癌症诊断提供了独特的机会。我们
假设循环中的SEV,非常类似于循环的肿瘤细胞,但由于其主动释放而更稳固
人身烟道中令人难以置信的稳定性,代表了早期发现外二元标记物的更大来源
检测,可能仍局限于输卵管。此外,SEV可以用作“液体活检”
评估癌症患者实时的益处和治疗反应。我们的创新应用程序合并EV
使用纳米材料/微流体技术的生物学,开发出高级微流体平台以捕获和
从循环中检测具有高特异性和灵敏度的卵巢癌衍生的SEV。这种方法会
综合验证的输卵管和卵巢癌相关的外蛋白生物标志物(SA1)将是
应用于第二代纳米工程EV分析芯片(SA2)。这些研究将随后
使用从不对称妇女那里收集的纵向样本的临床验证,后来发展上皮
卵巢癌(SA3)。我们的最终目标是开发可靠的基于血液的测定法
与当前筛查方法的结合将降低卵巢癌的死亡率。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Effects of Ubiquinol and/or D-ribose in Patients With Heart Failure With Preserved Ejection Fraction.
- DOI:10.1016/j.amjcard.2022.04.031
- 发表时间:2022-08-01
- 期刊:
- 影响因子:2.8
- 作者:Pierce, Janet D.;Shen, Qiuhua;Mahoney, Diane E.;Rahman, Faith;Krueger, Kathryn J.;Diaz, Francisco J.;Clark, Lauren;Smith, Carol;Vacek, James;Hiebert, John B.
- 通讯作者:Hiebert, John B.
Understanding the need for digital twins' data in patient advocacy and forecasting oncology.
- DOI:10.3389/frai.2023.1260361
- 发表时间:2023
- 期刊:
- 影响因子:4
- 作者:Chang, Hung-Ching;Gitau, Antony M.;Kothapalli, Siri;Welch, Danny R.;Sardiu, Mihaela E.;Mccoy, Matthew D.
- 通讯作者:Mccoy, Matthew D.
Ovarian Cancer Symptom Clusters: Use of the NIH Symptom Science Model for Precision in Symptom Recognition and Management.
- DOI:10.1188/22.cjon.533-542
- 发表时间:2022-09-15
- 期刊:
- 影响因子:1.1
- 作者:
- 通讯作者:
Characteristics, staging and outcomes of differentiated thyroid cancer in patients with and without Graves' disease.
- DOI:10.1016/j.jcte.2023.100321
- 发表时间:2023-09
- 期刊:
- 影响因子:3
- 作者:Gopinath, Chaitra;Crow, Hanna;Panthi, Sujata;Bantis, Leonidas;Burman, Kenneth D.;Choudhary, Chitra
- 通讯作者:Choudhary, Chitra
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ANDREW K. GODWIN其他文献
ANDREW K. GODWIN的其他文献
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{{ truncateString('ANDREW K. GODWIN', 18)}}的其他基金
The Kansas Institute for Precision Medicine : Zeiss Axioscan 7
堪萨斯精准医学研究所:Zeiss Axioscan 7
- 批准号:
10610667 - 财政年份:2022
- 资助金额:
$ 15.79万 - 项目类别:
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 - 财政年份:2021
- 资助金额:
$ 15.79万 - 项目类别:
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:
10621734 - 财政年份:2021
- 资助金额:
$ 15.79万 - 项目类别:
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:
10373086 - 财政年份:2021
- 资助金额:
$ 15.79万 - 项目类别:
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:
10199594 - 财政年份:2021
- 资助金额:
$ 15.79万 - 项目类别:
Integrated exosomes profiling for minimally invasive diagnosis and monitoring of cancer
用于癌症微创诊断和监测的综合外泌体分析
- 批准号:
10307656 - 财政年份:2021
- 资助金额:
$ 15.79万 - 项目类别:
The Kansas Institute for Precision Medicine: IsoPlexis IsoSpark
堪萨斯精准医学研究所:IsoPlexis IsoSpark
- 批准号:
10806784 - 财政年份:2019
- 资助金额:
$ 15.79万 - 项目类别:
Biobanking and Biomarker Validation (BBV) Core
生物样本库和生物标志物验证 (BBV) 核心
- 批准号:
10582682 - 财政年份:2019
- 资助金额:
$ 15.79万 - 项目类别:
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