Real-time monitoring of circulating pancreatic tumor cells and clusters
实时监测循环胰腺肿瘤细胞和簇
基本信息
- 批准号:10219169
- 负责人:
- 金额:$ 15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-01 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:AcousticsAddressAntibodiesAntigensAreaBiological AssayBiological MarkersBloodBlood TestsBlood donorBlood specimenCancer EtiologyCell CountCell LineCell SeparationCell surfaceCellsCessation of lifeClinicalClinical ResearchColorectal NeoplasmsDevelopmentDiagnosisDiagnostic radiologic examinationDiseaseDisease ProgressionDistalFDA approvedFluorescence-Activated Cell SortingGoalsHeterogeneityHumanImageIndustryLaboratoriesLeukocytesLibrariesMalignant NeoplasmsMalignant neoplasm of pancreasMammary NeoplasmsMeasurementMeasuresMediatingMethodsMicrofluidicsModelingMolecularMolecular AnalysisMolecular ProfilingMonitorMusNeoplasm Circulating CellsNeoplasm MetastasisOperative Surgical ProceduresPancreatic Ductal AdenocarcinomaPancreatic Ductal CarcinomaPatient MonitoringPatientsPhenotypePreparationProstatic NeoplasmsRNARecoveryRecurrenceSamplingSensitivity and SpecificitySiteSorting - Cell MovementSpecificityStainsSurvival RateTechnologyTestingTherapeuticTimeTracerTravelX-Ray Computed Tomographybasebiomarker discoverybiomarker panelbiomarker signatureburden of illnesscare outcomescohortimprovedindustry partnerliquid biopsymetastatic processmouse modelnovelnovel strategiespancreatic cancer cellspancreatic cancer patientspancreatic ductal adenocarcinoma modelpancreatic neoplasmpre-clinicalprognosticprogramsreal time monitoringresearch clinical testingspecific biomarkersstandard of caretooltranscriptome sequencingtreatment responsetumor
项目摘要
Pancreatic ductal adenocarcinoma (PDA), which has an overall five-year survival rate of 6%, is
predicted to become the second leading cause of cancer-related death in the US. 80% of PDA patients
who have surgery will suffer a recurrence likely due to undetectable metastases present at diagnosis; yet
standard of care radiographic imaging and blood-tests can be imprecise and are not predictive of
metastatic burden. Circulating tumor cells (CTCs) are thought to mediate much of the metastatic process,
and while FDA-approved tests are established for enumeration of CTCs shed into the blood by breast,
prostate, and colorectal tumors, such tests lack sufficient sensitivity for pancreatic tumors. Recently, we
showed that: PDA CTC heterogeneity promoted a more aggressive phenotype; CTC clusters were
associated with higher metastatic potential; and seeding at distal sites required more than one clone during
the course of metastatic disease progression. This proposal seeks to develop and optimize a liquid
biopsy for the measurement of single and clustered CTCs and their molecular signatures, in order
to address the urgent unmet need for non-invasive clinical monitoring of PDA patient metastatic
burden, disease progression, and treatment response. This industry/academic partnership will bring
together Becton Dickinson (BD)'s strengths in rare cell capture and molecular analysis, Johns Hopkins'
PDA antigen discovery programs, and Penn's pre-clinical PDA models, robust clinical PDA programs, and
dedicated Circulating Tumor Material Laboratory. First, technologies for efficient enrichment and sorting of
CTC clusters with high purity, recovery and viability will be optimized so that high quality RNA can be
isolated for downstream molecular analyses (RNA-seq). The BD Focus, which is a rare cell enrichment
platform being developed at BD, will be used for pre-enrichment and sorting using a combination of cell
surface antibody and RNA-based probes (i.e., BD's unique “nanoflare” technology). Second, a panel of
candidate CTC biomarkers will be finalized and validated in PDA pre-clinical mouse models as well as
patients with metastatic PDA. Finally, we will establish proof of concept for the CTC biomarkers to predict
and monitor the metastatic burden of a cohort of PDA patients starting at diagnosis and continuing after
commencement of therapy, and at time points coinciding with monitoring CT scans. Single cell and
clustered CTC counts and molecular signature will be correlated with metastatic burden, and survival. The
ability to enrich and perform molecular characterization of CTC single cells and clusters will provide a novel
and crucial technology to detect and monitor metastasis in PDA patients so that the appropriate therapeutic
strategies can be utilized in order to increase overall survival rates.
胰腺导管腺癌 (PDA) 的总体五年生存率为 6%,
预计将成为美国 80% PDA 患者癌症相关死亡的第二大原因。
接受手术的患者可能会因诊断时存在无法检测到的转移而遭受复发;
放射照相成像和血液测试的护理标准可能不精确,并且不能预测
循环肿瘤细胞(CTC)被认为介导了大部分转移过程,
虽然 FDA 批准的测试用于计数通过乳房流入血液中的 CTC,
前列腺肿瘤和结直肠肿瘤,此类测试对胰腺肿瘤缺乏足够的敏感性。
结果表明:PDA CTC 异质性促进了更具攻击性的表型;
与较高的转移潜力相关;并且在远端部位播种需要多个克隆。
该提案旨在开发和优化转移性疾病进展的液体。
用于测量单个和簇 CTC 及其分子特征的活检,以便
解决 PDA 患者转移性无创临床监测的迫切未满足需求
这种行业/学术合作将带来负担、疾病进展和治疗反应。
结合 Becton Dickinson (BD) 在稀有细胞捕获和分子分析方面的优势,约翰·霍普金斯大学
PDA 抗原发现计划、Penn 的临床前 PDA 模型、强大的临床 PDA 计划以及
专门的循环肿瘤材料实验室。第一,高效富集和分选技术。
具有高纯度、高回收率和高活力的CTC簇将被优化,从而可以得到高质量的RNA
分离用于下游分子分析 (RNA-seq),这是一种罕见的细胞富集。
BD 正在开发的平台将用于使用细胞组合进行预富集和分选
表面抗体和基于 RNA 的探针(即 BD 独特的“nanoflare”技术)。
候选 CTC 生物标志物将在 PDA 临床前小鼠模型以及
最后,我们将为 CTC 生物标志物进行预测建立概念验证。
并监测一组 PDA 患者从诊断开始到诊断后的转移负担
治疗开始时,以及与监测单细胞和 CT 扫描一致的时间点。
聚集的 CTC 计数和分子特征将与转移负担和生存相关。
富集和执行 CTC 单细胞和簇分子表征的能力将提供一种新颖的方法
以及检测和监测 PDA 患者转移的关键技术,以便采取适当的治疗
可以利用策略来提高总体存活率。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Flow Cytometric Methods for Circulating Tumor Cell Isolation and Molecular Analysis.
用于循环肿瘤细胞分离和分子分析的流式细胞术方法。
- DOI:10.1007/978-3-319-55947-6_5
- 发表时间:2024-09-13
- 期刊:
- 影响因子:0
- 作者:N. Bhagwat;E. Carpenter
- 通讯作者:E. Carpenter
An integrated enrichment system to facilitate isolation and molecular characterization of single cancer cells from whole blood.
一种集成富集系统,有助于从全血中分离单个癌细胞并进行分子表征。
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Yu, Liping;Sa, Silin;Wang, Ling;Dulmage, Keely;Bhagwat, Neha;Yee, Stephanie S;Sen, Moen;Pletcher Jr, Charles H;Moore, Jonni S;Saksena, Suraj;Dixon, Eric P;Carpenter, Erica L
- 通讯作者:Carpenter, Erica L
Enumeration, Dielectrophoretic Capture, and Molecular Analysis of Circulating Tumor Cells.
循环肿瘤细胞的计数、介电泳捕获和分子分析。
- DOI:
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Yee, Stephanie S;Carpenter, Erica L
- 通讯作者:Carpenter, Erica L
Transcriptional profiling of single tumour cells from pleural effusions reveals heterogeneity of epithelial to mesenchymal transition and extra-cellular matrix marker expression.
胸腔积液中单个肿瘤细胞的转录谱揭示了上皮间质转化和细胞外基质标志物表达的异质性。
- DOI:
- 发表时间:2022-07
- 期刊:
- 影响因子:0
- 作者:Sen, Moen;Hausler, Ryan M;Dulmage, Keely;Black, Taylor A;Murphy, William;Pletcher Jr, Charles H;Wang, Ling;Chen, Chang;Yee, Stephanie S;Bornheimer, Scott J;Maxwell, Kara N;Stanger, Ben Z;Moore, Jonni S;Thompson, Jeffrey C;Carpenter, Erica L
- 通讯作者:Carpenter, Erica L
A Multianalyte Panel Consisting of Extracellular Vesicle miRNAs and mRNAs, cfDNA, and CA19-9 Shows Utility for Diagnosis and Staging of Pancreatic Ductal Adenocarcinoma.
由细胞外囊泡 miRNA 和 mRNA、cfDNA 和 CA19-9 组成的多分析物组合显示出对胰腺导管腺癌的诊断和分期的实用性。
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Yang, Zijian;LaRiviere, Michael J;Ko, Jina;Till, Jacob E;Christensen, Theresa;Yee, Stephanie S;Black, Taylor A;Tien, Kyle;Lin, Andrew;Shen, Hanfei;Bhagwat, Neha;Herman, Daniel;Adallah, Andrew;O'Hara, Mark H;Vollmer, Charles M;Katona, Bryson
- 通讯作者:Katona, Bryson
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Erica Carpenter其他文献
Erica Carpenter的其他文献
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{{ truncateString('Erica Carpenter', 18)}}的其他基金
Combining Machine Learning and Nanofluidic Technology for The Multiplexed Diagnosis of Pancreatic Adenocarcinoma
结合机器学习和纳流体技术进行胰腺癌的多重诊断
- 批准号:
10613226 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Real-time monitoring of circulating pancreatic tumor cells and clusters
实时监测循环胰腺肿瘤细胞和簇
- 批准号:
9512562 - 财政年份:2016
- 资助金额:
$ 15万 - 项目类别:
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