Optical imaging of pancreas cancer organoids for drug development and personalized treatment
胰腺癌类器官的光学成像用于药物开发和个性化治疗
基本信息
- 批准号:10223218
- 负责人:
- 金额:$ 55.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:3-DimensionalAdjuvantArchitectureBiopsyBiopsy SpecimenCaringCell CommunicationCellsCessation of lifeClinical TrialsDataDevelopmentDevelopment PlansDiseaseDrug Delivery SystemsDrug MonitoringDrug ScreeningDrug ToleranceDrug resistanceEarly DiagnosisEnzymesFibroblastsFluorescenceGoalsGoldHumanImageImaging technologyIndividualMalignant NeoplasmsMalignant neoplasm of pancreasMass Spectrum AnalysisMetabolicModelingMonitorMorbidity - disease rateMusNADHNeoplasm MetastasisOperative Surgical ProceduresOpticsOrganoidsPancreatic Ductal AdenocarcinomaPatientsPharmaceutical PreparationsPopulation DensityPrediction of Response to TherapyPrimary NeoplasmPrognosisProgression-Free SurvivalsRegimenSamplingStromal CellsStromal NeoplasmSuspensionsSystemTechniquesTechnologyTestingTimeToxic effectTreatment EfficacyTumor Volumebasecell typechemotherapycohortdrug developmentdrug response predictionimaging approachimprovedimproved outcomein vivoinhibitor/antagonistmetabolic imagingmortalitymouse modelneoplastic cellnovelnovel therapeuticsoptical imagingpancreatic ductal adenocarcinoma modelpatient responsepersonalized medicinerefractory cancerresponsesingle cell analysisstandard measurestandard of carethree dimensional cell culturetooltreatment planningtumor
项目摘要
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive and poorly understood disease that has the
worst prognosis of all cancers (5 year survival of 7%), with more than 40,000 deaths per year in the US. Standard-
of-care treatment for PDAC includes surgery and chemotherapy. Many patients receive chemotherapy after
surgery (“adjuvant treatment”), to improve progression-free survival. About 45-55% of patients present with
metastatic disease and immediately begin chemotherapy if tolerated. Unfortunately, there are significant
toxicities associated with chemotherapy, and there are no tools to determine whether a patient will benefit from
a more toxic versus a less toxic drug. Additionally, there is no rational system to match each patient with the
most promising new drug for their cancer. Finally, there are few effective drugs for PDAC, and therefore a
demand for accelerated drug development. Thus, there is a critical need to improve the care of PDAC patients
through reduced toxicities, rational treatment planning, and new drug development.
The goal of this proposal is to develop novel cellular-level imaging technologies to predict treatment response
in individual PDAC patients, using macro-suspensions of the patients’ tumors maintained in a 3D culture
(“organoids”). This non-invasive optical metabolic imaging (OMI) approach exploits the intrinsic fluorescence
intensity and lifetime of the metabolic co-enzymes NADH and FAD to image drug response on a single-cell level
across all cells in the intact 3D sample. This single-cell analysis allows for heterogeneous drug response to be
monitored over a treatment time-course in tumor cells and stromal cells. This is important for assessing treatment
efficacy in the highly heterogeneous and stromal micro-environment of PDAC. The use of primary tumor
organoids derived from the patients’ own tumor also maintains the cell-cell communication, 3D architecture, and
tumor-stromal interactions that are critical to accurately assess drug response. Our preliminary data indicate that
OMI in primary PDAC organoids (1) accurately predicts in vivo drug response in mice, and (2) can identify drugs
that effectively target tumor fibroblasts for stromal re-organization and improved drug delivery. We have also
established feasibility for human testing in 6 PDAC patients. This novel platform provides great potential for (1)
rapidly testing new drug regimens on relevant patient samples, thus accelerating PDAC drug development, and
(2) providing individualized drug screens to identify the most effective and least toxic treatment for each patient.
This proposal will test the hypothesis that OMI of primary PDAC organoids can accurately predict in vivo
treatment efficacy in mice and humans. This approach will be validated on mouse models of PDAC, on primary
patient samples in the adjuvant treatment setting, and on primary patient samples in the metastatic treatment
setting. The proposed development of dynamic, single-cell assessment techniques to monitor drug response in
multiple cell types within intact mouse and human PDAC organoids holds great promise for rational drug
development and treatment planning that could ultimately reduce toxicities and improve outcomes in patients.
胰腺导管腺癌(Pancreatic ductal adencarcinoma, PDAC)是一种侵袭性且鲜为人知的疾病
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Melissa Caroline Skala其他文献
Melissa Caroline Skala的其他文献
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{{ truncateString('Melissa Caroline Skala', 18)}}的其他基金
Development and Validation of Photothermal Optical Coherence Tomography for Retinal Imaging
用于视网膜成像的光热光学相干断层扫描的开发和验证
- 批准号:
10550200 - 财政年份:2022
- 资助金额:
$ 55.49万 - 项目类别:
Development and Validation of Photothermal Optical Coherence Tomography for Retinal Imaging
用于视网膜成像的光热光学相干断层扫描的开发和验证
- 批准号:
10380391 - 财政年份:2022
- 资助金额:
$ 55.49万 - 项目类别:
Optical imaging of pancreas cancer organoids for drug development and personalized treatment
胰腺癌类器官的光学成像用于药物开发和个性化治疗
- 批准号:
9388210 - 财政年份:2017
- 资助金额:
$ 55.49万 - 项目类别:
Optical imaging of pancreas cancer organoids for drug development and personalized treatment
胰腺癌类器官的光学成像用于药物开发和个性化治疗
- 批准号:
9769226 - 财政年份:2017
- 资助金额:
$ 55.49万 - 项目类别:
(PQ7) Quantitative in vivo optical imaging of tumor heterogeneity
(PQ7) 肿瘤异质性的定量体内光学成像
- 批准号:
9323359 - 财政年份:2016
- 资助金额:
$ 55.49万 - 项目类别:
Cellular level optical metabolic imaging to predict drug response in cancer
细胞水平光学代谢成像预测癌症药物反应
- 批准号:
9298127 - 财政年份:2014
- 资助金额:
$ 55.49万 - 项目类别:
Cellular level optical metabolic imaging to predict drug response in cancer
细胞水平光学代谢成像预测癌症药物反应
- 批准号:
9767107 - 财政年份:2014
- 资助金额:
$ 55.49万 - 项目类别:
Cellular level optical metabolic imaging to predict drug response in cancer
细胞水平光学代谢成像预测癌症药物反应
- 批准号:
9138626 - 财政年份:2014
- 资助金额:
$ 55.49万 - 项目类别:
Functional Optical Coherence Tomography for Monitoring Drug Resistance in Cancer
用于监测癌症耐药性的功能光学相干断层扫描
- 批准号:
8128195 - 财政年份:2010
- 资助金额:
$ 55.49万 - 项目类别:
Functional Optical Coherence Tomography for Monitoring Drug Resistance in Cancer
用于监测癌症耐药性的功能光学相干断层扫描
- 批准号:
8307913 - 财政年份:2010
- 资助金额:
$ 55.49万 - 项目类别:
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