Supplement to Support the Development of a New Multiplexed Imaging Tool using Raman Spectroscopy for Breast Cancer
支持开发使用拉曼光谱治疗乳腺癌的新型多重成像工具的补充材料
基本信息
- 批准号:10839117
- 负责人:
- 金额:$ 6.55万
- 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
- 起止时间:2023-08-16 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:AffinityAntibody AvidityBar CodesBindingBiological MarkersBreast Cancer PatientCellular AssayChargeChemicalsClinicalCollectionConsumptionContrast MediaDetectionDevelopmentDiagnosisDiseaseEnsureFailureGoldHealth Care CostsHistologyImageImaging DeviceImaging TechniquesImmunotherapyIn VitroIndividualLigandsMapsMolecularMolecular ProfilingMonoclonal AntibodiesMorbidity - disease rateNanosphereOncologistPathologistPathologyPatient-Focused OutcomesPatientsPhysiciansPrediction of Response to TherapyPropertyProteinsPublic HealthRaman Spectrum AnalysisRegimenResearchSamplingSilicon DioxideSpecimenStainsSurfaceTechniquesTechnologyTestingTherapeuticTimeTissuesWomanantibody conjugatecancer cellcareer developmentchemical propertyclinical applicationclinical translationcontrast imagingdesigndetection sensitivityeffective therapyimaging approachimprovedindividual patientineffective therapiesmalignant breast neoplasmmolecular imagingmultiplexed imagingnanoparticleneoplastic cellnoveloptical imagingoverexpressionpathology imagingpatient stratificationpredicting responseprogrammed cell death ligand 1programmed cell death protein 1receptor expressionside effectsingle cell analysisspectrographtargeted biomarkertargeted treatmenttherapeutically effectivetooltreatment optimizationtreatment responsetumortumor heterogeneity
项目摘要
Project Summary
Breast cancer, in particular, is very heterogeneous with many morphological and molecular features that present
differently across patients. Failure to fully understand the molecular expression and tumor heterogeneity across a
patient's tumor can lead to administration of ineffective therapies that increase patient morbidity and healthcare
costs. The -omics era has made it possible to identify several new molecular markers involved in breast cancer
development, survival, invasion and even predicting treatment response. We currently lack an easy way to obtain
high content molecular information while providing high resolution spatial profiling across a patient's tumor. This
proposal aims to provide physicians with an entirely new multiplexed molecular imaging strategy that has the potential
to offer both high content molecular expression and spatial profiling in a single histology image. Raman
spectroscopy in conjunction with surface enhanced Raman scattering (SERS) nanoparticles is an optical imaging
technique that can offer unsurpassed sensitivity (on the order of fM) and multiplexing capabilities to the field of
histology imaging with the potential to provide rich molecular details on the microscopic level. Clinicians will be
able to utilize the imaging strategy on the same tissue sections prepared for histology. Incorporating it into the
pathology workfiow could enable physicians to better understand the patient's tumor type and stratify patients to
receive the most effective therapeutic regimen possible. This unique histology imaging strategy also has the
potential to identify new molecular trends in patient's tissue samples that could be used to predict how aggressive
their tumor is or how well the patient is likely to respond to given therapies. This innovative ex-vivo diagnostic
strategy has a high likelihood for clinical translation; offering rapid whole tissue section imaging for multiple
biomarkers simultaneously. Our approach begins by developing a new set of sensitive SERS nanoparticle (NP)
batches, each designed with a unique spectral barcode to enable simultaneous molecular interrogation of an entire
tissue sample within a single image. After fabrication and characterization of our newly developed multiplexed SERS
nano particles, we will test their multiplexed imaging capabilities and tumor targeting efficiency in various breast cancer
models including cell culture and on de-identified tissue sections. Our nanoparticles will actively target multiple breast
cancer receptors through chemically conjugated targeting ligands. We will assess the tumor targeting efficiency of
our newly developed nanoparticles with microscopic Raman imaging tools and compare with gold standard
immunohistochemistry {IHC) staining. These results will be an important step in the clinical translation of this new
multiplexed Raman imaging approach; to provide rapid spatial molecular profiling of a given tumor while enabling
a more effective personalized therapy to the patient.
项目摘要
尤其是乳腺癌,是一种异质性很强的肿瘤,具有许多形态和分子特征
不同患者的情况有所不同。未能完全了解分子表达和肿瘤的异质性
患者的肿瘤可能导致无效的治疗,从而增加患者的发病率和医疗保健
成本。组学时代使识别与乳腺癌有关的几个新的分子标记成为可能
发展、生存、侵袭,甚至预测治疗反应。我们目前缺乏一种简单的方法来获得
高含量的分子信息,同时提供跨越患者肿瘤的高分辨率空间轮廓。这
该提案旨在为医生提供一种全新的多路复用分子成像策略,该策略具有
在单一的组织学图像中提供高含量的分子表达和空间轮廓。拉曼
光谱与表面增强拉曼散射(SERS)纳米颗粒相结合是一种光学成像
一种技术,可以提供无与伦比的灵敏度(在FM数量级上)和多路复用能力
组织学成像有可能在微观水平上提供丰富的分子细节。临床医生将会
能够在为组织学准备的相同组织切片上使用成像策略。将其合并到
病理学工作可以使医生更好地了解患者的肿瘤类型,并对患者进行分层
尽可能接受最有效的治疗方案。这种独特的组织成像策略还具有
有可能在患者组织样本中识别新的分子趋势,用于预测侵袭性有多强
他们的肿瘤或患者对给定治疗的反应有多好。这一创新的体外诊断
战略具有很高的可能性临床翻译;提供快速全组织切片成像为多发性
生物标志物同时存在。我们的方法首先是开发一套新的敏感的SERS纳米颗粒(NP)
批次,每个批次都设计有唯一的光谱条形码,以实现对整个
单个图像中的组织样本。在我们新开发的多路SERS制作和表征之后
纳米粒子,我们将测试其多重成像能力和肿瘤靶向效率在各种乳腺癌
模型包括细胞培养和未识别的组织切片。我们的纳米粒子将积极针对多个乳房
肿瘤受体通过化学共轭的靶向配体。我们将评估其肿瘤靶向效率。
我们新开发的纳米粒子和显微拉曼成像工具,并与金标准进行了比较
免疫组织化学(IHC)染色。这些结果将是这一新的临床翻译的重要一步
多路复用拉曼成像方法;提供给定肿瘤的快速空间分子轮廓,同时使
为患者提供更有效的个性化治疗。
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)
Multiplexing potential of NIR resonant and non-resonant Raman reporters for bio-imaging applications.
- DOI:10.1039/d3an01298k
- 发表时间:2023-10
- 期刊:
- 影响因子:0
- 作者:O. Eremina;Sarah Schaefer;Alexander T Czaja;Samer Awad;Matthew A Lim;Cristina Zavaleta
- 通讯作者:O. Eremina;Sarah Schaefer;Alexander T Czaja;Samer Awad;Matthew A Lim;Cristina Zavaleta
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Cristina L. Zavaleta其他文献
Cristina L. Zavaleta的其他文献
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{{ truncateString('Cristina L. Zavaleta', 18)}}的其他基金
A New Multimodal Molecular Imaging Approach to Guide Intra-Operative Tumor Resection and Post-Operative Treatment Planning
一种新的多模态分子成像方法来指导术中肿瘤切除和术后治疗计划
- 批准号:
10578468 - 财政年份:2023
- 资助金额:
$ 6.55万 - 项目类别:
A New Strategy for Cancer Detection using Raman Spectroscopy with Nanoparticles
使用纳米颗粒拉曼光谱检测癌症的新策略
- 批准号:
8700750 - 财政年份:2014
- 资助金额:
$ 6.55万 - 项目类别:
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