Development of Microscopic Spectral Markers for Diagnosis of Pancreatic Lesions

用于诊断胰腺病变的显微光谱标记物的开发

基本信息

  • 批准号:
    7976352
  • 负责人:
  • 金额:
    $ 19.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-07-01 至 2012-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Pancreatic cancer (PC) remains one of the most deadly cancers, with a dismal 5-year survival rate of less than 5%. Endoscopic ultrasound (EUS) guided fine-needle aspiration (FNA) cytology is often performed to obtain a pathological diagnosis of suspicious pancreatic solid and cystic lesions to guide further management of patients (i.e., preoperative surgical planning or neoadjuvant treatment). However, cytology is often stymied by the average sensitivity of 80% for pancreatic solid lesions and even more dismal sensitivity of less than 30% for diagnosing malignancy in cystic lesions. The efficacy of existing tumor markers also remains sub-optimal. The major objective of this application is to explore endogenous microscopic spectral markers as potential biomarkers to improve the diagnostic accuracy of malignancy on pancreatic solid and cystic lesions. To achieve this goal, we will address the development of a novel optical instrument - multi-mode multi- dimensional partial-wave spectroscopic microscopy (MD-PWS) that provides a comprehensive assessment of multi-dimensional elastic light-scattering signals that contain a full set of 3D wave-vectors at sub-cellular or molecular level. We hypothesize that MD-PWS derived microscopic spectral markers will detect subtle structural alterations in cytologically non-malignant-appearing cells from patients with pancreatic cancer and pancreatic cyst that carries a high malignant potential, more sensitive than conventional cytology or other clinically available biomarkers. We will explore the feasibility of MD-PWS microscopic spectral markers to improve the cytological diagnosis of malignancy in pancreatic solid lesions as well as cystic lesions. MD-PWS derived microscopic spectral markers will also provide significant insights into the structural characteristics of pancreatic cells at sub-cellular level. The results from this project will serve as a justification for a multi-center collaboration to fully evaluate this technology in a clinical setting. Our long-term goal is to develop a simple, cost-effective and highly sensitive microscopy system to improve the diagnostic accuracy and development of risk stratification strategies for pancreatic cancer. Ultimately, our proposed technology could also lead to development of better diagnostic protocols for a wide variety of cancers. PUBLIC HEALTH RELEVANCE: This project is significant to the public health issue of diagnosis and early detection of pancreatic cancer. The accurate diagnosis of pancreatic solid and cystic lesions is clinically challenging. A highly sensitive microscopy system to improve the diagnostic accuracy for pancreatic malignancy and high-risk cystic lesions that have a high malignant potential could help the development of risk stratification and prevention strategies for pancreatic cancer.
描述(由申请人提供):胰腺癌(PC)仍然是最致命的癌症之一,5年生存率低于5%。通常进行内镜超声(EUS)引导的细针抽吸(FNA)细胞学检查以获得可疑胰腺实性和囊性病变的病理诊断,从而指导患者的进一步管理(即,术前手术计划或新辅助治疗)。然而,细胞学检查通常会受到胰腺实体病变平均灵敏度为80%的阻碍,而诊断囊性病变中恶性肿瘤的灵敏度更低,低于30%。现有的肿瘤标志物的疗效也仍然不理想。本申请的主要目的是探索内源性显微光谱标记物作为潜在的生物标志物,以提高胰腺实性和囊性病变恶性肿瘤的诊断准确性。为了实现这一目标,我们将致力于开发一种新型的光学仪器-多模多维分波光谱显微镜(MD-PWS),其提供多维弹性光散射信号的全面评估,该信号包含亚细胞或分子水平的全套3D波矢量。我们假设MD-PWS衍生的显微光谱标记物将检测来自胰腺癌和胰腺囊肿患者的细胞学非恶性外观细胞中的细微结构改变,这些细胞具有高恶性潜力,比传统细胞学或其他临床可用的生物标记物更敏感。我们将探讨MD-PWS显微光谱标记物的可行性,以提高胰腺实性病变以及囊性病变恶性肿瘤的细胞学诊断。MD-PWS衍生的显微光谱标记物也将为亚细胞水平上胰腺细胞的结构特征提供重要见解。该项目的结果将作为多中心合作的理由,以在临床环境中充分评价该技术。我们的长期目标是开发一种简单,成本效益高,灵敏度高的显微镜系统,以提高胰腺癌诊断的准确性和风险分层策略的发展。最终,我们提出的技术还可以为各种癌症开发更好的诊断方案。 公共卫生相关性:该项目对胰腺癌的诊断和早期发现的公共卫生问题具有重要意义。胰腺实性和囊性病变的准确诊断在临床上具有挑战性。一个高灵敏度的显微镜系统,以提高诊断准确性胰腺恶性肿瘤和高风险的囊性病变,具有较高的恶性潜力,可以帮助胰腺癌的风险分层和预防策略的发展。

项目成果

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Yang Liu其他文献

Formal Verification of Process Layer with Petri nets and Z
使用 Petri 网和 Z 对过程层进行形式化验证
An efficient p-ECR move based on maximum likelihood by neighbor joining
基于邻居加入最大似然的高效 p-ECR 移动
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Yang Liu;Jian-Fu Li;Mao-Zu Guo,
  • 通讯作者:
    Mao-Zu Guo,
Secure multi-label data classification in cloud by additionally homomorphic encryption
通过额外的同态加密在云中保护多标签数据分类
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yi Liu Yu Luo;Youwen Zhu;Yang Liu;Xingxin Li
  • 通讯作者:
    Xingxin Li
Requirement Verification of Networked Software Goals with Multi-valued Logic
具有多值逻辑的网络化软件目标的需求验证

Yang Liu的其他文献

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{{ truncateString('Yang Liu', 18)}}的其他基金

Spatially resolved multiomics profiling of microbes and their host tissue
微生物及其宿主组织的空间分辨多组学分析
  • 批准号:
    10713736
  • 财政年份:
    2023
  • 资助金额:
    $ 19.01万
  • 项目类别:
Mapping the Cellular Responses to DNA Double-Strand Breaks Using On-Demand CRISPR technologies and High-resolution Fluorescence Microscopy
使用按需 CRISPR 技术和高分辨率荧光显微镜绘制细胞对 DNA 双链断裂的反应
  • 批准号:
    10715720
  • 财政年份:
    2023
  • 资助金额:
    $ 19.01万
  • 项目类别:
Climate & Health Actionable Research and Translation Center
气候
  • 批准号:
    10835460
  • 财政年份:
    2023
  • 资助金额:
    $ 19.01万
  • 项目类别:
Climate & Health Actionable Research and Translation Center
气候
  • 批准号:
    10835461
  • 财政年份:
    2023
  • 资助金额:
    $ 19.01万
  • 项目类别:
Super-Resolution Imaging of Higher-Order Heterochromatin Structure for Early Detection of Lung Carcinogenesis
高阶异染色质结构的超分辨率成像用于早期检测肺癌
  • 批准号:
    10435645
  • 财政年份:
    2022
  • 资助金额:
    $ 19.01万
  • 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
  • 批准号:
    10398183
  • 财政年份:
    2020
  • 资助金额:
    $ 19.01万
  • 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
  • 批准号:
    10605199
  • 财政年份:
    2020
  • 资助金额:
    $ 19.01万
  • 项目类别:
Imaging nanoscale chromatin folding in early carcinogenesis
早期致癌过程中纳米级染色质折叠的成像
  • 批准号:
    10223251
  • 财政年份:
    2020
  • 资助金额:
    $ 19.01万
  • 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
  • 批准号:
    9756510
  • 财政年份:
    2019
  • 资助金额:
    $ 19.01万
  • 项目类别:
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk
基于三维纳米级核结构映射的前体病变分类法用于预测结直肠癌风险
  • 批准号:
    10590702
  • 财政年份:
    2019
  • 资助金额:
    $ 19.01万
  • 项目类别:

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