(PQC2)Nanoscale changes in 3D nuclear architecture during breast tumorigenesis

(PQC2)乳腺肿瘤发生过程中 3D 核结构的纳米级变化

基本信息

  • 批准号:
    8840199
  • 负责人:
  • 金额:
    $ 31.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-05-01 至 2018-04-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): This proposed project is to address provocative question 2 from Group C: "How can the physical properties of tumors, such as the cell's electrical, optical or mechanical properties, be used to provide earlier or more reliable cancer detection, diagnosis, prognosis, or monitoring of drug response or tumor recurrence?" We will investigate the optical properties and their associated nanoscale architectural changes in the cell nucleus during carcinogenesis and determine their accuracy in providing earlier and more accurate diagnosis and prognosis of breast cancer. We hypothesize that the nanoscale alterations in nuclear architecture occur early in carcinogenesis and the measurement of easily obtained optical markers of nanoscale changes in nuclear architecture can serve as a cost-effective and accurate tool for earlier and more accurate cancer diagnosis and prognosis. Our group has developed a set of optical microscopy systems that can comprehensively characterize 3D nanoscale alterations in nuclear architecture in carcinogenesis using clinically obtained routine formalin-fixed and paraffin-embedded tissue. Our optical microscopy systems include depth-resolved spatial-domain low-coherence quantitative phase microscopy (depth-resolved SL-QPM) and spectral-encoding of spatial frequency (SESF). We showed that depth-resolved SL-QPM detects structural changes at a sensitivity of 1 nm within a single cell nucleus, while SESF extracts the structural length-scale distribution at an accuracy of ~10-20 nm. Our extensive preliminary data have shown the promise of these optical markers to detect the presence of invasive cancer even from histologically normal cells from multiple tumor types and predict cancer progression risk. Now we propose to use these two optical microscopy systems together with state-of-the-art 3D super-resolution microscopy, to define a set of optical markers and the underlying nanoscale changes in nuclear architecture that are characteristic of each phase of tumorigenesis and identify those that detect "premalignant" changes. Then we will perform a clinical study to evaluate the accuracy of optical markers of nanoscale changes in nuclear architecture to predict breast cancer progression risk among women with pre-cancerous lesions (e.g., atypical hyperplasia (AH)) and pre-invasive cancer of ductal carcinoma in situ (DCIS) to avoid over- treatment. This project, if successful, will establish the alterations of nanoscale nuclear architecture in carcinogenesis, and have profound impact on both tumor biology research and clinical care. It will build a solid foundation for future use of optical markrs of nanoscale changes in nuclear architecture as accurate prognostic markers to predict those women that are likely to progress into invasive cancer.
描述(由申请人提供):该拟议项目是为了解决C组的挑衅性问题2:“如何利用肿瘤的物理特性,如细胞的电学,光学或机械特性,提供更早或更可靠的癌症检测,诊断,预后,或监测药物反应或肿瘤复发?“我们将研究在癌变过程中细胞核的光学特性及其相关的纳米级结构变化,并确定其在提供乳腺癌早期和更准确诊断和预后方面的准确性。我们假设,核结构的纳米级改变发生在癌变的早期,并且容易获得的核结构纳米级变化的光学标记物的测量可以作为早期和更准确的癌症诊断和预后的具有成本效益和准确的工具。我们的小组已经开发了一套光学显微镜系统,可以使用临床获得的常规福尔马林固定和石蜡包埋的组织,全面表征癌变过程中核结构的3D纳米级变化。我们的光学显微镜系统包括深度分辨空间域低相干定量相位显微镜(深度分辨SL-QPM)和空间频率光谱编码(SESF)。我们发现,深度分辨的SL-QPM检测结构变化的灵敏度为1 nm的单细胞核内,而SESF提取的结构长度尺度分布的精度约为10-20 nm。我们广泛的初步数据表明,这些光学标记物有望检测多种肿瘤类型的组织学正常细胞中浸润性癌症的存在,并预测癌症进展风险。现在,我们建议使用这两种光学显微镜系统与最先进的3D超分辨率显微镜一起,定义一组光学标记和核结构中的潜在纳米级变化,这些变化是肿瘤发生的每个阶段的特征,并识别那些检测“癌前”变化的标记。然后,我们将进行临床研究,以评估核结构中纳米级变化的光学标记物的准确性,以预测具有癌前病变的女性中的乳腺癌进展风险(例如,非典型增生(AH))和导管原位癌(DCIS)的浸润前癌,以避免过度治疗。该项目如果成功,将建立肿瘤发生过程中纳米核结构的改变,并对肿瘤生物学研究和临床护理产生深远影响。这将为未来使用核结构中纳米级变化的光学标记物作为准确的预后标记物来预测那些可能进展为浸润性癌症的妇女奠定坚实的基础。

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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 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:
    $ 31.83万
  • 项目类别:

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