Probe-based two photon microscopy for functional, label-free early cancer diagnosis

基于探针的双光子显微镜用于功能性、无标记早期癌症诊断

• 批准号: 10634520
• 负责人: ADELA BEN-YAKAR
• 金额: $ 66.11万
• 依托单位: TUFTS UNIVERSITY MEDFORD
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10634520
• 关键词: Academia; Algorithms; Area; Benign; Biological Markers; Biopsy; Bladder; Breast; Cancer Diagnostics; Cancer Patient; Cancerous; Carcinoma; Cervical; Cervical Cancer Screening; Cervix Uteri; Cessation of life; Clinic; Clinical; Clinical Research; Clinical Treatment; Collection; Colon; Colposcopy; Consumption; Custom; Cytoplasm; Detection; Development; Diagnosis; Diagnostic Procedure; Diameter; Early Diagnosis; Ensure; Epithelium; Esophagus; Evaluation; Fiber; Goals; Hand; Histologic; Histopathology; Human; Image; Image Analysis; In Situ; Inflammation; Label; Lasers; Lesion; Location; Lung; Malignant Neoplasms; Measurement; Medical center; Metabolic; Metabolism; Metaplasia; Methods; Mitochondria; Morphology; NADH; Nature; Nuclear; Optics; Organ; Outcome; Oxidation-Reduction; Pain; Patients; Physicians; Process; Prognosis; Property; Protocols documentation; Relaxation; Reporting; Resolution; Sensitivity and Specificity; Signal Transduction; Site; Skin; Specific qualifier value; Specificity; Survival Rate; System; Techniques; Testing; Thick; Time; Tissue imaging; Tissues; Training; Triage; Variant; Visualization; austin; cancer care; cancer diagnosis; care costs; cervical biopsy; clinical diagnosis; cost; design; detection sensitivity; diagnostic accuracy; diagnostic strategy; effective therapy; experience; first-in-human; fluorescence imaging; forging; imaging platform; imaging probe; imaging system; improved; in vivo; in vivo imaging; in vivo imaging system; innovation; miniaturize; multiphoton imaging; portability; precision medicine; premalignant; psychologic; quantitative imaging; submicron; technology development; tissue biomarkers; two photon microscopy; two-photon

Improvements in the detection of cancerous changes at the pre-invasive stage have the potential to make a significant impact in the prognosis and treatment of most cancer patients. Despite important advances in our understanding of cancer pathobiology, the most prevalent diagnostic methods continue to rely on low magnification tissue visualization, followed by biopsy and histopathology. This process is invasive, often limited in its sensitivity and/or specificity, time-consuming, and relies heavily on the expertise of highly trained physicians, who in turn exploit primarily morphological tissue changes for their assessments. These limitations present barriers to effective treatment and raise monetary and psychological costs. Our long-term objective is to transform pre- and early epithelial cancer diagnosis through the use of functional (metabolic) and morphological tissue biomarkers that are extracted non-invasively, automatically, and in near real time from fiber-probe-based endogenous two-photon (2P) images. In this proposal, we aim to establish and validate such measurements and biomarkers for the detection of human cervical pre-cancers in vivo. The cervix is an ideal organ for developing and testing our approach as it relaxes some of the size limitations presented for endoscopic applications, enabling us to focus on demonstrating the principles of this innovative platform. In addition, we expect that our proposed methods will enable significant near-term improvements in the sensitivity and specificity of detection of cervical pre-cancerous lesions during colposcopy and triage with therapy. To achieve our goals, we have forged a strong partnership among colleagues in academia and the clinic, leveraging strengths and expertise of multiple teams. Specifically, we will exploit our experience in laser development (Xu, Cornell) and multiphoton imaging probe design (Ben-Yakar, UT Austin) to develop a probe-based 2P imaging system that is portable and enables fast image acquisition throughout the cervical epithelium depth with submicron resolution (Aim 1). The final design specifications will be optimized to enable automated, near-real time analysis of images that provides quantitative metrics of metabolic function and morphology (Aim 2). In particular, we will assess: a) multiple quantitative biomarkers of cellular metabolism based on redox ratio and mitochondrial organization parameters extracted from endogenous NAD(P)H and FAD 2P excited fluorescence images of the epithelium, and b) morphological metrics associated with depth-dependent variations of the nuclear to cytoplasmic area ratio and epithelial thickness (Georgakoudi, Tufts). The real time algorithms will be established using freshly excised normal and pre-cancerous human cervical tissues (Aim 2). They will be tested and further optimized in vivo when the innovative 2P imaging platform will be used to perform the first-in-human 2P probe-based imaging during colposcopy (Thieu/Genega, Tufts Medical Center) (Aim3). We expect these studies will provide high sensitivity and specificity of cervical pre-cancer detection and will enable further studies that have the potential to change the paradigm of diagnosis and ultimately prognosis for a broad range of cancers that are accessible via a probe.

在侵入前阶段检测癌性变化的改进有可能使 对大多数癌症患者的预后和治疗有重要影响。尽管我们在这方面取得了重大进展， 尽管对癌症病理生物学的理解，最普遍的诊断方法仍然依赖于低水平的 放大组织可视化，然后进行活检和组织病理学检查。这个过程是侵入性的，通常是有限的 在其敏感性和/或特异性，耗时，并在很大程度上依赖于训练有素的专业知识， 医生，他们反过来主要利用形态组织变化进行评估。这些限制 对有效治疗构成障碍，并增加金钱和心理成本。我们长远的目标是 通过使用功能性（代谢）和形态学检查， 组织生物标记物，其非侵入性地、自动地并且在接近真实的时间内从基于光纤探针的 内源性双光子（2 P）图像。在本提案中，我们的目标是建立和验证此类测量， 用于体内检测人宫颈癌前病变的生物标志物。子宫颈是发育的理想器官 并测试我们的方法，因为它放宽了内窥镜应用的一些尺寸限制， 使我们能够专注于展示这个创新平台的原则。此外，我们预计， 所提出的方法将使检测的灵敏度和特异性在近期内得到显著改善 宫颈癌前病变的阴道镜检查和治疗分流。为了实现我们的目标，我们 在学术界和诊所的同事之间建立了牢固的伙伴关系，利用 多个团队具体来说，我们将利用我们在激光发展（徐，康奈尔大学）和多光子 成像探头设计（Ben-Yakar，UT Austin）开发基于探头的2 P成像系统，该系统便携且 能够以亚微米分辨率在整个宫颈上皮深度快速采集图像（Aim 1）。的 最终的设计规格将得到优化，以便能够对图像进行自动化、近实时分析， 代谢功能和形态的定量度量（目标2）。具体而言，我们将评估：a）多个 基于氧化还原比和线粒体组织参数的细胞代谢的定量生物标志物 从上皮的内源性NAD（P）H和FAD 2 P激发的荧光图像中提取，和B） 与核质面积比的深度依赖性变化相关的形态学指标， 上皮厚度（Georgakoudi，Tufts）。真实的时间算法将使用新切除的 正常和癌前人类宫颈组织（Aim 2）。它们将在体内进行测试和进一步优化， 创新的2 P成像平台将用于执行第一次在人体2 P探头为基础的成像， 阴道镜检查（Thieu/Genega，Tufts Medical Center）（Aim 3）。我们希望这些研究将提供高灵敏度 和特异性的宫颈癌前检测，并将使进一步的研究，有可能改变 诊断和最终预后的范例，广泛的癌症，可通过探针访问。

项目成果

Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms.

使用基于多尺度的基于深度学习的denoising算法，从无标签的两光子人体组织图像中恢复代谢功能指标。

• DOI: 10.1117/1.jbo.28.12.126006
• 发表时间: 2023-12
• 期刊: JOURNAL OF BIOMEDICAL OPTICS
• 影响因子: 3.5
• 作者: Vora, Nilay;Polleys, Christopher M.;Sakellariou, Filippos;Georgalis, Georgios;Thieu, Hong-Thao;Genega, Elizabeth M.;Jahanseir, Narges;Patra, Abani;Miller, Eric;Georgakoudi, Irene
• 通讯作者: Georgakoudi, Irene

Label-Free Optical Metabolic Imaging in Cells and Tissues.

• DOI: 10.1146/annurev-bioeng-071516-044730
• 发表时间: 2023-06-08
• 期刊: Annual review of biomedical engineering
• 影响因子: 9.7

Extracellular Hsp90 Binds to and Aligns Collagen-1 to Enhance Breast Cancer Cell Invasiveness.

细胞外HSP90与胶原-1结合并对齐以增强乳腺癌细胞的侵入性。

• DOI: 10.3390/cancers15215237
• 发表时间: 2023-10-31
• 期刊: CANCERS
• 影响因子: 5.2
• 作者: Singh, Pragya;Ramanathan, Varshini;Zhang, Yang;Georgakoudi, Irene;Jay, Daniel G.
• 通讯作者: Jay, Daniel G.

Formalin fixation and paraffin embedding interfere with preservation of optical metabolic assessments based on endogenous NAD(P)H and FAD two photon excited fluorescence.

福尔马林固定和石蜡包埋会干扰基于内源性 NAD(P)H 和 FAD 双光子激发荧光的光学代谢评估的保存。

• DOI: 10.1101/2023.06.16.545363
• 发表时间: 2023
• 期刊: bioRxiv : the preprint server for biology
• 作者: Sánchez-Hernández,Adriana;Polleys,ChristopherM;Georgakoudi,Irene
• 通讯作者: Georgakoudi,Irene