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Han D, Yang M, Feng Z, Wu Y, Sojic N, Jiang D. Thickness-Resolved Electrochemiluminescence Microscopy of Extracellular Matrix at Tumor Tissues for Rapid Cancer Diagnosis. ACS APPLIED MATERIALS & INTERFACES 2024; 16:32078-32086. [PMID: 38865735 DOI: 10.1021/acsami.4c05735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
The traditional recognition of extracellular matrix (ECM) at tissue sections relies on the time-consuming immunofluorescence that could not meet the demand of rapid diagnosis. Herein, we introduce a thickness-resolved electrochemiluminescence (ECL) microscopy to image thin-layer ECM at tissue sections for fast histopathological analysis. The unique surface-confined ECL mechanism enables to unveil the diversity and complexity of multiple tissue structures with varying thicknesses. Notably, the short lifetimes and the limited diffusion of electrogenerated coreactant radicals combined with their chemical reactivity result in a 2-fold increase in ECL intensity on ECM structures compared to the remaining tissue, enabling ECM visualization without specific labeling. The further quantitation of the ECM localization within tissue sections furnishes crucial insights into tumor progression and, more importantly, differentiates carcinoma and paracancerous tissues from patients in less than 30 min. Moreover, the reported electrochemistry-based microscopy is a dynamic approach allowing to investigate the transport, tortuosity, and trafficking properties through the tissues. This thickness-resolved recognition strategy not only opens new avenues for imaging complex samples but also holds promise for expediting tissue pathologic diagnosis, offering a more automated protocol with enhanced quantitative data compared to current intraoperative pathology methods.
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Affiliation(s)
- Dongni Han
- State Key Laboratory of Analytical Chemistry for Life Science and School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China
| | - Mi Yang
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School and Clinical Cancer Institute of Nanjing University, Nanjing 210008, China
| | - Zengyu Feng
- Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China
| | - Yulian Wu
- Department of General Surgery, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310009, China
| | - Neso Sojic
- Institute des Sciences Moléculaires, UMR 5255, 16 avenue Pey-Berland, University of Bordeaux, Pessac 33607, France
| | - Dechen Jiang
- State Key Laboratory of Analytical Chemistry for Life Science and School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China
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Vallmitjana A, Dvornikov A, Torrado B, Jameson DM, Ranjit S, Gratton E. Resolution of 4 components in the same pixel in FLIM images using the phasor approach. Methods Appl Fluoresc 2020; 8:035001. [PMID: 32235070 DOI: 10.1088/2050-6120/ab8570] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
In several cellular systems, the phasor FLIM approach has shown the existence of more than 2 components in the same pixel, a typical example being free and bound NADH. In order to properly quantify the concentrations and the spatial distributions of fluorescence components associated with different molecular species we developed a general method to resolve 3 and 4 components in the same pixel using the phasor approach. The method is based on the law of linear combination of components valid after transformation of the decay curves to phasors for each pixel in the image. In principle, the linear combination rule is valid for an arbitrary number of components. For 3 components we use only the phasor position for the first harmonic, which has a small error, while for 4 components we need the phasor location at higher harmonics that have intrinsically more noise. As a result of the noise in the higher harmonics, caused by limited photon statistics, we are able to use linear algebra to resolve 4 components given the position of the phasors of 4 independent components in mixtures of dyes and 3 components for dyes in cellular systems.
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Affiliation(s)
- Alexander Vallmitjana
- Laboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, CA, United States of America
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Nasrin A, Hassan M, Ye P. Inhibition of Notch signaling pathway using γ-secretase inhibitor delivered by a low dose of Triton-X100 in cultured oral cancer cells. Biochem Biophys Res Commun 2017; 495:2118-2124. [PMID: 29253571 DOI: 10.1016/j.bbrc.2017.12.082] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 12/15/2017] [Indexed: 01/23/2023]
Abstract
How to effectively delivering therapeutic agents, including γ-secretase inhibitors (GSIs), into live cells, remains a significant challenge. This study assessed the effect of Notch signaling inhibition by examining levels of the Notch1 intracellular domain (N1ICD) in cultured oral cancer cells analyzed with random stitched images (2D) and 3D visualizations using confocal microscopy and quantitative gene analysis. Substantially, we have developed a novel method to assist the delivery of γ-secretase inhibitor, DAPT, into live cells in the presence of an effective minimum concentration of Triton-X100 (0.001%) without damaging cell activity and membrane integrity assessed with cell proliferation assays. The images obtained in this study showed that DAPT alone could not block the γ-secretase inhibitor despite inhibiting cell growth. Further analysis of quantitative gene expressions of Notch signaling canonical pathway to verify the effectiveness of the novel method for delivering inhibitor into live cells, displayed deregulation of Notch1, Delta-like ligand 1 (DLL1) and hairy and enhancer of split 1 (Hes1). Our data suggest that Notch1/Hes1 signaling pathway is deactivated using DAPT with a low dose of Triton-X100 in this cancer cells. And the finding also suggests that Notch1 could be engaged by DLL1 to promote differentiation in oral cancer cells. Using this approach, we demonstrate that Triton-X100 is a promising and effective permeabilization agent to deliver γ-secretase inhibitor DAPT into live oral epithelial cells. This strategy has the potential to implicate in the treatment of cancer diseases.
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Affiliation(s)
- Aklima Nasrin
- Faculty of Dentistry, The University of Sydney, Sydney, Australia
| | - Mahbub Hassan
- School of Chemical & Biomolecular Engineering, The University of Sydney, Sydney, Australia
| | - Ping Ye
- Faculty of Dentistry, The University of Sydney, Sydney, Australia; Institute of Dental Research, Centre for Oral Health, Westmead Hospital, Westmead, Australia.
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Kim SC, Im W, Shim JY, Kim SK, Kim BJ. Static magnetic field controls cell cycle in cultured human glioblastoma cells. Cytotechnology 2016; 68:2745-2751. [PMID: 27121019 DOI: 10.1007/s10616-016-9973-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 04/19/2016] [Indexed: 11/29/2022] Open
Abstract
Magnetic field has been widely used in clinical diagnostics or for clinical treatment and is an important biomedical technology. Glioblastoma multiforme U87 and U251 are models of a fast growing malignant cancer. We focused on cellular level drafting of these cell lines as a time-dependent effect indicator of static magnetic fields (2000 ± 600 Gauss) by using their fast-growing properties. Cell viability showed a significant decrease (p < 0.01). The results coincided with the occurrence of apoptotic signals or protein expression of cyclin B1 and cyclin dependent kinase 1 in a non-apoptotic manner. Cdk1 was decreased in proportion to ankyrin G and cyclin B1 (Chi-square test, p = 0.0366). Our findings suggest that static magnetic stimulation creates a specific cyto-proliferative pattern, rather than producing randomized growth impairment.
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Affiliation(s)
- Seung Chan Kim
- Medical School, College of Medicine, Yonsei University, Yonsei-ro 50, Shinchon-dong, Seodaemoon-gu, Seoul, South Korea.
| | - Wooseok Im
- Seoul National University Hospital, Seoul, South Korea
| | - Jay Yong Shim
- Seoul National University Hospital, Seoul, South Korea
| | - Seung-Ki Kim
- Seoul National University Hospital, Seoul, South Korea
| | - Beom Jin Kim
- Department of Mathematics, Yonsei University, Seoul, South Korea
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Dobbs JL, Mueller JL, Krishnamurthy S, Shin D, Kuerer H, Yang W, Ramanujam N, Richards-Kortum R. Micro-anatomical quantitative optical imaging: toward automated assessment of breast tissues. Breast Cancer Res 2015; 17:105. [PMID: 26290094 PMCID: PMC4545917 DOI: 10.1186/s13058-015-0617-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 07/15/2015] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Pathologists currently diagnose breast lesions through histologic assessment, which requires fixation and tissue preparation. The diagnostic criteria used to classify breast lesions are qualitative and subjective, and inter-observer discordance has been shown to be a significant challenge in the diagnosis of selected breast lesions, particularly for borderline proliferative lesions. Thus, there is an opportunity to develop tools to rapidly visualize and quantitatively interpret breast tissue morphology for a variety of clinical applications. METHODS Toward this end, we acquired images of freshly excised breast tissue specimens from a total of 34 patients using confocal fluorescence microscopy and proflavine as a topical stain. We developed computerized algorithms to segment and quantify nuclear and ductal parameters that characterize breast architectural features. A total of 33 parameters were evaluated and used as input to develop a decision tree model to classify benign and malignant breast tissue. Benign features were classified in tissue specimens acquired from 30 patients and malignant features were classified in specimens from 22 patients. RESULTS The decision tree model that achieved the highest accuracy for distinguishing between benign and malignant breast features used the following parameters: standard deviation of inter-nuclear distance and number of duct lumens. The model achieved 81 % sensitivity and 93 % specificity, corresponding to an area under the curve of 0.93 and an overall accuracy of 90 %. The model classified IDC and DCIS with 92 % and 96 % accuracy, respectively. The cross-validated model achieved 75 % sensitivity and 93 % specificity and an overall accuracy of 88 %. CONCLUSIONS These results suggest that proflavine staining and confocal fluorescence microscopy combined with image analysis strategies to segment morphological features could potentially be used to quantitatively diagnose freshly obtained breast tissue at the point of care without the need for tissue preparation.
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Affiliation(s)
- Jessica L Dobbs
- Department of Bioengineering, Rice University, 6500 Main Street, BRC 502, Houston, TX, 77030, USA.
| | - Jenna L Mueller
- Department of Biomedical Engineering, Duke University, 101 Science Drive, Room 136 Hudson Hall, Box 90281, Durham, NC, 27708, USA.
| | - Savitri Krishnamurthy
- Department of Pathology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1350, Houston, TX, 77030, USA.
| | - Dongsuk Shin
- Department of Bioengineering, Rice University, 6500 Main Street, BRC 502, Houston, TX, 77030, USA.
| | - Henry Kuerer
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 0444, Houston, TX, 77030, USA.
| | - Wei Yang
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 1350, Houston, TX, 77030, USA.
| | - Nirmala Ramanujam
- Department of Biomedical Engineering, Duke University, 101 Science Drive, Room 136 Hudson Hall, Box 90281, Durham, NC, 27708, USA.
| | - Rebecca Richards-Kortum
- Department of Bioengineering, Rice University, 6500 Main Street, BRC 502, Houston, TX, 77030, USA.
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Rapid Stereomicroscopic Imaging of HER2 Overexpression in Ex Vivo Breast Tissue Using Topically Applied Silica-Based Gold Nanoshells. JOURNAL OF ONCOLOGY 2012; 2012:291898. [PMID: 23133450 PMCID: PMC3485548 DOI: 10.1155/2012/291898] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2012] [Accepted: 09/11/2012] [Indexed: 11/18/2022]
Abstract
Tumor margin detection for patients undergoing breast conservation surgery primarily occurs postoperatively. Previously, we demonstrated that gold nanoshells rapidly enhance contrast of HER2 overexpression in ex vivo tissue sections. Our ultimate objective, however, is to discern HER2 overexpressing tissue from normal tissue in whole, nonsectioned, specimens to facilitate rapid diagnoses. Here, we use targeted nanoshells to quickly and effectively visualize HER2 receptor expression in intact ex vivo human breast tissue specimens. Punch biopsies of human breast tissue were analyzed after a brief 5-minute incubation with and without HER2-targeted silica-gold nanoshells using two-photon microscopy and stereomicroscopy. Labeling was subsequently verified using reflectance confocal microscopy, darkfield hyperspectral imaging, and immunohistochemistry to confirm levels of HER2 expression. Our results suggest that anti-HER2 nanoshells used in tandem with a near-infrared reflectance confocal microscope and a standard stereomicroscope may potentially be used to discern HER2-overexpressing cancerous tissue from normal tissue in near real time and offer a rapid supplement to current diagnostic techniques.
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Hellebust A, Richards-Kortum R. Advances in molecular imaging: targeted optical contrast agents for cancer diagnostics. Nanomedicine (Lond) 2012; 7:429-45. [PMID: 22385200 DOI: 10.2217/nnm.12.12] [Citation(s) in RCA: 125] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Over the last three decades, our understanding of the molecular changes associated with cancer development and progression has advanced greatly. This has led to new cancer therapeutics targeted against specific molecular pathways; such therapies show great promise to reduce mortality, in part by enabling physicians to tailor therapy for patients based on a molecular profile of their tumor. Unfortunately, the tools for definitive cancer diagnosis - light microscopic examination of biopsied tissue stained with nonspecific dyes - remain focused on the analysis of tissue ex vivo. There is an important need for new clinical tools to support the molecular diagnosis of cancer. Optical molecular imaging is emerging as a technique to help meet this need. Targeted, optically active contrast agents can specifically label extra- and intracellular biomarkers of cancer. Optical images can be acquired in real time with high spatial resolution to image-specific molecular targets, while still providing morphologic context. This article reviews recent advances in optical molecular imaging, highlighting the advances in technology required to improve early cancer detection, guide selection of targeted therapy and rapidly evaluate therapeutic efficacy.
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Affiliation(s)
- Anne Hellebust
- Rice University, Bioengineering Department, 6100 Main Street, Bioengineering, MS 142, Houston, TX 77005-1892, USA
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Cihan C, Arifler D. Influence of phase function on modeled optical response of nanoparticle-labeled epithelial tissues. JOURNAL OF BIOMEDICAL OPTICS 2011; 16:085002. [PMID: 21895310 DOI: 10.1117/1.3608999] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Metal nanoparticles can be functionalized with biomolecules to selectively localize in precancerous tissues and can act as optical contrast enhancers for reflectance-based diagnosis of epithelial precancer. We carry out Monte Carlo (MC) simulations to analyze photon propagation through nanoparticle-labeled tissues and to reveal the importance of using a proper form of phase function for modeling purposes. We first employ modified phase functions generated with a weighting scheme that accounts for the relative scattering strengths of unlabeled tissue and nanoparticles. To present a comparative analysis, we repeat our MC simulations with simplified functions that only approximate the angular scattering properties of labeled tissues. The results obtained for common optical sensor geometries and biologically relevant labeling schemes indicate that the exact form of the phase function used as model input plays an important role in determining the reflectance response and approximating functions often prove inadequate in predicting the extent of contrast enhancement due to labeling. Detected reflectance intensities computed with different phase functions can differ up to ∼60% and such a significant deviation may even alter the perceived contrast profile. These results need to be taken into account when developing photon propagation models to assess the diagnostic potential of nanoparticle-enhanced optical measurements.
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Affiliation(s)
- Can Cihan
- Bilkent University, Department of Electrical and Electronics Engineering, TR-06800 Bilkent, Ankara, Turkey
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Ghosn B, van de Ven AL, Tam J, Gillenwater A, Sokolov KV, Richards-Kortum R, Roy K. Efficient mucosal delivery of optical contrast agents using imidazole-modified chitosan. JOURNAL OF BIOMEDICAL OPTICS 2010; 15:015003. [PMID: 20210443 PMCID: PMC2839797 DOI: 10.1117/1.3309739] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2009] [Revised: 12/01/2009] [Accepted: 12/08/2009] [Indexed: 05/24/2023]
Abstract
The clinical applicability of antibodies and plasmonic nanosensors as topically applied, molecule-specific optical diagnostic agents for noninvasive early detection of cancer and precancer is severely limited by our inability to efficiently deliver macromolecules and nanoparticles through mucosal tissues. We have developed an imidazole-functionalized conjugate of the polysaccharide chitosan (chitosan-IAA) to enhance topical delivery of contrast agents, ranging from small molecules and antibodies to gold nanoparticles up to 44 nm in average diameter. Contrast agent uptake and localization in freshly resected mucosal tissues was monitored using confocal microscopy. Chitosan-IAA was found to reversibly enhance mucosal permeability in a rapid, reproducible manner, facilitating transepithelial delivery of optical contrast agents. Permeation enhancement occurred through an active process, resulting in the delivery of contrast agents via a paracellular or a combined paracellular/transcellular route depending on size. Coadministration of epidermal growth factor receptor-targeted antibodies with chitosan-IAA facilitated specific labeling and discrimination between paired normal and malignant human oral biopsies. Together, these data suggest that chitosan-IAA is a promising topical permeation enhancer for mucosal delivery of optical contrast agents.
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Affiliation(s)
- Bilal Ghosn
- The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas 78712, USA
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Current Awareness in Contrast Media and Molecular Imaging. CONTRAST MEDIA & MOLECULAR IMAGING 2009. [DOI: 10.1002/cmmi.249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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