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Deng C, Xu Y, Chen H, Zhu X, Huang L, Chen Z, Xu H, Song G, Lu J, Huang W, Liu R, Tang Q, Wang J. Extracellular-vesicle-packaged S100A11 from osteosarcoma cells mediates lung premetastatic niche formation by recruiting gMDSCs. Cell Rep 2024; 43:113751. [PMID: 38341855 DOI: 10.1016/j.celrep.2024.113751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 11/28/2023] [Accepted: 01/22/2024] [Indexed: 02/13/2024] Open
Abstract
The premetastatic niche (PMN) contributes to lung-specific metastatic tropism in osteosarcoma. However, the crosstalk between primary tumor cells and lung stromal cells is not clearly defined. Here, we dissect the composition of immune cells in the lung PMN and identify granulocytic myeloid-derived suppressor cell (gMDSC) infiltration as positively associated with immunosuppressive PMN formation and tumor cell colonization. Osteosarcoma-cell-derived extracellular vesicles (EVs) activate lung interstitial macrophages to initiate the influx of gMDSCs via secretion of the chemokine CXCL2. Proteomic profiling of EVs reveals that EV-packaged S100A11 stimulates the Janus kinase 2/signal transducer and activator of transcription 3 signaling pathway in macrophages by interacting with USP9X. High level of S100A11 expression or circulating gMDSCs correlates with the presentation of lung metastasis and poor prognosis in osteosarcoma patients. In summary, we identify a key role of tumor-derived EVs in lung PMN formation, providing potential strategies for monitoring or preventing lung metastasis in osteosarcoma.
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Affiliation(s)
- Chuangzhong Deng
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Yanyang Xu
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Hongmin Chen
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Xiaojun Zhu
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Lihua Huang
- State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; Administration Department of Nosocomial Infection, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Zhihao Chen
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Huaiyuan Xu
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Guohui Song
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Jinchang Lu
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Wenlin Huang
- State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Ranyi Liu
- State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China
| | - Qinglian Tang
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China.
| | - Jin Wang
- Department of Musculoskeletal Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China; State Key Laboratory of Oncology in Southern China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, P.R. China.
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Li C, Rai MR, Ghashghaei HT, Greenbaum A. Illumination angle correction during image acquisition in light-sheet fluorescence microscopy using deep learning. BIOMEDICAL OPTICS EXPRESS 2022; 13:888-901. [PMID: 35284156 PMCID: PMC8884226 DOI: 10.1364/boe.447392] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 01/05/2022] [Accepted: 01/06/2022] [Indexed: 05/07/2023]
Abstract
Light-sheet fluorescence microscopy (LSFM) is a high-speed imaging technique that provides optical sectioning with reduced photodamage. LSFM is routinely used in life sciences for live cell imaging and for capturing large volumes of cleared tissues. LSFM has a unique configuration, in which the illumination and detection paths are separated and perpendicular to each other. As such, the image quality, especially at high resolution, largely depends on the degree of overlap between the detection focal plane and the illuminating beam. However, spatial heterogeneity within the sample, curved specimen boundaries, and mismatch of refractive index between tissues and immersion media can refract the well-aligned illumination beam. This refraction can cause extensive blur and non-uniform image quality over the imaged field-of-view. To address these issues, we tested a deep learning-based approach to estimate the angular error of the illumination beam relative to the detection focal plane. The illumination beam was then corrected using a pair of galvo scanners, and the correction significantly improved the image quality across the entire field-of-view. The angular estimation was based on calculating the defocus level on a pixel level within the image using two defocused images. Overall, our study provides a framework that can correct the angle of the light-sheet and improve the overall image quality in high-resolution LSFM 3D image acquisition.
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Affiliation(s)
- Chen Li
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC 27695, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC 27695, USA
| | - Mani Ratnam Rai
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC 27695, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC 27695, USA
| | - H. Troy Ghashghaei
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC 27695, USA
- Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC 27695, USA
| | - Alon Greenbaum
- Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC 27695, USA
- Comparative Medicine Institute, North Carolina State University, Raleigh, NC 27695, USA
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, USA
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3
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Ramos-Gomes F, Ferreira N, Kraupner A, Alves F, Markus MA. Ex vivo Live Cell Imaging of Nanoparticle-Cell Interactions in the Mouse Lung. Front Bioeng Biotechnol 2020; 8:588922. [PMID: 33195152 PMCID: PMC7661932 DOI: 10.3389/fbioe.2020.588922] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 09/21/2020] [Indexed: 12/19/2022] Open
Abstract
A successful clinical translation of novel nanoparticle-based cancer therapeutics requires a thorough preclinical investigation of their interaction with immune, tumor and endothelial cells as well as components of the tumor-microenvironment. Although high-resolution microscopy images of fixed tumor tissue specimens can provide valuable information in this regard, they are only static snapshots of a momentary event. Here we describe a superior alternative fluorescence microscopy approach to assess the feasibility of investigating nanoparticle-cell interactions in the mouse lung live and over time at nanometer resolution. We applied fluorescent lung tumor cells and Barium-based fluorescently labeled nanoparticles to nude mice or to CD68-EGFP transgenic mice for visualization of the monocyte-macrophage lineage. Shortly before imaging, fluorescently labeled lectin was intravenously injected for staining of the blood vessels. The lung was filled ex vivo with 1% agarose and individual lung lobes were imaged over time using a confocal microscope with Airyscan technology. Time series demonstrate that live cell imaging of lung lobes can be performed for at least 4 h post mortem. Time-lapse movies illustrate the dynamics of the nanoparticles within the pulmonary circulation and their uptake by immune cells. Moreover, the exchange of nanoparticle material between cancer cells was observed over time. Fluorescent monocytes in lungs of CD68-EGFP transgenic mice could be visualized within blood vessels in the process of interaction with tumor cells and nanoparticles. This high resolution ex vivo live cell imaging approach provides an excellent 4D tool to obtain valuable information on the behavior of tumor and immune cells at first encounter with nanoparticles and may contribute to the understanding of how nanoparticles interact with cells supporting the development of therapeutic strategies based on nanoparticulate drug delivery systems.
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Affiliation(s)
- Fernanda Ramos-Gomes
- Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany
| | - Nathalia Ferreira
- Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany
| | | | - Frauke Alves
- Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany.,Clinic of Hematology and Medical Oncology/Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Göttingen, Germany
| | - M Andrea Markus
- Translational Molecular Imaging, Max-Planck-Institute for Experimental Medicine, Göttingen, Germany
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Owyong M, Chou J, van den Bijgaart RJ, Kong N, Efe G, Maynard C, Talmi-Frank D, Solomonov I, Koopman C, Hadler-Olsen E, Headley M, Lin C, Wang CY, Sagi I, Werb Z, Plaks V. MMP9 modulates the metastatic cascade and immune landscape for breast cancer anti-metastatic therapy. Life Sci Alliance 2019; 2:2/6/e201800226. [PMID: 31727800 PMCID: PMC6856766 DOI: 10.26508/lsa.201800226] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 10/09/2019] [Accepted: 10/09/2019] [Indexed: 12/22/2022] Open
Abstract
Inhibition of active MMP9 early during tumorigenesis suppresses tumor cell migration, invasion, and colony formation and tilts the balance towards anti-tumor immunity by activating CD8+ T cells. Metastasis, the main cause of cancer-related death, has traditionally been viewed as a late-occurring process during cancer progression. Using the MMTV-PyMT luminal B breast cancer model, we demonstrate that the lung metastatic niche is established early during tumorigenesis. We found that matrix metalloproteinase 9 (MMP9) is an important component of the metastatic niche early in tumorigenesis and promotes circulating tumor cells to colonize the lungs. Blocking active MMP9, using a monoclonal antibody specific to the active form of gelatinases, inhibited endogenous and experimental lung metastases in the MMTV-PyMT model. Mechanistically, inhibiting MMP9 attenuated migration, invasion, and colony formation and promoted CD8+ T cell infiltration and activation. Interestingly, primary tumor burden was unaffected, suggesting that inhibiting active MMP9 is primarily effective during the early metastatic cascade. These findings suggest that the early metastatic circuit can be disrupted by inhibiting active MMP9 and warrant further studies of MMP9-targeted anti-metastatic breast cancer therapy.
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Affiliation(s)
- Mark Owyong
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Jonathan Chou
- Department of Anatomy, University of California, San Francisco, CA, USA.,Department of Medicine, University of California, San Francisco, CA, USA.,The Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | | | - Niwen Kong
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Gizem Efe
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Carrie Maynard
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Dalit Talmi-Frank
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Inna Solomonov
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Charlotte Koopman
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Elin Hadler-Olsen
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Mark Headley
- Department of Pathology, University of California, San Francisco, CA, USA
| | - Charlene Lin
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Chih-Yang Wang
- Department of Anatomy, University of California, San Francisco, CA, USA
| | - Irit Sagi
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Zena Werb
- Department of Anatomy, University of California, San Francisco, CA, USA .,The Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Vicki Plaks
- Department of Anatomy, University of California, San Francisco, CA, USA .,Department of Orofacial Sciences, University of California, San Francisco, CA, USA
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Looney MR, Headley MB. Live imaging of the pulmonary immune environment. Cell Immunol 2018; 350:103862. [PMID: 30336937 DOI: 10.1016/j.cellimm.2018.09.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 07/12/2018] [Accepted: 09/27/2018] [Indexed: 01/22/2023]
Abstract
The lung represents a unique immune environment. The primary function of the lung is to enable gas exchange by facilitating the transfer of oxygen into and carbon dioxide out of the blood. However, as a direct byproduct of this process the lung is also constantly exposed to particles, allergens, and pathogens alongside air itself. Due to this, the pulmonary immune system exists in a fine balance between quiescence and inflammation, deviations from which can lead to a failure in respiratory function. A rich history exists attempting to define the critical features of lung immunity, and most recently advances in intravital microscopy have enabled the visualization of intercellular immune dynamics in both steady-state and a variety of disease conditions. In this review, we will summarize a variety of approaches to intravital lung imaging as well as how its application has advanced our understanding of normal lung function as well as disease states such as pulmonary metastasis, asthma, and lung injury.
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Affiliation(s)
- Mark R Looney
- Department of Medicine, University of California, San Francisco (UCSF), San Francisco, CA 94143, USA; Department of Laboratory Medicine, University of California, San Francisco (UCSF), San Francisco, CA 94143, USA
| | - Mark B Headley
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
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Lizardo MM, Sorensen PH. Practical Considerations in Studying Metastatic Lung Colonization in Osteosarcoma Using the Pulmonary Metastasis Assay. J Vis Exp 2018. [PMID: 29578500 DOI: 10.3791/56332] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The pulmonary metastasis assay (PuMA) is an ex vivo lung explant and closed cell culture system that permits researchers to study the biology of lung colonization in osteosarcoma (OS) by fluorescence microscopy. This article provides a detailed description of the protocol, and discusses examples of obtaining image data on metastatic growth using widefield or confocal fluorescence microscopy platforms. The flexibility of the PuMA model permits researchers to study not only the growth of OS cells in the lung microenvironment, but also to assess the effects of anti-metastatic therapeutics over time. Confocal microscopy allows for unprecedented, high-resolution imaging of OS cell interactions with the lung parenchyma. Moreover, when the PuMA model is combined with fluorescent dyes or fluorescent protein genetic reporters, researchers can study the lung microenvironment, cellular and subcellular structures, gene function, and promoter activity in metastatic OS cells. The PuMA model provides a new tool for osteosarcoma researchers to discover new metastasis biology and assess the activity of novel anti-metastatic, targeted therapies.
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Affiliation(s)
- Michael M Lizardo
- Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health; BC Cancer Agency, Provincial Health Services Authority
| | - Poul H Sorensen
- BC Cancer Agency, Provincial Health Services Authority; Department of Pathology and Laboratory Medicine, University of British Columbia;
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