1
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Zhu S, Zhu Z, Ni C, Zhou Z, Chen Y, Tang D, Guo K, Yang S, Liu K, Ni Z, Xiang N. Liquid Biopsy Instrument for Ultra-Fast and Label-Free Detection of Circulating Tumor Cells. RESEARCH (WASHINGTON, D.C.) 2024; 7:0431. [PMID: 39050821 PMCID: PMC11266806 DOI: 10.34133/research.0431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 06/27/2024] [Indexed: 07/27/2024]
Abstract
Rapid diagnosis and real-time monitoring are of great important in the fight against cancer. However, most available diagnostic technologies are time-consuming and labor-intensive and are commonly invasive. Here, we describe CytoExam, an automatic liquid biopsy instrument designed based on inertial microfluidics and impedance cytometry, which uses a deep learning algorithm for the analysis of circulating tumor cells (CTCs). In silico and in vitro experiments demonstrated that CytoExam could achieve label-free detection of CTCs in the peripheral blood of cancer patients within 15 min. The clinical applicability of CytoExam was also verified using peripheral blood samples from 10 healthy donors and >50 patients with breast, colorectal, or lung cancer. Significant differences in the number of collected cells and predicted CTCs were observed between the 2 groups, with variations in the dielectric properties of the collected cells from cancer patients also being observed. The ultra-fast and minimally invasive features of CytoExam may pave the way for new paths for cancer diagnosis and scientific research.
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Affiliation(s)
- Shu Zhu
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
- School of Electrical and Automation Engineering, and Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing,
Nanjing Normal University, Nanjing 210023, China
| | - Zhixian Zhu
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Chen Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Zheng Zhou
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Yao Chen
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Dezhi Tang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Kefan Guo
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Shuai Yang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Kang Liu
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Zhonghua Ni
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
| | - Nan Xiang
- School of Mechanical Engineering, and Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments,
Southeast University, Nanjing 211189, China
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2
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Guo L, Ma X, Li H, Yan S, Zhang K, Li J. Single‑cell RNA‑seq necroptosis‑related genes predict the prognosis of breast cancer and affect the differentiation of CD4 + T cells in tumor immune microenvironment. Mol Clin Oncol 2024; 21:49. [PMID: 38872949 PMCID: PMC11170320 DOI: 10.3892/mco.2024.2747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/30/2024] [Indexed: 06/15/2024] Open
Abstract
Breast cancer (BC) is one of the most prevalent types of malignancy and a major cause of cancer-related death. The purpose of the present study was to identify prognostic models of necroptosis-related genes (NRGs) in BC at the single-cell RNA-sequencing level and reveal the role of NRGs in tumour immune microenvironment (TIME). A risk model was constructed based on Cox regression and LASSO methods. Next, high-scoring cell populations were searched through AUCell scores, and cell subtypes were then analyzed by pseudotime analysis. Finally, the expression level of the model genes was verified by reverse transcription-quantitative (RT-qPCR). A new prognostic model was constructed and validated based on five NRGs (BCL2, BIRC3, AIFM1, IFNG and VDAC1), which could effectively predict the prognosis of patients with BC. NRGs were found to be highly active in CD4+ T cells and differentially expressed in their developmental trajectories. Finally, the RT-qPCR results showed that most of the model genes were significantly overexpressed in MDA-MB-231 and MCF-7 cells (P<0.05). In conclusion, an NRG signature with excellent predictive properties in prognosis and TIME was successfully established. Moreover, NRGs were involved in the differentiation and development of CD4+ T cells in TIME. These findings provide potential therapeutic strategies for BC.
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Affiliation(s)
- Li Guo
- Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750003, P.R. China
| | - Xiuzhen Ma
- Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
| | - Hong Li
- Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
| | - Shuxun Yan
- Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750003, P.R. China
| | - Kai Zhang
- Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750003, P.R. China
| | - Jinping Li
- Department of Surgical Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
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3
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Akinpelu A, Akinsipe T, Avila LA, Arnold RD, Mistriotis P. The impact of tumor microenvironment: unraveling the role of physical cues in breast cancer progression. Cancer Metastasis Rev 2024; 43:823-844. [PMID: 38238542 PMCID: PMC11156564 DOI: 10.1007/s10555-024-10166-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 01/02/2024] [Indexed: 01/30/2024]
Abstract
Metastasis accounts for the vast majority of breast cancer-related fatalities. Although the contribution of genetic and epigenetic modifications to breast cancer progression has been widely acknowledged, emerging evidence underscores the pivotal role of physical stimuli in driving breast cancer metastasis. In this review, we summarize the changes in the mechanics of the breast cancer microenvironment and describe the various forces that impact migrating and circulating tumor cells throughout the metastatic process. We also discuss the mechanosensing and mechanotransducing molecules responsible for promoting the malignant phenotype in breast cancer cells. Gaining a comprehensive understanding of the mechanobiology of breast cancer carries substantial potential to propel progress in prognosis, diagnosis, and patient treatment.
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Affiliation(s)
- Ayuba Akinpelu
- Department of Chemical Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL, 36849, USA
| | - Tosin Akinsipe
- Department of Biological Sciences, College of Science and Mathematics, Auburn University, Auburn, AL, 36849, USA
| | - L Adriana Avila
- Department of Biological Sciences, College of Science and Mathematics, Auburn University, Auburn, AL, 36849, USA
| | - Robert D Arnold
- Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL, 36849, USA
| | - Panagiotis Mistriotis
- Department of Chemical Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL, 36849, USA.
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4
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Ni Q, Ge Z, Li Y, Shatkin G, Fu J, Bera K, Yang Y, Wang Y, Sen A, Wu Y, Vasconcelos ACN, Feinberg AP, Konstantopoulos K, Sun SX. Cytoskeletal activation of NHE1 regulates mechanosensitive cell volume adaptation and proliferation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.08.31.555808. [PMID: 37693593 PMCID: PMC10491192 DOI: 10.1101/2023.08.31.555808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Mammalian cells can rapidly respond to osmotic and hydrostatic pressure imbalances during an environmental change, generating large fluxes of water and ions that alter cell volume within minutes. While the role of ion pump and leak in cell volume regulation has been well-established, the potential contribution of the actomyosin cytoskeleton and its interplay with ion transporters is unclear. We discovered a cell volume regulation system that is controlled by cytoskeletal activation of ion transporters. After a hypotonic shock, normal-like cells (NIH-3T3, MCF-10A, and others) display a slow secondary volume increase (SVI) following the immediate regulatory volume decrease. We show that SVI is initiated by hypotonic stress induced Ca 2+ influx through stretch activated channel Piezo1, which subsequently triggers actomyosin remodeling. The actomyosin network further activates NHE1 through their synergistic linker ezrin, inducing SVI after the initial volume recovery. We find that SVI is absent in cancer cell lines such as HT1080 and MDA-MB-231, where volume regulation is dominated by intrinsic response of ion transporters. A similar cytoskeletal activation of NHE1 can also be achieved by mechanical stretching. On compliant substrates where cytoskeletal contractility is attenuated, SVI generation is abolished. Moreover, cytoskeletal activation of NHE1 during SVI triggers nuclear deformation, leading to a significant, immediate transcriptomic change in 3T3 cells, a phenomenon that is again absent in HT1080 cells. While hypotonic shock hinders ERK-dependent cell growth, cells deficient in SVI are unresponsive to such inhibitory effects. Overall, our findings reveal the critical role of Ca 2+ and actomyosin-mediated mechanosensation in the regulation of ion transport, cell volume, transcriptomics, and cell proliferation.
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5
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Qian Z, Wang Z, Zhu K, Yang K, Wu L, Zong S, Wang Z. A SERS-assisted 3D organotypic microfluidic chip for in-situ visualization and monitoring breast cancer extravasation process. Talanta 2024; 270:125633. [PMID: 38199123 DOI: 10.1016/j.talanta.2024.125633] [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: 09/27/2023] [Revised: 01/01/2024] [Accepted: 01/04/2024] [Indexed: 01/12/2024]
Abstract
Extravasation, as one of the key steps in cancer metastasis, refers to the process where tumor cells escape the bloodstream by crossing the vascular endothelium and invade the targeted tissue, which accounts for the low five-year survival rate of cancer patients. Understanding the mechanism of cancer metastasis and inhibiting extravasation are crucial to improve patient prognosis. Here, a 3D organotypic microfluidic chip combined with SERS-based protein imprinted nanomaterials (SPINs) was proposed to study the extravasation process in vitro. The chip consists of a collagen gel channel and a vascular channel where human vein endothelial cells (HUVECs) and breast cancer cells are injected sequentially to induce extravasation. By comparing two subtypes of breast cancer cells (MCF-7 and MDA-MB-231), we successfully observed the difference in extravasation capabilities between two kinds of cells through fluorescence imaging. Meanwhile, thanks to the high specificity of molecular imprinting technology and the high sensitivity of surface enhanced Raman scattering (SERS), SPINs were utilized to analyze the concentration of several cancer secretions (interleukin-6 and interleukin-8) in complex biological fluid in real-time. Further, our model showed that downregulation of secretions by therapeutic drugs can inhibit the extravasation of breast cancers. This microfluidic model may pave the way for the fundamental research of the cancer metastasis and evaluating the therapeutic efficacy of potential drugs.
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Affiliation(s)
- Ziting Qian
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China
| | - Zuyao Wang
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China
| | - Kai Zhu
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China
| | - Kuo Yang
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China
| | - Lei Wu
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China
| | - Shenfei Zong
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China
| | - Zhuyuan Wang
- Advanced Photonics Center, Southeast University, Nanjing, 210096, China.
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6
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Liu Y, Zhao W, Hodgson J, Egan M, Cooper Pope CN, Hicks G, Nikolinakos PG, Mao L. CTC-Race: Single-Cell Motility Assay of Circulating Tumor Cells from Metastatic Lung Cancer Patients. ACS NANO 2024; 18:8683-8693. [PMID: 38465942 PMCID: PMC10976960 DOI: 10.1021/acsnano.3c09450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 02/26/2024] [Accepted: 03/04/2024] [Indexed: 03/12/2024]
Abstract
Distinctive subpopulations of circulating tumor cells (CTCs) with increased motility are considered to possess enhanced tumor-initiating potential and contribute to metastasis. Single-cell analysis of the migratory CTCs may increase our understanding of the metastatic process, yet most studies are limited by technical challenges associated with the isolation and characterization of these cells due to their extreme scarcity and heterogeneity. We report a microfluidic method based on CTCs' chemotactic motility, termed as CTC-Race assay, that can analyze migrating CTCs from metastatic non-small-cell lung cancer (NSCLC) patients with advanced tumor stages and enable concurrent biophysical and biochemical characterization of them with single-cell resolution. Analyses of motile CTCs in the CTC-Race assay, in synergy with other single cell characterization techniques, could provide insights into cancer metastasis.
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Affiliation(s)
- Yang Liu
- School
of Chemical, Materials and Biomedical Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States
| | - Wujun Zhao
- FCS
Technology, LLC, Athens, Georgia 30602, United States
| | - Jamie Hodgson
- University
Cancer and Blood Center, LLC, Athens, Georgia 30607, United States
| | - Mary Egan
- University
Cancer and Blood Center, LLC, Athens, Georgia 30607, United States
| | | | - Glenda Hicks
- University
Cancer and Blood Center, LLC, Athens, Georgia 30607, United States
| | | | - Leidong Mao
- School
of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia 30602, United States
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7
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Conner SJ, Guarin JR, Le TT, Fatherree JP, Kelley C, Payne SL, Parker SR, Bloomer H, Zhang C, Salhany K, McGinn RA, Henrich E, Yui A, Srinivasan D, Borges H, Oudin MJ. Cell morphology best predicts tumorigenicity and metastasis in vivo across multiple TNBC cell lines of different metastatic potential. Breast Cancer Res 2024; 26:43. [PMID: 38468326 PMCID: PMC10929179 DOI: 10.1186/s13058-024-01796-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
BACKGROUND Metastasis is the leading cause of death in breast cancer patients. For metastasis to occur, tumor cells must invade locally, intravasate, and colonize distant tissues and organs, all steps that require tumor cell migration. The majority of studies on invasion and metastasis rely on human breast cancer cell lines. While it is known that these cells have different properties and abilities for growth and metastasis, the in vitro morphological, proliferative, migratory, and invasive behavior of these cell lines and their correlation to in vivo behavior is poorly understood. Thus, we sought to classify each cell line as poorly or highly metastatic by characterizing tumor growth and metastasis in a murine model of six commonly used human triple-negative breast cancer xenografts, as well as determine which in vitro assays commonly used to study cell motility best predict in vivo metastasis. METHODS We evaluated the liver and lung metastasis of human TNBC cell lines MDA-MB-231, MDA-MB-468, BT549, Hs578T, BT20, and SUM159 in immunocompromised mice. We characterized each cell line's cell morphology, proliferation, and motility in 2D and 3D to determine the variation in these parameters between cell lines. RESULTS We identified MDA-MB-231, MDA-MB-468, and BT549 cells as highly tumorigenic and metastatic, Hs578T as poorly tumorigenic and metastatic, BT20 as intermediate tumorigenic with poor metastasis to the lungs but highly metastatic to the livers, and SUM159 as intermediate tumorigenic but poorly metastatic to the lungs and livers. We showed that metrics that characterize cell morphology are the most predictive of tumor growth and metastatic potential to the lungs and liver. Further, we found that no single in vitro motility assay in 2D or 3D significantly correlated with metastasis in vivo. CONCLUSIONS Our results provide an important resource for the TNBC research community, identifying the metastatic potential of 6 commonly used cell lines. Our findings also support the use of cell morphological analysis to investigate the metastatic potential and emphasize the need for multiple in vitro motility metrics using multiple cell lines to represent the heterogeneity of metastasis in vivo.
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Affiliation(s)
- Sydney J Conner
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Justinne R Guarin
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Thanh T Le
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Jackson P Fatherree
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Charlotte Kelley
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Samantha L Payne
- Department of Biomedical Sciences, University of Guelph, 50 Stone Rd E, Guelph, ON, Canada
| | - Savannah R Parker
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Hanan Bloomer
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Crystal Zhang
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Kenneth Salhany
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Rachel A McGinn
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Emily Henrich
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Anna Yui
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Deepti Srinivasan
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Hannah Borges
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA
| | - Madeleine J Oudin
- Department of Biomedical Engineering, Tufts University, 200 College Ave, Medford, MA, 02155, USA.
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8
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Kalli M, Stylianopoulos T. Toward innovative approaches for exploring the mechanically regulated tumor-immune microenvironment. APL Bioeng 2024; 8:011501. [PMID: 38390314 PMCID: PMC10883717 DOI: 10.1063/5.0183302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 01/30/2024] [Indexed: 02/24/2024] Open
Abstract
Within the complex tumor microenvironment, cells experience mechanical cues-such as extracellular matrix stiffening and elevation of solid stress, interstitial fluid pressure, and fluid shear stress-that significantly impact cancer cell behavior and immune responses. Recognizing the significance of these mechanical cues not only sheds light on cancer progression but also holds promise for identifying potential biomarkers that would predict therapeutic outcomes. However, standardizing methods for studying how mechanical cues affect tumor progression is challenging. This challenge stems from the limitations of traditional in vitro cell culture systems, which fail to encompass the critical contextual cues present in vivo. To address this, 3D tumor spheroids have been established as a preferred model, more closely mimicking cancer progression, but they usually lack reproduction of the mechanical microenvironment encountered in actual solid tumors. Here, we review the role of mechanical forces in modulating tumor- and immune-cell responses and discuss how grasping the importance of these mechanical cues could revolutionize in vitro tumor tissue engineering. The creation of more physiologically relevant environments that better replicate in vivo conditions will eventually increase the efficacy of currently available treatments, including immunotherapies.
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Affiliation(s)
- Maria Kalli
- Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus
| | - Triantafyllos Stylianopoulos
- Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus
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9
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Tran AT, Wisniewski EO, Mistriotis P, Stoletov K, Parlani M, Amitrano A, Ifemembi B, Lee SJ, Bera K, Zhang Y, Tuntithavornwat S, Afthinos A, Kiepas A, Jamieson JJ, Zuo Y, Habib D, Wu PH, Martin SS, Gerecht S, Gu L, Lewis JD, Kalab P, Friedl P, Konstantopoulos K. Cytoplasmic accumulation and plasma membrane association of anillin and Ect2 promote confined migration and invasion. RESEARCH SQUARE 2024:rs.3.rs-3640969. [PMID: 38260442 PMCID: PMC10802709 DOI: 10.21203/rs.3.rs-3640969/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Cells migrating in confinement experience mechanical challenges whose consequences on cell migration machinery remain only partially understood. Here, we demonstrate that a pool of the cytokinesis regulatory protein anillin is retained during interphase in the cytoplasm of different cell types. Confinement induces recruitment of cytoplasmic anillin to plasma membrane at the poles of migrating cells, which is further enhanced upon nuclear envelope (NE) rupture(s). Rupture events also enable the cytoplasmic egress of predominantly nuclear RhoGEF Ect2. Anillin and Ect2 redistributions scale with microenvironmental stiffness and confinement, and are observed in confined cells in vitro and in invading tumor cells in vivo. Anillin, which binds actomyosin at the cell poles, and Ect2, which activates RhoA, cooperate additively to promote myosin II contractility, and promote efficient invasion and extravasation. Overall, our work provides a mechanistic understanding of how cytokinesis regulators mediate RhoA/ROCK/myosin II-dependent mechanoadaptation during confined migration and invasive cancer progression.
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Affiliation(s)
- Avery T. Tran
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Emily O. Wisniewski
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Panagiotis Mistriotis
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Chemical Engineering, Auburn University, Auburn, AL, 36849, USA
| | | | - Maria Parlani
- Department of Medical Biosciences, Radboud University Medical Center, Nijmegen, Netherlands
| | - Alice Amitrano
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Brent Ifemembi
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Se Jong Lee
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Kaustav Bera
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Yuqi Zhang
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Soontorn Tuntithavornwat
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Alexandros Afthinos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Alexander Kiepas
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - John J. Jamieson
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Yi Zuo
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Materials Science and Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Daniel Habib
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Pei-Hsun Wu
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Stuart S. Martin
- Marlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
- Department of Pharmacology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Sharon Gerecht
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Luo Gu
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Materials Science and Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - John D. Lewis
- Department of Oncology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Petr Kalab
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Peter Friedl
- Department of Medical Biosciences, Radboud University Medical Center, Nijmegen, Netherlands
- Department of Genitourinary Medicine, UT MD Anderson Cancer Center, Houston TX, 77030 USA
| | - Konstantinos Konstantopoulos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Oncology, The Johns Hopkins University, Baltimore MD, 21205, USA
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10
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Carney CP, Pandey N, Kapur A, Saadi H, Ong HL, Chen C, Winkles JA, Woodworth GF, Kim AJ. Impact of Targeting Moiety Type and Protein Corona Formation on the Uptake of Fn14-Targeted Nanoparticles by Cancer Cells. ACS NANO 2023; 17:19667-19684. [PMID: 37812740 DOI: 10.1021/acsnano.3c02575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
The TWEAK receptor, Fn14, is a promising candidate for active targeting of cancer nanotherapeutics to many solid tumor types, including metastatic breast and primary brain cancers. Targeting of therapeutic nanoparticles (NPs) has been accomplished using a range of targeting moieties including monoclonal antibodies and related fragments, peptides, and small molecules. Here, we investigated a full-length Fn14-specific monoclonal antibody, ITEM4, or an ITEM4-Fab fragment as a targeting moiety to guide the development of a clinical formulation. We formulated NPs with varying densities of the targeting moieties while maintaining the decreased nonspecific adhesivity with receptor targeting (DART) characteristics. To model the conditions that NPs experience following intravenous infusion, we investigated the impact of serum exposure in relation to the targeting moiety type and surface density. To further evaluate performance at the cancer cell level, we performed experiments to assess differences in cellular uptake and trafficking in several cancer cell lines using confocal microscopy, imaging flow cytometry, and total internal reflection fluorescence microscopy. We observed that Fn14-targeted NPs exhibit enhanced cellular uptake in Fn14-high compared to Fn14-low cancer cells and that in both cell lines uptake levels were greater than observed with control, nontargeted NPs. We found that serum exposure increased Fn14-targeted NP specificity while simultaneously reducing the total NP uptake. Importantly, serum exposure caused a larger reduction in cancer cell uptake over time when the targeting moiety was an antibody fragment (Fab region of the monoclonal antibody) compared with the full-length monoclonal antibody targeting moiety. Lastly, we uncovered that full monoclonal antibody-targeted NPs enter cancer cells via clathrin-mediated endocytosis and traffic through the endolysosomal pathway. Taken together, these results support a pathway for developing a clinical formulation using a full-length Fn14 monoclonal antibody as the targeting moiety for a DART cancer nanotherapeutic agent.
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Affiliation(s)
- Christine P Carney
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Nikhil Pandey
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Anshika Kapur
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Hassan Saadi
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Hwei Ling Ong
- Secretory Physiology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Chixiang Chen
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Jeffrey A Winkles
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Center for Vascular and Inflammatory Diseases, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
| | - Graeme F Woodworth
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Fischell Department of Bioengineering, A. James Clarke School of Engineering, University of Maryland, College Park, Maryland 20742, United States
| | - Anthony J Kim
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Fischell Department of Bioengineering, A. James Clarke School of Engineering, University of Maryland, College Park, Maryland 20742, United States
- Department of Pharmacology, University of Maryland School of Medicine, Baltimore, Maryland 21201, United States
- Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, Maryland 21201, United States
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11
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Zhou M, Ma Y, Rock EC, Chiang CC, Luker KE, Luker GD, Chen YC. Microfluidic single-cell migration chip reveals insights into the impact of extracellular matrices on cell movement. LAB ON A CHIP 2023; 23:4619-4635. [PMID: 37750357 PMCID: PMC10615797 DOI: 10.1039/d3lc00651d] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Cell migration is a complex process that plays a crucial role in normal physiology and pathologies such as cancer, autoimmune diseases, and mental disorders. Conventional cell migration assays face limitations in tracking a large number of individual migrating cells. To address this challenge, we have developed a high-throughput microfluidic cell migration chip, which seamlessly integrates robotic liquid handling and computer vision to swiftly monitor the movement of 3200 individual cells, providing unparalleled single-cell resolution for discerning distinct behaviors of the fast-moving cell population. This study focuses on the ECM's role in regulating cellular migration, utilizing this cutting-edge microfluidic technology to investigate the impact of ten different ECMs on triple-negative breast cancer cell lines. We found that collagen IV, collagen III, and collagen I coatings were the top enhancers of cell movement. Combining these ECMs increased cell motility, but the effect was sub-additive. Furthermore, we examined 87 compounds and found that while some compounds inhibited migration on all substrates, significantly distinct effects on differently coated substrates were observed, underscoring the importance of considering ECM coating. We also utilized cells expressing a fluorescent actin reporter and observed distinct actin structures in ECM-interacting cells. ScRNA-Seq analysis revealed that ECM coatings induced EMT and enhanced cell migration. Finally, we identified genes that were particularly up-regulated by collagen IV and the selective inhibitors successfully blocked cell migration on collagen IV. Overall, the study provides insights into the impact of various ECMs on cell migration and dynamics of cell movement with implications for developing therapeutic strategies to combat diseases related to cell motility.
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Affiliation(s)
- Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Edwin C Rock
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
| | - Chun-Cheng Chiang
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Kathryn E Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
| | - Gary D Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Microbiology and Immunology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel, Blvd., Ann Arbor, MI 48109-2099, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA.
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O'Hara Street, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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12
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Sigdel I, Ofori-Kwafo A, Heizelman RJ, Nestor-Kalinoski A, Prabhakarpandian B, Tiwari AK, Tang Y. Biomimetic on-chip assay reveals the anti-metastatic potential of a novel thienopyrimidine compound in triple-negative breast cancer cell lines. Front Bioeng Biotechnol 2023; 11:1227119. [PMID: 37840664 PMCID: PMC10569307 DOI: 10.3389/fbioe.2023.1227119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 09/19/2023] [Indexed: 10/17/2023] Open
Abstract
Introduction: This study presents a microfluidic tumor microenvironment (TME) model for evaluating the anti-metastatic efficacy of a novel thienopyrimidines analog with anti-cancer properties utilizing an existing commercial platform. The microfluidic device consists of a tissue compartment flanked by vascular channels, allowing for the co-culture of multiple cell types and providing a wide range of culturing conditions in one device. Methods: Human metastatic, drug-resistant triple-negative breast cancer (TNBC) cells (SUM159PTX) and primary human umbilical vein endothelial cells (HUVEC) were used to model the TME. A dynamic perfusion scheme was employed to facilitate EC physiological function and lumen formation. Results: The measured permeability of the EC barrier was comparable to observed microvessels permeability in vivo. The TNBC cells formed a 3D tumor, and co-culture with HUVEC negatively impacted EC barrier integrity. The microfluidic TME was then used to model the intravenous route of drug delivery. Paclitaxel (PTX) and a novel non-apoptotic agent TPH104c were introduced via the vascular channels and successfully reached the TNBC tumor, resulting in both time and concentration-dependent tumor growth inhibition. PTX treatment significantly reduced EC barrier integrity, highlighting the adverse effects of PTX on vascular ECs. TPH104c preserved EC barrier integrity and prevented TNBC intravasation. Discussion: In conclusion, this study demonstrates the potential of microfluidics for studying complex biological processes in a controlled environment and evaluating the efficacy and toxicity of chemotherapeutic agents in more physiologically relevant conditions. This model can be a valuable tool for screening potential anticancer drugs and developing personalized cancer treatment strategies.
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Affiliation(s)
- Indira Sigdel
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
| | - Awurama Ofori-Kwafo
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
| | - Robert J. Heizelman
- Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Andrea Nestor-Kalinoski
- Department of Surgery, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, United States
| | | | - Amit K. Tiwari
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Yuan Tang
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
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13
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Merkher Y, Kontareva E, Bogdan E, Achkasov K, Maximova K, Grolman JM, Leonov S. Encapsulation and adhesion of nanoparticles as a potential biomarker for TNBC cells metastatic propensity. Sci Rep 2023; 13:12289. [PMID: 37516753 PMCID: PMC10387085 DOI: 10.1038/s41598-023-33540-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 04/14/2023] [Indexed: 07/31/2023] Open
Abstract
Metastasis is the main cause of cancer-related mortality; therefore, the ability to predict its propensity can remarkably affect survival rate. Metastasis development is predicted nowadays by lymph-node status, tumor size, histopathology, and genetic testing. However, all these methods may have inaccuracies, and some require weeks to complete. Identifying novel prognostic markers will open an essential source for risk prediction, possibly guiding to elevated patient treatment by personalized strategies. Cancer cell invasion is a critical step in metastasis. The cytoskeletal mechanisms used by metastatic cells for the invasion process are very similar to the utilization of actin cytoskeleton in the endocytosis process. In the current study, the adhesion and encapsulation efficiency of low-cost carboxylate-modified fluorescent nanoparticles by breast cancer cells with high (HM) and low metastatic potential (LM) have been evaluated; benign cells were used as control. Using high-content fluorescence imaging and analysis, we have revealed (within a short time of 1 h), that efficiency of nanoparticles adherence and encapsulation is sufficiently higher in HM cells compared to LM cells, while benign cells are not encapsulating or adhering the particles during experiment time at all. We have utilized custom-made automatic image analysis algorithms to find quantitative co-localization (Pearson's coefficients) of the nanoparticles with the imaged cells. The method proposed here is straightforward; it does not require especial equipment or expensive materials nor complicated cell manipulations, it may be potentially applicable for various cells, including patient-derived cells. Effortless and quantitative determination of the metastatic likelihood has the potential to be performed using patient-specific biopsy/surgery sample, which will directly influence the choice of protocols for cancer patient's treatment and, as a result, increase their life expectancy.
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Affiliation(s)
- Yulia Merkher
- Laboratory of Innovative Medicine and Agrobiotechnology, Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Moscow Region, Russia.
| | - Elizaveta Kontareva
- Laboratory of Innovative Medicine and Agrobiotechnology, Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Moscow Region, Russia
| | - Elizaveta Bogdan
- Laboratory of Innovative Medicine and Agrobiotechnology, Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Moscow Region, Russia
| | - Konstantin Achkasov
- Laboratory of Innovative Medicine and Agrobiotechnology, Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Moscow Region, Russia
| | - Ksenia Maximova
- Laboratory of Innovative Medicine and Agrobiotechnology, Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Moscow Region, Russia
| | - Joshua M Grolman
- The Biomechanic Materials Lab, Technion Israel Institute of Technology, Haifa, Israel
| | - Sergey Leonov
- Laboratory of Innovative Medicine and Agrobiotechnology, Moscow Institute of Physics and Technology (MIPT), Dolgoprudny, Moscow Region, Russia.
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14
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Callaway MK, Dos Santos CO. Gestational Breast Cancer - a Review of Outcomes, Pathophysiology, and Model Systems. J Mammary Gland Biol Neoplasia 2023; 28:16. [PMID: 37450228 PMCID: PMC10348943 DOI: 10.1007/s10911-023-09546-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023] Open
Abstract
The onset of pregnancy marks the start of offspring development, and represents the key physiological event that induces re-organization and specialization of breast tissue. Such drastic tissue remodeling has also been linked to epithelial cell transformation and the establishment of breast cancer (BC). While patient outcomes for BC overall continue to improve across subtypes, prognosis remains dismal for patients with gestational breast cancer (GBC) and post-partum breast cancer (PPBC), as pregnancy and lactation pose additional complications and barriers to several gold standard clinical approaches. Moreover, delayed diagnosis and treatment, coupled with the aggressive time-scale in which GBC metastasizes, inevitably contributes to the higher incidence of disease recurrence and patient mortality. Therefore, there is an urgent and evident need to better understand the factors contributing to the establishment and spreading of BC during pregnancy. In this review, we provide a literature-based overview of the diagnostics and treatments available to patients with BC more broadly, and highlight the treatment deficit patients face due to gestational status. Further, we review the current understanding of the molecular and cellular mechanisms driving GBC, and discuss recent advances in model systems that may support the identification of targetable approaches to block BC development and dissemination during pregnancy. Our goal is to provide an updated perspective on GBC, and to inform critical areas needing further exploration to improve disease outcome.
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Affiliation(s)
| | - Camila O Dos Santos
- , Cold Spring Harbor Laboratory, Cancer Center, Cold Spring Harbor, NY, USA.
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15
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Desjardins-Lecavalier N, Annis MG, Nowakowski A, Kiepas A, Binan L, Roy J, Modica G, Hébert S, Kleinman CL, Siegel PM, Costantino S. Migration speed of captured breast cancer subpopulations correlates with metastatic fitness. J Cell Sci 2023; 136:jcs260835. [PMID: 37313743 PMCID: PMC10657211 DOI: 10.1242/jcs.260835] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 06/02/2023] [Indexed: 06/15/2023] Open
Abstract
The genetic alterations contributing to migration proficiency, a phenotypic hallmark of metastatic cells required for colonizing distant organs, remain poorly defined. Here, we used single-cell magneto-optical capture (scMOCa) to isolate fast cells from heterogeneous human breast cancer cell populations, based on their migratory ability alone. We show that captured fast cell subpopulations retain higher migration speed and focal adhesion dynamics over many generations as a result of a motility-related transcriptomic profile. Upregulated genes in isolated fast cells encoded integrin subunits, proto-cadherins and numerous other genes associated with cell migration. Dysregulation of several of these genes correlates with poor survival outcomes in people with breast cancer, and primary tumors established from fast cells generated a higher number of circulating tumor cells and soft tissue metastases in pre-clinical mouse models. Subpopulations of cells selected for a highly migratory phenotype demonstrated an increased fitness for metastasis.
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Affiliation(s)
- Nicolas Desjardins-Lecavalier
- Maisonneuve-Rosemont Hospital Research Center, 5415, boulevard de l'Assomption, Montréal, QC H1T 2M4, Canada
- Institut de genie biomedical, University of Montreal, Pavillon Paul-G.-Desmarais, 2960, chemin de la Tour, Montréal, QC H3T 1J4, Canada
| | - Matthew G. Annis
- Goodman Cancer Institute, McGill University, 1160 Pine Avenue West, Montreal, QC H3A 1A3, Canada
- Department of Medicine, McGill University, 1001 Decarie Boulevard, Montreal, QC H4A 3J1, Canada
| | - Alexander Nowakowski
- Goodman Cancer Institute, McGill University, 1160 Pine Avenue West, Montreal, QC H3A 1A3, Canada
- Department of Medicine, McGill University, 1001 Decarie Boulevard, Montreal, QC H4A 3J1, Canada
| | - Alexander Kiepas
- Cell Biology Section, National Institute of Dental and Craniofacial Research, National Institutes of Health Bethesda, MA 20892-4370, USA
| | - Loïc Binan
- Maisonneuve-Rosemont Hospital Research Center, 5415, boulevard de l'Assomption, Montréal, QC H1T 2M4, Canada
| | - Joannie Roy
- Maisonneuve-Rosemont Hospital Research Center, 5415, boulevard de l'Assomption, Montréal, QC H1T 2M4, Canada
| | - Graziana Modica
- Maisonneuve-Rosemont Hospital Research Center, 5415, boulevard de l'Assomption, Montréal, QC H1T 2M4, Canada
| | - Steven Hébert
- Lady Davis Institute, McGill University, Montréal, QC H3T 1E2, Canada
| | - Claudia L. Kleinman
- Lady Davis Institute, McGill University, Montréal, QC H3T 1E2, Canada
- Department of Human Genetics, McGill University, Montréal, QC H3T 1E2, Canada
| | - Peter M. Siegel
- Goodman Cancer Institute, McGill University, 1160 Pine Avenue West, Montreal, QC H3A 1A3, Canada
- Department of Medicine, McGill University, 1001 Decarie Boulevard, Montreal, QC H4A 3J1, Canada
| | - Santiago Costantino
- Maisonneuve-Rosemont Hospital Research Center, 5415, boulevard de l'Assomption, Montréal, QC H1T 2M4, Canada
- Department of Ophthalmology, University of Montreal, Pavillon Roger-Gaudry, Bureau S-700, 2900, boul. Édouard-Montpetit, Montréal, QC H3T 1J4, Canada
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16
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Farahani MK, Gharibshahian M, Rezvani A, Vaez A. Breast cancer brain metastasis: from etiology to state-of-the-art modeling. J Biol Eng 2023; 17:41. [PMID: 37386445 DOI: 10.1186/s13036-023-00352-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 05/02/2023] [Indexed: 07/01/2023] Open
Abstract
Currently, breast carcinoma is the most common form of malignancy and the main cause of cancer mortality in women worldwide. The metastasis of cancer cells from the primary tumor site to other organs in the body, notably the lungs, bones, brain, and liver, is what causes breast cancer to ultimately be fatal. Brain metastases occur in as many as 30% of patients with advanced breast cancer, and the 1-year survival rate of these patients is around 20%. Many researchers have focused on brain metastasis, but due to its complexities, many aspects of this process are still relatively unclear. To develop and test novel therapies for this fatal condition, pre-clinical models are required that can mimic the biological processes involved in breast cancer brain metastasis (BCBM). The application of many breakthroughs in the area of tissue engineering has resulted in the development of scaffold or matrix-based culture methods that more accurately imitate the original extracellular matrix (ECM) of metastatic tumors. Furthermore, specific cell lines are now being used to create three-dimensional (3D) cultures that can be used to model metastasis. These 3D cultures satisfy the requirement for in vitro methodologies that allow for a more accurate investigation of the molecular pathways as well as a more in-depth examination of the effects of the medication being tested. In this review, we talk about the latest advances in modeling BCBM using cell lines, animals, and tissue engineering methods.
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Affiliation(s)
| | - Maliheh Gharibshahian
- Student Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Alireza Rezvani
- Hematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Ahmad Vaez
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran.
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17
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Conner S, Guarin JR, Le TT, Fatherree J, Kelley C, Payne S, Salhany K, McGinn R, Henrich E, Yui A, Parker S, Srinivasan D, Bloomer H, Borges H, Oudin MJ. Cell morphology best predicts tumorigenicity and metastasis in vivo across multiple TNBC cell lines of different metastatic potential. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.14.544969. [PMID: 37398306 PMCID: PMC10312673 DOI: 10.1101/2023.06.14.544969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background Metastasis is the leading cause of death in breast cancer patients. For metastasis to occur, tumor cells must invade locally, intravasate, and colonize distant tissues and organs, all steps that require tumor cell migration. The majority of studies on invasion and metastasis rely on human breast cancer cell lines. While it is known that these cells have different properties and abilities for growth and metastasis, the in vitro morphological, proliferative, migratory, and invasive behavior of these cell lines and their correlation to in vivo behavior is poorly understood. Thus, we sought to classify each cell line as poorly or highly metastatic by characterizing tumor growth and metastasis in a murine model of six commonly used human triple-negative breast cancer xenografts, as well as determine which in vitro assays commonly used to study cell motility best predict in vivo metastasis. Methods We evaluated the liver and lung metastasis of human TNBC cell lines MDA-MB-231, MDA-MB-468, BT549, Hs578T, BT20, and SUM159 in immunocompromised mice. We characterized each cell line's cell morphology, proliferation, and motility in 2D and 3D to determine the variation in these parameters between cell lines. Results We identified MDA-MB-231, MDA-MB-468, and BT549 cells as highly tumorigenic and metastatic, Hs578T as poorly tumorigenic and metastatic, BT20 as intermediate tumorigenic with poor metastasis to the lungs but highly metastatic to the livers, and SUM159 as intermediate tumorigenic but poorly metastatic to the lungs and livers. We showed that metrics that characterize cell morphology are the most predictive of tumor growth and metastatic potential to the lungs and liver. Further, we found that no single in vitro motility assay in 2D or 3D significantly correlated with metastasis in vivo. Conclusions Our results provide an important resource for the TNBC research community, identifying the metastatic potential of 6 commonly used cell lines. Our findings also support the use of cell morphological analysis to investigate the metastatic potential and emphasize the need for multiple in vitro motility metrics using multiple cell lines to represent the heterogeneity of metastasis in vivo.
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Affiliation(s)
- Sydney Conner
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Justinne R. Guarin
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Thanh T. Le
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | | | - Charlotte Kelley
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Samantha Payne
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Ken Salhany
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Rachel McGinn
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Emily Henrich
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Anna Yui
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Savannah Parker
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Deepti Srinivasan
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Hanan Bloomer
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Hannah Borges
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
| | - Madeleine J. Oudin
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, USA
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18
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Ashkarran AA, Lin Z, Rana J, Bumpers H, Sempere L, Mahmoudi M. Impact of Nanomedicine in Women's Metastatic Breast Cancer. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2301385. [PMID: 37269217 PMCID: PMC10693652 DOI: 10.1002/smll.202301385] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/16/2023] [Indexed: 06/04/2023]
Abstract
Metastatic breast cancer is responsible for 90% of mortalities among women suffering from various types of breast cancers. Traditional cancer treatments such as chemotherapy and radiation therapy can cause significant side effects and may not be effective in many cases. However, recent advances in nanomedicine have shown great promise in the treatment of metastatic breast cancer. For example, nanomedicine demonstrated robust capacity in detection of metastatic cancers at early stages (i.e., before the metastatic cells leave the initial tumor site), which gives clinicians a timely option to change their treatment process (for example, instead of endocrine therapy they may use chemotherapy). Here recent advances in nanomedicine technology in the identification and treatment of metastatic breast cancers are reviewed.
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Affiliation(s)
- Ali Akbar Ashkarran
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, 48824, USA
| | - Zijin Lin
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, 48824, USA
| | - Jatin Rana
- Division of Hematology and Oncology, Michigan State University, East Lansing, MI, 48824, USA
| | - Harvey Bumpers
- Department of Surgery, Michigan State University, East Lansing, MI, 48824, USA
| | - Lorenzo Sempere
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, 48824, USA
| | - Morteza Mahmoudi
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI, 48824, USA
- Connors Center for Women's Health & Gender Biology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
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19
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Jiang N, Xu L, Han Y, Wang S, Duan X, Dai J, Hu Y, Liu X, Liu Z, Huang J. High-Throughput Electromechanical Coupling Chip Systems for Real-Time 3D Invasion/Migration Assay of Cells. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2300882. [PMID: 37088781 DOI: 10.1002/advs.202300882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/23/2023] [Indexed: 05/03/2023]
Abstract
Cell invasion/migration through three-dimensional (3D) tissues is not only essential for physiological/pathological processes, but a hallmark of cancer malignancy. However, how to quantify spatiotemporal dynamics of 3D cell migration/invasion is challenging. Here, this work reports a 3D cell invasion/migration assay (3D-CIMA) based on electromechanical coupling chip systems, which can monitor spatiotemporal dynamics of 3D cell invasion/migration in a real-time, label-free, nondestructive, and high-throughput way. In combination with 3D topological networks and complex impedance detection technology, this work shows that 3D-CIMA can quantitively characterize collective invasion/migration dynamics of cancer cells in 3D extracellular matrix (ECM) with controllable biophysical/biomechanical properties. More importantly, this work further reveals that it has the capability to not only carry out quantitative evaluation of anti-tumor drugs in 3D microenvironments that minimize the impact of cell culture dimensions, but also grade clinical cancer specimens. The proposed 3D-CIMA offers a new quantitative methodology for investigating cell interactions with 3D extracellular microenvironments, which has potential applications in various fields like mechanobiology, drug screening, and even precision medicine.
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Affiliation(s)
- Nan Jiang
- Department of Mechanics and Engineering Science, and Beijing Innovation Center for Engineering Science and Advanced Technology, College of Engineering, Peking University, Beijing, 100871, P. R. China
| | - Liang Xu
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, P. R. China
| | - Yiming Han
- Department of Mechanics and Engineering Science, and Beijing Innovation Center for Engineering Science and Advanced Technology, College of Engineering, Peking University, Beijing, 100871, P. R. China
| | - Shuyi Wang
- Department of Mechanics and Engineering Science, and Beijing Innovation Center for Engineering Science and Advanced Technology, College of Engineering, Peking University, Beijing, 100871, P. R. China
| | - Xiaocen Duan
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, 100871, P. R. China
| | - Jingyao Dai
- Department of Hepatobiliary Surgery, Air Force Medical Center, Beijing, P. R. China, 100142
| | - Yunxing Hu
- Department of Mechanics and Engineering Science, and Beijing Innovation Center for Engineering Science and Advanced Technology, College of Engineering, Peking University, Beijing, 100871, P. R. China
| | - Xiaozhi Liu
- Tianjin Key Laboratory of Epigenetics for Organ Development of Premature Infants, Fifth Central Hospital of Tianjin, Tianjin, 300450, P. R. China
| | - Zhiqiang Liu
- Department of Physiology and Pathopgysiology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, P. R. China
| | - Jianyong Huang
- Department of Mechanics and Engineering Science, and Beijing Innovation Center for Engineering Science and Advanced Technology, College of Engineering, Peking University, Beijing, 100871, P. R. China
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20
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Fröhlich E. The Variety of 3D Breast Cancer Models for the Study of Tumor Physiology and Drug Screening. Int J Mol Sci 2023; 24:ijms24087116. [PMID: 37108283 PMCID: PMC10139112 DOI: 10.3390/ijms24087116] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/01/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Breast cancer is the most common cancer in women and responsible for multiple deaths worldwide. 3D cancer models enable a better representation of tumor physiology than the conventional 2D cultures. This review summarizes the important components of physiologically relevant 3D models and describes the spectrum of 3D breast cancer models, e.g., spheroids, organoids, breast cancer on a chip and bioprinted tissues. The generation of spheroids is relatively standardized and easy to perform. Microfluidic systems allow control over the environment and the inclusion of sensors and can be combined with spheroids or bioprinted models. The strength of bioprinting relies on the spatial control of the cells and the modulation of the extracellular matrix. Except for the predominant use of breast cancer cell lines, the models differ in stromal cell composition, matrices and fluid flow. Organoids are most appropriate for personalized treatment, but all technologies can mimic most aspects of breast cancer physiology. Fetal bovine serum as a culture supplement and Matrigel as a scaffold limit the reproducibility and standardization of the listed 3D models. The integration of adipocytes is needed because they possess an important role in breast cancer.
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Affiliation(s)
- Eleonore Fröhlich
- Center for Medical Research, Medical University of Graz, 8010 Graz, Austria
- Research Center Pharmaceutical Engineering GmbH, 8010 Graz, Austria
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21
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Natalia A, Zhang L, Sundah NR, Zhang Y, Shao H. Analytical device miniaturization for the detection of circulating biomarkers. NATURE REVIEWS BIOENGINEERING 2023; 1:1-18. [PMID: 37359772 PMCID: PMC10064972 DOI: 10.1038/s44222-023-00050-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 06/28/2023]
Abstract
Diverse (sub)cellular materials are secreted by cells into the systemic circulation at different stages of disease progression. These circulating biomarkers include whole cells, such as circulating tumour cells, subcellular extracellular vesicles and cell-free factors such as DNA, RNA and proteins. The biophysical and biomolecular state of circulating biomarkers carry a rich repertoire of molecular information that can be captured in the form of liquid biopsies for disease detection and monitoring. In this Review, we discuss miniaturized platforms that allow the minimally invasive and rapid detection and analysis of circulating biomarkers, accounting for their differences in size, concentration and molecular composition. We examine differently scaled materials and devices that can enrich, measure and analyse specific circulating biomarkers, outlining their distinct detection challenges. Finally, we highlight emerging opportunities in biomarker and device integration and provide key future milestones for their clinical translation.
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Affiliation(s)
- Auginia Natalia
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Li Zhang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
| | - Noah R. Sundah
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Yan Zhang
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
| | - Huilin Shao
- Institute for Health Innovation & Technology, National University of Singapore, Singapore, Singapore
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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22
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Guardia T, Zhang Y, Thompson KN, Lee SJ, Martin SS, Konstantopoulos K, Kontrogianni-Konstantopoulos A. OBSCN restoration via OBSCN-AS1 long-noncoding RNA CRISPR-targeting suppresses metastasis in triple-negative breast cancer. Proc Natl Acad Sci U S A 2023; 120:e2215553120. [PMID: 36877839 PMCID: PMC10089184 DOI: 10.1073/pnas.2215553120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 01/23/2023] [Indexed: 03/08/2023] Open
Abstract
Mounting evidence implicates the giant, cytoskeletal protein obscurin (720 to 870 kDa), encoded by the OBSCN gene, in the predisposition and development of breast cancer. Accordingly, prior work has shown that the sole loss of OBSCN from normal breast epithelial cells increases survival and chemoresistance, induces cytoskeletal alterations, enhances cell migration and invasion, and promotes metastasis in the presence of oncogenic KRAS. Consistent with these observations, analysis of Kaplan-Meier Plotter datasets reveals that low OBSCN levels correlate with significantly reduced overall and relapse-free survival in breast cancer patients. Despite the compelling evidence implicating OBSCN loss in breast tumorigenesis and progression, its regulation remains elusive, limiting any efforts to restore its expression, a major challenge given its molecular complexity and gigantic size (~170 kb). Herein, we show that OBSCN-Antisense RNA 1 (OBSCN-AS1), a novel nuclear long-noncoding RNA (lncRNA) gene originating from the minus strand of OBSCN, and OBSCN display positively correlated expression and are downregulated in breast cancer biopsies. OBSCN-AS1 regulates OBSCN expression through chromatin remodeling involving H3 lysine 4 trimethylation enrichment, associated with open chromatin conformation, and RNA polymerase II recruitment. CRISPR-activation of OBSCN-AS1 in triple-negative breast cancer cells effectively and specifically restores OBSCN expression and markedly suppresses cell migration, invasion, and dissemination from three-dimensional spheroids in vitro and metastasis in vivo. Collectively, these results reveal the previously unknown regulation of OBSCN by an antisense lncRNA and the metastasis suppressor function of the OBSCN-AS1/OBSCN gene pair, which may be used as prognostic biomarkers and/or therapeutic targets for metastatic breast cancer.
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Affiliation(s)
- Talia Guardia
- Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD21201
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD21201
| | - Yuqi Zhang
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD21218
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD21218
| | - Keyata N. Thompson
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD21201
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD21201
| | - Se Jong Lee
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD21218
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD21218
| | - Stuart S. Martin
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD21201
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD21201
| | - Konstantinos Konstantopoulos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD21218
- Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD21218
| | - Aikaterini Kontrogianni-Konstantopoulos
- Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD21201
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD21201
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23
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Shao N, Zhou Y, Yao J, Zhang P, Song Y, Zhang K, Han X, Wang B, Liu X. A Bidirectional Single-Cell Migration and Retrieval Chip for Quantitative Study of Dendritic Cell Migration. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204544. [PMID: 36658690 PMCID: PMC10015900 DOI: 10.1002/advs.202204544] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/22/2022] [Indexed: 06/17/2023]
Abstract
Dendritic cell (DC) migration is a fundamental step during execution of its adaptive immunity functions. Studying DC migration characteristics is critical for development of DC-dependent allergy treatments, vaccines, and cancer immunotherapies. Here, a microfluidics-based single-cell migration platform is described that enables high-throughput and precise bidirectional cell migration assays. It also allows selective retrieval of cell subpopulations that have different migratory potentials. Using this microfluidic platform, DC migration is investigated in response to different chemoattractants and inhibitors, quantitatively describe DC migration patterns and retrieve DC subpopulations of different migratory potentials for differential gene expression analysis. This platform opens an avenue for precise characterization of cell migration and potential discovery of therapeutic modulators.
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Affiliation(s)
- Ning Shao
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
| | - Yufu Zhou
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
- The Third Xiangya HospitalCentral South UniversityChangsha410008P. R. China
| | - Jun Yao
- Department of Molecular and Cellular OncologyThe University of Texas MD Anderson Cancer CenterHoustonTX77030USA
| | - Pengchao Zhang
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
- Present address:
Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingSchool of Materials Science and EngineeringWuhan University of TechnologyWuhan430070P. R. China
| | - Yanni Song
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
- Department of Breast SurgeryHarbin Medical University Cancer HospitalHarbin150081P. R. China
| | - Kai Zhang
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
| | - Xin Han
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
- Present address:
School of Medicine and Holistic Integrative MedicineNanjing University of Chinese MedicineNanjing210023P. R. China
| | - Bin Wang
- Department of GeneticsThe University of Texas MD Anderson Cancer CenterHoustonTX77030USA
| | - Xuewu Liu
- Department of NanomedicineHouston Methodist Research InstituteHoustonTX77030USA
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24
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Leonov S, Inyang O, Achkasov K, Bogdan E, Kontareva E, Chen Y, Fu Y, Osipov AN, Pustovalova M, Merkher Y. Proteomic Markers for Mechanobiological Properties of Metastatic Cancer Cells. Int J Mol Sci 2023; 24:ijms24054773. [PMID: 36902201 PMCID: PMC10003476 DOI: 10.3390/ijms24054773] [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: 12/12/2022] [Revised: 01/26/2023] [Accepted: 02/17/2023] [Indexed: 03/06/2023] Open
Abstract
The major cause (more than 90%) of all cancer-related deaths is metastasis, thus its prediction can critically affect the survival rate. Metastases are currently predicted by lymph-node status, tumor size, histopathology and genetic testing; however, all these are not infallible, and obtaining results may require weeks. The identification of new potential prognostic factors will be an important source of risk information for the practicing oncologist, potentially leading to enhanced patient care through the proactive optimization of treatment strategies. Recently, the new mechanobiology-related techniques, independent of genetics, based on the mechanical invasiveness of cancer cells (microfluidic, gel indentation assays, migration assays etc.), demonstrated a high success rate for the detection of tumor cell metastasis propensity. However, they are still far away from clinical implementation due to complexity. Hence, the exploration of novel markers related to the mechanobiological properties of tumor cells may have a direct impact on the prognosis of metastasis. Our concise review deepens our knowledge of the factors that regulate cancer cell mechanotype and invasion, and incites further studies to develop therapeutics that target multiple mechanisms of invasion for improved clinical benefit. It may open a new clinical dimension that will improve cancer prognosis and increase the effectiveness of tumor therapies.
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Affiliation(s)
- Sergey Leonov
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
- Institute of Cell Biophysics, Russian Academy of Sciences, 142290 Pushchino, Moscow Region, Russia
| | - Olumide Inyang
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
| | - Konstantin Achkasov
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
| | - Elizaveta Bogdan
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
| | - Elizaveta Kontareva
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
| | - Yongheng Chen
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics & State Local Joint Engineering Laboratory for Anticancer Drugs, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Ying Fu
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics & State Local Joint Engineering Laboratory for Anticancer Drugs, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Andreyan N. Osipov
- State Research Center—Burnasyan Federal Medical Biophysical Center of Federal Medical-Biological Agency, 123098 Moscow, Russia
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 119991 Moscow, Russia
- Correspondence:
| | - Margarita Pustovalova
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
- State Research Center—Burnasyan Federal Medical Biophysical Center of Federal Medical-Biological Agency, 123098 Moscow, Russia
| | - Yulia Merkher
- School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Moscow Region, Russia
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25
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Zhou M, Ma Y, Chiang CC, Rock EC, Luker KE, Luker GD, Chen YC. High-Throughput Cellular Heterogeneity Analysis in Cell Migration at the Single-Cell Level. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2206754. [PMID: 36449634 PMCID: PMC9908848 DOI: 10.1002/smll.202206754] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Indexed: 06/17/2023]
Abstract
Cancer cell migration represents an essential step toward metastasis and cancer deaths. However, conventional drug discovery focuses on cytotoxic and growth-inhibiting compounds rather than inhibitors of migration. Drug screening assays generally measure the average response of many cells, masking distinct cell populations that drive metastasis and resist treatments. Here, this work presents a high-throughput microfluidic cell migration platform that coordinates robotic liquid handling and computer vision for rapidly quantifying individual cellular motility. Using this innovative technology, 172 compounds were tested and a surprisingly low correlation between migration and growth inhibition was found. Notably, many compounds were found to inhibit migration of most cells while leaving fast-moving subpopulations unaffected. This work further pinpoints synergistic drug combinations, including Bortezomib and Danirixin, to stop fast-moving cells. To explain the observed cell behaviors, single-cell morphological and molecular analysis were performed. These studies establish a novel technology to identify promising migration inhibitors for cancer treatment and relevant applications.
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Affiliation(s)
- Mengli Zhou
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Yushu Ma
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Chun-Cheng Chiang
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
| | - Edwin C. Rock
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15260, USA
| | - Kathryn E. Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
| | - Gary D. Luker
- Center for Molecular Imaging, Department of Radiology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Microbiology and Immunology, University of Michigan, 109 Zina Pitcher Place, Ann Arbor, MI 48109-2200, USA
- Department of Biomedical Engineering, University of Michigan, 2200 Bonisteel, Blvd. Ann Arbor, MI 48109-2099, USA
| | - Yu-Chih Chen
- UPMC Hillman Cancer Center, University of Pittsburgh, 5115 Centre Ave, Pittsburgh, PA 15232, USA
- Department of Computational and Systems Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, 3700 O’Hara Street, Pittsburgh, PA 15260, USA
- CMU-Pitt Ph.D. Program in Computational Biology, University of Pittsburgh, 3420 Forbes Avenue, Pittsburgh, PA 15260, USA
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26
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Inactivation of PTEN and ZFHX3 in Mammary Epithelial Cells Alters Patterns of Collective Cell Migration. Int J Mol Sci 2022; 24:ijms24010313. [PMID: 36613756 PMCID: PMC9820126 DOI: 10.3390/ijms24010313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022] Open
Abstract
Whole exome sequencing of invasive mammary carcinomas revealed the association of mutations in PTEN and ZFHX3 tumor suppressor genes (TSGs). We generated single and combined PTEN and ZFHX3 knock-outs (KOs) in the immortalized mammary epithelial cell line MCF10A to study the role of these genes and their potential synergy in migration regulation. Inactivation of PTEN, but not ZFHX3, induced the formation of large colonies in soft agar. ZFHX3 inactivation in PTEN KO, however, increased colony numbers and normalized their size. Cell migration was affected in different ways upon PTEN and ZFHX3 KO. Inactivation of PTEN enhanced coordinated cell motility and thus, the collective migration of epithelial islets and wound healing. In contrast, ZFHX3 knockout resulted in the acquisition of uncoordinated cell movement associated with the appearance of immature adhesive junctions (AJs) and the increased expression of the mesenchymal marker vimentin. Inactivation of the two TSGs thus induces different stages of partial epithelial-to-mesenchymal transitions (EMT). Upon double KO (DKO), cells displayed still another motile state, characterized by a decreased coordination in collective migration and high levels of vimentin but a restoration of mature linear AJs. This study illustrates the plasticity of migration modes of mammary cells transformed by a combination of cancer-associated genes.
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27
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Zhang Y, Li Y, Thompson KN, Stoletov K, Yuan Q, Bera K, Lee SJ, Zhao R, Kiepas A, Wang Y, Mistriotis P, Serra SA, Lewis JD, Valverde MA, Martin SS, Sun SX, Konstantopoulos K. Polarized NHE1 and SWELL1 regulate migration direction, efficiency and metastasis. Nat Commun 2022; 13:6128. [PMID: 36253369 PMCID: PMC9576788 DOI: 10.1038/s41467-022-33683-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 09/26/2022] [Indexed: 12/24/2022] Open
Abstract
Cell migration regulates diverse (patho)physiological processes, including cancer metastasis. According to the Osmotic Engine Model, polarization of NHE1 at the leading edge of confined cells facilitates water uptake, cell protrusion and motility. The physiological relevance of the Osmotic Engine Model and the identity of molecules mediating cell rear shrinkage remain elusive. Here, we demonstrate that NHE1 and SWELL1 preferentially polarize at the cell leading and trailing edges, respectively, mediate cell volume regulation, cell dissemination from spheroids and confined migration. SWELL1 polarization confers migration direction and efficiency, as predicted mathematically and determined experimentally via optogenetic spatiotemporal regulation. Optogenetic RhoA activation at the cell front triggers SWELL1 re-distribution and migration direction reversal in SWELL1-expressing, but not SWELL1-knockdown, cells. Efficient cell reversal also requires Cdc42, which controls NHE1 repolarization. Dual NHE1/SWELL1 knockdown inhibits breast cancer cell extravasation and metastasis in vivo, thereby illustrating the physiological significance of the Osmotic Engine Model.
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Affiliation(s)
- Yuqi Zhang
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Yizeng Li
- grid.264260.40000 0001 2164 4508Department of Biomedical Engineering, Binghamton University, SUNY, Binghamton, NY 13902 USA
| | - Keyata N. Thompson
- grid.411024.20000 0001 2175 4264Marlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Konstantin Stoletov
- grid.17089.370000 0001 2190 316XDepartment of Oncology, University of Alberta, Edmonton, AB T6G 2E1 Canada
| | - Qinling Yuan
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Kaustav Bera
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Se Jong Lee
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Runchen Zhao
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Alexander Kiepas
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Yao Wang
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Panagiotis Mistriotis
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.252546.20000 0001 2297 8753Department of Chemical Engineering, Auburn University, Auburn, AL 36849 USA
| | - Selma A. Serra
- grid.5612.00000 0001 2172 2676Laboratory of Molecular Physiology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - John D. Lewis
- grid.17089.370000 0001 2190 316XDepartment of Oncology, University of Alberta, Edmonton, AB T6G 2E1 Canada
| | - Miguel A. Valverde
- grid.5612.00000 0001 2172 2676Laboratory of Molecular Physiology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Stuart S. Martin
- grid.411024.20000 0001 2175 4264Marlene and Stewart Greenebaum National Cancer Institute Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Physiology, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Sean X. Sun
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Department of Mechanical Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA
| | - Konstantinos Konstantopoulos
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA ,grid.21107.350000 0001 2171 9311Department of Oncology, The Johns Hopkins University, Baltimore, MD 21205 USA
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Golloshi R, Playter C, Freeman TF, Das P, Raines TI, Garretson JH, Thurston D, McCord RP. Constricted migration is associated with stable 3D genome structure differences in cancer cells. EMBO Rep 2022; 23:e52149. [PMID: 35969179 PMCID: PMC9535800 DOI: 10.15252/embr.202052149] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 07/01/2022] [Accepted: 07/12/2022] [Indexed: 01/14/2023] Open
Abstract
To spread from a localized tumor, metastatic cancer cells must squeeze through constrictions that cause major nuclear deformations. Since chromosome structure affects nucleus stiffness, gene regulation, and DNA repair, here, we investigate the relationship between 3D genome structure and constricted migration in cancer cells. Using melanoma (A375) cells, we identify phenotypic differences in cells that have undergone multiple rounds of constricted migration. These cells display a stably higher migration efficiency, elongated morphology, and differences in the distribution of Lamin A/C and heterochromatin. Hi-C experiments reveal differences in chromosome spatial compartmentalization specific to cells that have passed through constrictions and related alterations in expression of genes associated with migration and metastasis. Certain features of the 3D genome structure changes, such as a loss of B compartment interaction strength, are consistently observed after constricted migration in clonal populations of A375 cells and in MDA-MB-231 breast cancer cells. Our observations suggest that consistent types of chromosome structure changes are induced or selected by passage through constrictions and that these may epigenetically encode stable differences in gene expression and cellular migration phenotype.
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Affiliation(s)
- Rosela Golloshi
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
| | - Christopher Playter
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
| | - Trevor F Freeman
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
| | - Priyojit Das
- UT‐ORNL Graduate School of Genome Science and TechnologyUniversity of TennesseeKnoxvilleTNUSA
| | - Thomas Isaac Raines
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
| | - Joshua H Garretson
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
| | - Delaney Thurston
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
| | - Rachel Patton McCord
- Biochemistry & Cellular and Molecular Biology DepartmentUniversity of TennesseeKnoxvilleTNUSA
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29
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Afthinos A, Bera K, Chen J, Ozcelikkale A, Amitrano A, Choudhury MI, Huang R, Pachidis P, Mistriotis P, Chen Y, Konstantopoulos K. Migration and 3D Traction Force Measurements inside Compliant Microchannels. NANO LETTERS 2022; 22:7318-7327. [PMID: 36112517 PMCID: PMC9872269 DOI: 10.1021/acs.nanolett.2c01261] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Cells migrate in vivo through channel-like tracks. While polydimethylsiloxane devices emulate such tracks in vitro, their channel walls are impermeable and have supraphysiological stiffness. Existing hydrogel-based platforms address these issues but cannot provide high-throughput analysis of cell motility in independently controllable stiffness and confinement. We herein develop polyacrylamide (PA)-based microchannels of physiological stiffness and prescribed dimensions for high-throughput analysis of cell migration and identify a biphasic dependence of speed upon confinement and stiffness. By utilizing novel four-walled microchannels with heterogeneous stiffness, we reveal the distinct contributions of apicolateral versus basal microchannel wall stiffness to confined versus unconfined migration. While the basal wall stiffness dictates unconfined migration, apicolateral stiffness controls confined migration. By tracking nanobeads embedded within channel walls, we innovate three-dimensional traction force measurements around spatially confining cells at subcellular resolution. Our unique and highly customizable device fabrication strategy provides a physiologically relevant in vitro platform to study confined cells.
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Affiliation(s)
- Alexandros Afthinos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Kaustav Bera
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Junjie Chen
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Mechanical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Center for Cell Dynamics, The Johns Hopkins University, Baltimore MD, 21205, USA
| | - Altug Ozcelikkale
- Department of Mechanical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Mechanical Engineering, Middle East Technical University, 06531 Ankara, Turkey
| | - Alice Amitrano
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Mohammad Ikbal Choudhury
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Mechanical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Randy Huang
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Mechanical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Center for Cell Dynamics, The Johns Hopkins University, Baltimore MD, 21205, USA
| | - Pavlos Pachidis
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
| | - Panagiotis Mistriotis
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Chemical Engineering, Auburn University, Auburn AL, 36849, USA
| | - Yun Chen
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Mechanical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Center for Cell Dynamics, The Johns Hopkins University, Baltimore MD, 21205, USA
| | - Konstantinos Konstantopoulos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore MD, 21218, USA
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore MD, 21205, USA
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30
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Li Y, Wong IY, Guo M. Reciprocity of Cell Mechanics with Extracellular Stimuli: Emerging Opportunities for Translational Medicine. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107305. [PMID: 35319155 PMCID: PMC9463119 DOI: 10.1002/smll.202107305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/20/2022] [Indexed: 06/14/2023]
Abstract
Human cells encounter dynamic mechanical cues in healthy and diseased tissues, which regulate their molecular and biophysical phenotype, including intracellular mechanics as well as force generation. Recent developments in bio/nanomaterials and microfluidics permit exquisitely sensitive measurements of cell mechanics, as well as spatiotemporal control over external mechanical stimuli to regulate cell behavior. In this review, the mechanobiology of cells interacting bidirectionally with their surrounding microenvironment, and the potential relevance for translational medicine are considered. Key fundamental concepts underlying the mechanics of living cells as well as the extracelluar matrix are first introduced. Then the authors consider case studies based on 1) microfluidic measurements of nonadherent cell deformability, 2) cell migration on micro/nano-topographies, 3) traction measurements of cells in three-dimensional (3D) matrix, 4) mechanical programming of organoid morphogenesis, as well as 5) active mechanical stimuli for potential therapeutics. These examples highlight the promise of disease diagnosis using mechanical measurements, a systems-level understanding linking molecular with biophysical phenotype, as well as therapies based on mechanical perturbations. This review concludes with a critical discussion of these emerging technologies and future directions at the interface of engineering, biology, and medicine.
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Affiliation(s)
- Yiwei Li
- Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei, 430074, China
| | - Ian Y Wong
- School of Engineering, Center for Biomedical Engineering, Joint Program in Cancer Biology, Brown University, 184 Hope St Box D, Providence, RI, 02912, USA
| | - Ming Guo
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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31
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Puleri DF, Randles A. The role of adhesive receptor patterns on cell transport in complex microvessels. Biomech Model Mechanobiol 2022; 21:1079-1098. [PMID: 35507242 PMCID: PMC10777541 DOI: 10.1007/s10237-022-01575-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 02/26/2022] [Indexed: 01/13/2023]
Abstract
Cell transport is governed by the interaction of fluid dynamic forces and biochemical factors such as adhesion receptor expression and concentration. Although the effect of endothelial receptor density is well understood, it is not clear how the spacing and local spatial distribution of receptors affect cell adhesion in three-dimensional microvessels. To elucidate the effect of vessel shape on cell trajectory and the arrangement of endothelial receptors on cell adhesion, we employed a three-dimensional deformable cell model that incorporates microscale interactions between the cell and the endothelium. Computational cellular adhesion models are systematically altered to assess the influence of receptor spacing. We demonstrate that the patterns of receptors on the vessel walls are a key factor guiding cell movement. In straight microvessels, we show a relationship between cell velocity and the spatial distribution of adhesive endothelial receptors, with larger receptor patches producing lower translational velocities. The joint effect of the complex vessel topology seen in microvessel shapes such as curved and bifurcated vessels when compared to straight tubes is explored with results which showed the spatial distribution of receptors affecting cell trajectory. Our findings here represent demonstration of the previously undescribed relationship between receptor pattern and geometry that guides cellular movement in complex microenvironments.
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Affiliation(s)
- Daniel F Puleri
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Amanda Randles
- Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA.
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32
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Gu S, Lee RM, Benson Z, Ling C, Vitolo MI, Martin SS, Chalfoun J, Losert W. Label-free cell tracking enables collective motion phenotyping in epithelial monolayers. iScience 2022; 25:104678. [PMID: 35856018 PMCID: PMC9287486 DOI: 10.1016/j.isci.2022.104678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 03/28/2022] [Accepted: 06/23/2022] [Indexed: 11/27/2022] Open
Abstract
Collective cell migration is an umbrella term for a rich variety of cell behaviors, whose distinct character is important for biological function, notably for cancer metastasis. One essential feature of collective behavior is the motion of cells relative to their immediate neighbors. We introduce an AI-based pipeline to segment and track cell nuclei from phase-contrast images. Nuclei segmentation is based on a U-Net convolutional neural network trained on images with nucleus staining. Tracking, based on the Crocker-Grier algorithm, quantifies nuclei movement and allows for robust downstream analysis of collective motion. Because the AI algorithm required no new training data, our approach promises to be applicable to and yield new insights for vast libraries of existing collective motion images. In a systematic analysis of a cell line panel with oncogenic mutations, we find that the collective rearrangement metric, D2min, which reflects non-affine motion, shows promise as an indicator of metastatic potential. Versatile AI algorithm identifies individual cell tracks in phase contrast images Motion of cells relative to nearby neighbors may indicate cancer progression
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Affiliation(s)
- Shuyao Gu
- Department of Physics, University of Maryland, College Park, MD 20742, USA
| | - Rachel M Lee
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201, USA.,Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
| | - Zackery Benson
- Department of Physics, University of Maryland, College Park, MD 20742, USA
| | - Chenyi Ling
- Software and Systems Division, Information Technology Lab, NIST, Gaithersburg, MD 20899, USA
| | - Michele I Vitolo
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201, USA.,Departments of Pharmacology and Physiology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Stuart S Martin
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201, USA.,Departments of Pharmacology and Physiology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Joe Chalfoun
- Software and Systems Division, Information Technology Lab, NIST, Gaithersburg, MD 20899, USA
| | - Wolfgang Losert
- Department of Physics, University of Maryland, College Park, MD 20742, USA.,Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, USA
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33
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Karikomi M, Zhou P, Nie Q. DURIAN: an integrative deconvolution and imputation method for robust signaling analysis of single-cell transcriptomics data. Brief Bioinform 2022; 23:6609525. [PMID: 35709795 PMCID: PMC9294432 DOI: 10.1093/bib/bbac223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/29/2022] [Accepted: 05/11/2022] [Indexed: 01/31/2023] Open
Abstract
Single-cell RNA sequencing trades read-depth for dimensionality, often leading to loss of critical signaling gene information that is typically present in bulk data sets. We introduce DURIAN (Deconvolution and mUltitask-Regression-based ImputAtioN), an integrative method for recovery of gene expression in single-cell data. Through systematic benchmarking, we demonstrate the accuracy, robustness and empirical convergence of DURIAN using both synthetic and published data sets. We show that use of DURIAN improves single-cell clustering, low-dimensional embedding, and recovery of intercellular signaling networks. Our study resolves several inconsistent results of cell-cell communication analysis using single-cell or bulk data independently. The method has broad application in biomarker discovery and cell signaling analysis using single-cell transcriptomics data sets.
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Affiliation(s)
| | - Peijie Zhou
- Corresponding authors: Peijie Zhou, 540P Rowland Hall, University of California Irvine, Irvine CA 92697, USA. Tel: 949-824-5530; Fax: 949-8247993; ; Qing Nie, 540F Rowland Hall, University of California Irvine, Irvine CA 92697, USA. Tel: 949-824-5530; Fax: 949-8247993;
| | - Qing Nie
- Corresponding authors: Peijie Zhou, 540P Rowland Hall, University of California Irvine, Irvine CA 92697, USA. Tel: 949-824-5530; Fax: 949-8247993; ; Qing Nie, 540F Rowland Hall, University of California Irvine, Irvine CA 92697, USA. Tel: 949-824-5530; Fax: 949-8247993;
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34
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You L, Su PR, Betjes M, Rad RG, Chou TC, Beerens C, van Oosten E, Leufkens F, Gasecka P, Muraro M, van Tol R, van Steenderen D, Farooq S, Hardillo JAU, de Jong RB, Brinks D, Chien MP. Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis. Nat Biomed Eng 2022; 6:667-675. [PMID: 35301448 DOI: 10.1038/s41551-022-00853-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 11/23/2021] [Indexed: 02/07/2023]
Abstract
Linking single-cell genomic or transcriptomic profiles to functional cellular characteristics, in particular time-varying phenotypic changes, could help unravel molecular mechanisms driving the growth of tumour-cell subpopulations. Here we show that a custom-built optical microscope with an ultrawide field of view, fast automated image analysis and a dye activatable by visible light enables the screening and selective photolabelling of cells of interest in large heterogeneous cell populations on the basis of specific functional cellular dynamics, such as fast migration, morphological variation, small-molecule uptake or cell division. Combining such functional single-cell selection with single-cell RNA sequencing allowed us to (1) functionally annotate the transcriptomic profiles of fast-migrating and spindle-shaped MCF10A cells, of fast-migrating MDA-MB-231 cells and of patient-derived head-and-neck squamous carcinoma cells, and (2) identify critical genes and pathways driving aggressive migration and mesenchymal-like morphology in these cells. Functional single-cell selection upstream of single-cell sequencing does not depend on molecular biomarkers, allows for the enrichment of sparse subpopulations of cells, and can facilitate the identification and understanding of the molecular mechanisms underlying functional phenotypes.
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Affiliation(s)
- Li You
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Pin-Rui Su
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands.,Department of Chemistry, National Taiwan University, Taipei, Taiwan
| | - Max Betjes
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Reza Ghadiri Rad
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Ting-Chun Chou
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Cecile Beerens
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Eva van Oosten
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Felix Leufkens
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Paulina Gasecka
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands.,Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Mauro Muraro
- Single Cell Discoveries, Utrecht, The Netherlands
| | - Ruud van Tol
- Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands
| | - Debby van Steenderen
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Shazia Farooq
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.,Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Jose Angelito U Hardillo
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Robert Baatenburg de Jong
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daan Brinks
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands. .,Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.
| | - Miao-Ping Chien
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands. .,Erasmus MC Cancer Institute, Rotterdam, The Netherlands. .,Oncode Institute, Utrecht, The Netherlands.
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35
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Yan Z, Xia X, Cho WC, Au DW, Shao X, Fang C, Tian Y, Lin Y. Rapid Plastic Deformation of Cancer Cells Correlates with High Metastatic Potential. Adv Healthc Mater 2022; 11:e2101657. [PMID: 35014196 DOI: 10.1002/adhm.202101657] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 12/19/2021] [Indexed: 01/22/2023]
Abstract
Metastasis plays a crucial role in tumor development, however, lack of quantitative methods to characterize the capability of cells to undergo plastic deformations has hindered the understanding of this important process. Here, a microfluidic system capable of imposing precisely controlled cyclic deformation on cells and therefore probing their viscoelastic and plastic characteristics is developed. Interestingly, it is found that significant plastic strain can accumulate rapidly in highly invasive cancer cell lines and circulating tumor cells (CTCs) from late-stage lung cancer patients with a characteristic time of a few seconds. In constrast, very little irreversible deformation is observed in the less invasive cell lines and CTCs from early-stage lung cancer patients, highlighting the potential of using the plastic response of cells as a novel marker in future cancer study. Furthermore, author showed that the observed irreversible deformation should originate mainly from cytoskeleton damage, rather than plasticity of the cell nucleus.
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Affiliation(s)
- Zishen Yan
- Department of Mechanical Engineering The University of Hong Kong Hong Kong China
- HKU‐Shenzhen Institute of Research and Innovation (HKU‐SIRI) Shenzhen Guangdong China
| | - Xingyu Xia
- Department of Mechanical Engineering The University of Hong Kong Hong Kong China
- HKU‐Shenzhen Institute of Research and Innovation (HKU‐SIRI) Shenzhen Guangdong China
| | - William C. Cho
- Department of Clinical Oncology Queen Elizabeth Hospital Hong Kong SAR China
| | - Dennis W. Au
- Department of Clinical Oncology Queen Elizabeth Hospital Hong Kong SAR China
| | - Xueying Shao
- Department of Mechanical Engineering The University of Hong Kong Hong Kong China
| | - Chao Fang
- Department of Mechanical Engineering The University of Hong Kong Hong Kong China
- HKU‐Shenzhen Institute of Research and Innovation (HKU‐SIRI) Shenzhen Guangdong China
| | - Ye Tian
- Department of Mechanical Engineering The University of Hong Kong Hong Kong China
- HKU‐Shenzhen Institute of Research and Innovation (HKU‐SIRI) Shenzhen Guangdong China
| | - Yuan Lin
- Department of Mechanical Engineering The University of Hong Kong Hong Kong China
- HKU‐Shenzhen Institute of Research and Innovation (HKU‐SIRI) Shenzhen Guangdong China
- Advanced Biomedical Instrumentation Centre Hong Kong Science Park Shatin, New Territories Hong Kong
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36
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Mathias TJ, Ju JA, Lee RM, Thompson KN, Mull ML, Annis DA, Chang KT, Ory EC, Stemberger MB, Hotta T, Ohi R, Vitolo MI, Moutin MJ, Martin SS. Tubulin Carboxypeptidase Activity Promotes Focal Gelatin Degradation in Breast Tumor Cells and Induces Apoptosis in Breast Epithelial Cells That Is Overcome by Oncogenic Signaling. Cancers (Basel) 2022; 14:cancers14071707. [PMID: 35406479 PMCID: PMC8996877 DOI: 10.3390/cancers14071707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 03/17/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary The recent discovery of the genetic identity of the tubulin carboxypeptidase (TCP) provides a unique opportunity to study the role of the detyrosination of α-tubulin (deTyr-Tub), as performed by the TCP, in breast epithelial cells and breast cancer cells. Previous research has shown that elevated deTyr-Tub conveys a poor prognosis in breast cancer and is upregulated in a coordinated manner at the invasive margin of patient tumor samples. Using TCP expression constructs, we have shown that increased deTyr-Tub promotes apoptosis in normal breast epithelial cells, that does not occur in the same cells with an oncogenic KRas mutation or Bcl-2/Bcl-xL overexpression. Furthermore, the addition of the TCP to the breast cancer cell lines MDA-MB-231 and Hs578t, also harboring Ras mutations, leads to increased focal gelatin degradation. Abstract Post-translational modifications (PTMs) of the microtubule network impart differential functions across normal cell types and their cancerous counterparts. The removal of the C-terminal tyrosine of α-tubulin (deTyr-Tub) as performed by the tubulin carboxypeptidase (TCP) is of particular interest in breast epithelial and breast cancer cells. The recent discovery of the genetic identity of the TCP to be a vasohibin (VASH1/2) coupled with a small vasohibin-binding protein (SVBP) allows for the functional effect of this tubulin PTM to be directly tested for the first time. Our studies revealed the immortalized breast epithelial cell line MCF10A undergoes apoptosis following transfection with TCP constructs, but the addition of oncogenic KRas or Bcl-2/Bcl-xL overexpression prevents subsequent apoptotic induction in the MCF10A background. Functionally, an increase in deTyr-Tub via TCP transfection in MDA-MB-231 and Hs578t breast cancer cells leads to enhanced focal gelatin degradation. Given the elevated deTyr-Tub at invasive tumor fronts and the correlation with poor breast cancer survival, these new discoveries help clarify how the TCP synergizes with oncogene activation, increases focal gelatin degradation, and may correspond to increased tumor cell invasion. These connections could inform more specific microtubule-directed therapies to target deTyr-tubulin.
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Affiliation(s)
- Trevor J. Mathias
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Graduate Program in Molecular Medicine, University of Maryland School of Medicine, 800 W. Baltimore St., Baltimore, MD 21201, USA
- Medical Scientist Training Program (MSTP), University of Maryland School of Medicine, 800 W. Baltimore St., Baltimore, MD 21201, USA
| | - Julia A. Ju
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA
| | - Rachel M. Lee
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA
| | - Keyata N. Thompson
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA
| | - Makenzy L. Mull
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Graduate Program in Molecular Medicine, University of Maryland School of Medicine, 800 W. Baltimore St., Baltimore, MD 21201, USA
| | - David A. Annis
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Graduate Program in Epidemiology and Human Genetics, University of Maryland School of Medicine, 800 W. Baltimore St., Baltimore, MD 21201, USA
| | - Katarina T. Chang
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Graduate Program in Molecular Medicine, University of Maryland School of Medicine, 800 W. Baltimore St., Baltimore, MD 21201, USA
| | - Eleanor C. Ory
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA
| | - Megan B. Stemberger
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Graduate Program in Biochemistry & Molecular Biology, University of Maryland School of Medicine, 108 N. Greene St., Baltimore, MD 21201, USA
| | - Takashi Hotta
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA; (T.H.); (R.O.)
| | - Ryoma Ohi
- Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA; (T.H.); (R.O.)
| | - Michele I. Vitolo
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA
| | - Marie-Jo Moutin
- Grenoble Institut Neurosciences, University Grenoble Alpes, Inserm, U1216, CEA, CNRS, 38000 Grenoble, France;
| | - Stuart S. Martin
- Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA; (T.J.M.); (J.A.J.); (R.M.L.); (K.N.T.); (M.L.M.); (D.A.A.); (K.T.C.); (E.C.O.); (M.B.S.); (M.I.V.)
- Department of Pharmacology and Physiology, University of Maryland School of Medicine, 655 W. Baltimore St., Baltimore, MD 21201, USA
- United States Department of Veterans Affairs, VA Maryland Health Care System, Baltimore, MD 21201, USA
- Correspondence: ; Tel.: +1-410-706-6601
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DeCastro AJL, Pranda MA, Gray KM, Merlo-Coyne J, Girma N, Hurwitz M, Zhang Y, Stroka KM. Morphological Phenotyping of Organotropic Brain- and Bone-Seeking Triple Negative Metastatic Breast Tumor Cells. Front Cell Dev Biol 2022; 10:790410. [PMID: 35252171 PMCID: PMC8891987 DOI: 10.3389/fcell.2022.790410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 01/31/2022] [Indexed: 11/22/2022] Open
Abstract
Triple negative breast cancer (TNBC) follows a non-random pattern of metastasis to the bone and brain tissue. Prior work has found that brain-seeking breast tumor cells display altered proteomic profiles, leading to alterations in pathways related to cell signaling, cell cycle, metabolism, and extracellular matrix remodeling. Given the unique microenvironmental characteristics of brain and bone tissue, we hypothesized that brain- or bone-seeking TNBC cells may have altered morphologic or migratory phenotypes from each other, or from the parental TNBC cells, as a function of the biochemical or mechanical microenvironment. In this study, we utilized TNBC cells (MDA-MB-231) that were conditioned to metastasize solely to brain (MDA-BR) or bone (MDA-BO) tissue. We quantified characteristics such as cell morphology, migration, and stiffness in response to cues that partially mimic their final metastatic niche. We have shown that MDA-BO cells have a distinct protrusive morphology not found in MDA-P or MDA-BR. Further, MDA-BO cells migrate over a larger area when on a collagen I (abundant in bone tissue) substrate when compared to fibronectin (abundant in brain tissue). However, migration in highly confined environments was similar across the cell types. Modest differences were found in the stiffness of MDA-BR and MDA-BO cells plated on collagen I vs. fibronectin-coated surfaces. Lastly, MDA-BO cells were found to have larger focal adhesion area and density in comparison with the other two cell types. These results initiate a quantitative profile of mechanobiological phenotypes in TNBC, with future impacts aiming to help predict metastatic propensities to organ-specific sites in a clinical setting.
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Affiliation(s)
- Ariana Joy L. DeCastro
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States
| | - Marina A. Pranda
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States
| | - Kelsey M. Gray
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States
| | - John Merlo-Coyne
- Department of Biology, University of Maryland, College Park, MD, United States
| | - Nathaniel Girma
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States
| | - Madelyn Hurwitz
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States
| | - Yuji Zhang
- Department of Epidemiology and Public Health, University of Maryland, Baltimore, MD, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland, Baltimore, MD, United States
| | - Kimberly M. Stroka
- Fischell Department of Bioengineering, University of Maryland, College Park, MD, United States
- Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of Maryland, Baltimore, MD, United States
- Biophysics Program, University of Maryland, College Park, MD, United States
- Center for Stem Cell Biology and Regenerative Medicine, University of Maryland, Baltimore, MD, United States
- *Correspondence: Kimberly M. Stroka,
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38
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Thompson KN, Ju JA, Ory EC, Pratt SJP, Lee RM, Mathias TJ, Chang KT, Lee CJ, Goloubeva OG, Bailey PC, Chakrabarti KR, Jewell CM, Vitolo MI, Martin SS. Microtubule disruption reduces metastasis more effectively than primary tumor growth. Breast Cancer Res 2022; 24:13. [PMID: 35164808 PMCID: PMC8842877 DOI: 10.1186/s13058-022-01506-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 01/26/2022] [Indexed: 12/04/2022] Open
Abstract
Clinical cancer imaging focuses on tumor growth rather than metastatic phenotypes. The microtubule-depolymerizing drug, Vinorelbine, reduced the metastatic phenotypes of microtentacles, reattachment and tumor cell clustering more than tumor cell viability. Treating mice with Vinorelbine for only 24 h had no significant effect on primary tumor survival, but median metastatic tumor survival was extended from 8 to 30 weeks. Microtentacle inhibition by Vinorelbine was also detectable within 1 h, using tumor cells isolated from blood samples. As few as 11 tumor cells were sufficient to yield 90% power to detect this 1 h Vinorelbine drug response, demonstrating feasibility with the small number of tumor cells available from patient biopsies. This study establishes a proof-of-concept that targeted microtubule disruption can selectively inhibit metastasis and reveals that existing FDA-approved therapies could have anti-metastatic actions that are currently overlooked when focusing exclusively on tumor growth.
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Tuntithavornwat S, Shea DJ, Wong BS, Guardia T, Lee SJ, Yankaskas CL, Zheng L, Kontrogianni-Konstantopoulos A, Konstantopoulos K. Giant obscurin regulates migration and metastasis via RhoA-dependent cytoskeletal remodeling in pancreatic cancer. Cancer Lett 2022; 526:155-167. [PMID: 34826548 PMCID: PMC9427004 DOI: 10.1016/j.canlet.2021.11.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/15/2021] [Accepted: 11/12/2021] [Indexed: 12/23/2022]
Abstract
Obscurins, encoded by the OBSCN gene, are giant cytoskeletal proteins with structural and regulatory roles. Large scale omics analyses reveal that OBSCN is highly mutated across different types of cancer, exhibiting a 5-8% mutation frequency in pancreatic cancer. Yet, the functional role of OBSCN in pancreatic cancer progression and metastasis has to be delineated. We herein show that giant obscurins are highly expressed in normal pancreatic tissues, but their levels are markedly reduced in pancreatic ductal adenocarcinomas. Silencing of giant obscurins in non-tumorigenic Human Pancreatic Ductal Epithelial (HPDE) cells and obscurin-expressing Panc5.04 pancreatic cancer cells induces an elongated, spindle-like morphology and faster cell migration via cytoskeletal remodeling. Specifically, depletion of giant obscurins downregulates RhoA activity, which in turn results in reduced focal adhesion density, increased microtubule growth rate and faster actin dynamics. Although OBSCN knockdown is not sufficient to induce de novo tumorigenesis, it potentiates tumor growth in a subcutaneous implantation model and exacerbates metastasis in a hemispleen murine model of pancreatic cancer metastasis, thereby shortening survival. Collectively, these findings reveal a critical role of giant obscurins as tumor suppressors in normal pancreatic epithelium whose loss of function induces RhoA-dependent cytoskeletal remodeling, and promotes cell migration, tumor growth and metastasis.
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Affiliation(s)
- Soontorn Tuntithavornwat
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA
| | - Daniel J Shea
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA
| | - Bin Sheng Wong
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD, USA
| | - Talia Guardia
- Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD, USA
| | - Se Jong Lee
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA
| | - Christopher L Yankaskas
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD, USA
| | - Lei Zheng
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aikaterini Kontrogianni-Konstantopoulos
- Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, MD, USA.
| | - Konstantinos Konstantopoulos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA; Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD, USA; Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, USA.
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40
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Application of Microfluidic Systems for Breast Cancer Research. MICROMACHINES 2022; 13:mi13020152. [PMID: 35208277 PMCID: PMC8877872 DOI: 10.3390/mi13020152] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/11/2022] [Accepted: 01/17/2022] [Indexed: 02/06/2023]
Abstract
Cancer is a disease in which cells in the body grow out of control; breast cancer is the most common cancer in women in the United States. Due to early screening and advancements in therapeutic interventions, deaths from breast cancer have declined over time, although breast cancer remains the second leading cause of cancer death among women. Most deaths are due to metastasis, as cancer cells from the primary tumor in the breast form secondary tumors in remote sites in distant organs. Over many years, the basic biological mechanisms of breast cancer initiation and progression, as well as the subsequent metastatic cascade, have been studied using cell cultures and animal models. These models, although extremely useful for delineating cellular mechanisms, are poor predictors of physiological responses, primarily due to lack of proper microenvironments. In the last decade, microfluidics has emerged as a technology that could lead to a paradigm shift in breast cancer research. With the introduction of the organ-on-a-chip concept, microfluidic-based systems have been developed to reconstitute the dominant functions of several organs. These systems enable the construction of 3D cellular co-cultures mimicking in vivo tissue-level microenvironments, including that of breast cancer. Several reviews have been presented focusing on breast cancer formation, growth and metastasis, including invasion, intravasation, and extravasation. In this review, realizing that breast cancer can recur decades following post-treatment disease-free survival, we expand the discussion to account for microfluidic applications in the important areas of breast cancer detection, dormancy, and therapeutic development. It appears that, in the future, the role of microfluidics will only increase in the effort to eradicate breast cancer.
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Choi Y, Sunkara V, Lee Y, Cho YK. Exhausted mature dendritic cells exhibit a slower and less persistent random motility but retain chemotaxis against CCL19. LAB ON A CHIP 2022; 22:377-386. [PMID: 34927189 DOI: 10.1039/d1lc00876e] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Dendritic cells (DCs), which are immune sentinels in the peripheral tissues, play a number of roles, including patrolling for pathogens, internalising antigens, transporting antigens to the lymph nodes (LNs), interacting with T cells, and secreting cytokines. The well-coordinated migration of DCs under various immunological or inflammatory conditions is therefore essential to ensure an effective immune response. Upon maturation, DCs migrate faster and more persistently than immature DCs (iDCs), which is believed to facilitate CCR7-dependent chemotaxis. It has been reported that lipopolysaccharide-activated DCs produce IL-12 only transiently, and become resistant to further stimulation through exhaustion. However, little is known about the influence of DC exhaustion on cellular motility. Here, we studied the cellular migration of exhausted DCs in tissue-mimicked confined environments. We found that the speed of exhausted matured DCs (xmDCs) decreased significantly compared to active matured DCs (amDCs) and iDCs. In contrast, the speed fluctuation increased compared to that of amDCs and was similar to that of iDCs. In addition, the diffusivity of the xmDCs was significantly lower than that of the amDCs, which implies that DC exhaustion reduces the space exploration ability. Interestingly, CCR7-dependent chemotaxis against CCL19 in xmDCs was not considerably different from that observed in amDCs. Taken together, we report a unique intrinsic cell migration behaviour of xmDCs, which exhibit a slower, less persistent, and less diffusive random motility, which results in the DCs remaining at the site of infection, although a well-preserved CCR7-dependent chemotactic motility is maintained.
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Affiliation(s)
- Yongjun Choi
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Vijaya Sunkara
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Yeojin Lee
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
| | - Yoon-Kyoung Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
- Center for Soft and Living Matter, Institute for Basic Science (IBS), Ulsan 44919, Republic of Korea
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Mukherjee A, Zhang H, Ladner K, Brown M, Urbanski J, Grieco JP, Kapania RK, Lou E, Behkam B, Schmelz EM, Nain AS. Quantitative Biophysical Metrics for Rapid Evaluation of Ovarian Cancer Metastatic Potential. Mol Biol Cell 2022; 33:ar55. [PMID: 34985924 PMCID: PMC9265161 DOI: 10.1091/mbc.e21-08-0419] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Ovarian cancer is routinely diagnosed long after the disease has metastasized through the fibrous sub-mesothelium. Despite extensive research in the field linking ovarian cancer progression to increasingly poor prognosis, there are currently no validated cellular markers or hallmarks of ovarian cancer that can predict metastatic potential. To discern disease progression across a syngeneic mouse ovarian cancer progression model, here, we fabricated extracellular-matrix mimicking suspended fiber networks: crosshatches of mismatch diameters for studying protrusion dynamics, aligned same diameter networks of varying inter-fiber spacing for studying migration, and aligned nanonets for measuring cell forces. We found that migration correlated with disease, while force-disease biphasic relationship exhibited f-actin stress-fiber network dependence. However, unique to suspended fibers, coiling occurring at tips of protrusions and not the length or breadth of protrusions displayed strongest correlation with metastatic potential. To confirm that our findings were more broadly applicable beyond the mouse model, we repeated our studies in human ovarian cancer cell lines and found that the biophysical trends were consistent with our mouse model results. Altogether, we report complementary high throughput and high content biophysical metrics capable of identifying ovarian cancer metastatic potential on time scale of hours. [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text].
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Affiliation(s)
| | - Haonan Zhang
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA
| | - Katherine Ladner
- Division of Hematology, Oncology and Transplantation, Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | - Megan Brown
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA
| | - Jacob Urbanski
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA
| | - Joseph P Grieco
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA
| | - Rakesh K Kapania
- Department of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA
| | - Emil Lou
- Division of Hematology, Oncology and Transplantation, Masonic Cancer Center, University of Minnesota, Minneapolis, MN
| | - Bahareh Behkam
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA
| | - Eva M Schmelz
- Department of Human Nutrition, Foods and Exercise, Virginia Tech, Blacksburg, VA
| | - Amrinder S Nain
- Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA
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Bera K, Kiepas A, Godet I, Li Y, Mehta P, Ifemembi B, Paul CD, Sen A, Serra SA, Stoletov K, Tao J, Shatkin G, Lee SJ, Zhang Y, Boen A, Mistriotis P, Gilkes DM, Lewis JD, Fan CM, Feinberg AP, Valverde MA, Sun SX, Konstantopoulos K. Extracellular fluid viscosity enhances cell migration and cancer dissemination. Nature 2022; 611:365-373. [PMID: 36323783 PMCID: PMC9646524 DOI: 10.1038/s41586-022-05394-6] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 09/28/2022] [Indexed: 11/07/2022]
Abstract
Cells respond to physical stimuli, such as stiffness1, fluid shear stress2 and hydraulic pressure3,4. Extracellular fluid viscosity is a key physical cue that varies under physiological and pathological conditions, such as cancer5. However, its influence on cancer biology and the mechanism by which cells sense and respond to changes in viscosity are unknown. Here we demonstrate that elevated viscosity counterintuitively increases the motility of various cell types on two-dimensional surfaces and in confinement, and increases cell dissemination from three-dimensional tumour spheroids. Increased mechanical loading imposed by elevated viscosity induces an actin-related protein 2/3 (ARP2/3)-complex-dependent dense actin network, which enhances Na+/H+ exchanger 1 (NHE1) polarization through its actin-binding partner ezrin. NHE1 promotes cell swelling and increased membrane tension, which, in turn, activates transient receptor potential cation vanilloid 4 (TRPV4) and mediates calcium influx, leading to increased RHOA-dependent cell contractility. The coordinated action of actin remodelling/dynamics, NHE1-mediated swelling and RHOA-based contractility facilitates enhanced motility at elevated viscosities. Breast cancer cells pre-exposed to elevated viscosity acquire TRPV4-dependent mechanical memory through transcriptional control of the Hippo pathway, leading to increased migration in zebrafish, extravasation in chick embryos and lung colonization in mice. Cumulatively, extracellular viscosity is a physical cue that regulates both short- and long-term cellular processes with pathophysiological relevance to cancer biology.
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Affiliation(s)
- Kaustav Bera
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Alexander Kiepas
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Inês Godet
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Yizeng Li
- grid.264260.40000 0001 2164 4508Department of Biomedical Engineering, Binghamton University, SUNY, Binghamton, NY USA
| | - Pranav Mehta
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Brent Ifemembi
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Colin D. Paul
- grid.48336.3a0000 0004 1936 8075Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD USA
| | - Anindya Sen
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Selma A. Serra
- grid.5612.00000 0001 2172 2676Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Konstantin Stoletov
- grid.17089.370000 0001 2190 316XDepartment of Oncology, University of Alberta, Edmonton, Alberta Canada
| | - Jiaxiang Tao
- grid.443927.f0000 0004 0411 0530Department of Embryology, Carnegie Institution for Science, Baltimore, MD USA
| | - Gabriel Shatkin
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Se Jong Lee
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Yuqi Zhang
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA
| | - Adrianna Boen
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Panagiotis Mistriotis
- grid.252546.20000 0001 2297 8753Department of Chemical Engineering, Auburn University, Auburn, AL USA
| | - Daniele M. Gilkes
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Cellular and Molecular Medicine Program, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - John D. Lewis
- grid.17089.370000 0001 2190 316XDepartment of Oncology, University of Alberta, Edmonton, Alberta Canada
| | - Chen-Ming Fan
- grid.443927.f0000 0004 0411 0530Department of Embryology, Carnegie Institution for Science, Baltimore, MD USA
| | - Andrew P. Feinberg
- grid.21107.350000 0001 2171 9311Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Miguel A. Valverde
- grid.5612.00000 0001 2172 2676Laboratory of Molecular Physiology, Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Sean X. Sun
- grid.21107.350000 0001 2171 9311Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA ,grid.21107.350000 0001 2171 9311Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Konstantinos Konstantopoulos
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA. .,Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD, USA. .,Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
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Payne SL, Ram P, Srinivasan DH, Le TT, Levin M, Oudin MJ. Potassium channel-driven bioelectric signalling regulates metastasis in triple-negative breast cancer. EBioMedicine 2022; 75:103767. [PMID: 34933180 PMCID: PMC8688589 DOI: 10.1016/j.ebiom.2021.103767] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 11/22/2021] [Accepted: 12/06/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND There is a critical need to better understand the mechanisms that drive local cell invasion and metastasis to develop new therapeutics targeting metastatic disease. Bioelectricity is an important mediator of cellular processes and changes in the resting membrane potential (RMP) are associated with increased cancer cell invasion. However, whether the RMP can be used to target invading cancer cells is unknown. METHODS We employed both genetic and pharmacological manipulation of potassium channel activity and characterized the effects on breast cancer cell migration and invasion in vitro, and metastasis in an animal model of breast cancer. FINDINGS Our data demonstrate that altering the RMP of triple-negative breast cancer (TNBC) cells by manipulating potassium channel expression increases in vitro invasion, in vivo tumour growth and metastasis, and is accompanied by changes in gene expression associated with cell adhesion. INTERPRETATION We describe a novel mechanism for RMP-mediated cell migration involving cadherin-11 and the MAPK pathway. Importantly, we identify a new strategy to target metastatic TNBC in vivo by repurposing an FDA-approved potassium channel blocker. Our results demonstrate that bioelectricity regulates cancer cell invasion and metastasis which could lead to a new class of therapeutics for patients with metastatic disease. FUNDING This work was supported by the National Institutes of Health (R00-CA207866 to M.J.O.), Tufts University (Start-up funds from the School of Engineering to M.J.O., Tufts Collaborates Award to M.J.O. and M.L.), Allen Discovery centre program (Paul G. Allen Frontiers Group (12,171) to M.L.), and Breast Cancer Alliance Young Investigator Grant to M.J.O, Laidlaw Scholar funding to D.S. M.L. also gratefully acknowledges support of the Barton Family Foundation.
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Affiliation(s)
- Samantha L Payne
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, United States of America
| | - Priyanka Ram
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, United States of America
| | - Deepti H Srinivasan
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, United States of America
| | - Thanh T Le
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, United States of America
| | - Michael Levin
- Allen Discovery Center, 200 College Avenue, Tufts University, Medford, MA 02155, United States of America
| | - Madeleine J Oudin
- Department of Biomedical Engineering, 200 College Avenue, Tufts University, Medford MA 02155, United States of America.
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Juste-Lanas Y, Guerrero PE, Camacho-Gomez D, Hervas-Raluy S, García-Aznar JM, Gómez-Benito MJ. Confined Cell Migration and Asymmetric Hydraulic Environments to Evaluate The Metastatic Potential of Cancer Cells. J Biomech Eng 2021; 144:1129080. [PMID: 34864878 DOI: 10.1115/1.4053143] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Indexed: 11/08/2022]
Abstract
Metastasis, a hallmark of cancer development, is also the leading reason for most cancer-related deaths. Furthermore, cancer cells are highly adaptable to microenvironments and can migrate along pre-existing channel-like tracks of anatomical structures. However, more representative three-dimensional models are required to reproduce the heterogeneity of metastatic cell migration in vivo to further understand the metastasis mechanism and develop novel therapeutic strategies against it. Here, we designed and fabricated different microfluidic-based devices that recreate confined migration and diverse environments with asymmetric hydraulic resistances. Our results show different migratory potential between metastatic and nonmetastatic cancer cells in confined environments. Moreover, although nonmetastatic cells have not been tested against barotaxis due to their low migration capacity, metastatic cells present an enhanced preference to migrate through the lowest resistance path, being sensitive to barotaxis. This device, approaching the study of metastasis capability based on confined cell migration and barotactic cell decisions, may pave the way for the implementation of such technology to determine and screen the metastatic potential of certain cancer cells.
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Affiliation(s)
- Yago Juste-Lanas
- Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain; Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
| | - Pedro E Guerrero
- Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
| | - Daniel Camacho-Gomez
- Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
| | - Silvia Hervas-Raluy
- Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
| | - J M García-Aznar
- Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
| | - María José Gómez-Benito
- Department of Biochemistry and Molecular and Cellular Biology, University of Zaragoza, Zaragoza, Spain
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46
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Liu Y, Zhao W, Cheng R, Hodgson J, Egan M, Pope CNC, Nikolinakos PG, Mao L. Simultaneous biochemical and functional phenotyping of single circulating tumor cells using ultrahigh throughput and recovery microfluidic devices. LAB ON A CHIP 2021; 21:3583-3597. [PMID: 34346469 DOI: 10.1039/d1lc00454a] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Profiling circulating tumour cells (CTCs) in cancer patients' blood samples is critical to understand the complex and dynamic nature of metastasis. This task is challenged by the fact that CTCs are not only extremely rare in circulation but also highly heterogeneous in their molecular programs and cellular functions. Here we report a combinational approach for the simultaneous biochemical and functional phenotyping of patient-derived CTCs, using an integrated inertial ferrohydrodynamic cell separation (i2FCS) method and a single-cell microfluidic migration assay. This combinatorial approach offers unique capability to profile CTCs on the basis of their surface expression and migratory characteristics. We achieve this using the i2FCS method that successfully processes whole blood samples in a tumor cell marker and size agnostic manner. The i2FCS method enables an ultrahigh blood sample processing throughput of up to 2 × 105 cells s-1 with a blood sample flow rate of 60 mL h-1. Its short processing time (10 minutes for a 10 mL sample), together with a close-to-complete CTC recovery (99.70% recovery rate) and a low WBC contamination (4.07-log depletion rate by removing 99.992% of leukocytes), results in adequate and functional CTCs for subsequent studies in the single-cell migration device. For the first time, we employ this new approach to query CTCs with single-cell resolution in accordance with their expression of phenotypic surface markers and migration properties, revealing the dynamic phenotypes and the existence of a high-motility subpopulation of CTCs in blood samples from metastatic lung cancer patients. This method could be adopted to study the biological and clinical value of invasive CTC phenotypes.
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Affiliation(s)
- Yang Liu
- Department of Chemistry, The University of Georgia, Athens, Georgia, USA
| | - Wujun Zhao
- FCS Technology, LLC, Athens, GA, 30606, USA
| | - Rui Cheng
- School of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia, USA.
| | - Jamie Hodgson
- University Cancer & Blood Center, LLC, Athens, GA, 30607, USA
| | - Mary Egan
- University Cancer & Blood Center, LLC, Athens, GA, 30607, USA
| | | | | | - Leidong Mao
- School of Electrical and Computer Engineering, College of Engineering, The University of Georgia, Athens, Georgia, USA.
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Peláez R, Ochoa R, Pariente A, Villanueva-Martínez Á, Pérez-Sala Á, Larráyoz IM. Sterculic Acid Alters Adhesion Molecules Expression and Extracellular Matrix Compounds to Regulate Migration of Lung Cancer Cells. Cancers (Basel) 2021; 13:cancers13174370. [PMID: 34503180 PMCID: PMC8431022 DOI: 10.3390/cancers13174370] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/19/2021] [Accepted: 08/25/2021] [Indexed: 12/11/2022] Open
Abstract
Sterculic acid (SA) is a cyclopropenoid fatty acid isolated from Sterculia foetida seeds. This molecule is a well-known inhibitor of SCD1 enzyme, also known as ∆9-desaturase, which main function is related to lipid metabolism. However, recent studies have demonstrated that it also modifies many other pathways and the underlying gene expression. SCD overexpression, or up-regulated activity, has been associated with tumor aggressiveness and poor prognosis in many cancer types. Scd1 down-regulation, with different inhibitors or molecular strategies, reduces tumor cell survival and cell proliferation, as well as the chemoresistance associated with cancer stem cell presence. However, SA effects over cancer cell migration and extracellular matrix or adhesion molecules have not been described in cancer cells up to now. We used different migration assays and qPCR gene expression analysis to evaluate the effects of SA treatment in cancer cells. The results reveal that SA induces tumoral cell death at high doses, but we also observed that lower SA-treatments induce cell adhesion-migration capacity reduction as a result of modifications in the expression of genes related to integrins and extracellular matrix compounds. Overall, the functional and transcriptomic findings suggest that SA could represent a new inhibitor activity of epithelial to mesenchymal transition.
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Affiliation(s)
- Rafael Peláez
- Correspondence: (R.P.); (I.M.L.); Tel.: +34-941-278-770 ((ext. 84866) (R.P.) & (ext. 89878) (I.M.L.))
| | | | | | | | | | - Ignacio M. Larráyoz
- Correspondence: (R.P.); (I.M.L.); Tel.: +34-941-278-770 ((ext. 84866) (R.P.) & (ext. 89878) (I.M.L.))
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48
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Abstract
Cancer is a multi-step process where normal cells become transformed, grow, and may disseminate to establish new lesions within the body. In recent years, the physical properties of individual cells and the tissue microenvironment have been shown to be potent determinants of cancer progression. Biophysical tools have long been used to examine cell and tissue mechanics, morphology, and migration. However, exciting developments have linked these physical traits to gene expression changes that drive metastatic seeding, organ selectivity, and tumor growth. Here, we present some vignettes to address recent studies to show progress in harnessing biophysical tools and concepts to gain insights into metastasis.
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Affiliation(s)
- Woong Young So
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kandice Tanner
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Yankaskas CL, Bera K, Stoletov K, Serra SA, Carrillo-Garcia J, Tuntithavornwat S, Mistriotis P, Lewis JD, Valverde MA, Konstantopoulos K. The fluid shear stress sensor TRPM7 regulates tumor cell intravasation. SCIENCE ADVANCES 2021; 7:7/28/eabh3457. [PMID: 34244134 PMCID: PMC8270498 DOI: 10.1126/sciadv.abh3457] [Citation(s) in RCA: 57] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 05/28/2021] [Indexed: 05/09/2023]
Abstract
Tumor cell intravasation preferentially occurs in regions of low fluid shear because high shear is detrimental to tumor cells. Here, we describe a molecular mechanism by which cells avoid high shear during intravasation. The transition from migration to intravasation was modeled using a microfluidic device where cells migrating inside longitudinal tissue-like microchannels encounter an orthogonal channel in which fluid flow induces physiological shear stresses. This approach was complemented with intravital microscopy, patch-clamp, and signal transduction imaging techniques. Fluid shear-induced activation of the transient receptor potential melastatin 7 (TRPM7) channel promotes extracellular calcium influx, which then activates RhoA/myosin-II and calmodulin/IQGAP1/Cdc42 pathways to coordinate reversal of migration direction, thereby avoiding shear stress. Cells displaying higher shear sensitivity due to higher TRPM7 activity levels intravasate less efficiently and establish less invasive metastatic lesions. This study provides a mechanistic interpretation for the role of shear stress and its sensor, TRPM7, in tumor cell intravasation.
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Affiliation(s)
- Christopher L Yankaskas
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Kaustav Bera
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
| | | | - Selma A Serra
- Laboratory of Molecular Physiology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Julia Carrillo-Garcia
- Laboratory of Molecular Physiology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Soontorn Tuntithavornwat
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
| | - Panagiotis Mistriotis
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
| | - John D Lewis
- Department of Oncology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - Miguel A Valverde
- Laboratory of Molecular Physiology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Konstantinos Konstantopoulos
- Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA.
- Johns Hopkins Institute for NanoBioTechnology, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA
- Department of Oncology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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50
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Lee RM, Vitolo MI, Losert W, Martin SS. Distinct roles of tumor associated mutations in collective cell migration. Sci Rep 2021; 11:10291. [PMID: 33986306 PMCID: PMC8119502 DOI: 10.1038/s41598-021-89130-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 03/10/2021] [Indexed: 02/03/2023] Open
Abstract
Recent evidence suggests that groups of cells are more likely to form clinically dangerous metastatic tumors, emphasizing the importance of understanding mechanisms underlying collective behavior. The emergent collective behavior of migrating cell sheets in vitro has been shown to be disrupted in tumorigenic cells but the connection between this behavior and in vivo tumorigenicity remains unclear. We use particle image velocimetry to measure a multidimensional migration phenotype for genetically defined human breast epithelial cell lines that range in their in vivo behavior from non-tumorigenic to aggressively metastatic. By using cells with controlled mutations, we show that PTEN deletion enhances collective migration, while Ras activation suppresses it, even when combined with PTEN deletion. These opposing effects on collective migration of two mutations that are frequently found in patient tumors could be exploited in the development of novel treatments for metastatic disease. Our methods are based on label-free phase contrast imaging, and thus could easily be applied to patient tumor cells. The short time scales of our approach do not require potentially selective growth, and thus in combination with label-free imaging would allow multidimensional collective migration phenotypes to be utilized in clinical assessments of metastatic potential.
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Affiliation(s)
- Rachel M. Lee
- grid.411024.20000 0001 2175 4264Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201 USA ,grid.164295.d0000 0001 0941 7177Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742 USA
| | - Michele I. Vitolo
- grid.411024.20000 0001 2175 4264Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Physiology, University of Maryland School of Medicine, Baltimore, MD 21201 USA
| | - Wolfgang Losert
- grid.411024.20000 0001 2175 4264Department of Physiology, University of Maryland School of Medicine, Baltimore, MD 21201 USA ,grid.164295.d0000 0001 0941 7177Department of Physics, University of Maryland, College Park, MD 20742 USA
| | - Stuart S. Martin
- grid.411024.20000 0001 2175 4264Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD 21201 USA ,grid.411024.20000 0001 2175 4264Department of Physiology, University of Maryland School of Medicine, Baltimore, MD 21201 USA
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