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Xu X, Liu Y, Liu Y, Yu Y, Yang M, Lu L, Chan L, Liu B. Functional hydrogels for hepatocellular carcinoma: therapy, imaging, and in vitro model. J Nanobiotechnology 2024; 22:381. [PMID: 38951911 PMCID: PMC11218144 DOI: 10.1186/s12951-024-02547-9] [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: 10/09/2023] [Accepted: 05/13/2024] [Indexed: 07/03/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is among the most common malignancies worldwide and is characterized by high rates of morbidity and mortality, posing a serious threat to human health. Interventional embolization therapy is the main treatment against middle- and late-stage liver cancer, but its efficacy is limited by the performance of embolism, hence the new embolic materials have provided hope to the inoperable patients. Especially, hydrogel materials with high embolization strength, appropriate viscosity, reliable security and multifunctionality are widely used as embolic materials, and can improve the efficacy of interventional therapy. In this review, we have described the status of research on hydrogels and challenges in the field of HCC therapy. First, various preparation methods of hydrogels through different cross-linking methods are introduced, then the functions of hydrogels related to HCC are summarized, including different HCC therapies, various imaging techniques, in vitro 3D models, and the shortcomings and prospects of the proposed applications are discussed in relation to HCC. We hope that this review is informative for readers interested in multifunctional hydrogels and will help researchers develop more novel embolic materials for interventional therapy of HCC.
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Affiliation(s)
- Xiaoying Xu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China
| | - Yu Liu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China
| | - Yanyan Liu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China
| | - Yahan Yu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China
| | - Mingqi Yang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China
| | - Ligong Lu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China.
| | - Leung Chan
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China.
| | - Bing Liu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, 519000, Guangdong, China.
- Guangzhou First People's Hospital, the Second Affiliated Hospital, School of Medicine, South China University of Technology, 510006, Guangzhou, China.
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Teixeira Polez R, Huynh N, Pridgeon CS, Valle-Delgado JJ, Harjumäki R, Österberg M. Insights into spheroids formation in cellulose nanofibrils and Matrigel hydrogels using AFM-based techniques. Mater Today Bio 2024; 26:101065. [PMID: 38706731 PMCID: PMC11066555 DOI: 10.1016/j.mtbio.2024.101065] [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: 11/11/2023] [Revised: 03/30/2024] [Accepted: 04/15/2024] [Indexed: 05/07/2024] Open
Abstract
The recent FDA decision to eliminate animal testing requirements emphasises the role of cell models, such as spheroids, as regulatory test alternatives for investigations of cellular behaviour, drug responses, and disease modelling. The influence of environment on spheroid formation are incompletely understood, leading to uncertainty in matrix selection for scaffold-based 3D culture. This study uses atomic force microscopy-based techniques to quantify cell adhesion to Matrigel and cellulose nanofibrils (CNF), and cell-cell adhesion forces, and their role in spheroid formation of hepatocellular carcinoma (HepG2) and induced pluripotent stem cells (iPS(IMR90)-4). Results showed different cell behaviour in CNF and Matrigel cultures. Both cell lines formed compact spheroids in CNF but loose cell aggregates in Matrigel. Interestingly, the type of cell adhesion protein, and not the bond strength, appeared to be a key factor in the formation of compact spheroids. The gene expression of E- and N-cadherins, proteins on cell membrane responsible for cell-cell interactions, was increased in CNF culture, leading to formation of compact spheroids while Matrigel culture induced integrin-laminin binding and downregulated E-cadherin expression, resulting in looser cell aggregates. These findings enhance our understanding of cell-biomaterial interactions in 3D cultures and offer insights for improved 3D cell models, culture biomaterials, and applications in drug research.
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Affiliation(s)
- Roberta Teixeira Polez
- Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, FI-00076, Aalto, Finland
- Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00790, Helsinki, Finland
| | - Ngoc Huynh
- Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, FI-00076, Aalto, Finland
| | - Chris S. Pridgeon
- Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, FI-00076, Aalto, Finland
- Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00790, Helsinki, Finland
| | - Juan José Valle-Delgado
- Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, FI-00076, Aalto, Finland
| | - Riina Harjumäki
- Drug Research Program, Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, 00790, Helsinki, Finland
| | - Monika Österberg
- Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, FI-00076, Aalto, Finland
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3
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Rodrigues DB, Reis RL, Pirraco RP. Modelling the complex nature of the tumor microenvironment: 3D tumor spheroids as an evolving tool. J Biomed Sci 2024; 31:13. [PMID: 38254117 PMCID: PMC10804490 DOI: 10.1186/s12929-024-00997-9] [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: 05/30/2023] [Accepted: 01/05/2024] [Indexed: 01/24/2024] Open
Abstract
Cancer remains a serious burden in society and while the pace in the development of novel and more effective therapeutics is increasing, testing platforms that faithfully mimic the tumor microenvironment are lacking. With a clear shift from animal models to more complex in vitro 3D systems, spheroids emerge as strong options in this regard. Years of development have allowed spheroid-based models to better reproduce the biomechanical cues that are observed in the tumor-associated extracellular matrix (ECM) and cellular interactions that occur in both a cell-cell and cell-ECM manner. Here, we summarize some of the key cellular interactions that drive tumor development, progression and invasion, and how successfully are these interactions recapitulated in 3D spheroid models currently in use in the field. We finish by speculating on future advancements in the field and on how these can shape the relevance of spherical 3D models for tumor modelling.
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Affiliation(s)
- Daniel B Rodrigues
- 3B's Research Group, I3Bs, Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017, Guimarães, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga, 4805-017, Guimarães, Portugal
| | - Rui L Reis
- 3B's Research Group, I3Bs, Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017, Guimarães, Portugal
- ICVS/3B's, PT Government Associate Laboratory, Braga, 4805-017, Guimarães, Portugal
| | - Rogério P Pirraco
- 3B's Research Group, I3Bs, Research Institute on Biomaterials, Biodegradables and Biomimetics, University of Minho, Headquarters of the European Institute of Excellence On Tissue Engineering and Regenerative Medicine, AvePark, Parque de Ciência e Tecnologia, Zona Industrial da Gandra, Barco, 4805-017, Guimarães, Portugal.
- ICVS/3B's, PT Government Associate Laboratory, Braga, 4805-017, Guimarães, Portugal.
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Chen Y, Liu Y, Chen S, Zhang L, Rao J, Lu X, Ma Y. Liver organoids: a promising three-dimensional model for insights and innovations in tumor progression and precision medicine of liver cancer. Front Immunol 2023; 14:1180184. [PMID: 37334366 PMCID: PMC10272526 DOI: 10.3389/fimmu.2023.1180184] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 05/23/2023] [Indexed: 06/20/2023] Open
Abstract
Primary liver cancer (PLC) is one type of cancer with high incidence rate and high mortality rate in the worldwide. Systemic therapy is the major treatment for PLC, including surgical resection, immunotherapy and targeted therapy. However, mainly due to the heterogeneity of tumors, responses to the above drug therapy differ from person to person, indicating the urgent needs for personalized treatment for PLC. Organoids are 3D models derived from adult liver tissues or pluripotent stem cells. Based on the ability to recapitulate the genetic and functional features of in vivo tissues, organoids have assisted biomedical research to make tremendous progress in understanding disease origin, progression and treatment strategies since their invention and application. In liver cancer research, liver organoids contribute greatly to reflecting the heterogeneity of liver cancer and restoring tumor microenvironment (TME) by co-organizing tumor vasculature and stromal components in vitro. Therefore, they provide a promising platform for further investigation into the biology of liver cancer, drug screening and precision medicine for PLC. In this review, we discuss the recent advances of liver organoids in liver cancer, in terms of generation methods, application in precision medicine and TME modeling.
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Affiliation(s)
- Yukun Chen
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Yujun Liu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Shimin Chen
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Long Zhang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Jiawei Rao
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial International Cooperation Base of Science and Technology (Organ Transplantation), The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xinjun Lu
- Department of Biliary-Pancreatic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yi Ma
- Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial International Cooperation Base of Science and Technology (Organ Transplantation), The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Laborda-Illanes A, Sánchez-Alcoholado L, Castellano-Castillo D, Boutriq S, Plaza-Andrades I, Aranega-Martín L, Peralta-Linero J, Alba E, González-González A, Queipo-Ortuño MI. Development of in vitro and in vivo tools to evaluate the antiangiogenic potential of melatonin to neutralize the angiogenic effects of VEGF and breast cancer cells: CAM assay and 3D endothelial cell spheroids. Biomed Pharmacother 2023; 157:114041. [PMID: 36423543 DOI: 10.1016/j.biopha.2022.114041] [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: 10/05/2022] [Revised: 11/15/2022] [Accepted: 11/19/2022] [Indexed: 11/22/2022] Open
Abstract
Melatonin is a molecule with different antitumor actions in breast cancer and has been described as an inhibitor of vascular endothelial growth factor (VEGF). Despite the recognition of the key role exerted by VEGF in tumor angiogenesis, limitations arise when developing models to test new antiangiogenic molecules. Thus, the aim of this study was to develop rapid, economic, high capacity and easy handling angiogenesis assays to test the antiangiogenic effects of melatonin and demonstrate its most effective dose to neutralize and interfere with the angiogenic sprouting effect induced by VEGF and MCF-7. To perform this, 3D endothelial cell (HUVEC) spheroids and a chicken embryo chorioallantoic membrane (CAM) assay were used. The results showed that VEGF and MCF-7 were able to stimulate the sprouting of the new vessels in 3D endothelial spheroids and the CAM assay, and that melatonin had an inhibitory effect on angiogenesis. Specifically, as the 1 mM pharmacological dose was the only effective dose able to inhibit the formation of ramifications around the alginate in the CAM assay model, this inhibition was shown to occur in a dose-dependent manner. Taken together, these techniques represent novel tools for the development of antiangiogenic molecules such as melatonin, with possible implications for the therapy of breast cancer.
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Affiliation(s)
- Aurora Laborda-Illanes
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Lidia Sánchez-Alcoholado
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Daniel Castellano-Castillo
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Soukaina Boutriq
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Isaac Plaza-Andrades
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Lucía Aranega-Martín
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Jesús Peralta-Linero
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain.
| | - Emilio Alba
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain; Department of Medicine and Pediatrics. Faculty of Medicine, University of Malaga, 29071 Malaga, Spain.
| | - Alicia González-González
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain; Department of Medicine and Pediatrics. Faculty of Medicine, University of Malaga, 29071 Malaga, Spain; Department of Physiology and Pharmacology. Faculty of Medicine, University of Cantabria, and Valdecilla Health Research Institute (IDIVAL), 39011 Santander, Spain.
| | - María Isabel Queipo-Ortuño
- Intercenter Medical Oncology Clinical Management Unit, Regional and Virgen de la Victoria University Hospitals, Málaga Biomedical Research Institute (IBIMA)-CIMES-UMA, 29010 Málaga, Spain; Department of Surgical Specialties, Biochemical and Immunology. Faculty of Medicine, University of Málaga, 29071 Malaga, Spain.
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Optimization of 3D-aggregated spheroid model (3D-ASM) for selecting high efficacy drugs. Sci Rep 2022; 12:18937. [PMID: 36344810 PMCID: PMC9640609 DOI: 10.1038/s41598-022-23474-5] [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: 08/05/2022] [Accepted: 11/01/2022] [Indexed: 11/09/2022] Open
Abstract
Various three-dimensional (3D) cell culture methods have been developed to implement tumor models similar to in vivo. However, the conventional 3D cell culture method has limitations such as difficulty in using an extracellular matrix (ECM), low experimental reproducibility, complex 3D cell culture protocol, and difficulty in applying to high array plates such as 96- or 384-plates. Therefore, detailed protocols related to robust 3D-aggregated spheroid model (3D-ASM) production were optimized and proposed. A specially designed wet chamber was used to implement 3D-ASM using the hepatocellular carcinoma (HCC) cell lines, and the conditions were established for the icing step to aggregate the cells in one place and optimized ECM gelation step. Immunofluorescence (IF) staining is mainly used to simultaneously analyze drug efficacy and changes in drug-target biomarkers. By applying the IF staining method to the 3D-ASM model, confocal microscopy imaging and 3D deconvolution image analysis were also successfully performed. Through a comparative study of drug response with conventional 2D-high throughput screening (HTS), the 3D-HTS showed a more comprehensive range of drug efficacy analyses for HCC cell lines and enabled selective drug efficacy analysis for the FDA-approved drug sorafenib. This suggests that increased drug resistance under 3D-HTS conditions does not reduce the analytical discrimination of drug efficacy, also drug efficacy can be analyzed more selectively compared to the conventional 2D-HTS assay. Therefore, the 3D-HTS-based drug efficacy analysis method using an automated 3D-cell spotter/scanner, 384-pillar plate/wet chamber, and the proposed 3D-ASM fabrication protocol is a very suitable platform for analyzing target drug efficacy in HCC cells.
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Morphometric imaging biomarker identifies Alzheimer's disease even among mixed dementia patients. Sci Rep 2022; 12:17675. [PMID: 36319674 PMCID: PMC9626495 DOI: 10.1038/s41598-022-21796-y] [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: 07/08/2022] [Accepted: 10/04/2022] [Indexed: 11/05/2022] Open
Abstract
A definitive diagnosis of Alzheimer's disease (AD), even in the presence of co-morbid neuropathology (occurring in > 50% of AD cases), is a significant unmet medical need that has obstructed the discovery of effective AD therapeutics. An AD-biomarker, the Morphometric Imaging (MI) assay on cultured skin fibroblasts, was used in a double-blind, allcomers (ages 55-90) trial of 3 patient cohorts: AD dementia patients, N = 25, all autopsy confirmed, non-AD dementia patients, N = 21-all autopsy or genetically confirmed; and non-demented control (AHC) patients N = 27. Fibroblasts cells isolated from 3-mm skin punch biopsies were cultured on a 3-D Matrigel matrix with movement dynamics quantified by image analysis. From counts of all aggregates (N) in a pre-defined field image and measures of the average area (A) of aggregates per image, the number-to-area ratios in a natural logarithmic form Ln(A/N) were determined for all patient samples. AD cell lines formed fewer large aggregates (cells clustered together) than non-AD or AHC cell lines. The cut-off value of Ln(A/N) = 6.98 was determined from the biomarker values of non-demented apparently healthy control (AHC) cases. Unequivocal validation by autopsy, genetics, and/or dementia criteria was possible for all 73 patient samples. The samples were collected from multiple centers-four US centers and one center in Japan. The study found no effect of center-to-center variation in fibroblast isolation, cell growth, or cell aggregation values (Ln(A/N)). The autopsy-confirmed MI Biomarker distinguished AD from non-AD dementia (non-ADD) patients and correctly diagnosed AD even in the presence of other co-morbid pathologies at autopsy (True Positive = 25, False Negative = 0, False Positive = 0, True Negative = 21, and Accuracy = 100%. Sensitivity and specificity were calculated as 100% (95% CI = 84 to 100.00%). From these findings, the MI assay appears to detect AD with great accuracy-even with abundant co-morbidity.
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Lee SY, Park LM, Oh YJ, Choi DH, Lee DW. High Throughput 3D Cell Migration Assay Using Micropillar/Microwell Chips. Molecules 2022; 27:molecules27165306. [PMID: 36014542 PMCID: PMC9416089 DOI: 10.3390/molecules27165306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/08/2022] [Accepted: 08/16/2022] [Indexed: 11/28/2022] Open
Abstract
The 3D cell migration assay was developed for the evaluation of drugs that inhibit cell migration using high throughput methods. Wound-healing assays have commonly been used for cell migration assays. However, these assays have limitations in mimicking the in vivo microenvironment of the tumor and measuring cell viability for evaluation of cell migration inhibition without cell toxicity. As an attempt to manage these limitations, cells were encapsulated with Matrigel on the surface of the pillar, and an analysis of the morphology of cells attached to the pillar through Matrigel was performed for the measurement of cell migration. The micropillar/microwell chips contained 532 pillars and wells, which measure the migration and viability of cells by analyzing the roundness and size of the cells, respectively. Cells seeded in Matrigel have a spherical form. Over time, cells migrate through the Matrigel and attach to the surface of the pillar. Cells that have migrated and adhered have a diffused shape that is different from the initial spherical shape. Based on our analysis of the roundness of the cells, we were able to distinguish between the diffuse and spherical shapes. Cells in Matrigel on the pillar that were treated with migration-inhibiting drugs did not move to the surface of the pillar and remained in spherical forms. During the conduct of experiments, 70 drugs were tested in single chips and migration-inhibiting drugs without cell toxicity were identified. Conventional migration assays were performed using transwell for verification of the four main migration-inhibiting drugs found on the chip.
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Affiliation(s)
- Sang-Yun Lee
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Korea
| | - Lily M. Park
- Cytek Biosciences, 47215 Lakeview Blvd, Fremont, CA 95348, USA
| | - Yoo Jung Oh
- Department of Biomedical Engineering, Konyang University, Daejeon 35365, Korea
| | - Dong Hyuk Choi
- Department of Biomedical Engineering, Konyang University, Daejeon 35365, Korea
- Correspondence: (D.H.C.); (D.W.L.)
| | - Dong Woo Lee
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Korea
- Medical & Bio Decision (MBD), Suwon 16229, Korea
- Correspondence: (D.H.C.); (D.W.L.)
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Lee SY, Hwang HJ, Ku B, Lee DW. Cell Proliferation Receptor-Enhanced 3D High-Throughput Screening Model for Optimized Drug Efficacy Evaluation in Breast Cancer Cells. Anal Chem 2022; 94:11838-11847. [PMID: 35977405 DOI: 10.1021/acs.analchem.2c02222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A higher correlation of epidermal growth factor receptor (EGFR)-targeting drugs has been reported with the use of the cell proliferation receptor-enhanced three-dimensional high-throughput screening model (CPRE 3D-HTS model) compared with two-dimensional (2D) cell-based HTS. A greater expression of differential human EGFR 2 (HER2) protein between HER2-positive and HER2-negative cell lines was observed in breast cancer (BC) cell lines cultured using the CPRE 3D-HTS model compared with 2D-cultured cells. When using 2D-cultured cells, properties such as the expression of the cell proliferation receptor are lost as the cells attach to the bottom of the well plate. In an effort to solve this problem, the CPRE 3D-HTS model expressing high cell proliferation receptors was optimized by the selection of alginate as the extracellular matrix. Results from the use of the CPRE 3D-HTS model showed higher drug resistance with increased expression of drug resistance-related proteins. Of particular interest, a higher correlation of HER2-targeted drugs was observed with the use of the CPRE 3D-HTS model. In order to validate this higher correlation of target drugs observed in the CPRE 3D-HTS model, the results of Western blot analysis and high content imaging analysis were analyzed, which confirmed that 3D-cultured BC cell lines showed a greater difference in the expression of HER2-positive and HER2-negative BC cell lines than 2D-cultured cells. Thus, the use of CPRE 3D-HTS using a 384-pillar plate resulted in increased accuracy when screening HER2-targeted drugs in BC, and it is a very useful platform for analyzing the efficacy of targeted drugs by enhancing the expression of HER2.
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Affiliation(s)
- Sang-Yun Lee
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
| | - Hyun Ju Hwang
- Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
| | - Bosung Ku
- Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
| | - Dong Woo Lee
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea.,Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
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Heredia-Soto V, Escudero J, Miguel M, Ruiz P, Gallego A, Berjón A, Hernández A, Martínez-Díez M, Zheng S, Tang J, Hardisson D, Feliu J, Redondo A, Mendiola M. Antitumoral Effect of Plocabulin in High Grade Serous Ovarian Carcinoma Cell Line Models. Front Oncol 2022; 12:862321. [PMID: 35372006 PMCID: PMC8969563 DOI: 10.3389/fonc.2022.862321] [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: 01/25/2022] [Accepted: 02/25/2022] [Indexed: 11/13/2022] Open
Abstract
Ovarian cancer (OC) is a life-threatening tumor and the deadliest among gynecological cancers in developed countries. First line treatment with a carboplatin/paclitaxel regime is initially effective in the majority of patients, but most advanced OC will recur and develop drug resistance. Therefore, the identification of alternative therapies is needed. In this study, we employed a panel of high-grade serous ovarian cancer (HGSOC) cell lines, in monolayer and three-dimensional cell cultures. We evaluated the effects of a novel tubulin-binding agent, plocabulin, on proliferation, cell cycle, migration and invasion. We have also tested combinations of plocabulin with several drugs currently used in OC in clinical practice. Our results show a potent antitumor activity of plocabulin, inhibiting proliferation, disrupting microtubule network, and decreasing their migration and invasion capabilities. We did not observe any synergistic combination of plocabulin with cisplatin, doxorubicin, gemcitabine or trabectedin. In conclusion, plocabulin has a potent antitumoral effect in HGSOC cell lines that warrants further clinical investigation.
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Affiliation(s)
- Victoria Heredia-Soto
- Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.,Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Escudero
- Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - María Miguel
- Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - Patricia Ruiz
- Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - Alejandro Gallego
- Department of Medical Oncology, Hospital Universitario La Paz, Madrid, Spain
| | - Alberto Berjón
- Department of Pathology, Hospital Universitario La Paz, Madrid, Spain.,Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
| | - Alicia Hernández
- Department of Obstetrics and Gynecology, Hospital Universitario La Paz, Madrid, Spain.,Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marta Martínez-Díez
- Cell Biology Department, Research and Development, Oncology Business Unit, Pharmamar, Madrid, Spain
| | - Shuyu Zheng
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jing Tang
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - David Hardisson
- Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.,Department of Pathology, Hospital Universitario La Paz, Madrid, Spain.,Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.,Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Jaime Feliu
- Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.,Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.,Department of Medical Oncology, Hospital Universitario La Paz, Madrid, Spain.,Cátedra UAM-ANGEM, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Andrés Redondo
- Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.,Department of Medical Oncology, Hospital Universitario La Paz, Madrid, Spain.,Cátedra UAM-ANGEM, Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Marta Mendiola
- Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.,Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain
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