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Chen S, Qiu Q, Wang D, She D, Yin B, Gu G, Chai M, Heo DN, He H, Wang J. Dual-sensitive drug-loaded hydrogel system for local inhibition of post-surgical glioma recurrence. J Control Release 2022; 349:565-579. [PMID: 35835399 DOI: 10.1016/j.jconrel.2022.07.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 07/03/2022] [Accepted: 07/08/2022] [Indexed: 10/17/2022]
Abstract
Local treatment after resection to inhibit glioma recurrence is thought to able to meet the real medical needs. However, the only clinically approved local glioma treatment-wafer containing bis(2-chloroethyl) nitrosourea (BCNU) showed very limited effects. Herein, in order to inhibit tumor recurrence with prolonged and synergistic therapeutic effect of drugs after tumor resection, an in situ dual-sensitive hydrogel drug delivery system loaded with two synergistic chemo-drugs BCNU and temozolomide (TMZ) was developed. The thermosensitive hydrogel was loaded with reactive oxygen species (ROS)-sensitive poly (lactic-co-glycolic) acid nanoparticles (NPs) encapsulating both BCNU and TMZ and also free BCNU and TMZ. The in vitro synergistic effect of BCNU and TMZ and in vivo presence of ROS at the residual tumor site were confirmed. The prepared ROS-sensitive NPs and thermosensitive hydrogel, as well as the long-term release behavior of drugs and NPs, were fully characterized both in vitro and in vivo. After >90% glioblastoma resection, the dual-sensitive hydrogel drug delivery system was injected into the resection cavity. The median survival time of the experimental group reached 65 days which was twice as long as the Resection only group, implying that this in situ drug delivery system effectively inhibited tumor recurrence. Overall, this study provides new ideas and strategies for the inhibition of postoperative glioma recurrence.
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Affiliation(s)
- Sunhui Chen
- Department of Pharmaceutics, School of Pharmacy, Fudan University & Key Laboratory of Smart Drug Delivery, Ministry of Education, Shanghai 201203, People's Republic of China; Department of Pharmacy, Fujian Provincial Hospital & Provincial Clinical Medical College of Fujian Medical University, Fuzhou 350001, People's Republic of China
| | - Qiujun Qiu
- Department of Pharmaceutics, School of Pharmacy, Fudan University & Key Laboratory of Smart Drug Delivery, Ministry of Education, Shanghai 201203, People's Republic of China
| | - Dongdong Wang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, People's Republic of China
| | - Dejun She
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, People's Republic of China
| | - Bo Yin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, People's Republic of China
| | - Guolong Gu
- Department of Pharmaceutics, School of Pharmacy, Fudan University & Key Laboratory of Smart Drug Delivery, Ministry of Education, Shanghai 201203, People's Republic of China
| | - Meihong Chai
- Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin 300070, People's Republic of China
| | - Dong Nyoung Heo
- Department of Dental Materials, School of Dentistry, Kyung Hee University, Seoul 02447, Republic of Korea
| | - Huining He
- Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin 300070, People's Republic of China.
| | - Jianxin Wang
- Department of Pharmaceutics, School of Pharmacy, Fudan University & Key Laboratory of Smart Drug Delivery, Ministry of Education, Shanghai 201203, People's Republic of China.
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Li C, Yi C, Chen Y, Xi S, Guo C, Yang Q, Wang J, Sai K, Zhang J, Ke C, Chen F, Lv Y, Zhang X, Chen Z. Identify glioma recurrence and treatment effects with triple-tracer PET/CT. BMC Med Imaging 2021; 21:92. [PMID: 34059015 PMCID: PMC8165792 DOI: 10.1186/s12880-021-00624-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 05/24/2021] [Indexed: 02/16/2023] Open
Abstract
Background Differential diagnosis of tumour recurrence (TuR) from treatment effects (TrE), mostly induced by radiotherapy and chemotherapy, is still difficult by using conventional computed tomography (CT) or magnetic resonance (MR) imaging. We have investigated the diagnostic performance of PET/CT with 3 tracers, 13N-NH3, 18F-FDOPA, and 18F-FDG, to identify TuR and TrE in glioma patients following treatment. Methods Forty-three patients with MR-suspected recurrent glioma were included. The maximum and mean standardized uptake values (SUVmax and SUVmean) of the lesion and the lesion-to-normal grey-matter cortex uptake (L/G) ratio were obtained from each tracer PET/CT. TuR or TrE was determined by histopathology or clinical MR follow-up for at least 6 months. Results In this cohort, 34 patients were confirmed to have TuR, and 9 patients met the diagnostic standard of TrE. The SUVmax and SUVmean of 13N-NH3 and 18F-FDOPA PET/CT at TuR lesions were significantly higher compared with normal brain tissue (13N-NH3 0.696 ± 0.558, 0.625 ± 0.507 vs 0.486 ± 0.413; 18F-FDOPA 0.455 ± 0.518, 0.415 ± 0.477 vs 0.194 ± 0.203; both P < 0.01), but there was no significant difference in 18F-FDG (6.918 ± 3.190, 6.016 ± 2.807 vs 6.356 ± 3.104, P = 0.290 and 0.493). L/G ratios of 13N-NH3 and 18F-FDOPA were significantly higher in TuR than in TrE group (13N-NH3, 1.573 ± 0.099 vs 1.025 ± 0.128, P = 0.008; 18F-FDOPA, 2.729 ± 0.131 vs 1.514 ± 0.141, P < 0.001). The sensitivity, specificity and AUC (area under the curve) by ROC (receiver operating characteristic) analysis were 57.7%, 100% and 0.803, for 13N-NH3; 84.6%, 100% and 0.938, for 18F-FDOPA; and 80.8%, 100%, and 0.952, for the combination, respectively. Conclusion Our results suggest that although multiple tracer PET/CT may improve differential diagnosis efficacy, for glioma TuR from TrE, 18F-FDOPA PET-CT is the most reliable. The combination of 18F-FDOPA and 13N-NH3 does not increase the diagnostic efficiency, while 18F-FDG is not worthy for differential diagnosis of glioma TuR and TrE.
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Affiliation(s)
- Cong Li
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Chang Yi
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China
| | - Yingshen Chen
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Shaoyan Xi
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Chengcheng Guo
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Qunying Yang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Jian Wang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Ke Sai
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Ji Zhang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Chao Ke
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Fanfan Chen
- Department of Neurosurgery, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People's Hospital, Shenzhen, 518035, China
| | - Yanchun Lv
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - Xiangsong Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Zhongping Chen
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China.
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Golebiewska A, Hau AC, Oudin A, Stieber D, Yabo YA, Baus V, Barthelemy V, Klein E, Bougnaud S, Keunen O, Wantz M, Michelucci A, Neirinckx V, Muller A, Kaoma T, Nazarov PV, Azuaje F, De Falco A, Flies B, Richart L, Poovathingal S, Arns T, Grzyb K, Mock A, Herold-Mende C, Steino A, Brown D, May P, Miletic H, Malta TM, Noushmehr H, Kwon YJ, Jahn W, Klink B, Tanner G, Stead LF, Mittelbronn M, Skupin A, Hertel F, Bjerkvig R, Niclou SP. Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology. Acta Neuropathol 2020; 140:919-949. [PMID: 33009951 PMCID: PMC7666297 DOI: 10.1007/s00401-020-02226-7] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/11/2020] [Accepted: 09/12/2020] [Indexed: 11/29/2022]
Abstract
Patient-based cancer models are essential tools for studying tumor biology and for the assessment of drug responses in a translational context. We report the establishment a large cohort of unique organoids and patient-derived orthotopic xenografts (PDOX) of various glioma subtypes, including gliomas with mutations in IDH1, and paired longitudinal PDOX from primary and recurrent tumors of the same patient. We show that glioma PDOXs enable long-term propagation of patient tumors and represent clinically relevant patient avatars that retain histopathological, genetic, epigenetic, and transcriptomic features of parental tumors. We find no evidence of mouse-specific clonal evolution in glioma PDOXs. Our cohort captures individual molecular genotypes for precision medicine including mutations in IDH1, ATRX, TP53, MDM2/4, amplification of EGFR, PDGFRA, MET, CDK4/6, MDM2/4, and deletion of CDKN2A/B, PTCH, and PTEN. Matched longitudinal PDOX recapitulate the limited genetic evolution of gliomas observed in patients following treatment. At the histological level, we observe increased vascularization in the rat host as compared to mice. PDOX-derived standardized glioma organoids are amenable to high-throughput drug screens that can be validated in mice. We show clinically relevant responses to temozolomide (TMZ) and to targeted treatments, such as EGFR and CDK4/6 inhibitors in (epi)genetically defined subgroups, according to MGMT promoter and EGFR/CDK status, respectively. Dianhydrogalactitol (VAL-083), a promising bifunctional alkylating agent in the current clinical trial, displayed high therapeutic efficacy, and was able to overcome TMZ resistance in glioblastoma. Our work underscores the clinical relevance of glioma organoids and PDOX models for translational research and personalized treatment studies and represents a unique publicly available resource for precision oncology.
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Affiliation(s)
- Anna Golebiewska
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Anaïs Oudin
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Daniel Stieber
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
- National Center of Genetics, Laboratoire National de Santé, 3555, Dudelange, Luxembourg
| | - Yahaya A Yabo
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Virginie Baus
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Vanessa Barthelemy
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Eliane Klein
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Sébastien Bougnaud
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Olivier Keunen
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
- Quantitative Biology Unit, Luxembourg Institute of Health, 1445, Strassen, Luxembourg
| | - May Wantz
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Alessandro Michelucci
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
- Neuro-Immunology Group, Department of Oncology, Luxembourg Institute of Health, 1526, Luxembourg, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Virginie Neirinckx
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
| | - Arnaud Muller
- Quantitative Biology Unit, Luxembourg Institute of Health, 1445, Strassen, Luxembourg
| | - Tony Kaoma
- Quantitative Biology Unit, Luxembourg Institute of Health, 1445, Strassen, Luxembourg
| | - Petr V Nazarov
- Quantitative Biology Unit, Luxembourg Institute of Health, 1445, Strassen, Luxembourg
| | - Francisco Azuaje
- Quantitative Biology Unit, Luxembourg Institute of Health, 1445, Strassen, Luxembourg
| | - Alfonso De Falco
- National Center of Genetics, Laboratoire National de Santé, 3555, Dudelange, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 4367, Belvaux, Luxembourg
- Luxembourg Center of Neuropathology, Luxembourg, Luxembourg
| | - Ben Flies
- National Center of Genetics, Laboratoire National de Santé, 3555, Dudelange, Luxembourg
| | - Lorraine Richart
- Faculty of Science, Technology and Medicine, University of Luxembourg, 4367, Belvaux, Luxembourg
- Luxembourg Center of Neuropathology, Luxembourg, Luxembourg
- National Center of Pathology, Laboratoire National de Santé, 3555, Dudelange, Luxembourg
- Department of Oncology, Luxembourg Institute of Health, 1526, Luxembourg, Luxembourg
| | - Suresh Poovathingal
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Thais Arns
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Kamil Grzyb
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Andreas Mock
- Division of Experimental Neurosurgery, Department of Neurosurgery, University of Heidelberg, 69120, Heidelberg, Germany
- Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, 69120, Heidelberg, Germany
- German Cancer Research Center (DKFZ) Heidelberg, 69120, Heidelberg, Germany
- German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
| | - Christel Herold-Mende
- Division of Experimental Neurosurgery, Department of Neurosurgery, University of Heidelberg, 69120, Heidelberg, Germany
| | - Anne Steino
- DelMar Pharmaceuticals, Inc., Vancouver, BC, Canada
- DelMar Pharmaceuticals, Inc., Menlo Park, CA, USA
| | - Dennis Brown
- DelMar Pharmaceuticals, Inc., Vancouver, BC, Canada
- DelMar Pharmaceuticals, Inc., Menlo Park, CA, USA
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Hrvoje Miletic
- Department of Biomedicine, University of Bergen, 5019, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Tathiane M Malta
- Department of Neurosurgery, Henry Ford Health System, Detroit, MI, 48202, USA
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Health System, Detroit, MI, 48202, USA
| | - Yong-Jun Kwon
- Department of Oncology, Luxembourg Institute of Health, 1526, Luxembourg, Luxembourg
| | - Winnie Jahn
- German Cancer Consortium (DKTK), 01307, Dresden, Germany
- Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
| | - Barbara Klink
- National Center of Genetics, Laboratoire National de Santé, 3555, Dudelange, Luxembourg
- Department of Oncology, Luxembourg Institute of Health, 1526, Luxembourg, Luxembourg
- German Cancer Consortium (DKTK), 01307, Dresden, Germany
- Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), 01307, Dresden, Germany
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Georgette Tanner
- Leeds Institute of Medical Research at St James's, St James's University Hospital, Leeds, UK
| | - Lucy F Stead
- Leeds Institute of Medical Research at St James's, St James's University Hospital, Leeds, UK
| | - Michel Mittelbronn
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
- Luxembourg Center of Neuropathology, Luxembourg, Luxembourg
- National Center of Pathology, Laboratoire National de Santé, 3555, Dudelange, Luxembourg
- Department of Oncology, Luxembourg Institute of Health, 1526, Luxembourg, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
| | - Frank Hertel
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 4367, Belvaux, Luxembourg
- Department of Neurosurgery, Centre Hospitalier Luxembourg, 1210, Luxembourg, Luxembourg
| | - Rolf Bjerkvig
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg
- Department of Biomedicine, University of Bergen, 5019, Bergen, Norway
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, 84, Val Fleuri, 1526, Luxembourg, Luxembourg.
- Department of Biomedicine, University of Bergen, 5019, Bergen, Norway.
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Chen W, Lei C, Liu P, Liu Y, Guo X, Kong Z, Wang Y, Dai C, Wang Y, Ma W, Wang Y. Progress and Prospects of Recurrent Glioma: A Recent Scientometric Analysis of the Web of Science in 2019. World Neurosurg 2019; 134:e387-e399. [PMID: 31639500 DOI: 10.1016/j.wneu.2019.10.078] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 10/12/2019] [Accepted: 10/13/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Most patients with glioma experience recurrence and have a poor prognosis. Scientometric analysis is effective and widely used to summarize the most influential studies within a certain field. We present the first scientometric analysis of recurrent glioma. METHODS We conducted a generalized search for articles on recurrent glioma in the Web of Science database and evaluated the top 100 most cited articles among 4651 articles. RESULTS The number of citations from the top 100 cited articles on recurrent glioma ranged from 149 to 1471; most of these articles were published in oncology-specific journals (66) and were submitted by institutions in the United States (n = 67). The top-cited articles consisted of 98 articles and 2 literature reviews. Articles were classified into 4 major categories based on subject matter: 82 pertained to treatment, 6 pertained to genetic mechanisms, 7 pertained to diagnosis, and 5 pertained to prognosis. Treatment-related articles were subdivided into the following 7 categories: targeted therapy (n = 21), chemotherapy (n = 20), immunotherapy (n = 12), combination therapy (n = 12), radiotherapy (n = 9), surgical resection (n = 6), a new therapy (physiotherapy) (n = 1), and treatment summary (n = 1). CONCLUSIONS The results of the analysis indicated that the core problem is the treatment of recurrent glioma. Although the number of citations on targeted therapy and combination therapy has increased in recent years, the proportion of randomized controlled trials, basic medical research, literature reviews, and meta-analyses is relatively low; thus, there is an urgent need to conduct these types of studies on recurrent glioma.
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Affiliation(s)
- Wenlin Chen
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chuxiang Lei
- Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Penghao Liu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yifan Liu
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaopeng Guo
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ziren Kong
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuekun Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Congxin Dai
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yaning Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenbin Ma
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Wang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Zhang J, Cai H, Sun L, Zhan P, Chen M, Zhang F, Ran Y, Wan J. LGR5, a novel functional glioma stem cell marker, promotes EMT by activating the Wnt/β-catenin pathway and predicts poor survival of glioma patients. J Exp Clin Cancer Res 2018; 37:225. [PMID: 30208924 PMCID: PMC6136228 DOI: 10.1186/s13046-018-0864-6] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 08/04/2018] [Indexed: 12/19/2022]
Abstract
Background Tumor recurrence, the chief reason for poor prognosis of glioma, is largely attributed to glioma stem cells (GSCs) and epithelial-mesenchymal transition (EMT). However, the mechanisms among them remain unknown. Here, we determined whether leucine-rich repeat-containing G protein-coupled receptor 5 (LGR5), known as a stem cell marker for colon cancer and gastric cancer, can serve as a novel GSC marker involved in EMT and a therapeutic target in glioma. Methods Stemness properties were examined in FACS-isolated LGR5+/LGR5− cells. Reported stem cell markers, EMT and the Wnt/β-catenin pathway were examined in stable LGR5 knockdown or overexpressed GSCs by Western Blot. The treatment experiment was performed in an intracranial orthotopic xenograft model by knockdown of LGR5 or by using the Wnt/β-catenin pathway inhibitor Wnt-C59. LGR5 expression was determined in 268 glioma specimens by immunohistochemistry. Results LGR5+ cells possessed stronger stemness properties compared to LGR5− cells. The expression of SOX2, Nanog, CD133, CD44, CD24 and EpCAM was modulated by LGR5. Both LGR5 knockdown and Wnt-C59 reduced tumor invasion and migration and blocked EMT by inhibiting the Wnt/β-catenin pathway in vitro and suppressed the intracranial orthotopic xenograft growth and prolonged the survival of xenograft mice in vivo. Moreover, LGR5 was positively correlated with Ki67, N-cadherin and WHO grade and negatively correlated with IDH1. Glioma patients with high expression of LGR5 showed significantly poorer prognosis. Conclusions LGR5 is a new functional GSC marker and prognostic indicator that can promote EMT by activating the Wnt/β-catenin pathway and would thus be a novel therapeutic target for glioma. Electronic supplementary material The online version of this article (10.1186/s13046-018-0864-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jin Zhang
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China
| | - Hongqing Cai
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China
| | - Lixin Sun
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China
| | - Panpan Zhan
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China
| | - Meng Chen
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China
| | - Feng Zhang
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China
| | - Yuliang Ran
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China.
| | - Jinghai Wan
- Department of Neurosurgery, Chinese Academy of Medical Sciences and Peking Union Medical College, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Beijing, 100021, China.
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