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Liu Y, Wei C, Wang S, Ding S, Li Y, Li Y, Zhang D, Zhu G, Meng Z. Role of prognostic gene DKK1 in oral squamous cell carcinoma. Oncol Lett 2024; 27:52. [PMID: 38268623 PMCID: PMC10806357 DOI: 10.3892/ol.2023.14184] [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: 12/13/2022] [Accepted: 10/25/2023] [Indexed: 01/26/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC) is one of the most common squamous cell carcinomas of the head and neck. The morbidity and mortality rates of OSCC have increased in recent years. However, the pathogenesis of this disease remains unknown. The present study aimed to identify predictive biomarkers and therapeutic targets for OSCC. Bioinformatics screening of differentially expressed genes in OSCC was performed based on data from The Cancer Genome Atlas and Gene Expression Omnibus databases. Dickkopf Wnt signaling pathway inhibitor 1 (DKK1) was identified to be associated with survival, tumor immunity and DNA repair in OSCC. Furthermore, the effects of DKK1 were evaluated by the knockdown of DKK1 in two OSCC cell lines. The proliferation, clonogenicity, migration and invasion of the cells were assessed in vitro using Cell Counting Kit-8, colony formation, wound healing and Transwell assays, respectively, and were found to be inhibited by DKK1 knockdown. The present study suggests that DKK1 may be used in the prognosis of patients with OSCC and that targeting DKK1 is a potential strategy for OSCC therapy.
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Affiliation(s)
- Yujiao Liu
- Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Shandong University and Shandong Provincial Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong 250000, P.R. China
- Department of Stomatology & Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng University, Liaocheng, Shandong 252000, P.R. China
| | - Congcong Wei
- Department of Stomatology & Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng University, Liaocheng, Shandong 252000, P.R. China
| | - Song Wang
- Department of Stomatology & Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng University, Liaocheng, Shandong 252000, P.R. China
| | - Shuxin Ding
- School of Stomatology, Weifang Medical University, Weifang, Shandong 261000, P.R. China
| | - Yanan Li
- Biomedical Laboratory, Medical School of Liaocheng University, Liaocheng, Shandong 252000, P.R. China
| | - Yongguo Li
- Department of Stomatology & Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng University, Liaocheng, Shandong 252000, P.R. China
| | - Dongping Zhang
- Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Shandong University and Shandong Provincial Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong 250000, P.R. China
- Department of Stomatology & Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng University, Liaocheng, Shandong 252000, P.R. China
| | - Guoxiong Zhu
- Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Shandong University and Shandong Provincial Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Jinan, Shandong 250000, P.R. China
- Department of Stomatology, PLA 960th Hospital, Jinan, Shandong 250000, P.R. China
| | - Zhen Meng
- Department of Stomatology & Precision Biomedical Laboratory, Liaocheng People's Hospital, Liaocheng University, Liaocheng, Shandong 252000, P.R. China
- Biomedical Laboratory, Medical School of Liaocheng University, Liaocheng, Shandong 252000, P.R. China
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Ding P, Liu P, Meng L, Zhao Q. Mechanisms and biomarkers of immune-related adverse events in gastric cancer. Eur J Med Res 2023; 28:492. [PMID: 37936161 PMCID: PMC10631148 DOI: 10.1186/s40001-023-01365-3] [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: 01/10/2023] [Accepted: 09/12/2023] [Indexed: 11/09/2023] Open
Abstract
Immune-checkpoint inhibitors (ICIs), different from traditional cancer treatment models, have shown unprecedented anti-tumor effects in the past decade, greatly improving the prognosis of many malignant tumors in clinical practice. At present, the most widely used ICIs in clinical immunotherapy for a variety of solid tumors are monoclonal antibodies against cytotoxic T lymphocyte antigen-4 (CTLA-4), programmed cell death protein 1 (PD-1) and their ligand PD-L1. However, tumor patients may induce immune-related adverse events (irAEs) while performing immunotherapy, and irAE is an obstacle to the prospect of ICI treatment. IrAE is a non-specific disease caused by immune system imbalance, which can occur in many tissues and organs. For example, skin, gastrointestinal tract, endocrine system and lung. Although the exact mechanism is not completely clear, related studies have shown that irAE may develop through many ways. Such as excessive activation of autoreactive T cells, excessive release of inflammatory cytokines, elevated levels of autoantibodies, and common antigens between tumors and normal tissues. Considering that the occurrence of severe IrAE not only causes irreversible damage to the patient's body, but also terminates immunotherapy due to immune intolerance. Therefore, accurate identification and screening of sensitive markers of irAE are the main beneficiaries of ICI treatment. Additionally, irAEs usually require specific management, the most common of which are steroids and immunomodulatory therapies. This review aims to summarize the current biomarkers for predicting irAE in gastric cancer and their possible mechanisms.
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Affiliation(s)
- Ping'an Ding
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Pengpeng Liu
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Lingjiao Meng
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
- Research Center of the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China.
| | - Qun Zhao
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
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Hu YD, Wu K, Liu YJ, Zhang Q, Shen H, Ji J, Fang D, Xi SY. LY6/PLAUR domain containing 3 (LYPD3) maintains melanoma cell stemness and mediates an immunosuppressive microenvironment. Biol Direct 2023; 18:72. [PMID: 37924160 PMCID: PMC10623712 DOI: 10.1186/s13062-023-00424-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/10/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Malignant melanoma is a highly heterogeneous skin cancer with the highest mortality rate among dermatological cancers. Catenins form functional networks in the nucleus to regulate gene expression and determine cell fate. Dysregulation of catenin expression correlates with the malignant characteristics of the tumor. We aimed to investigate the regulatory mechanisms of catenins in melanoma and to further define the function of catenin-related molecular signaling in the tumor microenvironment. METHODS In this study, a bioinformatics approach combined with experimental validation was used to explore the potential tumor biology mechanisms of catenin-related signaling. RESULTS Melanoma patients can be divided into two catenin clusters. Patients defined by high Junction Plakoglobin (JUP), Plakophilin 1 (PKP1), Plakophilin 3 (PKP3) levels (C2) had shorter survival time than other patients (C1). We demonstrated that JUP regulates Anterior Gradient 2 (AGR2)/LY6/PLAUR Domain Containing 3 (LYPD3) to maintain melanoma stemness and promotes glycolysis. We also found that LYPD3 was co-expressed with S100A9 and associated with immunosuppressive tumor microenvironment (TME). CONCLUSION The JUP/AGR2/LYPD3 signaling axis plays an important role in the malignant features of melanoma. Targeting the JUP/AGR2/LYPD3 signaling axis can help develop promising drugs.
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Affiliation(s)
- Yi-Dou Hu
- Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, 215600, Jiangsu, People's Republic of China
| | - Ke Wu
- The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, People's Republic of China
| | - Yuan-Jie Liu
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, People's Republic of China
- Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Qian Zhang
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, People's Republic of China
- Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Hui Shen
- Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, 215600, Jiangsu, People's Republic of China
| | - Jin Ji
- Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, People's Republic of China
| | - Dong Fang
- Zhenjiang Hospital of Chinese Traditional and Western Medicine, Zhenjiang, Jiangsu, 212000, People's Republic of China.
| | - Song-Yang Xi
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, People's Republic of China.
- Zhenjiang Hospital of Chinese Traditional and Western Medicine, Zhenjiang, Jiangsu, 212000, People's Republic of China.
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Xie L, Fang Y, Chen J, Meng W, Guan Y, Gong W. TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression. PeerJ 2023; 11:e16316. [PMID: 37927783 PMCID: PMC10621595 DOI: 10.7717/peerj.16316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023] Open
Abstract
Background Renal cell carcinoma (RCC) originates from renal tubular epithelial cells and is mainly classified into three histological types, including clear cell renal cell carcinoma (ccRCC) which accounts for about 75% of all kidney cancers and is characterized by its strong invasiveness and poor prognosis. Hence, it is imperative to understand the mechanisms underlying the occurrence and progression of ccRCC to identify effective biomarkers for the early diagnosis and the prognosis prediction. Methods The mRNA level of TTC13 was quantified by RT-PCR, while the protein level was determined by western blot and immunohistochemistry (IHC) staining. Cell proliferation was measured by cck-8, and cell apoptosis was detected by flow cytometry. The binding of STAT3 to the promoter region of TTC13 was determined by the luciferase reporter assay and chip experiments. STAT3 nuclear translocation was assessed by immunofluorescence staining. Results We found that TTC13 was up-regulated in ccRCC, and TTC13 promoted cell proliferation as well as inhibited cell apoptosis and autophagy of ccRCC through wnt/β-catenin and IL6-JAK-STAT3 signaling pathways. Furthermore, TTC13 might play a role in the immune infiltration and immunotherapy of ccRCC. Mechanistically, STAT3 activated the transcription of TTC13 gene. Conclusions STAT3 directly regulated TTC13 expression through a positive feedback loop mechanism to promote ccRCC cell proliferation as well as reduce cell apoptosis and autophagy. These findings suggested new and effective therapeutic targets for more accurate and personalized treatment strategies.
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Affiliation(s)
- Lingling Xie
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Yu Fang
- Department of Urology, The First Affiliated Hospital of Naval Medical University (Shanghai Changhai Hospital), Shanghai, China
| | - Jianping Chen
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Wei Meng
- Department of Urology, Affiliated Hospital of Nantong University, Nantong, China
| | - Yangbo Guan
- Department of Urology, Affiliated Hospital of Nantong University, Nantong, China
| | - Wenliang Gong
- Department of Urology, The First Affiliated Hospital of Naval Medical University (Shanghai Changhai Hospital), Shanghai, China
- Department of Urology, The Third Affiliated Hospital of Naval Medical University (Shanghai Eastern Hepatobiliary Surgery Hospital), Shanghai, China
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Smieja J. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review. Int J Mol Sci 2023; 24:14516. [PMID: 37833963 PMCID: PMC10572824 DOI: 10.3390/ijms241914516] [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: 07/03/2023] [Revised: 09/01/2023] [Accepted: 09/12/2023] [Indexed: 10/15/2023] Open
Abstract
The paper presents a review of models that can be used to describe dynamics of lung cancer growth and its response to treatment at both cell population and intracellular processes levels. To address the latter, models of signaling pathways associated with cellular responses to treatment are overviewed. First, treatment options for lung cancer are discussed, and main signaling pathways and regulatory networks are briefly reviewed. Then, approaches used to model specific therapies are discussed. Following that, models of intracellular processes that are crucial in responses to therapies are presented. The paper is concluded with a discussion of the applicability of the presented approaches in the context of lung cancer.
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Affiliation(s)
- Jaroslaw Smieja
- Department of Systems Biology and Engineering, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland
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Li J, Yang C, Zheng Y. A novel disulfidptosis and glycolysis related risk score signature for prediction of prognosis and ICI therapeutic responsiveness in colorectal cancer. Sci Rep 2023; 13:13344. [PMID: 37587262 PMCID: PMC10432503 DOI: 10.1038/s41598-023-40381-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/09/2023] [Indexed: 08/18/2023] Open
Abstract
Disulfidptosis is a newly-identified non-programmed cell death mode with tight associations with glucose metabolism. Elevated glycolysis is an important metabolic feature of tumor cells, which fulfills the energy requirement for their rapid growth and progression. Our present study determined to develop a disulfidptosis and glycolysis related gene (DGRG) risk score signature to predict the prognosis and ICI therapeutic responsiveness for CRC patients. First, the gene expression and clinical profiles for CRC patients were obtained from TCGA and GEO database. Using weighted gene co-expression network analysis, we identified hub genes showing the strongest correlations with both disulfidptosis and glycolysis activities. Next, a DGRG risk score signature was successfully developed through univariate and least absolute shrinkage and selection operator method Cox regression method. A DGRG risk score-based nomogram could further enhance the predictive performance. In addition, an array of systemic analysis was performed to unravel the correlation of DGRG risk score with tumor microenvironment. The results showed that CRC patients with low DGRG risk level had up-regulated immune cell infiltrations, enhanced metabolic activities and heightened gene mutation frequencies, while high risk patients was the opposite. Moreover, our present study identified low risk CRC patients as potential beneficiaries from immune checkpoint inhibitor (ICI) therapies. Our present work highlighted the potential utility of DGRG risk score signature in prognosis prediction and ICI responsiveness determination for CRC patients, which demonstrated promising clinical application value.
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Affiliation(s)
- Jiazheng Li
- Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Chao Yang
- Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yongbin Zheng
- Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
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Otegui N, Houry M, Arozarena I, Serrano D, Redin E, Exposito F, Leon S, Valencia K, Montuenga L, Calvo A. Cancer Cell-Intrinsic Alterations Associated with an Immunosuppressive Tumor Microenvironment and Resistance to Immunotherapy in Lung Cancer. Cancers (Basel) 2023; 15:3076. [PMID: 37370686 PMCID: PMC10295869 DOI: 10.3390/cancers15123076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/24/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Despite the great clinical success of immunotherapy in lung cancer patients, only a small percentage of them (<40%) will benefit from this therapy alone or combined with other strategies. Cancer cell-intrinsic and cell-extrinsic mechanisms have been associated with a lack of response to immunotherapy. The present study is focused on cancer cell-intrinsic genetic, epigenetic, transcriptomic and metabolic alterations that reshape the tumor microenvironment (TME) and determine response or refractoriness to immune checkpoint inhibitors (ICIs). Mutations in KRAS, SKT11(LKB1), KEAP1 and TP53 and co-mutations of these genes are the main determinants of ICI response in non-small-cell lung cancer (NSCLC) patients. Recent insights into metabolic changes in cancer cells that impose restrictions on cytotoxic T cells and the efficacy of ICIs indicate that targeting such metabolic restrictions may favor therapeutic responses. Other emerging pathways for therapeutic interventions include epigenetic modulators and DNA damage repair (DDR) pathways, especially in small-cell lung cancer (SCLC). Therefore, the many potential pathways for enhancing the effect of ICIs suggest that, in a few years, we will have much more personalized medicine for lung cancer patients treated with immunotherapy. Such strategies could include vaccines and chimeric antigen receptor (CAR) cells.
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Affiliation(s)
- Nerea Otegui
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, 31008 Pamplona, Spain
| | - Maeva Houry
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, 31008 Pamplona, Spain
| | - Imanol Arozarena
- Instituto de Investigación Sanitaria de Navarra (IDISNA), 31008 Pamplona, Spain;
- Cancer Signaling Unit, Navarrabiomed, University Hospital of Navarra (HUN), Public University of Navarra (UPNA), 31008 Pamplona, Spain
| | - Diego Serrano
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, 31008 Pamplona, Spain
| | - Esther Redin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Francisco Exposito
- Yale Cancer Center, New Haven, CT 06519, USA;
- Department of Pathology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Sergio Leon
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, 31008 Pamplona, Spain
| | - Karmele Valencia
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), ISCIII, 28029 Madrid, Spain
| | - Luis Montuenga
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IDISNA), 31008 Pamplona, Spain;
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), ISCIII, 28029 Madrid, Spain
| | - Alfonso Calvo
- CCUN Cancer Center and Program in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, 31008 Pamplona, Spain; (N.O.); (M.H.); (D.S.); (S.L.); (K.V.); (L.M.)
- Department of Pathology, Anatomy and Physiology, School of Medicine, University of Navarra, 31008 Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IDISNA), 31008 Pamplona, Spain;
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), ISCIII, 28029 Madrid, Spain
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