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Tong D, Tang Y, Zhong P. The emerging roles of histone demethylases in cancers. Cancer Metastasis Rev 2024; 43:795-821. [PMID: 38227150 DOI: 10.1007/s10555-023-10160-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 12/05/2023] [Indexed: 01/17/2024]
Abstract
Modulation of histone methylation status is regarded as an important mechanism of epigenetic regulation and has substantial clinical potential for the therapy of diseases, including cancer and other disorders. The present study aimed to provide a comprehensive introduction to the enzymology of histone demethylases, as well as their cancerous roles, molecular mechanisms, therapeutic possibilities, and challenges for targeting them, in order to advance drug design for clinical therapy and highlight new insight into the mechanisms of these enzymes in cancer. A series of clinical trials have been performed to explore potential roles of histone demethylases in several cancer types. Numerous targeted inhibitors associated with immunotherapy, chemotherapy, radiotherapy, and targeted therapy have been used to exert anticancer functions. Future studies should evaluate the dynamic transformation of histone demethylases leading to carcinogenesis and explore individual therapy.
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Affiliation(s)
- Dali Tong
- Department of Urological Surgery, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, People's Republic of China.
| | - Ying Tang
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China.
| | - Peng Zhong
- Department of Pathology, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, People's Republic of China.
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Guo T, Zhang X, Chen S, Wang X, Wang X. Targeting lipid biosynthesis on the basis of conventional treatments for clear cell renal cell carcinoma: A promising therapeutic approach. Life Sci 2024; 336:122329. [PMID: 38052321 DOI: 10.1016/j.lfs.2023.122329] [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: 09/28/2023] [Revised: 11/22/2023] [Accepted: 12/01/2023] [Indexed: 12/07/2023]
Abstract
A variety of cancer cells exhibit dysregulated lipid metabolism, characterized by excessive intracellular lipid accumulation, and clear cell renal cell carcinoma (ccRCC) is the most typical disease with these characteristics. As the most common malignancy of all renal cell carcinomas (RCCs), ccRCC is typically characterized by a large accumulation of lipids and glycogen in the cytoplasm and a nucleus that is squeezed by the accumulated lipid droplets and localized to the marginal areas within the cytoplasm. This lipid accumulation has been found to be critically involved in the maintenance of malignant features observed in various cancers. Firstly, it maintains the persistent proliferative and metastasis properties of cancer cells. Secondly, it acts as a buffer against lipid peroxidation, preventing lipid peroxidation-induced ferroptosis. Moreover, lipids can diminish the sensitivity of cancer cells to radiotherapy. As ccRCC is a type of cancer with high lipid synthesis, targeting lipid synthesis-related genes in cancer cells may be a promising therapeutic modality for single treatment or in combination with radiotherapy, chemotherapy, and immunotherapy. This may revolutionize the choice of treatment modality for ccRCC patients. In this review, we concentrate on the current status and progress of research on lipid biosynthesis in ccRCC and the potential applications of targeting lipid synthesis to treat ccRCC. At last, we propose perspective and future research directions for targeting inhibition of lipid biosynthesis in combination with conventional therapeutic approaches for the treatment of ccRCC, which will help to evolve the therapeutic model.
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Affiliation(s)
- Tuanjie Guo
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinchao Zhang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Siteng Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xu Wang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xiang Wang
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Grypari IM, Pappa I, Papastergiou T, Zolota V, Bravou V, Melachrinou M, Megalooikonomou V, Tzelepi V. Elucidating the role of PRMTs in prostate cancer using open access databases and a patient cohort dataset. Histol Histopathol 2023; 38:287-302. [PMID: 36082942 DOI: 10.14670/hh-18-513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Protein arginine methylation is an understudied epigenetic mechanism catalyzed by enzymes known as Protein Methyltransferases of Arginine (PRMTs), while the opposite reaction is performed by Jumonji domain- containing protein 6 (JMJD6). There is increasing evidence that PRMTs are deregulated in prostate cancer (PCa). In this study, the expression of two PRMT members, PRMT2 and PRMT7 as well as JMJD6, a demethylase, was analyzed in PCa. Initially, we retrieved data from The Cancer Genome Atlas (TCGA) project and the Gene Expression Omnibus (GEO) database to explore the differential expression of various PRMT family members in patients with PCa and then applied immunohistochemistry in a patient cohort across the spectrum of PCa, including non-neoplastic prostate tissue and lymph node metastatic foci. The results from the TCGA analysis revealed that PRMT7, PRMT6 and PRMT3 expression increased while PRMT2, PRMT9 and JMJD6 levels decreased in the tumor compared to non-neoplastic prostate. Results from the GEO datasets were similar, albeit not identical with the TCGA results, with PRMT7 and PRMT3 being upregulated and PRMT2 and JMJD6 being downregulated in the tumor compared to non-neoplastic tissue in some of them. In addition, PRMT7 levels decreased with stage and grade progression in the TCGA analysis. In the patient cohort, both PRMTs and JMJD6 were overexpressed in PCa compared to non-neoplastic tissue, and nuclear PRMT2 and JMJD6 were upregulated in lymph node metastasis, too. PRMT7 and JMJD6 expression were upregulated with the progression of stage and JMJD6 was also increased with the elevation of grade. After androgen ablation therapy, nuclear expression of PRMT7 and JMJD6 were elevated compared to untreated tumors. PRMT2, PRMT7 and JMD6 were also correlated with markers of EMT and cell cycle regulators. Finally, our findings indicate that PRMTs and JMJD6 are involved in prostate cancer progression and revealed a potential interplay of PRMTs with EMT mediators, underscoring the need for therapeutic targeting of arginine methylation in prostate cancer.
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Affiliation(s)
- Ioanna Maria Grypari
- Department of Pathology, School of Medicine, University of Patras, Patras, Greece
| | - Ioanna Pappa
- Multidimensional Data Analysis and Knowledge Management Laboratory, Computer Engineering and Informatics Department, School of Engineering, University of Patras, Patras, Greece
| | - Thomas Papastergiou
- Multidimensional Data Analysis and Knowledge Management Laboratory, Computer Engineering and Informatics Department, School of Engineering, University of Patras, Patras, Greece
| | - Vasiliki Zolota
- Department of Pathology, School of Medicine, University of Patras, Patras, Greece
| | - Vasiliki Bravou
- Department of Anatomy, Histology and Embryology, School of Medicine, University of Patras, Patras, Greece
| | - Maria Melachrinou
- Department of Pathology, School of Medicine, University of Patras, Patras, Greece
| | - Vasileios Megalooikonomou
- Multidimensional Data Analysis and Knowledge Management Laboratory, Computer Engineering and Informatics Department, School of Engineering, University of Patras, Patras, Greece
| | - Vasiliki Tzelepi
- Department of Pathology, School of Medicine, University of Patras, Patras, Greece.
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Targeting the JMJD6/TGF-β Axis in Prostate Cancer by Immunotherapy: A Potential Treatment Based on RNA Splicing. Med Hypotheses 2023. [DOI: 10.1016/j.mehy.2023.111018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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5
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Huang YRJ, Chiu SC, Tseng JS, Chen JMM, Wei TYW, Chu CY, Kao HTE, Yang CYO, Shih YCE, Yang TY, Chiu KY, Teng CLJ, Yu CTR. The JMJD6/HURP axis promotes cell migration via NF-κB-dependent centrosome repositioning and Cdc42-mediated Golgi repositioning. J Cell Physiol 2022; 237:4517-4530. [PMID: 36250981 DOI: 10.1002/jcp.30900] [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: 09/26/2021] [Revised: 09/19/2022] [Accepted: 10/03/2022] [Indexed: 11/05/2022]
Abstract
Golgi apparatus (GA) and centrosome reposition toward cell leading end during directional cell migration in a coupling way, thereby determining cell polarity by transporting essential factors to the proximal plasma membrane. The study provides mechanistic insights into how GA repositioning (GR) is regulated, and how GR and centrosome repositioning (CR) are coupled. Our previous published works reveals that PRMT5 methylates HURP at R122 and the HURP m122 inhibits GR and cell migration by stabilizing GA-associated acetyl-tubulin and then rigidifying GA. The current study further shows that the demethylase JMJD6-guided demethylation of HURP at R122 promotes GR and cell migration. The HURP methylation mimicking mutant 122 F blocks JMJD6-induced GR and cell migration, suggesting JMJD6 relays GR stimulating signal to HURP. Mechanistic studies reveal that the HURP methylation deficiency mutant 122 K promotes GR through NF-κB-induced CR and subsequently CR-dependent Cdc42 upregulation, where Cdc42 couples CR to GR. Taken together, HURP methylation statuses provide a unique opportunity to understand how GR is regulated, and the GA intrinsic mechanism controlling Golgi rigidity and the GA extrinsic mechanism involving NF-κB-CR-Cdc42 cascade collectively dictate GR.
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Affiliation(s)
| | - Shao-Chih Chiu
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan.,Department of Medical Research, Translational Cell Therapy Center, China Medical University Hospital, Taichung, Taiwan
| | - Jeng-Sen Tseng
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.,Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan
| | - Jo-Mei Maureen Chen
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan.,Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
| | - Tong-You Wade Wei
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan.,Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan.,Department of Medicine, Postdoctoral Scholar, University of California, San Diego, California, USA
| | - Chen-Yu Chu
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
| | - Hsu-Ting Eric Kao
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
| | | | - Yong-Chun Erin Shih
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
| | - Tsung-Ying Yang
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan
| | - Kun-Yuan Chiu
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan.,Department of Surgery, Division of Urology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chieh-Lin Jerry Teng
- Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan.,Department of Medicine, Division of Hematology/Medical Oncology, Taichung Veterans General Hospital, Taichung, Taiwan.,School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Chang-Tze Ricky Yu
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
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Wang K, Yang C, Li H, Liu X, Zheng M, Xuan Z, Mei Z, Wang H. Role of the Epigenetic Modifier JMJD6 in Tumor Development and Regulation of Immune Response. Front Immunol 2022; 13:859893. [PMID: 35359945 PMCID: PMC8963961 DOI: 10.3389/fimmu.2022.859893] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
JMJD6 is a member of the Jumonji (JMJC) domain family of histone demethylases that contributes to catalyzing the demethylation of H3R2me2 and/or H4R3me2 and regulating the expression of specific genes. JMJD6-mediated demethylation modifications are involved in the regulation of transcription, chromatin structure, epigenetics, and genome integrity. The abnormal expression of JMJD6 is associated with the occurrence and development of a variety of tumors, including breast carcinoma, lung carcinoma, colon carcinoma, glioma, prostate carcinoma, melanoma, liver carcinoma, etc. Besides, JMJD6 regulates the innate immune response and affects many biological functions, as well as may play key roles in the regulation of immune response in tumors. Given the importance of epigenetic function in tumors, targeting JMJD6 gene by modulating the role of immune components in tumorigenesis and its development will contribute to the development of a promising strategy for cancer therapy. In this article, we introduce the structure and biological activities of JMJD6, followed by summarizing its roles in tumorigenesis and tumor development. Importantly, we highlight the potential functions of JMJD6 in the regulation of tumor immune response, as well as the development of JMJD6 targeted small-molecule inhibitors for cancer therapy.
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Affiliation(s)
- Kai Wang
- Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
| | - Chao Yang
- National Engineering Research Center for Marine Aquaculture, Institute of Innovation and Application, Zhejiang Ocean University, Zhoushan, China
| | - Haibin Li
- Department of Pharmacy, 908th Hospital of Chinese PLA Joint Logistic Support Force, Yingtan, China
| | - Xiaoyan Liu
- Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
| | - Meiling Zheng
- Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
| | - Zixue Xuan
- Clinical Pharmacy Center, Department of Pharmacy, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
- *Correspondence: Zixue Xuan, ; Zhiqiang Mei, ; Haiyong Wang,
| | - Zhiqiang Mei
- Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, China
- *Correspondence: Zixue Xuan, ; Zhiqiang Mei, ; Haiyong Wang,
| | - Haiyong Wang
- Department of Internal Medicine Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Zixue Xuan, ; Zhiqiang Mei, ; Haiyong Wang,
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High Expression of JMJD4 Is a Potential Diagnostic and Prognostic Marker of Renal Cell Carcinoma. DISEASE MARKERS 2022; 2021:9573540. [PMID: 34980950 PMCID: PMC8720244 DOI: 10.1155/2021/9573540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/18/2021] [Indexed: 12/02/2022]
Abstract
Histone demethylase JMJD4 is a burgeoning tumor marker, which has been proven to be associated with colon cancer, but the role it plays in kidney cancer has not yet been investigated. In the present study, we evaluated whether JMJD4 can be a prognostic marker of patients with clear cell renal cell carcinoma (ccRCC) using data from public platform and in vitro experiments. Our results revealed that the expression of JMJD4 is higher in cancerous tissue than in normal tissues (p < 0.001). High expression of JMJD4 is associated with a poor overall survival (OS) of ccRCC as compared with low expression of JMJD4 (p = 0.015). JMJD4 showed significant relevance with M stage (p = 0.016), gender (p = 0.003), OS (0.018), disease-specific survival (DSS) (0.007), and percussion free interval (PFI) (0.041). Univariate and multivariate Cox analyses demonstrated that high JMJD4 expression had independent predictive value for OS in ccRCC patients (hazard ratio (HR) = 1.563, 95%confidence interval (CI) = 1.055‐2.316, and p = 0.026). Besides, in vitro experiments confirmed that high expression of JMJD4 can significantly promote the invasion ability (p < 0.001), cloning ability (p < 0.001), and proliferation (p < 0.001) of renal cell carcinoma. In summary, high JMJD4 expression may be a prognostic marker in patients with kidney cancer.
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Tong D. Correction to: The role of JMJD6/U2AF65/AR-V7 axis in castration-resistant prostate cancer progression. Cancer Cell Int 2021; 21:301. [PMID: 34107962 PMCID: PMC8191044 DOI: 10.1186/s12935-021-02010-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- Dali Tong
- Department of Urology, Daping Hospital1, Army Medical University, Chongqing, People's Republic of China.
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Wang TH, Lee CY, Lee TY, Huang HD, Hsu JBK, Chang TH. Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion. Cancers (Basel) 2021; 13:cancers13112528. [PMID: 34064004 PMCID: PMC8196729 DOI: 10.3390/cancers13112528] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 05/18/2021] [Accepted: 05/18/2021] [Indexed: 12/24/2022] Open
Abstract
Simple Summary Around 30% of men treated with adjuvant therapy experience recurrences of prostate cancer (PC). Current monitoring of the relapse of PC requires regular postoperative prostate-specific antigen (PSA) value follow-up. Our study aims to identify potential multiomics biomarkers using modern computational analytic methods, deep learning (DL), similarity network fusion (SNF), and the Cancer Genome Atlas (TCGA) prostate adenocarcinoma (PRAD) dataset. Six significantly intersected omics biomarkers from the two models, TELO2, ZMYND19, miR-143, miR-378a, cg00687383 (MED4), and cg02318866 (JMJD6; METTL23) were collected for multiomics panel construction. The difference between the Kaplan–Meier curves of high and low recurrence-risk groups generated from the multiomics panels and clinical information achieve p-value = 2.97 × 10−15 and C-index = 0.713, and the prediction performance of five-year recurrence achieves AUC = 0.789. The results show that the multiomics panel provided valuable biomarkers for the early detection of high-risk recurrent patients, and integrating multiomics data gave us the power to detect the complex mechanisms of cancer among the interactions of different genetic and epigenetic factors. Abstract This study is to identify potential multiomics biomarkers for the early detection of the prognostic recurrence of PC patients. A total of 494 prostate adenocarcinoma (PRAD) patients (60-recurrent included) from the Cancer Genome Atlas (TCGA) portal were analyzed using the autoencoder model and similarity network fusion. Then, multiomics panels were constructed according to the intersected omics biomarkers identified from the two models. Six intersected omics biomarkers, TELO2, ZMYND19, miR-143, miR-378a, cg00687383 (MED4), and cg02318866 (JMJD6; METTL23), were collected for multiomics panel construction. The difference between the Kaplan–Meier curves of high and low recurrence-risk groups generated from the multiomics panel achieved p-value = 5.33 × 10−9, which is better than the former study (p-value = 5 × 10−7). Additionally, when evaluating the selected multiomics biomarkers with clinical information (Gleason score, age, and cancer stage), a high-performance prediction model was generated with C-index = 0.713, p-value = 2.97 × 10−15, and AUC = 0.789. The risk score generated from the selected multiomics biomarkers worked as an effective indicator for the prediction of PRAD recurrence. This study helps us to understand the etiology and pathways of PRAD and further benefits both patients and physicians with potential prognostic biomarkers when making clinical decisions after surgical treatment.
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Affiliation(s)
- Tzu-Hao Wang
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan; (T.-H.W.); (C.-Y.L.)
- School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan
| | - Cheng-Yang Lee
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan; (T.-H.W.); (C.-Y.L.)
- Office of Information Technology, Taipei Medical University, Taipei 110, Taiwan
| | - Tzong-Yi Lee
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China; (T.-Y.L.); (H.-D.H.)
- School of Life and Health Science, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Hsien-Da Huang
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen 518172, China; (T.-Y.L.); (H.-D.H.)
- School of Life and Health Science, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Justin Bo-Kai Hsu
- Department of Medical Research, Taipei Medical University Hospital, Taipei 110, Taiwan
- Translational Imaging Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan
- Correspondence: (J.B.-K.H.); (T.-H.C.)
| | - Tzu-Hao Chang
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan; (T.-H.W.); (C.-Y.L.)
- Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan
- Correspondence: (J.B.-K.H.); (T.-H.C.)
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