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Ni J, Li B, Miao S, Zhang X, Yan D, Jing S, Lu S, Xie Z, Zhang X, Liu Y. MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine. Brief Bioinform 2025; 26:bbaf131. [PMID: 40131311 PMCID: PMC11934576 DOI: 10.1093/bib/bbaf131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Revised: 02/27/2025] [Accepted: 03/05/2025] [Indexed: 03/26/2025] Open
Abstract
DNA methylation plays a crucial role in human diseases pathogenesis. Substantial experimental evidence from clinical and biological studies has confirmed numerous methylation-disease associations, which provide valuable prior knowledge for advancing precision medicine through biomarker discovery and disease subtyping. To systematically mine reliable methylation prior knowledge from known DNA methylation-disease associations and develop robust computational methods for precision medicine applications, we propose MethPriorGCN. By integrating layer attention mechanisms and feature weighting mechanisms, MethPriorGCN not only identified reliable methylation digital biomarkers but also achieved superior disease subtype classification accuracy.
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Affiliation(s)
- Jie Ni
- Institute for Molecular Medical Technology, State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, No. 2, Southeast University Road, Jiangning District, Nanjing, Jiangsu 211102, China
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, No. 101, Longmian Avenue, Jiangning District, Nanjing, Jiangsu 211166, China
- Institute of Biomedical Devices (Suzhou), Southeast University, No. 8, Jinfeng Road, Suzhou New District, Suzhou, Jiangsu 215163, China
| | - Bin Li
- Institute for Molecular Medical Technology, State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, No. 2, Southeast University Road, Jiangning District, Nanjing, Jiangsu 211102, China
- Institute of Biomedical Devices (Suzhou), Southeast University, No. 8, Jinfeng Road, Suzhou New District, Suzhou, Jiangsu 215163, China
| | - Shumei Miao
- Department of Information, The First Affiliated Hospital, Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Xinting Zhang
- Institute for Molecular Medical Technology, State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, No. 2, Southeast University Road, Jiangning District, Nanjing, Jiangsu 211102, China
- Institute of Biomedical Devices (Suzhou), Southeast University, No. 8, Jinfeng Road, Suzhou New District, Suzhou, Jiangsu 215163, China
| | - Donghui Yan
- Institute for Molecular Medical Technology, State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, No. 2, Southeast University Road, Jiangning District, Nanjing, Jiangsu 211102, China
- Institute of Biomedical Devices (Suzhou), Southeast University, No. 8, Jinfeng Road, Suzhou New District, Suzhou, Jiangsu 215163, China
| | - Shengqi Jing
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, No. 101, Longmian Avenue, Jiangning District, Nanjing, Jiangsu 211166, China
- Department of Information, The First Affiliated Hospital, Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
- Center for Data Management, The First Affiliated Hospital, Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Shan Lu
- Women and Children Department, The First Affiliated Hospital, Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Zhuoying Xie
- Institute for Molecular Medical Technology, State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, No. 2, Southeast University Road, Jiangning District, Nanjing, Jiangsu 211102, China
- Institute of Biomedical Devices (Suzhou), Southeast University, No. 8, Jinfeng Road, Suzhou New District, Suzhou, Jiangsu 215163, China
| | - Xin Zhang
- Department of Information, The First Affiliated Hospital, Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Yun Liu
- Department of Information, The First Affiliated Hospital, Nanjing Medical University, No. 300, Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
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Sun Z, Li X, Li G, Xu Y, Meng J, Meng W, He S. Potential application value of pigment epithelium-derived factor in sensorineural hearing loss. Front Neurosci 2023; 17:1302124. [PMID: 38164244 PMCID: PMC10757943 DOI: 10.3389/fnins.2023.1302124] [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: 09/26/2023] [Accepted: 11/17/2023] [Indexed: 01/03/2024] Open
Abstract
The inner ear is a complex and precise auditory perception system responsible for receiving and converting sound signals into neural signals, enabling us to perceive and understand sound. However, the occurrence and development of inner ear diseases and auditory disorders, such as sensorineural hearing loss, remain a global problem. In recent years, there has been increasing research on the treatment of inner ear diseases and auditory regeneration. Among these treatments, pigment epithelium-derived factor (PEDF), as a multifunctional secretory protein, exhibits diverse biological activities and functions through various mechanisms, and has shown potential applications in the inner ear. This minireview comprehensively evaluates the performance of PEDF in sensorineural hearing loss in inner ear and its potential targets and therapeutic prospects.
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Affiliation(s)
- Zihui Sun
- Department of Otolaryngology Head and Neck Surgery, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
- Nanjing Tongren ENT Hospital, Nanjing, China
| | - Xiaoguang Li
- Department of Otolaryngology Head and Neck Surgery, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
- Nanjing Tongren ENT Hospital, Nanjing, China
| | - Guangfei Li
- Department of Otolaryngology Head and Neck Surgery, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
- Nanjing Tongren ENT Hospital, Nanjing, China
| | - Ying Xu
- Department of Stomatology, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Jie Meng
- Department of Otolaryngology Head and Neck Surgery, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
- Nanjing Tongren ENT Hospital, Nanjing, China
| | - Wei Meng
- Department of Otolaryngology Head and Neck Surgery, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
- Nanjing Tongren ENT Hospital, Nanjing, China
| | - Shuangba He
- Department of Otolaryngology Head and Neck Surgery, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
- Nanjing Tongren ENT Hospital, Nanjing, China
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Dunphy K, Bazou D, Henry M, Meleady P, Miettinen JJ, Heckman CA, Dowling P, O’Gorman P. Proteomic and Metabolomic Analysis of Bone Marrow and Plasma from Patients with Extramedullary Multiple Myeloma Identifies Distinct Protein and Metabolite Signatures. Cancers (Basel) 2023; 15:3764. [PMID: 37568580 PMCID: PMC10417544 DOI: 10.3390/cancers15153764] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 07/19/2023] [Accepted: 07/19/2023] [Indexed: 08/13/2023] Open
Abstract
Multiple myeloma (MM) is an incurable haematological malignancy of plasma cells in the bone marrow. In rare cases, an aggressive form of MM called extramedullary multiple myeloma (EMM) develops, where myeloma cells enter the bloodstream and colonise distal organs or soft tissues. This variant is associated with refractoriness to conventional therapies and a short overall survival. The molecular mechanisms associated with EMM are not yet fully understood. Here, we analysed the proteome of bone marrow mononuclear cells and blood plasma from eight patients (one serial sample) with EMM and eight patients without extramedullary spread. The patients with EMM had a significantly reduced overall survival with a median survival of 19 months. Label-free mass spectrometry revealed 225 proteins with a significant differential abundance between bone marrow mononuclear cells (BMNCs) isolated from patients with MM and EMM. This plasma proteomics analysis identified 22 proteins with a significant differential abundance. Three proteins, namely vascular cell adhesion molecule 1 (VCAM1), pigment epithelium derived factor (PEDF), and hepatocyte growth factor activator (HGFA), were verified as the promising markers of EMM, with the combined protein panel showing excellent accuracy in distinguishing EMM patients from MM patients. Metabolomic analysis revealed a distinct metabolite signature in EMM patient plasma compared to MM patient plasma. The results provide much needed insight into the phenotypic profile of EMM and in identifying promising plasma-derived markers of EMM that may inform novel drug development strategies.
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Affiliation(s)
- Katie Dunphy
- Department of Biology, Maynooth University, W23 F2K8 Kildare, Ireland;
| | - Despina Bazou
- Department of Haematology, Mater Misericordiae University Hospital, D07 AX57 Dublin, Ireland; (D.B.); (P.O.)
| | - Michael Henry
- National Institute for Cellular Biotechnology, Dublin City University, D09 NR58 Dublin, Ireland; (M.H.); (P.M.)
| | - Paula Meleady
- National Institute for Cellular Biotechnology, Dublin City University, D09 NR58 Dublin, Ireland; (M.H.); (P.M.)
| | - Juho J. Miettinen
- Institute for Molecular Medicine Finland-FIMM, HiLIFE–Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, 00290 Helsinki, Finland; (J.J.M.); (C.A.H.)
| | - Caroline A. Heckman
- Institute for Molecular Medicine Finland-FIMM, HiLIFE–Helsinki Institute of Life Science, iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, 00290 Helsinki, Finland; (J.J.M.); (C.A.H.)
| | - Paul Dowling
- Department of Biology, Maynooth University, W23 F2K8 Kildare, Ireland;
| | - Peter O’Gorman
- Department of Haematology, Mater Misericordiae University Hospital, D07 AX57 Dublin, Ireland; (D.B.); (P.O.)
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Xu QR, Du XH, Huang TT, Zheng YC, Li YL, Huang DY, Dai HQ, Li EM, Fang WK. Role of Cell-Cell Junctions in Oesophageal Squamous Cell Carcinoma. Biomolecules 2022; 12:biom12101378. [PMID: 36291586 PMCID: PMC9599896 DOI: 10.3390/biom12101378] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 02/05/2023] Open
Abstract
Cell-cell junctions comprise various structures, including adherens junctions, tight junctions, desmosomes, and gap junctions. They link cells to each other in tissues and regulate tissue homeostasis in critical cellular processes. Recent advances in cell-cell junction research have led to critical discoveries. Cell-cell adhesion components are important for the invasion and metastasis of tumour cells, which are not only related to cell-cell adhesion changes, but they are also involved in critical molecular signal pathways. They are of great significance, especially given that relevant molecular mechanisms are being discovered, there are an increasing number of emerging biomarkers, targeted therapies are becoming a future therapeutic concern, and there is an increased number of therapeutic agents undergoing clinical trials. Oesophageal squamous cell carcinoma (ESCC), the most common histological subtype of oesophageal cancer, is one of the most common cancers to affect epithelial tissue. ESCC progression is accompanied by the abnormal expression or localisation of components at cell-cell junctions. This review will discuss the recent scientific developments related to the molecules at cell-cell junctions and their role in ESCC to offer valuable insights for readers, provide a global view of the relationships between position, construction, and function, and give a reference for future mechanistic studies, diagnoses, and therapeutic developments.
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Affiliation(s)
| | | | | | | | | | | | | | - En-Min Li
- Correspondence: (E.-M.L.); (W.-K.F.)
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Denis M, Grasselly C, Choffour PA, Wierinckx A, Mathe D, Chettab K, Tourette A, Talhi N, Bourguignon A, Birzele F, Kress E, Jordheim LP, Klein C, Matera EL, Dumontet C. IN VIVO SYNGENEIC TUMOR MODELS WITH ACQUIRED RESISTANCE TO ANTI-PD-1/PD-L1 THERAPIES. Cancer Immunol Res 2022; 10:1013-1027. [PMID: 35679518 DOI: 10.1158/2326-6066.cir-21-0802] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/28/2022] [Accepted: 06/03/2022] [Indexed: 11/16/2022]
Abstract
Antibodies targeting PD-1 and PD-L1 have produced durable responses in a subset of cancer patients. However, a majority of these patients will ultimately relapse due to acquired resistance. To explore the underlying mechanisms of this secondary resistance, we developed five syngeneic murine tumor variants with acquired resistance to anti-PD-1 and/or PD-L1 antibodies in vivo. Resistant in vivo models were obtained by serial treatment/reimplantation cycles of the MC38 colorectal, MB49 and MBT2 bladder, TyrNras melanoma and RENCA kidney models. Tumor immune infiltrates were characterized for wild type and resistant tumors using spectral cytometry and their molecular alterations analyzed using RNA-seq analyses. Alterations in the tumor immune microenvironment were strongly heterogeneous amongst resistant models, involving select lymphoid and/or myeloid subpopulations. Molecular alterations in resistant models included previously identified pathways as well as novel candidate genes found to be deregulated in several resistant models. Among these, Serpinf1, coding for Pigment Epithelial Derived Factor was further explored in the MC38 and the MBT2 models. Overexpression of Serpinf1 induced resistance to anti-PD-1 antibodies in the MC38 model, whereas knock-down of Serpinf1 sensitized this model as well as the primarily resistant MBT2 model. Serpinf1 overexpression was associated with increased production of free fatty acids and reduced activation of CD8+ cells, while orlistat, a compound that reduces the production of free fatty acids, reversed resistance to anti-PD-1 therapy. Our results suggest that a panel of syngeneic resistant models constitutes a useful tool to model the heterogeneity of resistance mechanisms encountered in the clinic.
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Affiliation(s)
- Morgane Denis
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, Lyon, France
| | - Chloé Grasselly
- Univ Lyon, Université Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, France
| | | | - Anne Wierinckx
- INSERM U1052, Centre de Recherche en Cancerologie de Lyon, Lyon, France
| | | | - Kamel Chettab
- Centre de Recherche en Cancérologie de Lyon, Lyon, France
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