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Yu D, Ma H, Li D, Tang H, Li W, Li M. Identification of SLC12A8 as a valuable prognostic biomarker and immunotherapeutic target by comprehensive pan-cancer analysis. Gene 2024; 903:148211. [PMID: 38280496 DOI: 10.1016/j.gene.2024.148211] [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: 10/19/2023] [Revised: 12/13/2023] [Accepted: 01/23/2024] [Indexed: 01/29/2024]
Abstract
Solute carrier family 12 member 8 (SLC12A8) is a nicotinamide mononucleotide transporter. Despite emerging evidence supporting its potential involvement in oncogenesis, a systematic pan-cancer analysis of SLC12A8 has not been performed. Thus, this research aimed to explore the prognostic implications of SLC12A8 and assess its possible immune-related functions across 33 different tumor types. And multiple datasets were retrieved from the databases of TCGA, GTEx, Broad Institute CCLE, TISCH, HPA, and GDSC2. After this data acquisition, bioinformatics analyses were conducted to assess the potential involvement of SLC12A8 in cancer pathogenesis. These analyses focused on examining the relationship between SLC12A8 and prognosis, drug sensitivity, chemotherapy response, immune checkpoints (ICPs), immune cell infiltration, and immunotherapy efficacy across various tumor types. Furthermore, experimental methods such as EdU assay, wound healing assay, and transwell assay were conducted to evaluate the cell proliferative and invasive abilities. Finally, the data analysis demonstrated that SLC12A8 was differentially expressed and predicted unfavorable survival outcomes in the majority of the tumor types in the TCGA dataset. Furthermore, a notable upregulation in the expression of SLC12A8 mRNA and protein was observed in cancer tissues compared to normal tissues. Additionally, the SLC12A8 levels demonstrated a strong association with ICPs, chemokines, immune-activating genes, immune-suppressive genes, chemokine receptors, chemotherapy response, and immunotherapy efficacy. In vitro experiments substantiated that knockdown of SLC12A8 restricted the malignant phenotypes of MDA-MB-231 and BT-549 cells. So SLC12A8 holds promise as a cancer biomarker with the capacity to interact with other ICPs to synergistically regulate the immune microenvironment. Thus, the identification of SLC12A8 contributes to the development of novel therapeutic strategies for enhancing the efficacy of immunotherapy.
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Affiliation(s)
- Dongmin Yu
- Department of Breast Disease Comprehensive Center, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China.
| | - Hanhongfeng Ma
- General Surgery Ward 1. Bengbu First People's Hospital, Bengbu 233000, People's Republic of China
| | - Deping Li
- Department of Pharmacy, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Huiyang Tang
- Department of Breast Disease Comprehensive Center, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Wei Li
- General Surgery Ward 1. Bengbu First People's Hospital, Bengbu 233000, People's Republic of China
| | - Meifang Li
- Department of Breast Disease Comprehensive Center, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China.
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Huang F, Cui J, Wan J, Yuan X, Zhu Y, Wu X, Zuo W, Zhao T. SLC12A8 mediates TKI resistance in EGFR-mutant lung cancer via PDK1/AKT axis. J Cancer Res Clin Oncol 2023; 149:16729-16739. [PMID: 37725242 DOI: 10.1007/s00432-023-05416-4] [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: 07/26/2023] [Accepted: 09/07/2023] [Indexed: 09/21/2023]
Abstract
PURPOSE Epidermal growth factor receptor (EGFR) mutation is a prominent driver of lung cancer. Tyrosine kinase inhibitors (TKIs) have shown efficacy in treating EGFR-mutant lung cancer, but the emergence of drug resistance poses a significant challenge. Recent research has highlighted solute carrier family 12 member 8 (SLC12A8) as one of the highly upregulated genes in various cancer types. However, its oncogenic function remains largely unexplored. METHODS 343 consecutive lung cancer patients were prospectively recruited and were followed for over 10 years. SLC12A8 expression in lung cancer tissues was measured by qPCR and was associated with patient survival. The association of SLC12A8 with TKI resistance was studied in in vitro EGFR-mutant lung cancer cell line as well as in in vivo xenograft tumor model. High-throughput kinome screening was employed to investigate SLC12A8-mediated oncogenic signaling pathway in lung cancer. RESULTS SLC12A8 is a predictive biomarker of poor prognosis in lung cancer, particularly in patients with EGFR mutations. SLC12A8 overexpression diminishes the effectiveness of TKIs in EGFR-mutant lung cancer, resulting in treatment failure and disease progression. More importantly, SLC12A8-induced TKI resistance is mediated by the PDK1/AKT signaling axis, while silencing SLC12A8 expression inhibits oncogenic PDK1/AKT signaling, restoring TKI sensitivity in lung cancer cells. CONCLUSION SLC12A8 mediates TKI resistance in EGFR-mutant lung cancer via PDK1/AKT axis. These findings not only advance our understanding of the molecular mechanisms driving TKI resistance, but also offer novel alternative strategies for the treatment of lung cancer.
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Affiliation(s)
- Fang Huang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Jian Cui
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Jingxuan Wan
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Xue Yuan
- Department of Respiratory Medicine, Ganjiang New Area People's Hospital, Nanchang, Jiangxi, People's Republic of China
| | - Yuanzhe Zhu
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Xiangxiang Wu
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Wei Zuo
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China.
| | - Tiantian Zhao
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Donghu District, Nanchang, 330006, Jiangxi, People's Republic of China.
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Sahin Y, Altan Z, Karabulut A, Saadat KASM, Arslan A. The role of miR-223 in breast cancer; an integrated analysis. Mol Biol Rep 2023; 50:10179-10188. [PMID: 37924447 DOI: 10.1007/s11033-023-08850-2] [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: 04/03/2023] [Accepted: 09/26/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Breast cancer (BRCA) is the most common and leading cause of cancer-related death in women. MicroRNAs (miRNAs) are short non-coding RNA fragments that play a role in regulating gene expression including the cancer-related pathways. Although dysregulation of miR-223 has been demonstrated in recent studies to have prognostic value in various cancers, its diagnostic and prognostic role in BRCA remains unknown. METHODS The expression and the prognostic value of miR-223 were evaluated using the TCGA data and verified by qRT-PCR. Subsequently, potential oncogenic targets of miR-223 were identified by using three different miRNA target prediction tools and the GEPIA database. In addition to these databases, protein-protein interaction network, molecular functions, prognostic value, and the expression level of miR-223 targets were included by using several other bioinformatics tools and databases; such as, UALCAN, GeneMANIA and Metascape. RESULTS The bioinformatic results demonstrated that miR-223 downregulated in BRCA and associated with poor prognosis of patients. In vitro experiments validated that miR-223 significantly downregulated in BRCA cells, MCF-7, SK-BR3, MDA-MB-231 and HCC1500, compared to normal breast cell line hTERT-HME1. Furthermore, ANLN, DYNLT1, LRRC59, SLC12A8 and TPM3 genes were identified as the potential oncogenic target genes of miR-223 based on their expression and prognosis in BRCA. Additionally, protein-protein interaction network of these target genes was mainly enriched in dynein intermediate chain binding, cell division, regulation of cell cycle process, and positive regulation of cellular component biogenesis. CONCLUSIONS The results suggests that miR-223 and its targets, ANLN, DYNLT1, LRRC59, SLC12A8 and TPM3, might be reliable potential prognostic biomarkers in BRCA patients.
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Affiliation(s)
- Yunus Sahin
- Department of Medical Biology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey
| | - Zekiye Altan
- Department of Medical Biology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey
| | - Aydın Karabulut
- Department of Immunology, Institute of Health Sciences, Health Sciences University, Mekteb-i Tıbbiye-i Sahane (Hamidiye) Kulliyesi, Uskudar, İstanbul, Turkey
| | - Khandakar A S M Saadat
- Department of Medical Biology, Faculty of Medicine, Institute of Health Sciences, Gaziantep University, Gaziantep, Turkey
| | - Ahmet Arslan
- Department of Medical Genetics, Faculty of Medicine, Research and Application Hospital, Tekirdag Namık Kemal University, Suleymanpasa, Tekirdag, Turkey.
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Zheng P, Mao Z, Luo M, Zhou L, Wang L, Liu H, Liu W, Wei S. Comprehensive bioinformatics analysis of the solute carrier family and preliminary exploration of SLC25A29 in lung adenocarcinoma. Cancer Cell Int 2023; 23:222. [PMID: 37775731 PMCID: PMC10543265 DOI: 10.1186/s12935-023-03082-7] [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: 08/05/2023] [Accepted: 09/21/2023] [Indexed: 10/01/2023] Open
Abstract
According to the latest epidemiological investigation, lung adenocarcinoma (LUAD) is one of the most fatal cancer among both men and women. Despite continuous advancements in treatment approaches in recent years, the prognosis for LUAD remains relatively poor. Given the crucial role of the solute carrier (SLC) family in maintaining cellular energy metabolism stability, we conducted a comprehensive analysis of the association between SLC genes and LUAD prognosis. In the present study, we identified 71 genes among the SLC family members, of which 32 were downregulated and 39 were upregulated in LUAD samples. Based on these differentially expressed genes, a prognostic risk scoring model was established that was composed of five genes (SLC16A7, SLC16A4, SLC16A3, SLC12A8, and SLC25A15) and clinical characteristics; this model could effectively predict the survival and prognosis of patients in the cohort. Notably, SLC2A1, SLC25A29, and SLC27A4 were identified as key genes associated with survival and tumor stage. Further analysis revealed that SLC25A29 was underexpressed in LUAD tissue and regulated the phenotype of endothelial cells. Endothelial cell proliferation and migration increased and apoptosis decreased with a decrease in SLC25A29 expression. Investigation of the upstream regulatory mechanisms of SLC25A29 revealed that SLC25A29 expression gradually decreased as the lactate concentration increased. This phenomenon suggested that the expression of SLC25A29 may be related to lactylation modification. ChIP-qPCR experiments confirmed the critical regulatory role played by H3K14la and H3K18la modifications in the promoter region of SLC25A29. In conclusion, this study confirmed the role of SLC family genes in LUAD prognosis and revealed the role of SLC25A29 in regulating endothelial cell phenotypes. These study results provided important clues to further understand LUAD pathogenesis and develop appropriate therapeutic strategies.
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Affiliation(s)
- Pengdou Zheng
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Zhenyu Mao
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Miao Luo
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Ling Zhou
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Lingling Wang
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Huiguo Liu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Wei Liu
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China.
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China.
| | - Shuang Wei
- Department of Respiratory and Critical Care Medicine, Key Laboratory of Pulmonary Diseases of Health Ministry, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China.
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张 晓, 吴 浩, 汪 盛. [SLC12A8 promotes proliferation, invasiveness, migration and epithelial-mesenchymal transition of bladder cancer cells by activating JAK/STAT singaling]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2023; 43:1613-1621. [PMID: 37814877 PMCID: PMC10563110 DOI: 10.12122/j.issn.1673-4254.2023.09.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Indexed: 10/11/2023]
Abstract
OBJECTIVE To investigate the role of solute carrier family 12 member A8 (SLC12A8) in regulation of biological behaviors of bladder cancer and the mechanism mediating its effect. METHODS The TCGA database was used to analyze SLC12A8 expression in bladder cancer and is correlation with prognosis and clinicopathological characteristics of the patients. In different bladder cancer cell lines, the effects of transient transfection with SLC12A8 siRNA on cell proliferation, invasion and migration ability were examined using CCK-8 assay, Transwell assay and scratch experiment. Gene set enrichment analysis (GSEA) was carried out to analyze pathway enrichment. The correlation of SLC12A8 with the expressions of epithelial-mesenchymal transition (EMT) markers was analyzed using Western blotting. The effect of colivelin on biological behaviors of the cells with SLC12A8 knockdown was assessed using CCK-8 and Transwell assays. RESULTS SLC12A8 was highly expressed in bladder cancer (P<0.05) and associated with a poor prognosis and advanced pathological stages of the patients (P<0.05), and could serve as an independent prognostic factor. The bladder cancer cell lines with SLC12A8 knockdown showed significantly attenuated proliferation, invasion and migration capacities (P<0.05). GSEA identified significant gene enrichment in the JAK/STAT signaling pathway (P=0.008). Correlation analysis showed that SLC12A8 expression was negatively correlated with E- cadherin expression (r=-0.167, P<0.001) but positively with N-cadherin (r=0.306, P<0.001) and vimentin (r=0.358, P<0.001) expressions. The bladder cancer cells with SLC12A8 knockdown showed significantly decreased expressions of p-Jak2, p-Stat3, N-cadherin and vimentin proteins with an increased expression of E-cadherin. Treatment with colivelin effectively enhanced proliferation, invasion and migration capacities of the bladder cancer cells with SLC12A8 knockdown (P<0.05). CONCLUSION SLC12A8 promotes bladder cancer progression by activating the JAK/STAT signaling pathway and its high expression is closely associated with a poor prognosis of the patients.
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Affiliation(s)
- 晓林 张
- />蚌埠医学院第一附属医院泌尿外科,安徽 蚌埠 233004Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - 浩松 吴
- />蚌埠医学院第一附属医院泌尿外科,安徽 蚌埠 233004Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - 盛 汪
- />蚌埠医学院第一附属医院泌尿外科,安徽 蚌埠 233004Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
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Lavoro A, Falzone L, Tomasello B, Conti GN, Libra M, Candido S. In silico analysis of the solute carrier (SLC) family in cancer indicates a link among DNA methylation, metabolic adaptation, drug response, and immune reactivity. Front Pharmacol 2023; 14:1191262. [PMID: 37397501 PMCID: PMC10308049 DOI: 10.3389/fphar.2023.1191262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/05/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction: The oncogenic transformation is driven by genetic and epigenetic alterations influencing cancer cell fate. These alterations also result in metabolic reprogramming by modulating the expression of membrane Solute Carrier (SLC) transporters involved in biomolecules trafficking. SLCs act as tumor suppressors or promoters influencing cancer methylome, tumor growth, immune-escape, and chemoresistance. Methods: This in silico study aimed to identify the deregulated SLCs in various tumor types compared to normal tissues by analyzing the TCGA Target GTEx dataset. Furthermore, the relationship between SLCs expression and the most relevant tumor features was tackled along with their genetic regulation mediated by DNA methylation. Results: We identified 62 differentially expressed SLCs, including the downregulated SLC25A27 and SLC17A7, as well as the upregulated SLC27A2 and SLC12A8. Notably, SLC4A4 and SLC7A11 expression was associated with favorable and unfavorable outcome, respectively. Moreover, SLC6A14, SLC34A2, and SLC1A2 were linked to tumor immune responsiveness. Interestingly, SLC24A5 and SLC45A2 positively correlated with anti-MEK and anti-RAF sensitivity. The expression of relevant SLCs was correlated with hypo- and hyper-methylation of promoter and body region, showing an established DNA methylation pattern. Noteworthy, the positive association of cg06690548 (SLC7A11) methylation with cancer outcome suggests the independent predictive role of DNA methylation at a single nucleotide resolution. Discussion: Although our in silico overview revealed a wide heterogeneity depending on different SLCs functions and tumor types, we identified key SLCs and pointed out the role of DNA methylation as regulatory mechanism of their expression. Overall, these findings deserve further studies to identify novel cancer biomarkers and promising therapeutic targets.
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Affiliation(s)
- Alessandro Lavoro
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Luca Falzone
- Epidemiology Unit, IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale”, Naples, Italy
| | - Barbara Tomasello
- Department of Drug and Health Sciences, University of Catania, Catania, Italy
| | - Giuseppe Nicolò Conti
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, Italy
| | - Saverio Candido
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
- Research Center for Prevention, Diagnosis and Treatment of Cancer, University of Catania, Catania, Italy
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Ye C, Swiers R, Bonner S, Barrett I. A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:3070-3080. [PMID: 35939454 DOI: 10.1109/tcbb.2022.3197320] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The drug discovery and development process is a long and expensive one, costing over 1 billion USD on average per drug and taking 10-15 years. To reduce the high levels of attrition throughout the process, there has been a growing interest in applying machine learning methodologies to various stages of drug discovery and development in the recent decade, especially at the earliest stage - identification of druggable disease genes. In this paper, we have developed a new tensor factorisation model to predict potential drug targets (genes or proteins) for treating diseases. We created a three-dimensional data tensor consisting of 1,048 gene targets, 860 diseases and 230,011 evidence attributes and clinical outcomes connecting them, using data extracted from the Open Targets and PharmaProjects databases. We enriched the data with gene target representations learned from a drug discovery-oriented knowledge graph and applied our proposed method to predict the clinical outcomes for unseen gene target and disease pairs. We designed three evaluation strategies to measure the prediction performance and benchmarked several commonly used machine learning classifiers together with Bayesian matrix and tensor factorisation methods. The result shows that incorporating knowledge graph embeddings significantly improves the prediction accuracy and that training tensor factorisation alongside a dense neural network outperforms all other baselines. In summary, our framework combines two actively studied machine learning approaches to disease target identification, namely tensor factorisation and knowledge graph representation learning, which could be a promising avenue for further exploration in data-driven drug discovery.
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