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Zhou Z, Wu B, Chen J, Shen Y, Wang J, Chen X, Fei F, Li L. ETV4 facilitates proliferation, migration, and invasion of liver cancer by mediating TGF-β signal transduction through activation of B3GNT3. Genes Genomics 2023; 45:1433-1443. [PMID: 37523127 DOI: 10.1007/s13258-023-01428-z] [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: 04/12/2023] [Accepted: 07/08/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Metastasis of liver cancer (LC) is the main cause of its high mortality. ETV4 is a critical regulatory factor in promoting LC progression, but the mechanism that ETV4 impacts LC proliferation, migration, and invasion is poorly understood. OBJECTIVE Investigation of the molecular mechanism of LC metastasis is conducive to developing effective drugs that prevent LC metastasis. METHODS Expression of ETV4 and its target gene B3GNT3 in LC tissue was analyzed by bioinformatics, and the result was further verified in LC cells by qRT-PCR. In vitro cellular assays evaluated the impact of ETV4 on the proliferation, migration, and invasion of LC cells. Chromatin immunoprecipitation (ChIP) and dual-luciferase reporter gene assay were conducted to analyze the interaction between B3GNT3 and ETV4. SB525334 suppressor was used to treat and access the activation of ETV4 on the TGF-β pathway. RESULTS We discovered that ETV4 and B3GNT3 were evidently up-regulated in LC, and high expression of ETV4 was coupled to the increase of proliferation, migration, and invasion of LC cells and epithelial-mesenchymal transition ability. Besides, ETV4 could bind to the B3GNT3 promoter and activate its transcription. Knockdown of B3GNT3 could prominently suppress the effect of up-regulated ETV4 on LC cells. Meanwhile, ETV4 could activate the TGF-β signaling pathway via B3GNT3, while SB525334 treatment notably repressed the functions of ETV4. CONCLUSION ETV4 emerges as a driven oncogene in LC, and the ETV4/B3GNT3-TGF-β pathway promotes proliferation, migration, invasion, and epithelial-mesenchymal transition progress of LC. Inhibition of the pathway may provide an underlying method for the prevention and treatment of LC metastasis.
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Affiliation(s)
- Zhongcheng Zhou
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Bin Wu
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Jing Chen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Yiyu Shen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Jing Wang
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Xujian Chen
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Faming Fei
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Jiaxing University, 1518 Huancheng North Road, Jiaxing, 314000, Zhejiang Province, China
| | - Liang Li
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, No 1882 Zhonghuan south road, Jiaxing, 314000, Zhejiang Province, China.
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Liang JX, Chen Q, Gao W, Chen D, Qian XY, Bi JQ, Lin XC, Han BB, Liu JS. A novel glycosylation-related gene signature predicts survival in patients with lung adenocarcinoma. BMC Bioinformatics 2022; 23:562. [PMID: 36575396 PMCID: PMC9793550 DOI: 10.1186/s12859-022-05109-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 12/12/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is the most common malignant tumor that seriously affects human health. Previous studies have indicated that abnormal levels of glycosylation promote progression and poor prognosis of lung cancer. Thus, the present study aimed to explore the prognostic signature related to glycosyltransferases (GTs) for LUAD. METHODS The gene expression profiles were obtained from The Cancer Genome Atlas (TCGA) database, and GTs were obtained from the GlycomeDB database. Differentially expressed GTs-related genes (DGTs) were identified using edge package and Venn diagram. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and ingenuity pathway analysis (IPA) methods were used to investigate the biological processes of DGTs. Subsequently, Cox and Least Absolute Shrinkage and Selection Operator (LASSO) regression analyses were performed to construct a prognostic model for LUAD. Kaplan-Meier (K-M) analysis was adopted to explore the overall survival (OS) of LUAD patients. The accuracy and specificity of the prognostic model were evaluated by receiver operating characteristic analysis (ROC). In addition, single-sample gene set enrichment analysis (ssGSEA) algorithm was used to analyze the infiltrating immune cells in the tumor environment. RESULTS A total of 48 DGTs were mainly enriched in the processes of glycosylation, glycoprotein biosynthetic process, glycosphingolipid biosynthesis-lacto and neolacto series, and cell-mediated immune response. Furthermore, B3GNT3, MFNG, GYLTL1B, ALG3, and GALNT13 were screened as prognostic genes to construct a risk model for LUAD, and the LUAD patients were divided into high- and low-risk groups. K-M curve suggested that patients with a high-risk score had shorter OS than those with a low-risk score. The ROC analysis demonstrated that the risk model efficiently diagnoses LUAD. Additionally, the proportion of infiltrating aDCs (p < 0.05) and Tgds (p < 0.01) was higher in the high-risk group than in the low-risk group. Spearman's correlation analysis manifested that the prognostic genes (MFNG and ALG3) were significantly correlated with infiltrating immune cells. CONCLUSION In summary, this study established a novel GTs-related risk model for the prognosis of LUAD patients, providing new therapeutic targets for LUAD. However, the biological role of glycosylation-related genes in LUAD needs to be explored further.
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Affiliation(s)
- Jin-Xiao Liang
- Department of Oncological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of Banshan East Road, Hangzhou, 310022, Zhejiang Province, Republic of China
- Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, People's Republic of China
| | - Qian Chen
- Department of Oncological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of Banshan East Road, Hangzhou, 310022, Zhejiang Province, Republic of China
- Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, People's Republic of China
| | - Wei Gao
- School of Medicine, Zhejiang University City College, Hangzhou, People's Republic of China
| | - Da Chen
- Department of Oncological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of Banshan East Road, Hangzhou, 310022, Zhejiang Province, Republic of China
- Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, People's Republic of China
| | - Xin-Yu Qian
- School of Medicine, Zhejiang University City College, Hangzhou, People's Republic of China
| | - Jin-Qiao Bi
- School of Medicine, Zhejiang University City College, Hangzhou, People's Republic of China
| | - Xing-Chen Lin
- School of Medicine, Zhejiang University City College, Hangzhou, People's Republic of China
| | - Bing-Bing Han
- School of Medicine, Zhejiang University City College, Hangzhou, People's Republic of China
| | - Jin-Shi Liu
- Department of Oncological Surgery, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), No. 1 of Banshan East Road, Hangzhou, 310022, Zhejiang Province, Republic of China.
- Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, People's Republic of China.
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Upregulation of B3GNT3 is associated with immune infiltration and activation of NF-κB pathway in gynecologic cancers. J Reprod Immunol 2022; 152:103658. [DOI: 10.1016/j.jri.2022.103658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Revised: 06/16/2022] [Accepted: 06/22/2022] [Indexed: 11/21/2022]
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Glycosyltransferases in Cancer: Prognostic Biomarkers of Survival in Patient Cohorts and Impact on Malignancy in Experimental Models. Cancers (Basel) 2022; 14:cancers14092128. [PMID: 35565254 PMCID: PMC9100214 DOI: 10.3390/cancers14092128] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/19/2022] [Accepted: 04/21/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Glycosylation changes are a main feature of cancer. Some carbohydrate epitopes and expression levels of glycosyltransferases have been used or proposed as prognostic markers, while many experimental works have investigated the role of glycosyltransferases in malignancy. Using the transcriptomic data of the 21 TCGA cohorts, we correlated the expression level of 114 glycosyltransferases with the overall survival of patients. Methods: Using the Oncolnc website, we determined the Kaplan−Meier survival curves for the patients falling in the 15% upper or lower percentile of mRNA expression of each glycosyltransferase. Results: Seventeen glycosyltransferases involved in initial steps of N- or O-glycosylation and of glycolipid biosynthesis, in chain extension and sialylation were unequivocally associated with bad prognosis in a majority of cohorts. Four glycosyltransferases were associated with good prognosis. Other glycosyltransferases displayed an extremely high predictive value in only one or a few cohorts. The top were GALNT3, ALG6 and B3GNT7, which displayed a p < 1 × 10−9 in the low-grade glioma (LGG) cohort. Comparison with published experimental data points to ALG3, GALNT2, B4GALNT1, POFUT1, B4GALT5, B3GNT5 and ST3GAL2 as the most consistently malignancy-associated enzymes. Conclusions: We identified several cancer-associated glycosyltransferases as potential prognostic markers and therapeutic targets.
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Zhou H, Zhao J, Yang X, Liu J, Huang W. Study on the Expression of β-1,3-N-acetylglucosaminyltransferase 3 in Gastric Cancer and the Mechanism Promoting Gastric Cancer Progression Based on the Extraction Method of Nanomagnetic Beads. J Biomed Nanotechnol 2022; 18:677-692. [PMID: 35715910 DOI: 10.1166/jbn.2022.3296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The oncogenic role of β-1,3-N-acetylglucosaminyltransferase 3 (B3GNT3) in several cancers is well documented. However, the expression, function, and mechanism of B3GNT3 in gastric cancer (GC) remain to be investigated. Here, we extracted RNA using the nanomagnetic bead method and investigated B3GNT3 expression in GC and its mechanism for promoting malignant progression of GC using bioinformatics, quantitative reverse transcription-polymerase chain reaction (qPCR), and western blot (WB). The results showed that the upregulation of B3GNT3 expression was positively related to original T phase, lymph node metastasis, and TNM stage but negatively related to GC prognosis. Meanwhile, the knockdown of the B3GNT3 gene significantly suppressed the growth and infiltration of GC cells. In addition, B3GNT3 promoted the malignant progression of GC cells by upregulating EphA2 transcription and subsequently activating the PI3K/AKT pathway. This work reveals for the first time the upregulation and protumor role of B3GNT3 in GC and highlights the potential clinical applications of B3GNT3/EphA2/AKT signaling in GC diagnosis, treatment, and prognosis prediction.
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Affiliation(s)
- Huijun Zhou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, PR China
| | - Jinfeng Zhao
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, PR China
| | - Xiaolin Yang
- Department of Gastroenterology and Urology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, PR China
| | - Jie Liu
- Department of Pathology, Changsha Central Hospital, Changsha, 410004, Hunan, PR China
| | - Wei Huang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, PR China
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Wu Y, Luo J, Li H, Huang Y, Zhu Y, Chen Q. B3GNT3 as a prognostic biomarker and correlation with immune cell infiltration in lung adenocarcinoma. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:295. [PMID: 35434016 PMCID: PMC9011202 DOI: 10.21037/atm-22-493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 03/01/2022] [Indexed: 11/06/2022]
Abstract
Background Lung adenocarcinoma (LUAD) is the most common malignant cancer in humans and because of low long-term survival rates, exploration of the molecular mechanisms underlying its progression, as well as novel prognostic predictors, is urgently needed. B3GNT3, a type II transmembrane protein located in the Golgi apparatus, is essential for forming extended core 1 oligosaccharides and is reportedly involved in malignant transformation. Methods The Cancer Genome Atlas (TCGA) and GSE68465 were used to analyze the expression of B3GNT3 in LUAD and normal tissues and overall survival. Real time quantitative polymerase chain reaction (qPCR) and western blot were conducted to measure the mRNA and protein levels of B3GNT3, respectively. Functional enrichment of differentially expressed genes was explored using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses. We performed univariate and multivariate Cox regression analyses and a meta-analysis to reveal an independent factor for LUAD. We evaluated the correlation between immune infiltration levels and cumulative survival in the TIMER database. The correlation between B3GNT3 and immune cell infiltration was assessed via Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT). The association of DNA methylation of B3GNT3 and prognosis was determined. A nomogram that incorporated expression and clinical features was additionally built for prognostic prediction. Cell proliferation, cloning, and invasion were conducted to validate the roles of B3GNT3 in LUAD. Results B3GNT3 was more highly expressed in LUAD tissues than in normal lung tissues, consistent with the mRNA and protein levels in LUAD cells. B3GNT3 was an independent factor for LUAD. Moreover, the levels of B3GNT3 were related to immune cell infiltration in LUAD microenvironments. DNA methylation of B3GNT3 correlated with the mRNA of B3GNT and overall survival of LUAD patients. The expression of B3GNT3 was highly valuable for the prediction of diagnosis. Knockdown of B3GNT3 inhibited LUAD cell viability and cloning ability, and hindered invasion. Conclusions B3GNT3 was highly associated with immune cell infiltration, acting as an important biomarker for the prognosis and diagnosis of LUAD.
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Affiliation(s)
- Yuanzhou Wu
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jianmin Luo
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Hui Li
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yang Huang
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yaru Zhu
- Department of Critical Care Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Qunqing Chen
- Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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