Ask about this productRelated genes to: GLT8D2 antibody
- Gene:
- GLT8D2 NIH gene
- Name:
- glycosyltransferase 8 domain containing 2
- Previous symbol:
- -
- Synonyms:
- FLJ31494
- Chromosome:
- 12q23.3
- Locus Type:
- gene with protein product
- Date approved:
- 2005-01-19
- Date modifiied:
- 2015-09-07
Related products to: GLT8D2 antibody
Related articles to: GLT8D2 antibody
- Peritoneal metastasis is the most common form of metastasis in ovarian cancer (OC), resulting in a poor prognosis. Abnormal modification of proteins by glycosyltransferases is closely related to immunosuppression and tumor metastasis. However, there were few reports on glycosyltransferase related biomarkers of peritoneal metastasis in OC. This study investigates the role of glycosyltransferase GLT8D2 in promoting peritoneal metastasis and tumor immune evasion through PD-L1 N-glycosylation in OC. Using single-cell RNA sequencing and clinical samples, we found that GLT8D2 is significantly upregulated in metastatic OC tissues and negatively correlated with immune pathways. Mechanistically, GLT8D2 interacts with PD-L1, mediates its N-glycosylation at the Asn192 site, thereby enhancing PD-L1 stability. The N-glycosylation of PD-L1 facilitated tumor cell migration and invasion, accompanied by decreased CD8 T cell infiltration and upregulated expression of T cell exhaustion markers including LAG3 and PD-1. Furthermore, GLT8D2 knockdown synergized with anti-PD-L1 therapy to reduce tumor metastasis in vivo. Hypoxia-inducible factor HIF-1α was identified as a direct transcriptional activator of GLT8D2. Our findings highlight GLT8D2 as a key regulator of metastasis and immune evasion in OC, offering a potential strategy to improve prognosis. - Source: PubMed
Publication date: 2026/04/03
Xu YinyinHuang ShutingChen JingTang ZhenyeFu YingChen ZhizaiLin ZidanHu JiemeiZhang WeiHe Shanyang - Spinal cord injury (SCI) is a severe neurological disorder, with glucocorticoids like methylprednisolone commonly used for treatment. However, their efficacy and risks remain controversial. Programmed cell death (PCD) mechanisms have been increasingly implicated in SCI pathology. This study aimed to identify differentially expressed genes (DEGs) related to glucocorticoid receptors and PCD and to construct a diagnostic model to guide glucocorticoid use in SCI treatment. SCI datasets (GSE5296, GSE47681, GSE151371, and GSE45550) were analyzed using protein-protein interaction networks, consensus clustering, GSVA for PCD pathway enrichment, and WGCNA. A total of 113 diagnostic models were developed through 12 machine learning algorithms, with the optimal model, "Lasso + Stepglm[both]," featuring six genes: Abca1, Cdh1, Glipr1, Glt8d2, Il10ra, and Pde5a. Validation through qRT-PCR confirmed the differential expression of four genes (Abca1, Glipr1, Il10ra, and Cdh1), which demonstrated strong predictive performance. Pathway enrichment of GRRDEGs was analyzed using GO, KEGG, and Bayesian network methods, and immune cell infiltration was assessed via CIBERSORT. In this study, we identified GR- and PCD-related DEGs in SCI and constructed a diagnostic model that may improve understanding of SCI molecular mechanisms and inform future investigations of glucocorticoid use. - Source: PubMed
Publication date: 2025/07/07
Lu FengLiu YingyingChen ZhenChen ShuningLiang WeidongHua FuzhouZhong MaolinWang Lifeng - Bladder urothelial carcinoma (BLCA) is a highly heterogeneous cancer with a wide range of prognoses, ranging from low-grade non-muscle-invasive bladder cancer (NMIBC), which has a good prognosis but a high recurrence rate, to high-grade muscle-invasive bladder cancer (MIBC), which has a poor prognosis. Glycosylation dysregulation plays a significant role in cancer development. Therefore, this study aimed to investigate the role of glycosyltransferases (GT)-related genes in the prognosis of BLCA and to develop a prognostic model based on these genes to predict overall survival (OS) and assess its clinical application. - Source: PubMed
Publication date: 2024/12/28
Li WeipingZuo KangweiZhao QiGuo ChenhaoLiu ZirongLiu ChengJing Suoshi - Studies have indicated cancer-associated fibroblasts (CAFs) could have a significant impact in gastric cancer (GC) progression and chemotherapy resistance. However, the gene related to cancer fibroblasts that can be used as biomarkers to judge the occurrence of gastric cancer has not been fully explored. Based on two Gene Expression Omnibus (GEO) datasets, we focus on differentially expressed genes which may act as CAFs markers related to GC. Through COX regression, LASSO regression and Kaplan-Meier survival analysis, we discovered three upregulated genes (GLT8D2, GNAS and EDA) associated with poor GC patients' survival. By single-cell analysis and nomogram, we found that EDA may affect fibroblast production and disease prognosis in GC patients. EDA expression showed a positive correlation with 5-Fluorouracil IC50 values. Immunohistochemistry (IHC) and real time PCR indicated elevated EDA levels in GC tissues and cells. Enrichment analysis revealed that EDA was closely linked to immune system regulation. IHC and single-cell analysis indicated that EDA gene was associated with cancer fibroblasts marker FGF12 and influence cell interferon-gamma response, which may play a role in regulating immune-related characteristics. In summary, we concluded that EDA may be used as a new therapeutic CAFs marker for GC. - Source: PubMed
Publication date: 2024/07/02
Zhang YaChen HaoranZhang WenzhengZhou Haiyan - Because of the considerable tumor heterogeneity in gastric cancer (GC), only a limited group of patients experiences positive outcomes from immunotherapy. Herein, we aim to develop predictive models related to glycosylation genes to provide a more comprehensive understanding of immunotherapy for GC. RNA sequencing (RNA-seq) data and corresponding clinical outcomes were obtained from GEO and TCGA databases, and glycosylation-related genes were obtained from GlycoGene DataBase. We identified 48 differentially expressed glycosylation-related genes and established a prognostic model (seven prognosis genes including ) based on these glycosylation-related genes using the results from Cox regression analysis. We found that these glycosylation-related genes revealed a robust correlation with the abundance of Tumor Infiltrating Lymphocytes (TILs), especially the GLT8D2 which is associated with many TILs. Finally, we employed immunohistochemistry and Multiplex Immunohistochemical to discover that GLT8D2 serves as a valuable prognostic biomarker in GC and is closely associated with macrophage-related markers. Collectively, we established a prognostic model based on glycosylation-related genes to provide a more comprehensive understanding of prediction for GC prognosis, and identified that GLT8D2 is closely correlated with adverse prognosis and may underscore its role in regulating immune cell infiltration in GC patients. - Source: PubMed
Publication date: 2024/05/22
Wang HanZheng JiabinMa QingyangZhang JunchangLi Yong