ST8SIA6

Last update 08 May 2025

Basic Info

Synonyms

Alpha-2,8-sialyltransferase 8F, Sialyltransferase 8F, Sialyltransferase St8Sia VI

+ [5]

Introduction

Alpha-2,8-sialyltransferase that prefers O-glycans to N-glycans or glycolipids as acceptor substrates. The minimal acceptor substrate is the NeuAc-alpha-2,3(6)-Gal sequence at the non-reducing end of their carbohydrate groups.

100 Clinical Results associated with ST8SIA6

100 Translational Medicine associated with ST8SIA6

0 Patents (Medical) associated with ST8SIA6

Literatures (Medical) associated with ST8SIA6

06 Jan 2025·International Journal of Medical Sciences

Glycosphingolipids-Dependent Phospholipid Metabolism Enhances Cancer Initiation and Progression through SMPD1/GLTP/B3GALT4/ST8SIA6 Signaling Axis: A Novel Therapeutic Target

Article

Author: Zhou, Hao ; Liu, Jiangrui ; Su, Yibin ; Hou, Jianbin ; Mao, Nanqi ; Shi, Liangpan ; Zheng, Zhihua

Colorectal cancer (CRC) is a prevalent malignancy with high morbidity and mortality rates globally. Advances in single-cell sequencing technology have enabled comprehensive analyses of tumor cells at single-cell resolution, providing valuable insights into the molecular mechanisms underlying CRC initiation and progression. In this study, we integrated single-cell sequencing data with the TCGA database to identify key molecular pathways involved in CRC pathogenesis. Our analysis revealed that dysregulation of phospholipid metabolism, particularly sphingolipid metabolism, plays a crucial role in CRC development. Specifically, we observed aberrant expression of genes involved in sphingolipid biosynthesis and degradation, as well as altered levels of various sphingolipid metabolites in CRC cells. Furthermore, we identified several potential therapeutic targets, including SMPD1, GLTP, B3GALT4, and ST8SIA6, within the sphingolipid metabolism pathway that could be exploited for the development of novel CRC treatments. Overall, our findings provide novel insights into the molecular mechanisms underlying CRC and highlight the importance of targeting phospholipid metabolism, specifically sphingolipid metabolism, as a potential therapeutic strategy for CRC.

01 Dec 2024·Translational Andrology and Urology

An 11-gene glycosyltransferases-related model for the prognosis of patients with bladder urothelial carcinoma: development and validation based on TCGA and GEO datasets

Article

Author: Zuo, Kangwei ; Guo, Chenhao ; Jing, Suoshi ; Zhao, Qi ; Liu, Cheng ; Li, Weiping ; Liu, Zirong

BackgroundBladder 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.MethodsThe Cancer Genome Atlas (TCGA)-BLCA dataset, comprising 411 tumor and 19 normal samples. The validation set, GSE13507 from the Gene Expression Omnibus (GEO) database, included 165 primary bladder cancer samples with survival data. Differentially expressed GT-related genes (DEGRGs) in BLCA were identified in the training set. Predictive DEGRGs were used to construct risk score models by univariate Cox regression, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression. The predictive value of the models was assessed using Kaplan-Meier survival analysis and receiver operating characteristic (ROC) analysis in the training and validation sets. A nomogram was developed and its performance was evaluated with calibration curves. In addition, the relationship between the risk score and the tumor immune microenvironment was explored, and tumor immune dysfunction score (TIDE) and immune signature scores were used to predict the response to immunotherapy in BLCA patients.ResultsThirty-three DEGRGs were identified in the comparison of BLCA patients with control samples. A risk score model was constructed based on 11 of these genes (GYS2, GALNTL6, GLT8D2, PYGB, B3GALNT2, GALNT15, ST6GALNAC3, ST8SIA6, CHPF, ALG9 and B3GALT2). The model performed well in predicting 3-, 5-, and 7-year overall survival (OS), with areas under the curve (AUC) of 0.65, 0.67, and 0.68, respectively. In addition, patients in the high-risk group had significantly lower survival than those in the low-risk group, and there were significant differences in immune status between the two groups. Based on age, tumor stage, T stage, and risk score, a Nomogram was constructed to predict the probability of OS, and the results of the calibration curves showed that the model had high predictive accuracy. Further analysis showed that the rejection score and TIDE were higher in the high-risk group, while the GT-related pathway was significantly upregulated in the high-risk group.ConclusionsThe 11 GT-related genes identified were associated with OS in BLCA patients, suggesting that the model has potential predictive value. At the same time, further research is needed to explore its role in clinical practice.

01 Jun 2023·Environmental Pollution

Long-term DEHP/MEHP exposure promotes colorectal cancer stemness associated with glycosylation alterations

Article

Author: Lee, Yung-Kuo ; Nguyen, Ngoc Uyen Nhi ; Shih, Pei-Chun ; Fang, Cheng-Chieh ; Chu, Tian-Huei ; Chen, Hsin-Pao ; Ko, Chou-Yuan ; Chang, Chuan-Fa ; Ho, Yu-Cheng ; Hsu, Ching-Cheng ; Wu, Yueh-Jung ; Huang, Cheng-Yi ; Lin, Chung-Hsien ; Chen, Tung-Yuan ; Tzou, Shiow-Jyu ; Wu, Cheng-Chun ; Huang, Shih-Chung ; Hsueh, Chao-Wen

Plasticizers are considered as environmental pollution released from medical devices and increased potential oncogenic risks in clinical therapy. Our previous studies have shown that long-term exposure to di-ethylhexyl phthalate (DEHP)/mono-ethylhexyl phthalate (MEHP) promotes chemotherapeutic drug resistance in colorectal cancer. In this study, we investigated the alteration of glycosylation in colorectal cancer following long-term plasticizers exposure. First, we determined the profiles of cell surface N-glycomes by using mass spectrometry and found out the alterations of α2,8-linkages glycans. Next, we analyzed the correlation between serum DEHP/MEHP levels and ST8SIA6 expression from matched tissues in total 110 colorectal cancer patients. Moreover, clinical specimens and TCGA database were used to analyze the expression of ST8SIA6 in advanced stage of cancer. Finally, we showed that ST8SIA6 regulated stemness in vitro and in vivo. Our results revealed long-term DEHP/MEHP exposure significantly caused cancer patients with poorer survival outcome and attenuated the expression of ST8SIA6 in cancer cells and tissue samples. As expected, silencing of ST8SIA6 promoted cancer stemness and tumorigenicity by upregulating stemness-associated proteins. In addition, the cell viability assay showed enhanced drug resistance in ST8SIA6 silencing cells treated with irinotecan. Besides, ST8SIA6 was downregulated in the advanced stage and positively correlated with tumor recurrence in colorectal cancer. Our results imply that ST8SIA6 potentially plays an important role in oncogenic effects with long-term phthalates exposure.

Analysis

Perform a panoramic analysis of this field.

view full example data

AI Agents Built for Biopharma Breakthroughs

Accelerate discovery. Empower decisions. Transform outcomes.

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis

ST8SIA6

Basic Info

Related

Analysis