B4GALT5 high expression associated with poor prognosis of hepatocellular carcinoma

Han, Yang; Li, Zhe; Wu, Qi; Liu, Hui; Sun, Zhiqiang; Wu, Yong; Luo, Judong

doi:10.1186/s12885-022-09442-2

Cited by 12 publications

(6 citation statements)

References 44 publications

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“…A bioinformatic analysis concluded that B4GALT5 is one of the most consistently malignancy-associated enzymes using the transcriptomic data of the 21 TCGA cohorts [ 60 ]. Another recent bioinformatic analysis has drawn a similar conclusion as us regarding the negative role of B4GALT5 in hepatocellular carcinoma (HCC) prognosis and its vitro experiments also demonstrated that the knockdown of B4GALT5 in HCC cells was able to inhibit proliferation and metastasis [ 61 ], which is consistent with our in vitro experiments conducted on OC cells. In fact, about 20 years ago, researchers have found that beta1,4-galactosyltransferase was likely to be a biomarker in the monitoring OC patients when the serum CA 125 level is normal [ 62 ].…”

Section: Discussionsupporting

confidence: 86%

A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancer

Jia

et al. 2023

J Ovarian Res

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Background Ovarian cancer (OC) is the most fatal gynaecological malignancy and has a poor prognosis. Glycosylation, the biosynthetic process that depends on specific glycosyltransferases (GTs), has recently attracted increasing importance due to the vital role it plays in cancer. In this study, we aimed to determine whether OC patients could be stratified by glycosyltransferase gene profiles to better predict the prognosis and efficiency of immune checkpoint blockade therapies (ICBs). Methods We retrieved transcriptome data across 420 OC and 88 normal tissue samples using The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, respectively. An external validation dataset containing 185 OC samples was downloaded from the Gene Expression Omnibus (GEO) database. Knockdown and pathway prediction of B4GALT5 were conducted to investigate the function and mechanism of B4GALT5 in OC proliferation, migration and invasion. Results A total of 50 differentially expressed GT genes were identified between OC and normal ovarian tissues. Two clusters were stratified by operating consensus clustering, but no significant prognostic value was observed. By applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, a 6-gene signature was built that classified OC patients in the TCGA cohort into a low- or high-risk group. Patients with high scores had a worse prognosis than those with low scores. This risk signature was further validated in an external GEO dataset. Furthermore, the risk score was an independent risk predictor, and a nomogram was created to improve the accuracy of prognostic classification. Notably, the low-risk OC patients exhibited a higher degree of antitumor immune cell infiltration and a superior response to ICBs. B4GALT5, one of six hub genes, was identified as a regulator of proliferation, migration and invasion in OC. Conclusion Taken together, we established a reliable GT-gene-based signature to predict prognosis, immune status and identify OC patients who would benefit from ICBs. GT genes might be a promising biomarker for OC progression and a potential therapeutic target for OC.

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Section: Discussionsupporting

confidence: 86%

A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancer

Jia

et al. 2023

J Ovarian Res

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“…miR-491-5p promotes the progression of acute myeloid leukemia by regulating the expression of B4GALT5 and the PI3K/AKT signaling pathway. The increased mRNA and protein levels of B4GALT5 are associated with poor prognosis for hepatocellular carcinoma, ovarian cancer, cervical cancer and other cancers [ 32 , 33 , 34 , 35 ]. In patients with pancreatic cancer, we discovered that increased B4GALT5 expression was substantially correlated with shorter overall survival.…”

Section: Discussionmentioning

confidence: 99%

Circadian Genes MBOAT2/CDA/LPCAT2/B4GALT5 in the Metabolic Pathway Serve as New Biomarkers of PACA Prognosis and Immune Infiltration

Wang

Zhou

et al. 2023

Life

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Pancreatic cancer (PACA) is a highly malignant tumor with a poor prognosis. Recent studies have discovered substantial differences in the expression levels of several circadian genes in PACA samples compared to normal samples. The goal of this research was to find differentially expressed rhythm genes (DERGs) in PACA samples and determine their role in the development of PACA. A total of 299 DERGs were identified in PACA, including 134 downregulated genes and 165 upregulated genes. DERGs were significantly abundant in the metabolic pathway and immune response pathways, according to GO and KEGG analyses. Survival analyses showed that PACA patients who had higher expression levels of MBOAT2/CDA/LPCAT2/B4GALT5 had shorter overall survival times. Using cell assay verification, the mRNA levels of MBOAT2/CDA/LPCAT2/B4GALT5 in Patu-8988 and PNAC-1 cells were found to be significantly higher than those in HPDE6-C7 cells, which was in line with previous studies on PACA patient data. Through conducting univariate Cox analysis, it was determined that MBOAT2/CDA/LPCAT2/B4GALT5 expression, age and grade were all high-risk factors. The MBOAT2/CDA/LPCAT2/B4GALT5 genes were independently correlated with overall survival, according to the multivariate Cox analysis. The proportion of immune cells in PACA and normal samples significantly changed, according to the immune infiltration analysis. Furthermore, MBOAT2/CDA/LPCAT2/B4GALT5 expression levels were significantly related to the level of immune cell infiltration. The protein–protein interaction network of the MBOAT2/CDA/LPCAT2/B4GALT5 genes included 54 biological nodes and 368 interacting genes. In conclusion, the finding of these DERGs adds to the investigation of the molecular processes underlying the onset and progression of PACA. In the future, DERGs may serve as prognostic and diagnostic biomarkers as well as drug targets for chronotherapy in PACA patients.

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“…Malignant transformation is highly associated with aberrant glycosylation [ 25 ]. Previous studies have found that glycosylation-related genes are associated with the prognosis of patients with breast [ 26 ], ovarian [ 27 ], liver [ 28 ] and cervical cancer [ 29 ]. However, current studies on glycation in PC mainly focus on the influence of individual glycation type or single glycation enzyme on tumor progression [ 30 , 31 ], and there are no relevant reports on the expression status of numerous glycation related genes in PC and their relationship with PC microenvironment [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Comprehensive prognostic and immune analysis of a glycosylation related risk model in pancreatic cancer

Liu,

Shi,

Tian

et al. 2023

BMC Cancer

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Background Pancreatic cancer (PC) is a malignant tumor with extremely poor prognosis, exhibiting resistance to chemotherapy and immunotherapy. Nowadays, it is ranked as the third leading cause of cancer-related mortality. Glycation is a common epigenetic modification that occurs during the tumor transformation. Many studies have demonstrated a strong correlation between glycation modification and tumor progression. However, the expression status of glycosylation-related genes (GRGs) in PC and their potential roles in PC microenvironment have not been extensively investigated. Method We systematically integrated RNA sequencing data and clinicopathological parameters of PC patients from TCGA and GTEx databases. A GRGs risk model based on glycosylation related genes was constructed and validated in 60 patients from Pancreatic biobank via RT-PCR. R packages were used to analyze the relationships between GRGs risk scores and overall survival (OS), tumor microenvironment, immune checkpoint, chemotherapy drug sensitivity and tumor mutational load in PC patients. Panoramic analysis was performed on PC tissues. The function of B3GNT8 in PC was detected via in vitro experiments. Results In this study, we found close correlations between GRGs risk model and PC patients’ overall survival and tumor microenvironment. Multifaceted predictions demonstrated the low-risk cohort exhibits superior OS compared to high-risk counterparts. Meanwhile, the low-risk group was characterized by high immune infiltration and may be more sensitive to immunotherapy or chemotherapy. Panoramic analysis was further confirmed a significant relationship between the GRGs risk score and both the distribution of PC tumor cells as well as CD8 + T cell infiltration. In addition, we also identified a unique glycosylation gene B3GNT8, which could suppress PC progression in vitro and in vivo. Conclusion We established a GRGs risk model, which could predict prognosis and immune infiltration in PC patients. This risk model may provide a new tool for PC precision treatment.

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B4GALT5 high expression associated with poor prognosis of hepatocellular carcinoma

Cited by 12 publications

References 44 publications

A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancer

A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancer

Circadian Genes MBOAT2/CDA/LPCAT2/B4GALT5 in the Metabolic Pathway Serve as New Biomarkers of PACA Prognosis and Immune Infiltration

Comprehensive prognostic and immune analysis of a glycosylation related risk model in pancreatic cancer

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