{"title":"糖基转移酶相关基因的综合分析揭示了其在胃腺癌中的预后和治疗意义。","authors":"Guizhen Lyu, Dongbing Li","doi":"10.2174/0113892037388672250728071209","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This study aimed to investigate the role of glycosyltransferase-related genes (GRGs) in stomach adenocarcinoma (STAD) through bioinformatic analysis and experimental validation, exploring their potential as prognostic and therapeutic biomarkers.</p><p><strong>Methods: </strong>We utilized datasets from TCGA-STAD and GSE26901 to establish training and validation cohorts. Prognostic gene signatures were constructed using differentially expressed genes and LASSO regression. Pathway associations were explored via Gene Set Enrichment Analysis (GSEA), and correlations with immune cell infiltration and immune checkpoint genes were analyzed using CIBERSORT, ESTIMATE, and TIDE. Drug sensitivity was assessed using Onco- Predict, and GRG expression was confirmed via qRT-PCR.</p><p><strong>Results: </strong>We identified 20 GRGs as prognostic indicators in STAD, with 14 showing abnormal expression. A six-gene signature (B3GAT3, FUT2, GALNT15, GLT8D1, MGAT4C, and ST8SIA6) was constructed, demonstrating AUC values of 0.662, 0.702, and 0.711 in TCGASTAD for predicting overall survival at 1, 3, and 5 years, respectively. The risk score was significantly associated with reduced survival and identified as an independent prognostic marker. The GRG profile was found to be correlated with immune cell infiltration, immune checkpoint genes, and drug responsiveness.</p><p><strong>Discussion: </strong>The study highlights the significance of GRGs in STAD prognosis and potential therapeutic applications. The GRG signature shows promise as a predictive biomarker, with implications for personalized medicine. Limitations include modest AUC values and the need for larger, diverse cohorts for validation. Future work should integrate multi-omics data and explore the roles of GRGs in immune modulation and drug sensitivity.</p><p><strong>Conclusion: </strong>The GRG profile serves as a prognostic biomarker for STAD, offering new insights into therapeutic approaches and potential applications in other gastrointestinal cancers.</p>","PeriodicalId":10859,"journal":{"name":"Current protein & peptide science","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive Analysis of Glycosyltransferase-Related Genes Reveals their Prognostic and Therapeutic Implications in Stomach Adenocarcinoma.\",\"authors\":\"Guizhen Lyu, Dongbing Li\",\"doi\":\"10.2174/0113892037388672250728071209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>This study aimed to investigate the role of glycosyltransferase-related genes (GRGs) in stomach adenocarcinoma (STAD) through bioinformatic analysis and experimental validation, exploring their potential as prognostic and therapeutic biomarkers.</p><p><strong>Methods: </strong>We utilized datasets from TCGA-STAD and GSE26901 to establish training and validation cohorts. Prognostic gene signatures were constructed using differentially expressed genes and LASSO regression. Pathway associations were explored via Gene Set Enrichment Analysis (GSEA), and correlations with immune cell infiltration and immune checkpoint genes were analyzed using CIBERSORT, ESTIMATE, and TIDE. Drug sensitivity was assessed using Onco- Predict, and GRG expression was confirmed via qRT-PCR.</p><p><strong>Results: </strong>We identified 20 GRGs as prognostic indicators in STAD, with 14 showing abnormal expression. A six-gene signature (B3GAT3, FUT2, GALNT15, GLT8D1, MGAT4C, and ST8SIA6) was constructed, demonstrating AUC values of 0.662, 0.702, and 0.711 in TCGASTAD for predicting overall survival at 1, 3, and 5 years, respectively. The risk score was significantly associated with reduced survival and identified as an independent prognostic marker. The GRG profile was found to be correlated with immune cell infiltration, immune checkpoint genes, and drug responsiveness.</p><p><strong>Discussion: </strong>The study highlights the significance of GRGs in STAD prognosis and potential therapeutic applications. The GRG signature shows promise as a predictive biomarker, with implications for personalized medicine. Limitations include modest AUC values and the need for larger, diverse cohorts for validation. Future work should integrate multi-omics data and explore the roles of GRGs in immune modulation and drug sensitivity.</p><p><strong>Conclusion: </strong>The GRG profile serves as a prognostic biomarker for STAD, offering new insights into therapeutic approaches and potential applications in other gastrointestinal cancers.</p>\",\"PeriodicalId\":10859,\"journal\":{\"name\":\"Current protein & peptide science\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current protein & peptide science\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.2174/0113892037388672250728071209\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protein & peptide science","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.2174/0113892037388672250728071209","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Comprehensive Analysis of Glycosyltransferase-Related Genes Reveals their Prognostic and Therapeutic Implications in Stomach Adenocarcinoma.
Introduction: This study aimed to investigate the role of glycosyltransferase-related genes (GRGs) in stomach adenocarcinoma (STAD) through bioinformatic analysis and experimental validation, exploring their potential as prognostic and therapeutic biomarkers.
Methods: We utilized datasets from TCGA-STAD and GSE26901 to establish training and validation cohorts. Prognostic gene signatures were constructed using differentially expressed genes and LASSO regression. Pathway associations were explored via Gene Set Enrichment Analysis (GSEA), and correlations with immune cell infiltration and immune checkpoint genes were analyzed using CIBERSORT, ESTIMATE, and TIDE. Drug sensitivity was assessed using Onco- Predict, and GRG expression was confirmed via qRT-PCR.
Results: We identified 20 GRGs as prognostic indicators in STAD, with 14 showing abnormal expression. A six-gene signature (B3GAT3, FUT2, GALNT15, GLT8D1, MGAT4C, and ST8SIA6) was constructed, demonstrating AUC values of 0.662, 0.702, and 0.711 in TCGASTAD for predicting overall survival at 1, 3, and 5 years, respectively. The risk score was significantly associated with reduced survival and identified as an independent prognostic marker. The GRG profile was found to be correlated with immune cell infiltration, immune checkpoint genes, and drug responsiveness.
Discussion: The study highlights the significance of GRGs in STAD prognosis and potential therapeutic applications. The GRG signature shows promise as a predictive biomarker, with implications for personalized medicine. Limitations include modest AUC values and the need for larger, diverse cohorts for validation. Future work should integrate multi-omics data and explore the roles of GRGs in immune modulation and drug sensitivity.
Conclusion: The GRG profile serves as a prognostic biomarker for STAD, offering new insights into therapeutic approaches and potential applications in other gastrointestinal cancers.
期刊介绍：
Current Protein & Peptide Science publishes full-length/mini review articles on specific aspects involving proteins, peptides, and interactions between the enzymes, the binding interactions of hormones and their receptors; the properties of transcription factors and other molecules that regulate gene expression; the reactions leading to the immune response; the process of signal transduction; the structure and function of proteins involved in the cytoskeleton and molecular motors; the properties of membrane channels and transporters; and the generation and storage of metabolic energy. In addition, reviews of experimental studies of protein folding and design are given special emphasis. Manuscripts submitted to Current Protein and Peptide Science should cover a field by discussing research from the leading laboratories in a field and should pose questions for future studies. Original papers, research articles and letter articles/short communications are not considered for publication in Current Protein & Peptide Science.
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