{"title":"通过综合生物信息学分析鉴定GALNT12作为食管鳞状细胞癌新的潜在诊断和预后标志物。","authors":"Zhaowei Chen, Lili Kang, Zhenze Yang, Yaoqing Cai, Shuyong Yu, Ping Li, Jian Song","doi":"10.1159/000546092","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Esophageal squamous cell carcinoma (ESCC) is a highly fatal cancer with unclear molecular underpinnings. This study utilized bioinformatics to uncover key genes and pathways associated with ESCC and to identify prognostic markers.</p><p><strong>Methods: </strong>We identified the differentially expressed genes (DEGs) using three datasets (GSE53625, GSE67269, and GSE23400-GPL96). Meanwhile, Weighted gene co-expression network analysis (WGCNA) constructed gene co-expression networks based on the GSE23400-GLP97 dataset. Machine-learning algorithms further identified the most critical genes. Additionally, we validated the expression and diagnostic potential of the hub genes using the GSE161533 and GSE38129 datasets. Survival analysis and Gene Set Enrichment Analysis (GSEA) revealed the prognostic value and potential functions of the hub genes, respectively.</p><p><strong>Results: </strong>The study identified 240 DGEs (103 upregulated and 137 downregulated). Concurrently, WGCNA pinpointed 209 genes associated with ESCC. Subsequently, machine-learning algorithms identify four hub genes, including KIF14, GALNT12, MGLL, and EMP1. Moreover, their expression differences and potential as diagnostic biomarkers for ESCC were validated. Survival analysis indicated that elevated GALNT12 expression was associated with a poor prognosis of ESCC patients. GSEA delineated the involvement of GALNT12 in critical biological pathways.</p><p><strong>Conclusions: </strong>Our results identified GALNT12 as a novel potential diagnostic and prognostic marker for ESCC.</p>","PeriodicalId":11315,"journal":{"name":"Digestion","volume":" ","pages":"1-18"},"PeriodicalIF":3.0000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of GALNT12 as a Novel Potential Diagnostic and Prognostic Marker for Esophageal Squamous Cell Carcinoma by Integrated Bioinformatics Analysis.\",\"authors\":\"Zhaowei Chen, Lili Kang, Zhenze Yang, Yaoqing Cai, Shuyong Yu, Ping Li, Jian Song\",\"doi\":\"10.1159/000546092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Esophageal squamous cell carcinoma (ESCC) is a highly fatal cancer with unclear molecular underpinnings. This study utilized bioinformatics to uncover key genes and pathways associated with ESCC and to identify prognostic markers.</p><p><strong>Methods: </strong>We identified the differentially expressed genes (DEGs) using three datasets (GSE53625, GSE67269, and GSE23400-GPL96). Meanwhile, Weighted gene co-expression network analysis (WGCNA) constructed gene co-expression networks based on the GSE23400-GLP97 dataset. Machine-learning algorithms further identified the most critical genes. Additionally, we validated the expression and diagnostic potential of the hub genes using the GSE161533 and GSE38129 datasets. Survival analysis and Gene Set Enrichment Analysis (GSEA) revealed the prognostic value and potential functions of the hub genes, respectively.</p><p><strong>Results: </strong>The study identified 240 DGEs (103 upregulated and 137 downregulated). Concurrently, WGCNA pinpointed 209 genes associated with ESCC. Subsequently, machine-learning algorithms identify four hub genes, including KIF14, GALNT12, MGLL, and EMP1. Moreover, their expression differences and potential as diagnostic biomarkers for ESCC were validated. Survival analysis indicated that elevated GALNT12 expression was associated with a poor prognosis of ESCC patients. GSEA delineated the involvement of GALNT12 in critical biological pathways.</p><p><strong>Conclusions: </strong>Our results identified GALNT12 as a novel potential diagnostic and prognostic marker for ESCC.</p>\",\"PeriodicalId\":11315,\"journal\":{\"name\":\"Digestion\",\"volume\":\" \",\"pages\":\"1-18\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digestion\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000546092\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digestion","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000546092","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
Identification of GALNT12 as a Novel Potential Diagnostic and Prognostic Marker for Esophageal Squamous Cell Carcinoma by Integrated Bioinformatics Analysis.
Background: Esophageal squamous cell carcinoma (ESCC) is a highly fatal cancer with unclear molecular underpinnings. This study utilized bioinformatics to uncover key genes and pathways associated with ESCC and to identify prognostic markers.
Methods: We identified the differentially expressed genes (DEGs) using three datasets (GSE53625, GSE67269, and GSE23400-GPL96). Meanwhile, Weighted gene co-expression network analysis (WGCNA) constructed gene co-expression networks based on the GSE23400-GLP97 dataset. Machine-learning algorithms further identified the most critical genes. Additionally, we validated the expression and diagnostic potential of the hub genes using the GSE161533 and GSE38129 datasets. Survival analysis and Gene Set Enrichment Analysis (GSEA) revealed the prognostic value and potential functions of the hub genes, respectively.
Results: The study identified 240 DGEs (103 upregulated and 137 downregulated). Concurrently, WGCNA pinpointed 209 genes associated with ESCC. Subsequently, machine-learning algorithms identify four hub genes, including KIF14, GALNT12, MGLL, and EMP1. Moreover, their expression differences and potential as diagnostic biomarkers for ESCC were validated. Survival analysis indicated that elevated GALNT12 expression was associated with a poor prognosis of ESCC patients. GSEA delineated the involvement of GALNT12 in critical biological pathways.
Conclusions: Our results identified GALNT12 as a novel potential diagnostic and prognostic marker for ESCC.
期刊介绍：
''Digestion'' concentrates on clinical research reports: in addition to editorials and reviews, the journal features sections on Stomach/Esophagus, Bowel, Neuro-Gastroenterology, Liver/Bile, Pancreas, Metabolism/Nutrition and Gastrointestinal Oncology. Papers cover physiology in humans, metabolic studies and clinical work on the etiology, diagnosis, and therapy of human diseases. It is thus especially cut out for gastroenterologists employed in hospitals and outpatient units. Moreover, the journal''s coverage of studies on the metabolism and effects of therapeutic drugs carries considerable value for clinicians and investigators beyond the immediate field of gastroenterology.
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