Development and validation of a gastric cancer prognostic model utilizing lymphatic endothelial cell-related genes.

IF 2.3 3区 医学 Q2 PATHOLOGY
Sijie Sun, Jieyun Zhang, Weijian Guo
{"title":"Development and validation of a gastric cancer prognostic model utilizing lymphatic endothelial cell-related genes.","authors":"Sijie Sun, Jieyun Zhang, Weijian Guo","doi":"10.1186/s13000-025-01683-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Gastric cancer is one of the most common cancers worldwide, with its prognosis influenced by factors such as tumor clinical stage, histological type, and the patient's overall health. Recent studies highlight the critical role of lymphatic endothelial cells (LECs) in the tumor microenvironment. Perturbations in LEC function in gastric cancer, marked by aberrant activation or damage, disrupt lymphatic fluid dynamics and impede immune cell infiltration, thereby modulating tumor progression and patient prognosis. Hence, we aimed to construct a prognostically discriminative model group in LECs-related factors.</p><p><strong>Methods: </strong>Gene expression and clinical data of gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Fudan University Shanghai Cancer Center (FUSCC). Using the Wilcoxon test, we assessed the relationship between LECs, angiogenesis, and the immunological milieu. Differentially expressed and prognostically significant LEC-associated genes were identified through \"limma\" R package-assisted analysis coupled with univariate Cox analysis. A prognostic model was developed, and LEC-associated gene signatures were refined through least absolute shrinkage and selection operator (LASSO)-Cox regression. Subsequently, the prognostic potential of this model was evaluated using ROC (receiver operating characteristic) curve analysis, Kaplan-Meier survival curve analysis and decision curve analysis (DCA).</p><p><strong>Results: </strong>LECs exhibited association with angiogenesis, immune cell infiltration, immune escape, and epithelial-mesenchymal transition (EMT). Utilizing an 18-gene signature, gastric cancer patients from TCGA and GEO cohorts were stratified into high- risk and low-risk groups, with the former showing significantly poorer overall survival. Leveraging this gene signature, we designed a LECs-related gastric cancer prognostic model, demonstrating superior performance indicated by the area under the ROC curve (AUC) compared to existing models. Moreover, the nomogram and DCA underscored the clinical utility of our model in predicting the prognosis of GC patients.</p><p><strong>Conclusions: </strong>Our prognostic signature, based on 18 LECs-related genes, holds promise for refining overall survival prediction in gastric cancer patients, offering a valuable tool for clinical decision-making.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":11237,"journal":{"name":"Diagnostic Pathology","volume":"20 1","pages":"103"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12418689/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostic Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13000-025-01683-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Gastric cancer is one of the most common cancers worldwide, with its prognosis influenced by factors such as tumor clinical stage, histological type, and the patient's overall health. Recent studies highlight the critical role of lymphatic endothelial cells (LECs) in the tumor microenvironment. Perturbations in LEC function in gastric cancer, marked by aberrant activation or damage, disrupt lymphatic fluid dynamics and impede immune cell infiltration, thereby modulating tumor progression and patient prognosis. Hence, we aimed to construct a prognostically discriminative model group in LECs-related factors.

Methods: Gene expression and clinical data of gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Fudan University Shanghai Cancer Center (FUSCC). Using the Wilcoxon test, we assessed the relationship between LECs, angiogenesis, and the immunological milieu. Differentially expressed and prognostically significant LEC-associated genes were identified through "limma" R package-assisted analysis coupled with univariate Cox analysis. A prognostic model was developed, and LEC-associated gene signatures were refined through least absolute shrinkage and selection operator (LASSO)-Cox regression. Subsequently, the prognostic potential of this model was evaluated using ROC (receiver operating characteristic) curve analysis, Kaplan-Meier survival curve analysis and decision curve analysis (DCA).

Results: LECs exhibited association with angiogenesis, immune cell infiltration, immune escape, and epithelial-mesenchymal transition (EMT). Utilizing an 18-gene signature, gastric cancer patients from TCGA and GEO cohorts were stratified into high- risk and low-risk groups, with the former showing significantly poorer overall survival. Leveraging this gene signature, we designed a LECs-related gastric cancer prognostic model, demonstrating superior performance indicated by the area under the ROC curve (AUC) compared to existing models. Moreover, the nomogram and DCA underscored the clinical utility of our model in predicting the prognosis of GC patients.

Conclusions: Our prognostic signature, based on 18 LECs-related genes, holds promise for refining overall survival prediction in gastric cancer patients, offering a valuable tool for clinical decision-making.

Clinical trial number: Not applicable.

利用淋巴内皮细胞相关基因的胃癌预后模型的建立和验证。
背景:胃癌是世界范围内最常见的肿瘤之一,其预后受肿瘤临床分期、组织学类型及患者整体健康状况等因素的影响。最近的研究强调淋巴内皮细胞(LECs)在肿瘤微环境中的关键作用。胃癌中LEC功能的紊乱,表现为异常激活或损伤,破坏淋巴流体动力学,阻碍免疫细胞浸润,从而调节肿瘤进展和患者预后。因此,我们的目的是在lecs相关因素中建立一个预后判别模型组。方法:从癌症基因组图谱(TCGA)、基因表达图谱(GEO)和复旦大学上海肿瘤中心(FUSCC)获取胃癌患者的基因表达和临床资料。使用Wilcoxon检验,我们评估了lec、血管生成和免疫环境之间的关系。差异表达和预后显著的lec相关基因通过“limma”R包辅助分析结合单变量Cox分析进行鉴定。建立了预后模型,并通过最小绝对收缩和选择算子(LASSO)-Cox回归对lec相关基因特征进行了细化。随后,采用ROC(受试者工作特征)曲线分析、Kaplan-Meier生存曲线分析和决策曲线分析(DCA)对该模型的预后潜力进行评估。结果:LECs与血管生成、免疫细胞浸润、免疫逃逸和上皮-间质转化(EMT)有关。利用18个基因标记,将TCGA和GEO队列的胃癌患者分为高风险组和低风险组,前者的总生存率明显较低。利用这一基因特征,我们设计了一个lecs相关的胃癌预后模型,与现有模型相比,ROC曲线下面积(AUC)显示出优越的性能。此外,nomogram和DCA强调了我们的模型在预测胃癌患者预后方面的临床应用价值。结论:我们基于18个lecs相关基因的预后标记有望改善胃癌患者的总体生存预测,为临床决策提供有价值的工具。临床试验号:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Diagnostic Pathology
Diagnostic Pathology 医学-病理学
CiteScore
4.60
自引率
0.00%
发文量
93
审稿时长
1 months
期刊介绍: Diagnostic Pathology is an open access, peer-reviewed, online journal that considers research in surgical and clinical pathology, immunology, and biology, with a special focus on cutting-edge approaches in diagnostic pathology and tissue-based therapy. The journal covers all aspects of surgical pathology, including classic diagnostic pathology, prognosis-related diagnosis (tumor stages, prognosis markers, such as MIB-percentage, hormone receptors, etc.), and therapy-related findings. The journal also focuses on the technological aspects of pathology, including molecular biology techniques, morphometry aspects (stereology, DNA analysis, syntactic structure analysis), communication aspects (telecommunication, virtual microscopy, virtual pathology institutions, etc.), and electronic education and quality assurance (for example interactive publication, on-line references with automated updating, etc.).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信