A Golgi apparatus‑related subtype and risk signature predicts prognosis and evaluates immunotherapy response in gastric cancer.

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Discover. Oncology Pub Date : 2025-01-22 DOI:10.1007/s12672-025-01827-6
Ruyue Chen, Zengwu Yao, Lixin Jiang, Jinchen Hu
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Abstract

Background: Gastric cancer (GC) remains a significant health burden, calling for the discovery of novel biomarkers. Golgi apparatus, a crucial cellular organelle involved in tumorigenesis, remains underexplored in GC research. A comprehensive understanding of its role and associated mechanisms is urgently needed.

Materials and methods: Utilizing the TCGA-STAD dataset as the training cohort and GSE84433 as the validation cohort, we explored potential associations between Golgi apparatus-related genes (GARG) and GC clinical risk. We aimed to decipher the prognostic significance and underlying biological mechanisms of these genes via consistent clustering, differential expression analysis, enrichment analyses, and immune infiltration profiling. To assess the relationship between risk stratification and survival outcomes, drug sensitivity, and immune infiltration, we developed the Golgi Apparatus-Related Risk Signature (GARRS). The reliability of GARRS was further corroborated using immunohistochemical staining.

Results: Consensus clustering based on 17 GARG identified two patient subgroups, C1 and C2, exhibiting differential survival, immune scores, and immune cell infiltration. We developed a GARRS using Cox-Lasso regression analysis, accurately stratifying patients into high- and low-risk groups. GARRS' validity was confirmed in the validation set and immunohistochemical staining. Our findings underline the Golgi apparatus' significance in the GC immune microenvironment and GARRS' utility in predicting GC survival outcomes.

Conclusion: This study underscores the association between Golgi apparatus subtypes and GC immunotumor microenvironment. GARRS, validated for its prognostic, immune infiltration, and drug sensitivity predictive abilities, offers new insights into gastric cancer treatment strategies.

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高尔基体相关亚型和风险标志预测胃癌的预后和评估免疫治疗反应。
背景:胃癌(GC)仍然是一个重要的健康负担,需要发现新的生物标志物。高尔基体是参与肿瘤发生的重要细胞器,在GC研究中尚未得到充分的探索。迫切需要全面了解其作用和相关机制。材料和方法:利用TCGA-STAD数据集作为训练队列,GSE84433作为验证队列,我们探讨了高尔基器械相关基因(GARG)与GC临床风险之间的潜在关联。我们旨在通过一致的聚类分析、差异表达分析、富集分析和免疫浸润分析来破译这些基因的预后意义和潜在的生物学机制。为了评估风险分层与生存结果、药物敏感性和免疫浸润之间的关系,我们开发了高尔基器械相关风险特征(GARRS)。免疫组织化学染色进一步证实了GARRS的可靠性。结果:基于17 GARG的共识聚类确定了两个患者亚组,C1和C2,表现出不同的生存、免疫评分和免疫细胞浸润。我们使用Cox-Lasso回归分析开发了GARRS,准确地将患者分为高危组和低危组。验证集和免疫组化染色证实了GARRS的有效性。我们的研究结果强调了高尔基体在胃癌免疫微环境中的重要性以及GARRS在预测胃癌生存结果方面的实用性。结论:本研究强调高尔基体亚型与GC免疫肿瘤微环境的相关性。GARRS因其预后、免疫浸润和药物敏感性预测能力而得到验证,为胃癌治疗策略提供了新的见解。
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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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