摘要： 目的 基于数据库分析剪接因子SRSF11在胃癌中的表达及其与临床病理特征、预后的关系，并探讨相关机制。方法 基于癌症基因组图谱（TCGA）、基因表达综合（GEO）数据库分析SRSF11在胃癌中的表达情况；利用UALCAN、KM Plotter评估SRSF11表达与临床病理特征、预后的关系；利用TIMER工具分析SRSF11表达对肿瘤微环境免疫细胞浸润的影响；结合TCGA spliceseq中可变剪接数据和RNA-seq数据分析SRSF11调控的可变剪接事件和基因，并对靶基因进行基因本体论（GO）和京都基因和基因组百科全书（KEGG）富集分析。结果 胃癌组织中SRSF11表达明显上调（P < 0.05），且与患者淋巴结转移和TP53基因突变有关（P < 0.05）；SRSF11高表达与胃癌患者预后不良相关（P < 0.001）；SRSF11表达可影响胃癌中多种免疫细胞的浸润水平，巨噬细胞高浸润量与患者预后不良相关（P < 0.05）；靶基因KEGG富集分析显示主要参与病毒感染、溶酶体、三磷酸腺苷结合盒转运体和肿瘤相关信号通路等。结论 SRSF11在胃癌组织中呈现高表达，且与不良预后和免疫浸润相关。SRSF11有望成为胃癌诊断、预后评估和治疗的新靶点。

基于生物信息学分析剪接因子SRSF11在胃癌中的表达及临床意义

喻莹¹, 刘玉婷¹, 黎桂珍², 梁景皓², 李彬彬¹

1. 广东医科大学基础医学院病理生理学教研室, 广东 东莞 523808;
2. 广东医科大学基础医学院生物技术系, 广东 东莞 523808

收稿日期:2022-06-20出版日期:2023-04-30发布日期:2023-04-15
通讯作者:李彬彬E-mail:libinbin1022@126.com
作者简介:喻莹(1995-),女,硕士研究生.
基金资助:国家自然科学基金（81502411）；广东省自然科学基金（2023A1515010448）；广东省大学生创新创业训练计划项目（S202110571091，S202210571047）


关键词: 胃癌, SRSF11, 可变剪接, 生物信息学
Abstract: Objective To analyze the expression of the splicing factor SRSF11 and its relationship with clinicopathological features and prognosis in stomach adenocarcinoma (STAD) and further explore its related mechanism. Methods SRSF11 expression in STAD and other tumors was analyzed using the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus databases. The relationships between SRSF11 expression, clinicopathological features, and prognosis were evaluated using UALCAN and Kaplan-Meier plotters. TIMER was used to analyze the effects of SRSF11 expression on immune cell infiltration. Alternative splicing (AS) events and genes regulated by SRSF11 were explored by combining RNA-seq data with AS data from the TCGA spliceseq database. Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis for related genes were performed using the online tool, Metascape. Results Analysis of multiple datasets showed that the expression of SRSF11 was significantly upregulated in STAD (P < 0.05) and was related to lymph node metastasis and TP53 gene mutation (P < 0.05). Higher expression of SRSF11 was associated with poor prognosis in patients (P < 0.001). SRSF11 expression affected the prevalence of tumor-infiltrating immune cells, and a higher level of macrophage infiltration was associated with poor prognosis in patients (P < 0.05). KEGG enrichment analysis showed that SRSF11-regulated AS genes were mainly involved in viral infection, lysosomes, ATP binding cassette transporters, and tumor-related signaling pathways. Conclusion SRSF11 expression is upregulated and associated with poor prognosis and immune infiltration in STAD. SRSF11 is expected to be a new target for the diagnosis, prognostic evaluation, and treatment of STAD.
Key words: stomach adenocarcinoma, SRSF11, alternative splicing, bioinformatics
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