FTO is Associated with Patient Prognosis and Immune Infiltrates in Gastric Cancer and Regulates TGF-β Expression.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2024-06-14 DOI:10.2174/0113862073299882240530051559
Huan Lai, Nan Hu, Miao Zhang, Weiwei Jiang, Yiqian Han, Chenxi Mao, Kangjie Zhou, Jingzhou Zhang, Yidong Hong, Fenglei Wu
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Abstract

Aims: This study aimed to examine the associations of FTO expression with prognosis, tumor microenvironment (TME), immune cell infiltration, immune checkpoint genes, and relevant signaling pathways in GC. Furthermore, the relationship between FTO and TGF-β was studied in GC.

Methods: The mRNA expression and clinical survival data of GC samples were obtained from The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA-STAD). TIMER2, TNM plot, and GEPIA database were used to analyze FTO expression. The associations of FTO with prognosis and clinicopathologic features were assessed using the Kaplan-Meier plotter and UALCAN database, respectively. The R software was employed to analyze its related signaling pathways and the associations with TME, immune cell infiltration, and immune checkpoint genes. GEPIA and ENCORI were used to examine the association of FTO with TGF-β expression. The SRAMP website was utilized to predict m6A modification of TGF-β. IHC, Western blot, and qPCR were used to analyze the expression levels of FTO and TGF-β in clinical gastric cancer tissue samples or gastric cancer cell lines. In addition, a m6A RNA methylation assay kit was used to determine m6A levels in gastric cancer cells.

Results: FTO mRNA and protein levels were significantly elevated in GC compared to normal gastric tissues. Kaplan-Meier survival analysis suggested that upregulated FTO was associated with a worse prognosis in GC. Upregulated FTO was markedly correlated with differentiation degree, lymph node metastasis, and clinical TNM stage. GO and KEGG pathway analyses revealed that FTO-associated molecules were enriched in neuroactive ligand-receptor interaction, calcium signaling, PI3k-Akt signaling, cAMP signaling pathways, and TGF-β signaling pathways, among others. The TME score was remarkably higher in the high-FTO group than in the low-FTO group. Furthermore, FTO expression had positive correlations with different types of immune cells and immune checkpoint genes. Moreover, FTO may regulate TGF-β in an m6A RNA modification manner in GC.

Conclusion: FTO may become an independent predictive prognostic biomarker correlating with TME, immune cell infiltration, and immune checkpoint genes in gastric cancer and might influence GC progression by regulating TGF-β expression.

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FTO与胃癌患者的预后和免疫浸润有关,并调控TGF-β的表达
目的:本研究旨在探讨FTO的表达与GC的预后、肿瘤微环境(TME)、免疫细胞浸润、免疫检查点基因及相关信号通路的关系。此外,还研究了 FTO 与 TGF-β 在 GC 中的关系:方法:GC样本的mRNA表达和临床生存数据来自癌症基因组图谱胃腺癌(TCGA-STAD)。利用TIMER2、TNM图谱和GEPIA数据库分析FTO的表达。利用 Kaplan-Meier plotter 和 UALCAN 数据库分别评估了 FTO 与预后和临床病理特征的关系。采用R软件分析其相关信号通路以及与TME、免疫细胞浸润和免疫检查点基因的关联。GEPIA和ENCORI用于研究FTO与TGF-β表达的关联。SRAMP 网站用于预测 TGF-β 的 m6A 修饰。利用 IHC、Western 印迹和 qPCR 分析临床胃癌组织样本或胃癌细胞系中 FTO 和 TGF-β 的表达水平。此外,还使用 m6A RNA 甲基化检测试剂盒测定胃癌细胞中的 m6A 水平:结果:与正常胃组织相比,GC 中 FTO mRNA 和蛋白水平明显升高。Kaplan-Meier生存分析表明,FTO上调与胃癌预后的恶化有关。FTO上调与分化程度、淋巴结转移和临床TNM分期明显相关。GO和KEGG通路分析显示,FTO相关分子富集于神经活性配体-受体相互作用、钙信号转导、PI3k-Akt信号转导、cAMP信号转导通路和TGF-β信号转导通路等。高 FTO 组的 TME 评分明显高于低 FTO 组。此外,FTO的表达与不同类型的免疫细胞和免疫检查点基因呈正相关。此外,FTO可能以m6A RNA修饰的方式调控GC中的TGF-β:结论:FTO可能成为胃癌中与TME、免疫细胞浸润和免疫检查点基因相关的独立预测预后的生物标志物,并可能通过调节TGF-β的表达影响胃癌的进展。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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