Comprehensive Analysis of FOXO1 as a Tumour Suppressor Biomarker Related to Immune Infiltration and Cell Proliferation of Hepatocellular Carcinoma

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Senzhe Xia, Xueqian Qin, Chenggeng Pan, Dingwei Fan, Daqing Yang
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Abstract

Hepatocellular carcinoma (HCC) is a cancer with high morbidity and mortality, and effective biomarkers for indicating prognosis and treatment have still not been fully investigated. Forkhead box O1 (FOXO1), as a crucial transcription factor, its role remains to be elucidated in HCC. Herein, by combining bioinformatics techniques and basic experiments, the expression and function of FOXO1 in HCC were preliminarily explored. The expression profile, prognostic analysis, mutation landscape, immune infiltration abundance and tumour stemness index of FOXO1 were determined in TCGA and GEO databases. Moreover, a FOXO1-related nomogram was constructed and validated in the HCC cohort. Ultimately, the expression and function of FOXO1 in HCC were verified through basic experiments, such as western blotting, RT-qPCR, immunohistochemical analysis, CCK8 assay and clone formation assay. The expression of FOXO1 was decreased and was associated with a favourable prognosis in majority of cancers. Mutation landscapes of FOXO1 in various cancers were described and revealed the significant association between FOXO1 expression and TMB/MSI. A FOXO1-based Nomogram was constructed and verified in HCC cohort. The expression and function of FOXO1 were closely related to the HCC immune microenvironment. Moreover, there was a negative correlation between the FOXO1 expression and tumour stemness index. Finally, the expression pattern of FOXO1 in HCC and its association with tumour proliferation ability were verified through basic experiments. FOXO1 was identified to regulate the immune microenvironment and the tumour proliferation ability in HCC, demonstrating its potential as a therapeutic target for HCC.

Abstract Image

FOXO1作为肝癌免疫浸润和细胞增殖相关肿瘤抑制生物标志物的综合分析
肝细胞癌(hepatellular carcinoma, HCC)是一种高发病率和死亡率的癌症,目前尚未发现有效的预后和治疗生物标志物。叉头盒O1 (FOXO1)作为一个至关重要的转录因子,其在HCC中的作用仍有待阐明。本文通过结合生物信息学技术和基础实验,对FOXO1在HCC中的表达和功能进行初步探讨。在TCGA和GEO数据库中检测fox01的表达谱、预后分析、突变格局、免疫浸润丰度和肿瘤干性指数。此外,在HCC队列中构建并验证了fox01相关nomogram。最终通过western blotting、RT-qPCR、免疫组化分析、CCK8实验、克隆形成实验等基础实验验证FOXO1在HCC中的表达及功能。FOXO1的表达降低,并与大多数癌症的良好预后相关。研究人员描述了FOXO1在各种癌症中的突变格局,并揭示了FOXO1表达与TMB/MSI之间的显著关联。在HCC队列中构建并验证了基于fox01的Nomogram。FOXO1的表达和功能与HCC免疫微环境密切相关。FOXO1的表达与肿瘤干性指数呈负相关。最后,通过基础实验验证FOXO1在HCC中的表达模式及其与肿瘤增殖能力的关系。FOXO1在HCC中调节免疫微环境和肿瘤增殖能力,显示其作为HCC治疗靶点的潜力。
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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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