Qiu Xiaode, Quan Guangqian, Ou Wenquan, Wang Pengfei, Huang Xing, Li Xinhua, Shen Yufan, Yang Weifeng, Wang Jian, Wu Xiaohua
Department of Clinical Medicine, Fujian Medical University, Fuzhou, China.
Department of General Surgery, Affiliated Nanping First Hospital, Fujian Medical University, Nanping, China.
Front Genet. 2023 Sep 29;14:1265137. doi: 10.3389/fgene.2023.1265137. eCollection 2023.
The pathogenic genes of colorectal cancer (CRC) have not yet been fully elucidated, and there is currently a lack of effective therapeutic targets. This study used bioinformatics methods to explore and experimentally validate the most valuable biomarkers for colorectal cancer and further investigate their potential as targets. We analyzed differentially expressed genes (DEGs) based on the Gene Expression Omnibus (GEO) dataset and screened out hub genes. ROC curve and univariate Cox analysis of The Cancer Genome Atlas (TCGA) dataset revealed the most diagnostically and prognostically valuable genes. Immunohistochemistry (IHC) experiments were then conducted to validate the expression level of these selected genes in colorectal cancer. Gene set enrichment analysis (GSEA) was performed to evaluate the enriched signaling pathways associated with the gene. Using the CIBERSORT algorithm in R software, we analyzed the immune infiltrating cell abundance in both high and low gene expression groups and examined the gene's correlation with immune cells and immune checkpoints. Additionally, we performed drug sensitivity analysis utilizing the DepMap database, and explored the correlation between gene expression levels and ferroptosis based on the The Cancer Genome Atlas dataset. The study identified a total of 159 DEGs, including 7 hub genes: SPP1, MMP1, CXCL8, CXCL1, TIMP1, MMP3, and CXCL10. Further analysis revealed TIMP1 as the most valuable diagnostic and prognostic biomarker for colorectal cancer, with IHC experiments verifying its high expression. Additionally, GSEA results showed that the high TIMP1 expression group was involved in many cancer signaling pathways. Analysis of the TCGA database revealed a positive correlation between TIMP1 expression and infiltration of macrophages (M0, M1, M2) and neutrophils, as well as the expression of immune checkpoint genes, including CTLA-4 and HAVCR2. Drug sensitivity analysis, conducted using the DepMap database, revealed that colorectal cancer cell lines exhibiting elevated levels of TIMP1 expression were more responsive to certain drugs, such as CC-90003, Pitavastatin, Atuveciclib, and CT7001, compared to those with low levels of TIMP1. Furthermore, TIMP1 expression was positively correlated with that of ferroptosis-related genes, such as GPX4 and HSPA5. TIMP1 can be used as a biomarker for colorectal cancer and is associated with the immunological microenvironment, drug sensitivity, and ferroptosis inhibition in this disease.
结直肠癌(CRC)的致病基因尚未完全阐明,目前缺乏有效的治疗靶点。本研究采用生物信息学方法探索并通过实验验证结直肠癌最有价值的生物标志物,并进一步研究其作为靶点的潜力。我们基于基因表达综合数据库(GEO)数据集分析差异表达基因(DEGs),筛选出核心基因。癌症基因组图谱(TCGA)数据集的受试者工作特征(ROC)曲线和单因素Cox分析揭示了最具诊断和预后价值的基因。然后进行免疫组织化学(IHC)实验以验证这些选定基因在结直肠癌中的表达水平。进行基因集富集分析(GSEA)以评估与该基因相关的富集信号通路。使用R软件中的CIBERSORT算法,我们分析了高基因表达组和低基因表达组中的免疫浸润细胞丰度,并研究了该基因与免疫细胞和免疫检查点的相关性。此外,我们利用DepMap数据库进行药物敏感性分析,并基于TCGA数据集探索基因表达水平与铁死亡之间的相关性。该研究共鉴定出159个DEGs,包括7个核心基因:SPP1、MMP1、CXCL8、CXCL1、TIMP1、MMP3和CXCL10。进一步分析表明,TIMP1是结直肠癌最有价值的诊断和预后生物标志物,IHC实验验证了其高表达。此外,GSEA结果显示,高TIMP1表达组参与了许多癌症信号通路。对TCGA数据库的分析显示,TIMP1表达与巨噬细胞(M0、M1、M2)和中性粒细胞的浸润以及免疫检查点基因(包括CTLA-4和HAVCR2)的表达呈正相关。使用DepMap数据库进行的药物敏感性分析表明,与TIMP1低表达的结直肠癌细胞系相比,TIMP1表达水平升高的细胞系对某些药物(如CC-90003、匹伐他汀、阿图维西利和CT7001)更敏感。此外,TIMP1表达与铁死亡相关基因(如GPX4和HSPA5)的表达呈正相关。TIMP1可用作结直肠癌的生物标志物,并且与该疾病的免疫微环境、药物敏感性和铁死亡抑制相关。