通过单细胞测序和免疫浸润分析,综合分析结直肠癌血管生成相关基因的预后指标。

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Neelam Bhola, Sameer Bhardwaj, Chanchal Bareja, Daman Saluja
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引用次数: 0

摘要

血管生成在结直肠癌(CRC)的进展中起着关键作用,与肿瘤微环境(TME)和免疫浸润密切相关。本研究旨在利用综合生物信息学和单细胞转录组学分析,鉴定结直肠癌中具有预后意义的关键血管生成相关基因(ARGs)。从三个Gene Expression Omnibus (GEO)数据集中提取526个共同差异表达基因(deg),并与MSigDB中的arg进行交叉,鉴定出18个候选基因。利用STRING数据库构建蛋白-蛋白相互作用(PPI)网络,利用Cytoscape软件提取10个枢纽基因。5个中心基因(MMP14、CXCL12、SPP1、TIMP1和VCAN)显示与较差的总生存率显著相关。使用UALCAN进行的表达分析显示,这些基因显著上调,并与肿瘤阶段特异性表达相关。利用肿瘤免疫估计资源(Tumor Immune Estimation Resource, TIMER)数据库进行免疫浸润分析,探索免疫景观。肿瘤免疫单细胞Hub2 (TISCH2)、肿瘤免疫治疗基因表达资源(TIGER)、IMMUcan scDB和单细胞TIME (scTIME)数据库揭示了这些枢纽基因在关键TME成分(包括成纤维细胞、巨噬细胞和内皮细胞)中的表达,以及它们与免疫抑制景观的联系。此外,我们发现这些中心基因的表达与免疫浸润细胞,如巨噬细胞、肌成纤维细胞和调节性T细胞(Treg)之间存在显著的正相关。值得注意的是,CXCL12和SPP1与免疫细胞募集有关,而TIMP1和MMP14与ECM重塑和髓细胞分化有关。本研究强调了ARGs与结直肠癌肿瘤进展、预后和免疫浸润的相关性,为新型治疗干预提供了潜在的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrative analysis of angiogenesis-related genes highlights prognostic indicators in colorectal cancer through single-cell sequencing and immune infiltration analysis.

Angiogenesis plays a pivotal role in colorectal cancer (CRC) progression and is closely intertwined with the tumor microenvironment (TME) and immune infiltration. This study aimed to identify key angiogenesis-related genes (ARGs) with prognostic significance in colorectal cancer using integrative bioinformatics and single-cell transcriptomic analysis. 526 common differentially expressed genes (DEGs) were extracted from three Gene Expression Omnibus (GEO) datasets and intersected with ARGs from MSigDB, resulting in identification of 18 candidate genes. A protein-protein interaction (PPI) network was constructed using the STRING database, followed by the extraction of 10 hub genes using the Cytoscape software. Five hub genes (MMP14, CXCL12, SPP1, TIMP1, and VCAN) showed significant association with poor overall survival. Expression analysis using UALCAN revealed significant upregulation of these genes, and their correlation with tumor-stage-specific expression. Utilizing the Tumor Immune Estimation Resource (TIMER) database immune infiltration analysis was carried out to explore the immune landscape. Tumor Immune Single-cell Hub2 (TISCH2), Tumor Immunotherapy Gene Expression Resource (TIGER), IMMUcan scDB and single-cell TIME (scTIME) databases revealed the expression of these hub genes in key TME components including fibroblasts, macrophages, and endothelial cells, and their link to immunosuppressive landscapes. Additionally, we discovered a substantial positive correlation between the expression of these hub genes and immune infiltration cells, such as macrophages, myofibroblasts and regulatory T cells (Treg). Notably, CXCL12 and SPP1 were implicated in immune cell recruitment, while TIMP1 and MMP14 were associated with ECM remodeling and myeloid cell differentiation. This study highlights the relevance of ARGs in tumor progression, prognosis and immune infiltration in CRC, offering potential targets for novel therapeutic interventions.

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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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