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细胞外基质相关基因对食管癌肿瘤微环境和预后指标的影响:一项全面的分析研究。

Impact of Extracellular Matrix-Related Genes on the Tumor Microenvironment and Prognostic Indicators in Esophageal Cancer: A Comprehensive Analytical Study.

机构信息

The Second People's Hospital of Jingdezhen, Jingdezhen 333000, Jiangxi, China.

出版信息

Genet Res (Camb). 2024 Jul 25;2024:3577395. doi: 10.1155/2024/3577395. eCollection 2024.

Abstract

Esophageal cancer is a major global health challenge with a poor prognosis. Recent studies underscore the extracellular matrix (ECM) role in cancer progression, but the full impact of ECM-related genes on patient outcomes remains unclear. Our study utilized next-generation sequencing and clinical data from esophageal cancer patients provided by The Cancer Genome Atlas, employing the R package in RStudio for computational analysis. This analysis identified significant associations between patient survival and various ECM-related genes, including IBSP, LINGO4, COL26A1, MMP12, KLK4, RTBDN, TENM1, GDF15, and RUNX1. Consequently, we developed a prognostic model to predict patient outcomes, which demonstrated clear survival differences between high-risk and low-risk patient groups. Our comprehensive review encompassed clinical correlations, biological pathways, and variations in immune response among these risk categories. We also constructed a nomogram integrating clinical information with risk assessment. Focusing on the TENM1 gene, we found it significantly impacts immune response, showing a positive correlation with T helper cells, NK cells, and CD8+ T cells, but a negative correlation with neutrophils and Th17 cells. Gene Set Enrichment Analysis revealed enhanced pathways related to pancreatic beta cells, spermatogenesis, apical junctions, and muscle formation in patients with high TENM1 expression. This research provides new insights into the role of ECM genes in esophageal cancer and informs future research directions.

摘要

食管癌是一个具有不良预后的全球性重大健康挑战。最近的研究强调了细胞外基质(ECM)在癌症进展中的作用,但 ECM 相关基因对患者预后的全面影响仍不清楚。我们的研究利用了下一代测序技术和癌症基因组图谱(The Cancer Genome Atlas)提供的食管癌患者的临床数据,在 RStudio 中的 R 包中进行了计算分析。该分析确定了患者生存与各种 ECM 相关基因之间存在显著关联,这些基因包括 IBSP、LINGO4、COL26A1、MMP12、KLK4、RTBDN、TENM1、GDF15 和 RUNX1。因此,我们开发了一个预测患者预后的模型,该模型清楚地显示了高危和低危患者群体之间的生存差异。我们的全面综述包括这些风险类别中的临床相关性、生物学途径和免疫反应的变化。我们还构建了一个整合临床信息和风险评估的诺莫图。我们关注 TENM1 基因,发现它显著影响免疫反应,与辅助性 T 细胞、NK 细胞和 CD8+T 细胞呈正相关,与中性粒细胞和 Th17 细胞呈负相关。基因集富集分析显示,高表达 TENM1 的患者中与胰腺β细胞、精子发生、顶端连接和肌肉形成相关的通路增强。这项研究为 ECM 基因在食管癌中的作用提供了新的见解,并为未来的研究方向提供了信息。

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