Identification and Characterization of Prognostic Macrophage Subpopulations for Human Esophageal Carcinoma.

IF 3.5 4区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Current medicinal chemistry Pub Date : 2025-01-01 DOI:10.2174/0109298673284207240108105724
Penghui Li, Xiaohui Gao, Di Huang, Xinyu Gu
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Abstract

Aims: The aim of the present study was to investigate the relationship between the cellular ecosystem and the progression of esophageal carcinoma (ESCA) based on the evolution of macrophages and to analyze the potential of using macrophages as a new therapeutic approach in ESCA treatment.

Background: Macrophage-based immunotherapy could be used for treating ESCA patients, but its clinical application is limited by the intra-tumor heterogeneity of macrophages.

Objective: The objective of this study was to analyze the diversity, differentiation trajectory, and intercellular communication of macrophages in ESCA and its prognostic significance.

Methods: Single-cell RNA sequencing (scRNA-seq) data in the GSE154763 dataset were downloaded from Gene Expression Omnibus (GEO) to identify cell clusters and annotate cell types using the Seurat R package. The scRNA-seq profiles of macrophages were extracted, and cluster analysis was performed to identify macrophage subsets. The differentiation trajectories of macrophage subgroups were visualized employing Monocle2. Finally, ligand-receptor pairs and communication intensity among the classified subgroups were analyzed using Cell Chat.

Results: A total of 8 cell types were identified between ESCA tissues and paracancer tissues. The most abundant macrophages in ESCA tissues were further divided into 5 cell clusters. Compared with the normal tissues, the proportion of HSPA6+ macrophages in ESCA tissues increased the most, and the number of ligand-receptor pairs that mediated the communication of HSPA6+ macrophages with mast cells and monocytes also increased significantly. More importantly, a high proportion of HSPA6+ macrophages was inversely correlated with the survival outcomes for ESCA patients.

Conclusions: This study analyzed the diversity, distribution and differentiation trajectory of macrophages in ESCA tissues at single-cell level and classified a prognostic macrophage subtype (HSPA6+ macrophages) of ESCA, providing a theoretical basis for macrophage-targeted therapy in ESCA.

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人类食管癌预后巨噬细胞亚群的鉴定和特征描述
目的:本研究旨在根据巨噬细胞的演变研究细胞生态系统与食管癌(ESCA)进展之间的关系,并分析利用巨噬细胞作为食管癌治疗新方法的潜力:背景:基于巨噬细胞的免疫疗法可用于治疗ESCA患者,但其临床应用因巨噬细胞的瘤内异质性而受到限制:本研究旨在分析ESCA中巨噬细胞的多样性、分化轨迹和细胞间通讯及其预后意义:从基因表达总库(Gene Expression Omnibus,GEO)下载GSE154763数据集中的单细胞RNA测序(scRNA-seq)数据,使用Seurat R软件包识别细胞集群并注释细胞类型。提取巨噬细胞的scRNA-seq图谱,并进行聚类分析以确定巨噬细胞亚群。巨噬细胞亚群的分化轨迹用 Monocle2 进行了可视化。最后,利用 CellChat 分析了配体-受体对和分类亚群之间的交流强度:结果:在ESCA组织和癌旁组织之间共发现了8种细胞类型。ESCA组织中最丰富的巨噬细胞被进一步分为5个细胞群。与正常组织相比,ESCA组织中HSPA6+巨噬细胞的比例增加最多,介导HSPA6+巨噬细胞与肥大细胞和单核细胞交流的配体-受体对的数量也显著增加。更重要的是,高比例的HSPA6+巨噬细胞与ESCA患者的生存结果成反比:本研究从单细胞水平分析了ESCA组织中巨噬细胞的多样性、分布和分化轨迹,并对ESCA的预后巨噬细胞亚型(HSPA6+巨噬细胞)进行了分类,为ESCA的巨噬细胞靶向治疗提供了理论依据。
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来源期刊
Current medicinal chemistry
Current medicinal chemistry 医学-生化与分子生物学
CiteScore
8.60
自引率
2.40%
发文量
468
审稿时长
3 months
期刊介绍: Aims & Scope Current Medicinal Chemistry covers all the latest and outstanding developments in medicinal chemistry and rational drug design. Each issue contains a series of timely in-depth reviews and guest edited thematic issues written by leaders in the field covering a range of the current topics in medicinal chemistry. The journal also publishes reviews on recent patents. Current Medicinal Chemistry is an essential journal for every medicinal chemist who wishes to be kept informed and up-to-date with the latest and most important developments.
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