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单细胞测序揭示自噬相关模式在子宫内膜癌肿瘤微环境、预后及免疫治疗中的作用。

Single-cell sequencing reveals the role of aggrephagy-related patterns in tumor microenvironment, prognosis and immunotherapy in endometrial cancer.

作者信息

Yuan Yuquan, Ren Chunyan, Shu Jin, Zhu Keyang, Li Ganghui, Liu Bao, Huang Jianrong, Huang Yinde, Zhao Chengzhi

机构信息

Department of Gynecologic Oncology, Chongqing Health Center for Women and Children, Chongqing, China.

Department of Gynecologic Oncology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.

出版信息

Front Oncol. 2025 Mar 25;15:1560625. doi: 10.3389/fonc.2025.1560625. eCollection 2025.

Abstract

BACKGROUND

As a type of autophagy, aggrephagy degrades the aggregation of misfolded protein in cells and plays an important role in key genetic events for various cancers. However, aggrephagy functions within the tumor microenvironment (TME) in endometrial cancer (EC) remain to be elucidated.

METHODS

A total of 36,227 single cells from single-cell RNA-seq data derived from five EC tumor samples were comprehensively analyzed using a nonnegative matrix factorization (NMF) algorithm for 44 aggrephagy-related genes. Bulk RNA-seq cohorts from public repositories were utilized to assess the prognostic value of aggrephagy-related TME clusters and predict immune checkpoint blockade immunotherapeutic response in EC.

RESULTS

Fibroblasts, macrophages, CD8+T cells, and lymphatic endothelial cells were categorized into two to five aggrephagy-related subclusters, respectively. CellChat analysis showed that the aggrephagy-related subtypes of TME cells exhibited extensive interactions with tumor epithelial cells, particularly for macrophages. Moreover, aggrephagy regulators may be significantly associated with the pseudotime trajectories of major TME cell types as well as the clinical and biological features of EC. Bulk-seq analysis showed that these aggrephagy-related subclusters had significant predictive value for the survival and immune checkpoint blockade response in EC patients. Notably, immunohistochemical staining results manifested that the TUBA1A+ macrophage subtype was linked to less lymph node metastasis and longer survival, which were consistent with the bioinformatics analysis findings.

CONCLUSIONS

This study provided a novel view of aggrephagy signaling in the EC tumor microenvironment, and intervention of aggrephagy was expected to improve the survival rate of EC patients.

摘要

背景

作为一种自噬类型,聚集体自噬可降解细胞中错误折叠蛋白的聚集体,并在多种癌症的关键遗传事件中发挥重要作用。然而,聚集体自噬在子宫内膜癌(EC)肿瘤微环境(TME)中的功能仍有待阐明。

方法

使用非负矩阵分解(NMF)算法对来自5个EC肿瘤样本的单细胞RNA测序数据中的36227个单细胞进行综合分析,分析44个与聚集体自噬相关的基因。利用来自公共数据库的批量RNA测序队列评估与聚集体自噬相关的TME簇的预后价值,并预测EC患者对免疫检查点阻断免疫治疗的反应。

结果

成纤维细胞、巨噬细胞、CD8+T细胞和淋巴管内皮细胞分别被分类为2至5个与聚集体自噬相关的亚簇。CellChat分析表明,TME细胞中与聚集体自噬相关的亚型与肿瘤上皮细胞表现出广泛的相互作用,尤其是巨噬细胞。此外,聚集体自噬调节因子可能与主要TME细胞类型的伪时间轨迹以及EC的临床和生物学特征显著相关。批量测序分析表明,这些与聚集体自噬相关的亚簇对EC患者的生存和免疫检查点阻断反应具有显著的预测价值。值得注意的是,免疫组织化学染色结果表明,TUBA1A+巨噬细胞亚型与较少的淋巴结转移和较长的生存期相关,这与生物信息学分析结果一致。

结论

本研究为EC肿瘤微环境中的聚集体自噬信号提供了新的视角,干预聚集体自噬有望提高EC患者的生存率。

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