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

IF 3.5 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2025-03-25 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1560625
Yuquan Yuan, Chunyan Ren, Jin Shu, Keyang Zhu, Ganghui Li, Bao Liu, Jianrong Huang, Yinde Huang, Chengzhi Zhao
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引用次数: 0

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.

单细胞测序揭示了子宫内膜癌中聚集相关模式在肿瘤微环境、预后和免疫治疗中的作用。
背景:作为自噬的一种,聚集性降解细胞内错误折叠蛋白的聚集,在各种癌症的关键遗传事件中起着重要作用。然而,在子宫内膜癌(EC)中,肿瘤微环境(TME)内的聚集功能仍有待阐明。方法:采用非负矩阵因子分解(NMF)算法对5例EC肿瘤样本的单细胞RNA-seq数据中共36227个单细胞进行44个聚集相关基因的综合分析。利用来自公共数据库的大量RNA-seq队列来评估与聚集性相关的TME集群的预后价值,并预测EC中免疫检查点阻断免疫治疗反应。结果:成纤维细胞、巨噬细胞、CD8+T细胞和淋巴内皮细胞分别被归类为2 - 5个与吞噬相关的亚簇。CellChat分析显示,TME细胞的聚集相关亚型与肿瘤上皮细胞,特别是巨噬细胞表现出广泛的相互作用。此外,聚集调节因子可能与主要TME细胞类型的假时间轨迹以及EC的临床和生物学特征显著相关。Bulk-seq分析显示,这些与聚集相关的亚群对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显示,TUBA1A+巨噬细胞亚型与淋巴结转移少、生存时间长相关,这与生物信息学分析结果一致。结论:本研究提供了EC肿瘤微环境中聚集性信号传导的新视角,干预聚集性有望提高EC患者的生存率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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