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癌症相关成纤维细胞亚型揭示听神经鞘瘤肿瘤免疫微环境中的独特基因特征。

Cancer-Associated Fibroblast Subtypes Reveal Distinct Gene Signatures in the Tumor Immune Microenvironment of Vestibular Schwannoma.

机构信息

Department of Research & Development, VeraOmics, Seoksanro 138, Namdong-Gu, Incheon 21551, Republic of Korea.

Department of Orthopedic Surgery, Wonju College of Medicine, Yonsei University, Wonju 26426, Republic of Korea.

出版信息

Cells. 2024 Oct 9;13(19):1669. doi: 10.3390/cells13191669.

DOI:10.3390/cells13191669
PMID:39404431
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11475780/
Abstract

Cancer-associated fibroblast (CAF) composition within the same organ varies across different cancer subtypes. Distinct CAF subtypes exhibit unique features due to interactions with immune cells and the tumor microenvironment. However, data on CAF subtypes in individuals with vestibular schwannoma (VS) are lacking. Therefore, we aimed to distinguish CAF subtypes at the single-cell level, investigate how stem-like CAF characteristics influence the tumor immune microenvironment, and identify CAF subtype-specific metabolic reprogramming pathways that contribute to tumor development. Data were analyzed from three patients with VS, encompassing 33,081 single cells, one bulk transcriptome cohort, and The Cancer Genome Atlas Pan-Cancer database (RNA sequencing and clinical data). Our findings revealed that antigen-presenting CAFs are linked to substantially heightened immune activity, supported by metabolic reprogramming, which differs from tumorigenesis. High expression of the stem-like CAF gene signature correlated with poor prognosis in low-grade gliomas within the pan-cancer database. This is the first study to classify CAF subtypes in VS patients and identify a therapeutic vulnerability biomarker by developing a stem-like CAF gene signature. Personalized treatments tailored to individual patients show promise in advancing precision medicine.

摘要

癌症相关成纤维细胞(CAF)在同一器官内的组成因不同的癌症亚型而有所不同。由于与免疫细胞和肿瘤微环境的相互作用,不同的 CAF 亚型表现出独特的特征。然而,缺乏有关前庭神经鞘瘤(VS)患者中 CAF 亚型的资料。因此,我们旨在在单细胞水平上区分 CAF 亚型,研究类干细胞 CAF 特征如何影响肿瘤免疫微环境,并确定有助于肿瘤发展的 CAF 亚型特异性代谢重编程途径。数据来自三名 VS 患者,包括 33081 个单细胞、一个批量转录组队列和癌症基因组图谱泛癌症数据库(RNA 测序和临床数据)。我们的研究结果表明,抗原呈递 CAF 与显著增强的免疫活性有关,这是由代谢重编程支持的,与肿瘤发生不同。在泛癌症数据库中,高水平表达类干细胞 CAF 基因特征与低级别胶质瘤的不良预后相关。这是第一项在 VS 患者中对 CAF 亚型进行分类并通过开发类干细胞 CAF 基因特征来确定治疗脆弱性生物标志物的研究。针对个体患者的个体化治疗有望推进精准医学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/16e56c7cd7b4/cells-13-01669-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/5757ee2d0d41/cells-13-01669-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/1c2d238e0539/cells-13-01669-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/c0a617f81c2a/cells-13-01669-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/16e56c7cd7b4/cells-13-01669-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/5757ee2d0d41/cells-13-01669-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/1c2d238e0539/cells-13-01669-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/c0a617f81c2a/cells-13-01669-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce84/11475780/16e56c7cd7b4/cells-13-01669-g004.jpg

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