Suppr超能文献

单细胞分辨率下的泛癌人脑转移图谱

Pan-cancer human brain metastases atlas at single-cell resolution.

作者信息

Xing Xudong, Zhong Jian, Biermann Jana, Duan Hao, Zhang Xinyu, Shi Yu, Gao Yixin, He Kejun, Zhai Duanyang, Luo Feng, Lai Yanxing, Xiao Feizhe, Wang Wenying, Wang Mengru, Xu Jianguo, Liu Hao, Tang Jiaze, Chu Liangzhao, Chen Tunan, D'Souza Edridge K, Caprio Lindsay, Ebel Leon, Biswas Devanik, Cottarelli Azzurra, Mou Yonggao, Izar Benjamin, Zhang Nu, Bai Fan

机构信息

Biomedical Pioneering Innovation Center (BIOPIC), Peking-Tsinghua Center for Life Sciences, Beijing Advanced Innovation Center for Genomics (ICG), School of Life Sciences, Peking University (PKU), Beijing, China; Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.

Department of Neurosurgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Guangdong Provincial Key Laboratory of Brain Function and Disease, Guangzhou, Guangdong 510080, China.

出版信息

Cancer Cell. 2025 Jul 14;43(7):1242-1260.e9. doi: 10.1016/j.ccell.2025.03.025. Epub 2025 Apr 10.

Abstract

Brain metastases (BrMs) remain a major clinical and therapeutic challenge in patients with metastatic cancers. However, advances in our understanding of BrM have been hampered by the constrained sample size and resolution of BrM profiling studies. Here, we perform integrative single-cell RNA sequencing analysis on 108 BrM samples and 111 primary tumor (PTs) samples to investigate the characteristics and remodeling of cell states and composition across cancer lineages and subsets. Recurring and enriched features of malignant cells are increased chromosomal instability, marked proliferative and angiogenic hallmarks, and adoption of a neural-like BrM-associated metaprogram. Immunosuppressive myeloid and stromal subsets dominate the BrM tumor microenvironment, which are associated with poor prognosis and resistance to immunotherapy. Furthermore, five distinct BrM ecotypes are identified, correlating with specific histopathological patterns and clinical characteristics. This work defines hallmarks of BrM biology across cancer types and suggests that shared dependencies may exist, which may be exploited clinically.

摘要

脑转移瘤(BrMs)仍然是转移性癌症患者面临的主要临床和治疗挑战。然而,由于脑转移瘤分析研究的样本量有限和分辨率受限,我们对脑转移瘤的理解进展受到阻碍。在此,我们对108个脑转移瘤样本和111个原发性肿瘤(PTs)样本进行综合单细胞RNA测序分析,以研究跨癌症谱系和亚群的细胞状态及组成的特征和重塑。恶性细胞反复出现且富集的特征包括染色体不稳定性增加、显著的增殖和血管生成特征以及采用与脑转移瘤相关的神经样元程序。免疫抑制性髓系和基质亚群在脑转移瘤肿瘤微环境中占主导地位,这与预后不良和免疫治疗耐药相关。此外,还鉴定出五种不同的脑转移瘤生态型,与特定的组织病理学模式和临床特征相关。这项工作定义了跨癌症类型的脑转移瘤生物学特征,并表明可能存在共同的依赖性,这可能在临床上加以利用。

相似文献

1
Pan-cancer human brain metastases atlas at single-cell resolution.
Cancer Cell. 2025 Jul 14;43(7):1242-1260.e9. doi: 10.1016/j.ccell.2025.03.025. Epub 2025 Apr 10.
3
Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases.
Nat Med. 2025 Apr;31(4):1351-1363. doi: 10.1038/s41591-025-03530-z. Epub 2025 Feb 27.
4
Identification and characterization of tertiary lymphoid structures in brain metastases.
Acta Neuropathol Commun. 2025 May 3;13(1):91. doi: 10.1186/s40478-025-02007-x.
5
Interplay between tumor mutation burden and the tumor microenvironment predicts the prognosis of pan-cancer anti-PD-1/PD-L1 therapy.
Front Immunol. 2025 Jul 24;16:1557461. doi: 10.3389/fimmu.2025.1557461. eCollection 2025.
6
New insights for precision treatment of glioblastoma from analysis of single-cell lncRNA expression.
J Cancer Res Clin Oncol. 2021 Jul;147(7):1881-1895. doi: 10.1007/s00432-021-03584-9. Epub 2021 Mar 11.
7
Genomic and immune profiling of breast cancer brain metastases.
Acta Neuropathol Commun. 2025 May 12;13(1):99. doi: 10.1186/s40478-025-02001-3.
8
Brain Metastases from Esophageal Cancer: A Retrospective Review from a Single Institution.
World Neurosurg. 2025 Jan;193:964-974. doi: 10.1016/j.wneu.2024.09.085. Epub 2024 Oct 9.
9
Systemic treatments for metastatic cutaneous melanoma.
Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2.

引用本文的文献

1
Bibliometric and visualization analysis of glioma pharmacotherapy from 2020 to 2024.
Front Neurol. 2025 Jun 13;16:1595194. doi: 10.3389/fneur.2025.1595194. eCollection 2025.

本文引用的文献

1
Distinct roles of TREM2 in central nervous system cancers and peripheral cancers.
Cancer Cell. 2024 Jun 10;42(6):968-984.e9. doi: 10.1016/j.ccell.2024.05.001. Epub 2024 May 23.
2
A blueprint for tumor-infiltrating B cells across human cancers.
Science. 2024 May 3;384(6695):eadj4857. doi: 10.1126/science.adj4857.
3
Identification of hypoxic macrophages in glioblastoma with therapeutic potential for vasculature normalization.
Cancer Cell. 2024 May 13;42(5):815-832.e12. doi: 10.1016/j.ccell.2024.03.013. Epub 2024 Apr 18.
4
Lymphatic vessels in the age of cancer immunotherapy.
Nat Rev Cancer. 2024 Jun;24(6):363-381. doi: 10.1038/s41568-024-00681-y. Epub 2024 Apr 11.
5
Interrogation of endothelial and mural cells in brain metastasis reveals key immune-regulatory mechanisms.
Cancer Cell. 2024 Mar 11;42(3):378-395.e10. doi: 10.1016/j.ccell.2023.12.018. Epub 2024 Jan 18.
6
LncRNA Malat1 suppresses pyroptosis and T cell-mediated killing of incipient metastatic cells.
Nat Cancer. 2024 Feb;5(2):262-282. doi: 10.1038/s43018-023-00695-9. Epub 2024 Jan 9.
7
Integrative analysis of neuroblastoma by single-cell RNA sequencing identifies the NECTIN2-TIGIT axis as a target for immunotherapy.
Cancer Cell. 2024 Feb 12;42(2):283-300.e8. doi: 10.1016/j.ccell.2023.12.008. Epub 2024 Jan 4.
8
Lymphatic endothelial-like cells promote glioblastoma stem cell growth through cytokine-driven cholesterol metabolism.
Nat Cancer. 2024 Jan;5(1):147-166. doi: 10.1038/s43018-023-00658-0. Epub 2024 Jan 3.
9
Mitochondria-ER contact mediated by MFN2-SERCA2 interaction supports CD8 T cell metabolic fitness and function in tumors.
Sci Immunol. 2023 Sep 29;8(87):eabq2424. doi: 10.1126/sciimmunol.abq2424. Epub 2023 Sep 22.
10
Non-cell-autonomous cancer progression from chromosomal instability.
Nature. 2023 Aug;620(7976):1080-1088. doi: 10.1038/s41586-023-06464-z. Epub 2023 Aug 23.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验