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