骨肉瘤
仿形(计算机编程)
医学
癌症研究
肿瘤科
计算机科学
操作系统
作者
Jason Eigenbrood,Nathan Wong,Paul Mallory,Jorge A. Pereira,DreeAnna Morris,Jessica A. Beck,James C. Cronk,Carly M. Sayers,Monica Mendez,Linus Kaiser,Julie Galindo,Jatinder Singh,Ashley Cardamone,Milind Pore,Michael C. Kelly,Amy K. LeBlanc,Jennifer Cotter,Rosandra N. Kaplan,Troy A. McEachron
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-01-24
标识
DOI:10.1101/2025.01.22.631350
摘要
ABSTRACT Osteosarcoma is the most common malignant bone tumor in young patients and remains a significant clinical challenge, particularly in the context of metastatic disease. Despite extensive documentation of genomic alterations in osteosarcoma, studies detailing the immunosuppressive mechanisms within the metastatic osteosarcoma microenvironment are lacking. Our objective was to characterize the spatial transcriptional landscape of metastatic osteosarcoma to reveal these immunosuppressive mechanisms and identify promising therapeutic targets. Here, we performed spatial transcriptional profiling on a cohort of osteosarcoma pulmonary metastases from pediatric patients. We reveal a conserved spatial gene expression pattern resembling a foreign body granuloma, characterized by peripheral inflammatory signaling, fibrocollagenous encapsulation, lymphocyte exclusion, and peritumoral macrophage accumulation. We also show that the intratumoral microenvironment of these lesions lack inflammatory signaling. Additionally, we identified CXCR4 as an actionable immunomodulatory target that bridges both the intratumoral and extratumoral microenvironments and highlights the spatial heterogeneity and complexity of this pathway. Collectively, this study reveals that metastatic osteosarcoma specimens are comprised of multiple regionally distinct immunosuppressive microenvironments.
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