Chen Fangyi, Liu Jiao, Yang Ting, Sun Jianwei, He Xianwei, Fu Xinjie, Qiao Shigang, An Jianzhong, Yang Jiao
Department of Orthopedics, Jinshan Hospital, Fudan University, Shanghai, China.
Department of Clinical Nutrition, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
J Bone Oncol. 2023 Jul 11;41:100493. doi: 10.1016/j.jbo.2023.100493. eCollection 2023 Aug.
Osteosarcoma (OS) is the most common primary bone cancer in children and young adults, patient survival rates have not improved in recent decades. To further understand the interrelationship between different cell types in the tumor microenvironment of osteosarcoma, we comprehensively analyzed single-cell sequencing data from six patients with untreated osteosarcoma. Nine major cell types were identified from a total of 46,046 cells based on unbiased clustering of gene expression profiles and canonical markers. Osteosarcoma from different patients display heterogeneity in cellular composition. Myeloid cells were the most commonly represented cell type, followed by osteoblastic and TILs. Copy number variation (CNV) results identified amplifications and deletions in malignant osteoblastic cells and fibroblasts. Trajectory analysis based on RNA velocity showed that osteoclasts in the OS microenvironment could be differentiated from myeloid cells. Furthermore, we explored the intercellular communications in OS microenvironment and identified multiple ligand-receptor pairs between myeloid cells, osteoblastic cells and their cells, including 21 ligand-receptor pair genes that significantly associated with survival outcomes. Importantly, we found chemotherapy may have an effect on cellular communication in the OS microenvironment by analyzing single-cell sequencing data from seven primary osteosarcoma patients who received chemotherapy. We believe these observations will improve our understanding of potential mechanisms of microenvironment contributions to OS progression and help identify potential targets for new treatment development in the future.
骨肉瘤(OS)是儿童和青年中最常见的原发性骨癌,近几十年来患者生存率并未提高。为了进一步了解骨肉瘤肿瘤微环境中不同细胞类型之间的相互关系,我们全面分析了6例未经治疗的骨肉瘤患者的单细胞测序数据。基于基因表达谱和典型标志物的无偏聚类,从总共46,046个细胞中鉴定出9种主要细胞类型。不同患者的骨肉瘤在细胞组成上表现出异质性。髓样细胞是最常见的细胞类型,其次是成骨细胞和肿瘤浸润淋巴细胞(TILs)。拷贝数变异(CNV)结果确定了恶性成骨细胞和成纤维细胞中的扩增和缺失。基于RNA速度的轨迹分析表明,OS微环境中的破骨细胞可由髓样细胞分化而来。此外,我们探索了OS微环境中的细胞间通讯,并确定了髓样细胞、成骨细胞及其细胞之间的多个配体-受体对,包括21个与生存结果显著相关的配体-受体对基因。重要的是,通过分析7例接受化疗的原发性骨肉瘤患者的单细胞测序数据,我们发现化疗可能对OS微环境中的细胞通讯产生影响。我们相信这些观察结果将增进我们对微环境促进OS进展潜在机制的理解,并有助于确定未来新治疗方法开发的潜在靶点。