Department of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China.
J Cancer Res Clin Oncol. 2024 Jan 29;150(2):48. doi: 10.1007/s00432-023-05577-2.
Osteosarcoma (OS) is the most common malignancy in children and adolescents and has a high probability of recurrence and metastasis. A growing number of studies have shown that neutrophil extracellular traps (NETs) are strongly associated with cancer metastasis, but in osteosarcoma, genes associated with NETs that promote osteosarcoma recurrence and metastasis remain to be explored. We systematically investigated the gene expression patterns of NETs in OS samples from the GEO database. NETs molecular typing was evaluated based on NETs expression profiles, and the association between NETs molecular subtypes and immune microenvironment and metastatic features were explored. Ultimately, we constructed a signature model and column line graph associated with metastasis prediction and screened possible potential drugs for metastatic osteosarcoma. We established two different molecular subtypes of NETs, which showed significant differences in metastatic status, metastasis time, tumor immune microenvironment, and biological effects. We also constructed a NETs-related gene metastasis signature(NRGMS) to assess the expression pattern of NETs in patients to predict metastatic recurrence in osteosarcoma patients. We screened for TOMM40 and FH associated with metastatic recurrence in osteosarcoma patients. Overall, this study constructs a predictive model for osteosarcoma metastasis of NETs-related genes, which is expected to provide new insights into the metastasis of osteosarcoma.
骨肉瘤(OS)是儿童和青少年中最常见的恶性肿瘤,具有较高的复发和转移概率。越来越多的研究表明,中性粒细胞胞外诱捕网(NETs)与癌症转移密切相关,但在骨肉瘤中,促进骨肉瘤复发和转移的与 NETs 相关的基因仍有待探索。我们系统地研究了 GEO 数据库中骨肉瘤样本中 NETs 的基因表达模式。根据 NETs 表达谱评估 NETs 分子分型,并探讨 NETs 分子亚型与免疫微环境和转移特征的关系。最终,我们构建了一个与转移预测相关的特征模型和列线图,并筛选了转移性骨肉瘤可能的潜在药物。我们建立了两种不同的 NETs 分子亚型,它们在转移状态、转移时间、肿瘤免疫微环境和生物学效应方面存在显著差异。我们还构建了一个与 NETs 相关的基因转移特征(NRGMS),以评估 NETs 在患者中的表达模式,从而预测骨肉瘤患者的转移复发情况。我们筛选了与骨肉瘤患者转移复发相关的 TOMM40 和 FH。总体而言,本研究构建了一个与 NETs 相关基因的骨肉瘤转移预测模型,有望为骨肉瘤的转移提供新的见解。