Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Department of Joint surgery, Huangshan City People's Hospital, Huangshan, Anhui, China.
BMC Cancer. 2021 Dec 1;21(1):1285. doi: 10.1186/s12885-021-09011-z.
PURPOSE: Osteosarcoma (OS) is a differentiation disease caused by the genetic and epigenetic differentiation of mesenchymal stem cells into osteoblasts. OS is a common, highly malignant tumor in children and adolescents. Fifteen to 20 % of the patients find distant metastases at their first visit. The purpose of our study was to identify biomarkers for tracking the prognosis and treatment of OS to improve the survival rate of patients. MATERIALS AND METHODS: In this study, which was based on Therapeutically Applicable Research to Generate Effective Treatments (TARGET), we searched for m6A related lncRNAs in OS. We constructed a network between lncRNA and m6A, and built an OS prognostic risk model. RESULTS: We identified 14,581 lncRNAs by using the dataset from TARGET. We obtained 111 m6A-related lncRNAs through a Pearson correlation analysis. A network was built between lncRNA and m6A genes. Eight m6A-related lncRNAs associated with survival were identified through a univariate Cox analysis. A selection operator (LASSO) Cox regression was used to construct a prognostic risk model with six genes (RP11-286E11.1, LINC01426, AC010127.3, DLGAP1-AS2, RP4-657D16.3, AC002398.11) obtained through least absolute shrinkage. We also discovered upregulated levels of DLGAP1-AS2 and m6A methylation in osteosarcoma tissues/cells compared with normal tissues/osteoblasts cells. CONCLUSION: We constructed a risk score prognosis model of m6A-related lncRNAs (RP11-286E11.1, LINC01426, AC010127.3, DLGAP1-AS2, RP4-657D16.3, AC002398.11) using the dataset downloaded from TRAGET. We verified the value of the model by dividing all samples into test groups and training groups. However, the role of m6A-related lncRNAs in osteosarcoma needs to be further researched by cell and in vivo studies.
目的:骨肉瘤(OS)是一种分化性疾病,由间充质干细胞向成骨细胞的遗传和表观遗传分化引起。OS 是儿童和青少年中常见的高度恶性肿瘤。15%至 20%的患者在首次就诊时发现远处转移。本研究的目的是确定用于跟踪 OS 预后和治疗的生物标志物,以提高患者的生存率。
材料和方法:在这项基于治疗性应用研究以产生有效治疗方法(TARGET)的研究中,我们在 OS 中搜索了 m6A 相关的 lncRNA。我们构建了 lncRNA 和 m6A 之间的网络,并构建了 OS 预后风险模型。
结果:我们使用 TARGET 数据集鉴定了 14581 个 lncRNA。通过 Pearson 相关性分析获得了 111 个 m6A 相关 lncRNA。构建了 lncRNA 和 m6A 基因之间的网络。通过单因素 Cox 分析鉴定了 8 个与生存相关的 m6A 相关 lncRNA。使用选择算子(LASSO)Cox 回归构建了一个包含六个基因(RP11-286E11.1、LINC01426、AC010127.3、DLGAP1-AS2、RP4-657D16.3、AC002398.11)的预后风险模型,这些基因是通过最小绝对收缩和选择算法获得的。我们还发现与正常组织/成骨细胞相比,骨肉瘤组织/细胞中 DLGAP1-AS2 和 m6A 甲基化水平升高。
结论:我们使用从 TRAGET 下载的数据集构建了一个 m6A 相关 lncRNA(RP11-286E11.1、LINC01426、AC010127.3、DLGAP1-AS2、RP4-657D16.3、AC002398.11)的风险评分预后模型。我们通过将所有样本分为测试组和训练组来验证模型的价值。然而,m6A 相关 lncRNAs 在骨肉瘤中的作用需要通过细胞和体内研究进一步研究。
Eur Rev Med Pharmacol Sci. 2022-8
Front Oncol. 2022-8-30
Saudi J Biol Sci. 2021-7