论文标题
SKCM患者预后的免疫相关LNCRNA模型基于COX回归和共表达分析
An Immune-related lncRNAs Model for Prognostic of SKCM Patients Base on Cox Regression and Coexpression Analysis
论文作者
论文摘要
SKCM是皮肤癌中最危险的一种，它的高度恶性肿瘤是皮肤癌的主要原因。辐射治疗和化学处理水平很小，因此死亡率很高。由于其复杂的分子和细胞异质性，现有的皮肤癌风险预测模型不是理想的。在这项研究中，我们开发了一种与免疫相关的LNCRNA模型，以预测SKCM患者的预后。从TCGA筛选LNCRNA与SKCM相关的差分表达。基于共表达方法，鉴定出与免疫相关的LNCRNA和LNCRNA相关的mRNA。通过单变量和多变量分析，建立了与免疫相关的LNCRNA模型，以分析SKCM患者的预后。构建了一个4-LNCRNA皮肤癌预测模型，包括miR155HG，AL137003.2，AC011374.2和AC009495.2。根据该模型，将SKCM样品分为一个高风险组和低风险组，并预测30年内两组的存活率。 ROC曲线下的面积为0.749，这表明该模型具有出色的性能。我们构建了一个4-LNCRNA模型，以预测SKCM患者的预后，表明这些LNCRNA可能在SKCM的致癌作用中起着独特的作用。
SKCM is the most dangerous one of skin cancer, its high degree of malignant, is the leading cause of skin cancer. And the level of radiation treatment and chemical treatment is minimal, so the mortality is high. Because of its complex molecular and cellular heterogeneity, the existing prediction model of skin cancer risk is not ideal. In this study, we developed an immune-related lncRNAs model to predict the prognosis of patients with SKCM. Screening for SKCM-related differential expression of lncRNA from TCGA. Identified immune-related lncRNAs and lncRNA-related mRNA based on the co-expression method. Through univariate and multivariate analysis, an immune-related lncRNA model is established to analyze the prognosis of SKCM patients. A 4-lncRNA skin cancer prediction model was constructed, including MIR155HG, AL137003.2, AC011374.2, and AC009495.2. According to the model, SKCM samples were divided into a high-risk group and low-risk group, and predict the survival of the two groups in 30 years. The area under the ROC curve is 0.749, which shows that the model has excellent performance. We constructed a 4-lncRNA model to predict the prognosis of patients with SKCM, indicating that these lncRNAs may play a unique role in the carcinogenesis of SKCM.
