A risk signature-based on metastasis-associated genes to predict survival of patients with osteosarcoma
A risk signature-based on metastasis-associated genes to predict survival of patients with osteosarcoma
复制标题
基于转移相关基因的风险特征来预测骨肉瘤患者的生存
DOI：
10.1002/jcb.29622
复制
发表时间：
2020-01-02
影响因子：
4
通讯作者：
Wang, Kun
中科院分区：
文献类型：
--
作者：
Shi, Yi;He, Ronghan;Wang, Kun
Osteosarcoma (OS) is the most common primary solid malignant bone tumor, and its metastasis is a prominent cause of high mortality in patients. In this study, a prognosis risk signature was constructed based on metastasis-associated genes. Four microarrays datasets with clinical information were downloaded from Gene Expression Omnibus, and 256 metastasis-associated genes were identified by limma package. Further, a protein-protein interaction network was constructed, and survival analysis was performed using data from the Therapeutically Applicable Research to Generate Effective Treatments data matrix, identifying 19 genes correlated with prognosis. Six genes were selected by the least absolute shrinkage and selection operator regression for multivariate cox analysis. Finally, a three-gene (MYC, CPE, and LY86) risk signature was constructed, and datasets GSE21257 and GSE16091 were used to validate the prediction efficiency of the signature. The survival times of low- and high-risk groups were significantly different in the training set and validation set. Additionally, gene set enrichment analysis revealed that the genes in the signature may affect the cell cycle, gap junctions, and interleukin-6 production. Therefore, the three-gene survival risk signature could potentially predict the prognosis of patients with OS. Further, proteins encoded by CPE and LY86 may provide novel insights into the prediction of OS prognosis and therapeutic targets.
