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A three-gene signature based on tumour microenvironment predicts overall survival of osteosarcoma in adolescents and young adults

机译:一种基于肿瘤微环境的三基因签名预测青少年和年轻成年人骨肉瘤的整体存活

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摘要

Evidences shows that immune and stroma related genes in the tumour microenvironment (TME) play a key regulator in the prognosis of Osteosarcomas (OSs). The purpose of this study was to develop a TME-related risk model for assessing the prognosis of OSs. 82 OSs cases aged ≤25 years from TARGET were divided into two groups according to the immune/stromal scores that were analyzed by the Estimate algorithm. The differentially expressed genes (DEGs) between the two groups were analyzed and 122 DEGs were revealed. Finally, three genes (COCH, MYOM2 and PDE1B) with the minimum AIC value were derived from 122 DEGs by multivariate cox analysis. The three-gene risk model (3-GRM) could distinguish patients with high risk from the training (TARGET) and validation ({"type":"entrez-geo","attrs":{"text":"GSE21257","term_id":"21257"}}GSE21257) cohort. Furthermore, a nomogram model included 3-GRM score and clinical features were developed, with the AUC values in predicting 1, 3 and 5-year survival were 0.971, 0.853 and 0.818, respectively. In addition, in the high 3-GRM score group, the enrichment degrees of infiltrating immune cells were significantly lower and immune-related pathways were markedly suppressed. In summary, this model may be used as a marker to predict survival for OSs patients in adolescent and young adults.
机译:证据表明,肿瘤微环境(TME)中的免疫和基质相关基因在骨肉瘤(OSS)的预后发挥关键调节因子。本研究的目的是开发一种与评估OSS预后的TME相关的风险模型。根据估计算法分析的免疫/基质分数,从靶标≤25岁的OSS病例分为两组。分析两组之间的差异表达基因(DEG),并揭示了122次。最后,通过多变量COX分析衍生出具有最小AIC值的三种基因(COCH,Myom2和PDE1b)。三基因风险模型(3 GRM)可以区分培训(目标)和验证风险高风险的患者({“类型”:“entrez-geo”,“attrs”:{“text”:“gse21257”, “term_id”:“21257”}} GSE21257)队列。此外,载体模型包括3GRM分数和临床特征,分别预测1,3和5年生存率的AUC值分别为0.971,0.853和0.818。此外,在高3GRM得分组中,浸润免疫细胞的富集程度显着降低,并且显着抑制了免疫相关的途径。总之,该模型可以用作标记,以预测青少年和年轻成年人的OSS患者的存活。

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