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基于肿瘤微环境的三基因标志物可预测青少年和年轻成人骨肉瘤的总生存期。

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

机构信息

Department of Breast, Bone and Soft Tissue Oncology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China.

Graduate School of Guangxi Medical University, Nanning 530021, China.

出版信息

Aging (Albany NY). 2020 Dec 3;13(1):619-645. doi: 10.18632/aging.202170.

Abstract

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 (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.

摘要

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)的预后中起着关键调节作用。本研究旨在建立一个与 TME 相关的风险模型,以评估 OSs 的预后。TARGET 中 82 例年龄≤25 岁的 OSs 病例根据 Estimate 算法分析的免疫/基质评分分为两组。分析两组间差异表达基因(DEGs),共发现 122 个 DEGs。最后,通过多变量 cox 分析从 122 个 DEGs 中得出具有最小 AIC 值的三个基因(COCH、MYOM2 和 PDE1B)。三基因风险模型(3-GRM)能够区分训练(TARGET)和验证(GSE21257)队列中高危患者。此外,还建立了一个包含 3-GRM 评分和临床特征的列线图模型,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 3-GRM 评分组中,浸润免疫细胞的富集程度显著降低,免疫相关途径受到明显抑制。总之,该模型可作为预测青少年和年轻成人 OSs 患者生存的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bffb/7835013/5c4079879f0e/aging-13-202170-g001.jpg

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