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骨肉瘤患者的一种有效的表观遗传修饰相关预后特征的构建与验证

Construction and Validation of a Potent Epigenetic Modification-Related Prognostic Signature for Osteosarcoma Patients.

作者信息

Liu Siyu, Wu Bing, Li Xiaomin, Zhao Lulu, Wu Wen, Ai Songtao

机构信息

Department of Radiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.

出版信息

J Oncol. 2021 Nov 22;2021:2719172. doi: 10.1155/2021/2719172. eCollection 2021.

DOI:10.1155/2021/2719172
PMID:34853590
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8629625/
Abstract

BACKGROUND

Increasing evidence has shown that tumorigenesis correlates with aberrant epigenetic factors, such as DNA methylation, histone modification, RNA m6A modification, RNA binding proteins, and transcription factors. However, it is unclear that how epigenetic genes linked with alteration contribute to osteosarcoma's incidence and clinical prognosis. We developed an epigenetic modification-related prognostic model that may improve the diagnosis and prognosis of osteosarcoma.

METHODS

We investigated the epigenetic modification-associated genes and their clinical significance in osteosarcoma in this research. Our gene transcriptome data were obtained from the TARGET database and the GEO database. Bioinformatics techniques were used to investigate their functionalities. The diagnostic and prognostic models were constructed using univariate and multivariate Cox regression. In addition, we developed a nomogram indicating the practicability of the prognostic model described above.

RESULTS

A risk score model constructed based on four epigenetic modification-related genes (MYC, TERT, EIF4E3, and RBM34) can effectively predict the prognosis of patients with osteosarcoma. Based on the risk score and clinical features, we constructed a nomogram.

CONCLUSION

Epigenetic modification-related genes have been identified as important prognostic markers that may assist in osteosarcoma therapy therapeutic decision-making.

摘要

背景

越来越多的证据表明，肿瘤发生与异常的表观遗传因素相关，如DNA甲基化、组蛋白修饰、RNA m6A修饰、RNA结合蛋白和转录因子。然而，尚不清楚与改变相关的表观遗传基因如何影响骨肉瘤的发病率和临床预后。我们开发了一种与表观遗传修饰相关的预后模型，该模型可能会改善骨肉瘤的诊断和预后。

方法

在本研究中，我们调查了骨肉瘤中与表观遗传修饰相关的基因及其临床意义。我们的基因转录组数据来自TARGET数据库和GEO数据库。使用生物信息学技术研究它们的功能。使用单变量和多变量Cox回归构建诊断和预后模型。此外，我们开发了一个列线图，表明上述预后模型的实用性。

结果

基于四个与表观遗传修饰相关的基因（MYC、TERT、EIF4E3和RBM34）构建的风险评分模型可以有效预测骨肉瘤患者的预后。基于风险评分和临床特征，我们构建了一个列线图。

结论

与表观遗传修饰相关的基因已被确定为重要的预后标志物，可能有助于骨肉瘤治疗的治疗决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb87/8629625/efc36f147e19/JO2021-2719172.010.jpg
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