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miRNA 10b/21/34a 与替莫唑胺联合放疗治疗胶质母细胞瘤患者急性毒性的相关性。

Association between microRNAs 10b/21/34a and acute toxicity in glioblastoma patients treated with radiotherapy and temozolomide.

机构信息

Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.

Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

出版信息

Sci Rep. 2022 May 7;12(1):7505. doi: 10.1038/s41598-022-11445-9.

Abstract

A personalized approach to chemoradiation is important in reducing its potential side effects and identifying a group of patients prone to toxicity. MicroRNAs have been shown to have a predictive potential for radiotoxicity. The goal of the study was to test if levels of miRNA in peripheral blood mononuclear cells of glioblastoma patients are associated with toxicity and to identify the peak time point for toxicity. MicroRNA-10b/21/34a levels were measured in 43 patients with and without toxicity, at baseline, at the 15th, and at the 30th fraction by Real-Time quantitative Polymerase Chain Reaction. MicroRNA-10b/21 levels increased with toxicity grade (p = 0.014; p = 0.013); miR-21/34a levels were significantly different between patients with and without toxicity at the 15th fraction (p = 0.030; p = 0.045), while miR-34a levels significantly changed during treatment (p < 0.001). All three miRNAs showed a significantly high positive correlation with one another. MiR-34a might be considered as a predictive factor for toxicity due to its changes during treatment, and differences between the groups with and without toxicity; miR-10b might be used to predict toxicity; miR-10b/21 might be used for predicting the grade of toxicity in GB patients.

摘要

在降低化学放射治疗的潜在副作用和确定易发生毒性的患者群体方面,采用个性化方法很重要。microRNAs 已显示出对放射毒性具有预测潜力。该研究的目的是检验胶质母细胞瘤患者外周血单个核细胞中 microRNA 的水平是否与毒性相关,并确定毒性的峰值时间点。通过实时定量聚合酶链反应,在有和没有毒性的 43 名患者中,在基线、第 15 次和第 30 次分割时测量 microRNA-10b/21/34a 水平。microRNA-10b/21 水平随毒性分级增加(p=0.014;p=0.013);在第 15 次分割时,miR-21/34a 水平在有和没有毒性的患者之间存在显著差异(p=0.030;p=0.045),而 miR-34a 水平在治疗过程中显著变化(p<0.001)。这三种 microRNA 彼此之间均显示出显著的正相关。由于 miR-34a 在治疗过程中的变化以及在有和没有毒性的组之间的差异,因此可以将其视为毒性的预测因子;miR-10b 可用于预测毒性;miR-10b/21 可用于预测 GB 患者的毒性程度。

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