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血浆微小RNA作为预测肺癌放疗所致心脏毒性的生物标志物

Plasma microRNAs as Biomarkers for Predicting Radiotherapy Treatment-Induced Cardiotoxicity in Lung Cancer.

作者信息

Kazlauskaitė Paulina, Vaicekauskaitė Ieva, Venius Jonas, Sabaliauskaitė Rasa, Steponavičienė Rita

机构信息

National Cancer Institute, 08406 Vilnius, Lithuania.

Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania.

出版信息

Life (Basel). 2024 Dec 6;14(12):1619. doi: 10.3390/life14121619.

Abstract

Lung cancer is the second most common malignancy and stands as a leading cause of cancer-related deaths worldwide. Currently, one of the main treatment options for lung cancer is radiotherapy, but this treatment is associated with complications, such as an increased risk of cardiac-related morbidity and mortality. However, currently available methods for predicting radiation-induced heart disease (RIHD) remain suboptimal. In this pilot study, using the RT-qPCR method, we analyzed the expression levels of six miRNAs (miRNA-1-3p, miRNA-21-5p, miRNA-24-3p, miRNA-29a-3p, miRNA-34a-5p, and miRNA-222-3p). Fourteen pairs of locally advanced non-small-cell lung cancer patients' plasma samples, taken before and after radiotherapy, were examined. It was observed that miRNA-1-3p, miRNA-21-5p, miRNA-24-3p, miRNA-29a-3p, and miRNA-222-3p were downregulated, while miRNA-34a-5p was upregulated in lung cancer patients' plasma after treatment. Additionally, after definitive radiotherapy, patients with an increased NT-proBNP value displayed a statistically significant difference in miRNA-222-3p levels compared to the normal range of this indicator. The panel of the combined four miRNAs for assessing the risk of cardiac comorbidities demonstrated an AUC of 0.79, sensitivity of 71.43%, and specificity of 100%, with further improved values upon integration with clinical biomarker NT-proBNP. This pilot study shows that the identification of changes in miRNA expression levels in lung cancer patients' plasma before and after radiotherapy could be used for the early diagnosis of RIHD.

摘要

肺癌是第二大常见恶性肿瘤,也是全球癌症相关死亡的主要原因之一。目前,肺癌的主要治疗选择之一是放射治疗,但这种治疗会引发并发症,如心脏相关发病率和死亡率增加的风险。然而,目前可用的预测放射性心脏病(RIHD)的方法仍不尽人意。在这项初步研究中,我们使用RT-qPCR方法分析了六种miRNA(miRNA-1-3p、miRNA-21-5p、miRNA-24-3p、miRNA-29a-3p、miRNA-34a-5p和miRNA-222-3p)的表达水平。检测了14对局部晚期非小细胞肺癌患者放疗前后的血浆样本。结果观察到,肺癌患者治疗后血浆中miRNA-1-3p、miRNA-21-5p、miRNA-24-3p、miRNA-29a-3p和miRNA-222-3p表达下调,而miRNA-34a-5p表达上调。此外,在根治性放疗后,NT-proBNP值升高的患者与该指标正常范围相比,miRNA-222-3p水平存在统计学显著差异。用于评估心脏合并症风险的四种miRNA组合显示曲线下面积(AUC)为0.79,敏感性为71.43%,特异性为100%,与临床生物标志物NT-proBNP整合后数值进一步改善。这项初步研究表明,识别肺癌患者放疗前后血浆中miRNA表达水平的变化可用于RIHD的早期诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73f1/11679788/62ff94c192f3/life-14-01619-g001.jpg

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