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基于血清外泌体长链非编码RNA全基因组微阵列分析的膀胱癌新型早期诊断模型的临床意义

Clinical significance of a new early diagnostic model for bladder cancer based on genome-wide microarray profiling of serum exosomal lncRNAs.

作者信息

Zhao Liming, Tian Guang, Wang Xiaohua, Li Luning, Gao Yongli, Gao Yisheng, Wang Jinfeng

机构信息

Department of Nuclear Medicine, Linyi People's Hospital, Shandong Second Medical University, 27 Jiefang Road, Linyi, 276003, Shandong, China.

Department of General Internal Medicine, Linyi People's Hospital, Shandong Second Medical University, Linyi, Shandong, China.

出版信息

Int Urol Nephrol. 2025 Jun;57(6):1771-1783. doi: 10.1007/s11255-024-04360-7. Epub 2025 Jan 7.

Abstract

PURPOSE

The aim of our report was to recognize bladder cancer (BC)-specific serum exosome-derived long non-coding RNAs (lncRNAs) profile for early diagnosis of BC.

METHODS

Potential BC-specific exosomal lncRNA indicators were discerned by genome-wide microarray profiling analysis of serum exosomes from 10 healthy participants and 10 early stage BC patients (Ta and T1), followed by multi-stage validation through quantitative real-time PCR (qRT-PCR) in BC cells, culture solution as well as 200 serum specimens and 50 tissue specimens from non-muscle-invasive bladder cancer (NMIBC) patients. The diagnostic panel was established using logistic regression and evaluated by receiver-operating characteristic (ROC) curve.

RESULTS

In the training stage, a diagnostic panel was constructed based on three up-regulated exosomal lncRNAs (G023016, RP11-553N19.1, and LINC0087) in NMIBC patients compared with healthy controls, yielding an area under ROC curve (AUC) of 0.827. We verified tumor-derived origin of these three lncRNAs which existed steadily in serum because of being enclosed in exosomes. The three-lncRNA panel was demonstrated to perform well in terms of NMIBC diagnosis, revealing AUC values of 0.809 and 0.812, respectively, in the following expanded validation stage and double-blind stage which was demonstrated to be significantly superior to that of urine cytology in double-blind stage (AUC = 0.630) (P < 0.0001). Moreover, serum exosome-derived G023016 significantly associated with tumor grade and TNM stage (P = 0.006 and P < 0.001, respectively), and LINC0087 significantly associated with TNM stage (P = 0.023).

CONCLUSION

The three-exosomal lncRNA signature could function as qualified blood-based non-invasive indicator for early diagnosis of BC.

摘要

目的

我们报告的目的是识别膀胱癌(BC)特异性血清外泌体衍生的长链非编码RNA(lncRNA)谱,用于膀胱癌的早期诊断。

方法

通过对10名健康参与者和10名早期BC患者(Ta和T1)的血清外泌体进行全基因组微阵列分析,识别潜在的BC特异性外泌体lncRNA指标,随后通过定量实时PCR(qRT-PCR)在BC细胞、培养液以及200份血清标本和50份来自非肌层浸润性膀胱癌(NMIBC)患者的组织标本中进行多阶段验证。使用逻辑回归建立诊断模型,并通过受试者操作特征(ROC)曲线进行评估。

结果

在训练阶段,基于NMIBC患者与健康对照相比上调的三种外泌体lncRNA(G023016、RP11-553N19.1和LINC0087)构建了诊断模型,ROC曲线下面积(AUC)为0.827。我们验证了这三种lncRNA的肿瘤来源,由于它们被包裹在外泌体中,因此在血清中稳定存在。在随后的扩大验证阶段和双盲阶段,三lncRNA模型在NMIBC诊断方面表现良好,AUC值分别为0.809和0.812,双盲阶段显示明显优于尿细胞学检查(AUC = 0.630)(P < 0.0001)。此外,血清外泌体衍生的G023016与肿瘤分级和TNM分期显著相关(分别为P = 0.006和P < 0.001),LINC0087与TNM分期显著相关(P = 0.023)。

结论

三种外泌体lncRNA特征可作为合格的基于血液的非侵入性指标用于膀胱癌的早期诊断。

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