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鉴定慢性胰腺炎相关 microRNAs 和基因用于胰腺癌的诊断。

Identification of Chronic Pancreatitis Associated microRNAs and Genes for the Diagnosis of Pancreatic Cancer.

机构信息

Department of Medical Laboratory, Jiangxi Integrated Traditional Chinese and Western Medicine Hospital, Nanchang City, Jiangxi Province, China.

Department of Health examination, Jiangxi Integrated traditional Chinese and Western Medicine Hospital, Nanchang City, Jiangxi Province, China.

出版信息

Am Surg. 2024 Nov;90(11):2797-2807. doi: 10.1177/00031348241253801. Epub 2024 May 6.

Abstract

OBJECTIVE

The timely identification of both malignant and nonmalignant pancreatic lesions has the potential to significantly enhance prognosis and implement risk management strategies across various levels. microRNAs (miRs) and their corresponding targets play a crucial role in the development of pancreatic lesions and can serve as valuable diagnostic and therapeutic targets. The objective of our study was to investigate potential diagnostic markers that can effectively differentiate between malignant and nonmalignant pancreatic lesions.

METHODS

Gene Expression Omnibus (GEO) database with GSE24279 dataset was utilized to screen differentially expressed miRNAs (DEMs). We utilized the TargetScanHuman database to predict the target genes associated with hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p. Furthermore, a cohort comprising healthy individuals (n = 52), chronic pancreatitis (CP; n = 34), and pancreatic adenocarcinoma (PAAD; n = 53) patients was recruited to ascertain the levels of plasma markers.

RESULTS

We identified 3 miRNAs (hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p) and 2 proteins (PCDH1 and AMN) as potential diagnostic markers for distinguishing between CP and PAAD. The area under the curve (AUC) values for all markers exceeded .800. Notably, a combination of plasma PCDH1 and AMN demonstrated excellent diagnostic performance (AUC = .921; 95% CI: .866-.977; sensitivity = .792; specificity = .941) in discriminating between CP and PAAD. In addition, the model of hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p yielded an AUC of .928, sensitivity of .830, and specificity of .912, respectively.

CONCLUSION

Plasma levels of miRNAs (hsa-miR-150-3p, hsa-miR-150-5p, and hsa-miR-214-3p) and their corresponding targets (PCDH1 and AMN) hold promise as potential biomarkers for predicting PAAD in patients with CP.

摘要

目的

及时识别良恶性胰腺病变具有显著改善预后和实施各层次风险管理策略的潜力。microRNAs(miRs)及其相应的靶标在胰腺病变的发展中起着至关重要的作用,并且可以作为有价值的诊断和治疗靶标。本研究旨在寻找能够有效区分良恶性胰腺病变的潜在诊断标志物。

方法

利用 Gene Expression Omnibus(GEO)数据库中的 GSE24279 数据集筛选差异表达的 miRNAs(DEMs)。我们利用 TargetScanHuman 数据库预测与 hsa-miR-150-3p、hsa-miR-150-5p 和 hsa-miR-214-3p 相关的靶基因。此外,招募了一组健康个体(n=52)、慢性胰腺炎(CP;n=34)和胰腺腺癌(PAAD;n=53)患者,以确定血浆标志物的水平。

结果

我们发现了 3 种 miRNAs(hsa-miR-150-3p、hsa-miR-150-5p 和 hsa-miR-214-3p)和 2 种蛋白质(PCDH1 和 AMN),它们可能是区分 CP 和 PAAD 的诊断标志物。所有标志物的曲线下面积(AUC)值均超过.800。值得注意的是,血浆 PCDH1 和 AMN 的组合在区分 CP 和 PAAD 方面表现出出色的诊断性能(AUC=.921;95%CI:.866-.977;灵敏度=.792;特异性=.941)。此外,hsa-miR-150-3p、hsa-miR-150-5p 和 hsa-miR-214-3p 的模型 AUC 值分别为.928、灵敏度为.830 和特异性为.912。

结论

血浆中 miRNAs(hsa-miR-150-3p、hsa-miR-150-5p 和 hsa-miR-214-3p)及其相应靶标(PCDH1 和 AMN)可能成为预测 CP 患者 PAAD 的潜在生物标志物。

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