Serum mature microRNA panel: A novel approach for primary prostate cancer diagnosis

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-03-01 Epub Date: 2025-01-29 DOI:10.1016/j.cca.2025.120150
Pengwu Zhang , Chen Sun , Shengjie Lin , Chong Lu , Zhenyu Wen , Zhenjian Ge , Wenkang Chen , Yingqi Li , Yutong Wu , Xutai Li , Huimei Zhou , Siwei Chen , Wuping Wang , Hang Li , Yongqing Lai
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Abstract

Background

Prostate cancer (PC) is the second most common malignant tumor in males and a leading cause of cancer-related morbidity and mortality among men. Early detection is essential for improving outcomes. Although prostate-specific antigen (PSA) is widely used for PC screening, it suffers from high false positive and false negative rates. Our study aimed to identify a panel of serum mature microRNAs (miRNAs) for PC diagnosis.

Methods

We conducted a PubMed search to identify candidate mature miRNAs associated with PC. We then used quantitative reverse transcription-polymerase chain reaction (RT-qPCR) to assess the expression profiles of these mature miRNAs in serum samples from 112 PC patients and 112 healthy controls (HCs). We selected mature miRNAs with favorable diagnostic potential by analyzing receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC). Subsequently, we developed a highly diagnostically efficient panel of three mature miRNAs using stepwise logistic regression based on their expression levels.

Results

We identified three mature miRNAs (hsa-miR-143-5p, hsa-miR-23b-3p, and hsa-miR-148b-3p) with significant diagnostic value, constructing a panel with an AUC of 0.891, sensitivity of 84.15%, and specificity of 80.49%. Bioinformatics analysis also revealed LDB3 and RBMS3 as potential therapeutic targets for PC.

Conclusions

Our study introduces a novel diagnostic approach by identifying a panel of three mature miRNAs (hsa-miR-143-5p, hsa-miR-23b-3p, and hsa-miR-148b-3p) as novel and non-intrusive biomarkers for PC.
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血清成熟microRNA小组:原发性前列腺癌诊断的新方法。
背景:前列腺癌(PC)是男性第二大常见恶性肿瘤,也是男性癌症相关发病率和死亡率的主要原因。早期发现对于改善结果至关重要。前列腺特异性抗原(PSA)被广泛用于前列腺癌的筛查,但其存在较高的假阳性和假阴性率。我们的研究旨在鉴定一组血清成熟microRNAs (miRNAs)用于PC诊断。方法:我们进行了PubMed检索,以确定与PC相关的候选成熟mirna。然后,我们使用定量逆转录聚合酶链反应(RT-qPCR)来评估112名PC患者和112名健康对照(hc)血清样本中这些成熟mirna的表达谱。我们通过分析受试者工作特征(ROC)曲线并计算曲线下面积(AUC)来选择具有良好诊断潜力的成熟mirna。随后,我们基于三个成熟mirna的表达水平,利用逐步逻辑回归开发了一个高度诊断效率的小组。结果:我们鉴定出三个具有显著诊断价值的成熟mirna (hsa-miR-143-5p, hsa-miR-23b-3p和hsa-miR-148b-3p),构建了AUC为0.891,敏感性为84.15%,特异性为80.49%的小组。生物信息学分析也显示LDB3和RBMS3是潜在的治疗靶点。结论:我们的研究引入了一种新的诊断方法,通过鉴定一组三种成熟的mirna (hsa-miR-143-5p, hsa-miR-23b-3p和hsa-miR-148b-3p)作为PC的新型非侵入性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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