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用于前列腺癌无创预测的新型微小RNA检测板的发现与验证

Discovery and Validation of Novel microRNA Panel for Non-Invasive Prediction of Prostate Cancer.

作者信息

Kumari Shweta, Manoj Anveshika, Rungta Sumit, Kumar Manoj, Prasad Gautam, Kumar Durgesh, Mahdi Abbas A, Ahmad Mohammad Kaleem

机构信息

Biochemistry, King George's Medical University, Lucknow, IND.

Gastroenterology, King George's Medical University, Lucknow, IND.

出版信息

Cureus. 2024 Apr 13;16(4):e58207. doi: 10.7759/cureus.58207. eCollection 2024 Apr.

Abstract

BACKGROUND

Early diagnosis remains a challenge for prostate cancer (PCa) due to molecular heterogeneity. The purpose of our study was to explore the diagnostic potential of microRNA (miRNA) in both tissue and serum that may aid in the precise and early clinical diagnosis of PCa.

MATERIALS AND METHODS

The miRNA expression pattern analysis was carried out in 250 subjects (discovery and validation cohort). The Discovery Cohort included the control (n = 30) and PCa (n = 35) subjects, while the Validation Cohort included the healthy control (n = 60), benign prostate hyperplasia (BPH) (n = 55), PCa (n = 50), and castration-resistant PCa (CRPC) (n = 20) patients. The expression analysis of tissue (Discovery Cohort) and serum (Validation Cohort) was carried out by quantitative polymerase chain reaction (qPCR). The diagnostic biomarker potential was evaluated using receiver operating characteristics (ROC). Bioinformatic tools were used to explore and analyze miRNA target genes.

RESULTS

MiRNA 4510 and miRNA 183 were significantly (p<0.001) upregulated and miRNA 329 was significantly (p<0.0001) downregulated in both PCa tissue and serum. ROC curve analysis showed excellent non-invasive biomarker potential of miRNA 4510 in both PCa (area under the curve (AUC) 0.984; p<0.001) and CRPC (AUC 0.944; p<0.001). The panel of serum miRNAs (miRNA 183 and miRNA 4510) designed for PCa had significant and greater AUC with both 100% sensitivity and specificity. Computational analysis shows that the maximum number of target genes are transcription factors that regulate oncogenes and tumor suppressors.

CONCLUSION

Based on ROC curve analysis, miRNAs 4510, 329, and 711 were identified as potential non-invasive diagnostic biomarkers in the early detection of PCa. Our findings imply that a panel of miRNAs 183 and 4510 has high specificity for distinguishing PCa from healthy controls and providing therapeutic targets for better and earlier PCa therapy.

摘要

背景

由于分子异质性,前列腺癌(PCa)的早期诊断仍然是一项挑战。我们研究的目的是探索组织和血清中微小RNA(miRNA)的诊断潜力,这可能有助于前列腺癌的精确和早期临床诊断。

材料与方法

对250名受试者(发现队列和验证队列)进行miRNA表达模式分析。发现队列包括对照组(n = 30)和前列腺癌组(n = 35),而验证队列包括健康对照组(n = 60)、良性前列腺增生(BPH)组(n = 55)、前列腺癌组(n = 50)和去势抵抗性前列腺癌(CRPC)组(n = 20)患者。通过定量聚合酶链反应(qPCR)对组织(发现队列)和血清(验证队列)进行表达分析。使用受试者工作特征(ROC)评估诊断生物标志物的潜力。使用生物信息学工具探索和分析miRNA靶基因。

结果

miRNA 4510和miRNA 183在前列腺癌组织和血清中均显著上调(p<0.001),而miRNA 329显著下调(p<0.0001)。ROC曲线分析显示,miRNA 4510在前列腺癌(曲线下面积(AUC)0.984;p<0.001)和去势抵抗性前列腺癌(AUC 0.944;p<0.001)中均具有出色的非侵入性生物标志物潜力。为前列腺癌设计的血清miRNA组合(miRNA 183和miRNA 4510)具有显著且更大的AUC,敏感性和特异性均为100%。计算分析表明,靶基因的最大数量是调节癌基因和肿瘤抑制因子的转录因子。

结论

基于ROC曲线分析,miRNA 4510、329和711被确定为前列腺癌早期检测中潜在的非侵入性诊断生物标志物。我们的研究结果表明,miRNA 183和4510组合对区分前列腺癌与健康对照具有高特异性,并为更好、更早的前列腺癌治疗提供治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d1f/11090259/f7bf95b6952c/cureus-0016-00000058207-i01.jpg

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