用于前列腺癌诊断的尿挥发性有机化合物分析:系统综述

IF 1.6 Q3 UROLOGY & NEPHROLOGY BJUI compass Pub Date : 2024-08-06 DOI:10.1002/bco2.423
Jonathon Dawson, Kraig Green, Henry Lazarowicz, Phil Cornford, Chris Probert
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引用次数: 0

摘要

背景 前列腺特异性抗原对前列腺癌没有特异性。多参数磁共振成像(MRI)改善了这一问题,但目前的磁共振成像方法仍能检测出大量不严重的前列腺癌,而且有数据显示,使用标准 PSA 临界值可能会漏诊有临床意义的癌症。挥发性有机化合物 (VOC) 分析可为前列腺癌和临床重大疾病提供新型生物标记物。 目的 对文献进行系统性回顾,评估将挥发性有机化合物用作前列腺癌和有临床意义的前列腺癌新型生物标记物的现有证据。 证据获取 由两名独立审稿人对 MEDLINE、Scopus、Web of Science 和 Cochrane 图书馆进行系统检索,并对纳入综述的论文进行评估。提取了研究特征、GC-MS 或 eNose 的灵敏度和特异性。使用 QUADAS 2 确定偏倚风险和适用性问题,使用 STARD 检查表确定报告质量。 eNose 的灵敏度和特异性分别为 0.71-0.95 和 0.79-0.96,GC-MS 的灵敏度和特异性分别为 0.66-1.00 和 0.53-0.97。由于指标检测的时间相对于参考标准的时间不同,有人担心患者招募会出现偏差。 结论 本综述发现尿液代谢组学在检测前列腺癌方面取得了良好的早期效果。然而,还需要更大规模、高质量的研究来验证这一点。今后的工作重点应放在检测有临床意义的前列腺癌上。
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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Analysis of urinary volatile organic compounds for prostate cancer diagnosis: A systematic review

Context

Prostate-specific antigen is non-specific for prostate cancer. This is improved by multiparametric MRI but a significant amount of indolent prostate cancer is detected by the current MRI pathway and data is emerging that clinically significant cancers maybe missed using a standard PSA threshold. Volatile organic compound (VOC) analysis may offer novel biomarkers for prostate cancer and clinically significant disease.

Objective

To perform a systematic review of the literature to evaluate the current evidence for the use of VOCs as novel biomarkers for prostate cancer and clinically significant prostate cancer.

Evidence Acquisition

A systematic search of MEDLINE, Scopus, Web of Science and the Cochrane Library was undertaken by two independent reviewers and papers were assessed for inclusion in the review. Study characteristics, sensitivity and specificity of GC–MS or eNose were extracted. Risk of bias and applicability issues were determined using QUADAS 2 and the quality of reporting using the STARD checklist.

Evidence Synthesis

Nineteen studies were included, of which 6 utilised eNose and 13 GC–MS. eNose sensitivity and specificity were 0.71–0.95 and 0.79–0.96, respectively, and GC–MS found a sensitivity and specificity of 0.66–1.00 and 0.53–0.97, respectively. There were concerns about bias in patient recruitment due to differences in the timing of the index test relative to the reference standard.

Conclusion

This review has found promising early results for urinary metabolomics in the detection of prostate cancer. However, there is a need for larger, high-quality studies to validate this. Future work should focus on the detection of clinically significant prostate cancer.

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CiteScore
2.30
自引率
0.00%
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0
审稿时长
12 weeks
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