The Potential of MicroRNAs as Non-Invasive Prostate Cancer Biomarkers: A Systematic Literature Review Based on a Machine Learning Approach.
The Potential of MicroRNAs as Non-Invasive Prostate Cancer Biomarkers: A Systematic Literature Review Based on a Machine Learning Approach.
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前列腺癌（PCa）是全世界男性最常见的癌症。筛查和诊断基于前列腺特异性抗原（PSA）血液检测和直肠指检。然而，这些方法并不具体，并且产生错误结果的风险很高。这导致了过度治疗和不必要的根治性治疗；因此，迫切需要更好的预测工具。从这个角度来看，microRNA (miR) 似乎是 PCa 诊断、预后和治疗的潜在非侵入性生物标志物。由于该领域的科学文献数量庞大且经常引起争议，我们通过将文献中的大数据与新颖的机器学习方法相结合，确定并讨论了表征所调查研究领域的三个主题。通过分析这些主题的论文，我们对当前的研究有了更深入的了解，这有助于促进该研究领域的进步。背景：前列腺癌（PCa）是男性癌症相关死亡的第二大原因。尽管前列腺特异性抗原（PSA）测试在临床实践中用于前列腺癌的筛查和/或早期检测，但它不具有特异性，因此导致假阳性率较高。 MicroRNA (miR) 为 PCa 的诊断、预后和复发提供了作为生物标志物的机会。由于相关文献的数量不断增加且经常存在争议，因此本研究旨在巩固相关已发表研究的最新技术。方法：采用系统文献综述 (SLR) 方法，通过利用潜在狄利克雷分配 (LDA) 算法的文本挖掘方法来分析一组 213 份科学出版物。结果和结论：通过 MySLR 数字平台进行的这项活动的结果使我们能够确定一组表征所调查研究领域的三个相关主题。我们分析并讨论了所有归入其中的论文。我们强调，一些 miR 与 PCa 进展相关，并且在患者尿液中检测它们似乎是 PCa 诊断更可靠、更有前景的非侵入性工具。最后，我们提出了一些未来的研究方向，以帮助未来的科学家进一步推进该领域。
Prostate cancer (PCa) is the most common cancer in men worldwide. Screening and diagnosis are based on prostate-specific antigen (PSA) blood testing and digital rectal examination. Nevertheless, these methods are not specific and have a high risk of mistaken results. This has led to overtreatment and unnecessary radical therapy; thus, better prognostic tools are urgently needed. In this view, microRNAs (miRs) appear as potential non-invasive biomarkers for PCa diagnosis, prognosis, and therapy. As the scientific literature available in this field is huge and very often controversial, we identified and discussed three topics that characterize the investigated research area by combining the big data from the literature together with a novel machine learning approach. By analyzing the papers clustered into these topics we have offered a deeper understanding of the current research, which helps to contribute to the advancement of this research field. Background: Prostate cancer (PCa) is the second leading cause of cancer-related deaths in men. Although the prostate-specific antigen (PSA) test is used in clinical practice for screening and/or early detection of PCa, it is not specific, thus resulting in high false-positive rates. MicroRNAs (miRs) provide an opportunity as biomarkers for diagnosis, prognosis, and recurrence of PCa. Because the size of the literature on it is increasing and often controversial, this study aims to consolidate the state-of-art of relevant published research. Methods: A Systematic Literature Review (SLR) approach was applied to analyze a set of 213 scientific publications through a text mining method that makes use of the Latent Dirichlet Allocation (LDA) algorithm. Results and Conclusions: The result of this activity, performed through the MySLR digital platform, allowed us to identify a set of three relevant topics characterizing the investigated research area. We analyzed and discussed all the papers clustered into them. We highlighted that several miRs are associated with PCa progression, and that their detection in patients’ urine seems to be the more reliable and promising non-invasive tool for PCa diagnosis. Finally, we proposed some future research directions to help future scientists advance the field further.
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影响因子：
6
作者：
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通讯作者：
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2.6
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通讯作者：
Hamdy, F. C.