PDF(Pubmed)
Abstract：
Identifying patients likely to develop breast cancer recurrence remains a challenge. Thus, the discovery of biomarkers capable of diagnosing recurrence is of the utmost importance. MiRNAs are small, non-coding RNA molecules which are known to regulate genetic expression and have previously demonstrated relevance as biomarkers in malignancy. To perform a systematic review evaluating the role of miRNAs in predicting breast cancer recurrence. A formal systematic search of PubMed, Scopus, Web of Science, and Cochrane databases was performed. This search was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) checklist. A total of 19 studies involving 2287 patients were included. These studies identified 44 miRNAs which predicted breast cancer recurrence. Results from nine studies assessed miRNAs in tumour tissues (47.4%), eight studies included circulating miRNAs (42.1%), and two studies assessed both tumour and circulating miRNAs (10.5%). Increased expression of 25 miRNAs were identified in patients who developed recurrence, and decreased expression of 14 miRNAs. Interestingly, five miRNAs (miR-17-5p, miR-93-5p, miR-130a-3p, miR-155, and miR-375) had discordant expression levels, with previous studies indicating both increased and reduced expression levels of these biomarkers predicting recurrence. MiRNA expression patterns have the ability to predict breast cancer recurrence. These findings may be used in future translational research studies to identify patients with breast cancer recurrence to improve oncological and survival outcomes for our prospective patients.
摘要：
确定可能发生乳腺癌复发的患者仍然是一个挑战。因此，发现能够诊断复发的生物标志物至关重要.miRNA很小,非编码RNA分子，已知可调节基因表达，并且先前已证明与恶性肿瘤的生物标志物相关。对miRNA在预测乳腺癌复发中的作用进行系统评价。对PubMed的正式系统搜索，Scopus,WebofScience,并进行了Cochrane数据库。根据系统评价和荟萃分析（PRISMA）检查表的首选报告项目进行此搜索。共纳入19项研究，涉及2287例患者。这些研究鉴定了44个预测乳腺癌复发的miRNA。九项研究的结果评估了肿瘤组织中的miRNA（47.4％），8项研究包括循环miRNA（42.1%），两项研究评估了肿瘤和循环miRNA（10.5％）。在复发的患者中发现25个miRNAs的表达增加，14种miRNAs的表达降低。有趣的是,五个miRNA(miR-17-5p，miR-93-5p,miR-130a-3p,miR-155和miR-375)表达水平不一致，先前的研究表明，这些预测复发的生物标志物的表达水平增加和减少。miRNA表达模式具有预测乳腺癌复发的能力。这些发现可用于未来的转化研究，以确定乳腺癌复发患者，以改善我们的前瞻性患者的肿瘤和生存结果。
