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miR-17-5p 可能成为乳腺癌复发的一个新预测因子。

MiR-17-5p may serve as a novel predictor for breast cancer recurrence.

出版信息

Cancer Biomark. 2018;22(4):721-726. doi: 10.3233/CBM-181228.

DOI:10.3233/CBM-181228
PMID:29914008
Abstract

BACKGROUND

Recurrence following conventional therapies in patients with breast cancer is a major cause of morbidity and mortality. This study aimed to investigate potential predictive biomarkers for breast cancer recurrence especially microRNAs (miRNAs).

METHODS

The primary breast cancer patients who were scheduled to undergo curative resection in our hospital from May 2007 to May 2012 were recruited in this study. Clinical and pathological characteristics were compared in patients with or without recurrence. The expressions of tissue miRNAs by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) were also analyzed in patients with recurrence or not. Multivariate Cox analysis was fit to evaluate potential predicative factors for breast cancer recurrence. Kaplan-Meier plots was conducted to further evaluate the association between miR-17-5p expression and recurrence-free survival (RFS).

RESULTS

A total of 133 consecutive patients were enrolled into the final analysis and 29 of them have suffered recurrence within 5 years after the operation. Our results revealed tissue miR-17-5p expression as an independent risk factor for breast cancer recurrence (HR: 4.45; 95% CI: 1.58-11.53, P= 0.015). Patients with a higher miR-17-5p expression was significantly associated with a worse 5-year RFS by log-rank test (p= 0.017).

CONCLUSIONS

This study suggested that miR-17-5p might be a useful predictive factor for breast cancer recurrence.

摘要

背景

乳腺癌患者在接受常规治疗后复发是发病率和死亡率的主要原因。本研究旨在探讨乳腺癌复发的潜在预测生物标志物,尤其是 microRNAs(miRNAs)。

方法

本研究纳入了 2007 年 5 月至 2012 年 5 月在我院接受根治性切除术的原发性乳腺癌患者。比较了有或无复发患者的临床和病理特征。通过定量逆转录聚合酶链反应(qRT-PCR)分析了有或无复发患者组织中 miRNA 的表达。采用多变量 Cox 分析评估乳腺癌复发的潜在预测因素。绘制 Kaplan-Meier 图进一步评估 miR-17-5p 表达与无复发生存率(RFS)之间的关系。

结果

共纳入 133 例连续患者进行最终分析,其中 29 例患者在手术后 5 年内复发。我们的结果显示,组织 miR-17-5p 表达是乳腺癌复发的独立危险因素(HR:4.45;95%CI:1.58-11.53,P=0.015)。通过对数秩检验发现,miR-17-5p 表达较高的患者 5 年 RFS 显著较差(p=0.017)。

结论

本研究表明,miR-17-5p 可能是预测乳腺癌复发的有用生物标志物。

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