The expression of miR-21 and miR-375 predict prognosis of esophageal cancer

https://doi.org/10.1016/j.bbrc.2014.03.087Get rights and content

Highlights

  • Analysis the relationship between miRNA and the prognosis of EC.

  • Found the expression of miR-21 and miR-375 can predict the prognosis of EC.

  • High level of miR-21 has a negative impact on OS of EC.

  • Low level of miR-375 has a negative impact on OS of EC.

Abstract

Background

MicroRNA is a class of small, well-conserved, non-coding RNAs, and could play a potential role as diagnostic and prognostic biomarkers of esophageal cancers. We aimed to review comprehensively the evidence of microRNA as prognostic biomarkers in esophageal cancers.

Methods

Studies were identified by searching PubMed, Embase and Web of Science until November 2013. Descriptive characteristics of studies were described and an additional meta-analysis for specific microRNAs which were studied most frequently was performed. Pooled hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs) were calculated. Fixed model or random model method was chosen depending on the heterogeneity among the studies.

Results

Twenty-two studies including a total of 1946 participants were enrolled after a strict filtering and qualifying process. Among 33 prognostic microRNAs identified for esophageal cancer, miR-21 and miR-375 appeared more frequently. The median study size was 70.5 patients (29–249 patients) and the median HR was 3.305 (IQR = 1.615–7.31). For the studies evaluating miR-21’s association with overall survival (OS), the pooled HR suggested that high level of miR-21 has a negative impact on OS (HR = 1.52[1.17–1.98], P = 0.001). As for miR-375, the pooled HR for OS (high/low) was 0.53 (95% CI: 0.39–0.73, P < 0.001), indicated that low level of miR-375 has a negative impact on OS. These results indicated that microRNAs show promising associations with prognosis in esophageal cancer. Up-regulation of miR-21 and down-regulation of miR-375 can predict unfavourable prognosis in esophageal cancer.

Introduction

Esophageal cancer (EC) is the eighth most common cancer in the world and the sixth leading cause of cancer mortality [1]. Despite treatments have been improved recently the prognoses of part EC patients are still poor. How to determine the prognosis of EC patients is key role need to be solved.

Currently, investigators have focused on the potential of microRNAs (miRNAs) to serve as biomarkers for cancer. MiRNAs are small, endogenous, non-coding RNAs with 19–24 nucleotides in length. Aberrant expression of miRNAs in cancer tissue has been reported in various types of cancers, and increasing evidence suggested the potential of miRNA as prognostic markers in cancer.

Many articles have reported promising results for miRNA classifiers in EC prognosis. However, as a kind of biomarker, miRNA in EC patients remains largely unexplored. To clarify the effect of miRNAs as prognostic biomarkers, the data from the studies providing independent assessments of miRNAs in EC were systematically evaluated and synthesized. Furthermore, we performed the meta-analysis of two specific miRNAs (miR-21 and miR-375) as important prognostic classifiers for EC.

Section snippets

Search strategy, eligibility criteria and data extraction

A comprehensive literature search was done for original articles analyzing the prognostic value of miRNAs in EC with PubMed, Embase and Web of Science. Studies were selected by using the following keywords: esophagus, miRNA, cancer, prognosis. Original and review articles published until November 2013 were sought, considering the latter as an additional source of original works otherwise overlooked [2]. Additionally, the bibliographies reported in all the selected studies were reviewed to

Eligible studies

One hundred and sixty-one records for miRNA and were identified from a primary literature search in PubMed, EMBASE and web of science. After manually screening the titles, abstracts and keywords, 131 studies were excluded because they were review articles, letters, non-English articles, laboratory studies or studies irrelevant to the current analysis. And the remaining 30 studies were evaluated in full text. Of the 30 candidate studies, 6 studies lacked the key survival data, one study’s sample

Discussion

MiRNAs were proposed as promising biomarkers for early cancer detection and accurate prognosis as well as targets for more efficient treatment. Emerging studies have demonstrated that aberrant expression of miRNAs was associated with prognosis for EC. The results of their expression feature in cancer tissues or plasma (serum) are inconsistent and controversy still exists in identifying them as new biomarkers of EC prognosis. Therefore, systemically evaluate the most frequently reported miRNAs

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    These authors contribute to this work equally.

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