Chengrui Fu1, Wei Dong2, Zhiwu Wang2, Hongsheng Li3, Qin Qin3, Baosheng Li4. 1. Sixth Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, China; School of Medicine and Life Sciences, University of Jinan - Shandong Academy of Medical Sciences, Jinan, Shandong Province, China. 2. Sixth Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, China; Department of Radiation Oncology, Cancer Hospital, Tianjin Medical University, Tianjin Province, China. 3. Sixth Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, China. 4. Sixth Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, Shandong Province, China. Electronic address: baoshli@yahoo.com.
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.
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.
Authors: Ali H Zaidi; Lindsey T Saldin; Lori A Kelly; Linda Bergal; Ricardo Londono; Juliann E Kosovec; Yoshihiro Komatsu; Pashtoon M Kasi; Amit A Shetty; Timothy J Keane; Shyam J Thakkar; Luai Huleihel; Rodney J Landreneau; Stephen F Badylak; Blair A Jobe Journal: PLoS One Date: 2015-03-31 Impact factor: 3.240