Abstract
Recently, there are more and more evidences from studies have revealed the association between microRNA-9 (miR-9) expression and outcome in multiple cancers, but inconsistent results have also been reported. It is necessary to rationalize a meta analysis of all available data to clarify the prognostic role of miR-9. Eligible studies were selected through multiple search strategies and the quality was assessed by MOOSE. Data was extracted from studies according to the key statistics index. All analyses were performed using STATA software. Twenty studies were selected in the meta-analysis to evaluate the prognostic role of miR-9 in multiple tumors. MiR-9 expression level was an independent prognostic biomarker for OS in tumor patients using multivariate and univariate analyses. High expression levels of miR-9 was demonstrated to associated with poor overall survival (OS) (HR = 2.23, 95 % CI: 1.56–3.17, P < 0.05) and recurrence free survival/progress free survival (RFS/PFS) (HR = 2.08, 95 % CI: 1.33–3.27, P < 0.05). Subgroup analysis showed that residence region (China and Japan), sample size, cancer type (solid or leukemia), follow-up months and analysis method (qPCR) did not alter the predictive value of miR-9 on OS in various cancers. Furthermore, no significant associations were detected for miR-9 expression and lymph node metastasis or distant metastasis. The present results suggest that promoted miR-9 expression is associated with poor OS in patients with general cancers.
Highlights
Cancer is the most serious disease and the leading cause of death for human health over the past decade [1]
Even though tremendous progresses have been made in recent years, tumor node metastasis (TNM) stage and grade, tumor size, demographics, high rates of recurrence and drug resistance are still widely used to determine the prognosis of cancer
A total of 1266 studies were retrieved from an initial online literature search that related to the prognosis and metastasis of miR-9 and cancer
Summary
Cancer is the most serious disease and the leading cause of death for human health over the past decade [1]. Even though tremendous progresses have been made in recent years, tumor node metastasis (TNM) stage and grade, tumor size, demographics, high rates of recurrence and drug resistance are still widely used to determine the prognosis of cancer. The mechanism of oncogenesis and tumor progression is still not fully elucidated, which restrict the prognosis and metastasis prediction of cancer patients. Many scientists endeavored to cancer diagnosis, prognosis, and treatment because effective prognostic markers and therapeutic methods used for tumor therapy and prevention have not been discovered. It is critical to finding a convenient and effective biomarker with high accuracy prognostic value for cancer patients to improve the survival status
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