4.1 Article

Limited Diagnostic Value of microRNAs for Detecting Colorectal Cancer: A Meta-analysis

Journal

ASIAN PACIFIC JOURNAL OF CANCER PREVENTION
Volume 14, Issue 8, Pages 4699-4704

Publisher

ASIAN PACIFIC ORGANIZATION CANCER PREVENTION
DOI: 10.7314/APJCP.2013.14.8.4699

Keywords

Colorectal cancer; microRNAs; diagnostic; meta-analysis

Categories

Funding

  1. National Natural Science Foundation of China [81271916]
  2. Shandong Province Natural Science Foundation of China [ZR2010H004]

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Background: MicroRNAs have been demonstrated to play important roles in the development and progression of colorectal cancer. Several studies utilizing microRNAs as diagnostic biomarkers for colorectal cancer (CRC) have been reported. The aim of this meta-analysis was to comprehensively and quantitatively summarize the diagnostic value of microRNAs for detecting colorectal cancer. Methods: We searched PubMed, Embase and Cochrane Library for published studies that used microRNAs as biomarkers for the diagnosis of colorectal cancer. Summary estimates for sensitivity, specificity and other measures of accuracy of microRNAs in the diagnosis of colorectal cancer were calculated using the bivariate random effects model. A summary receiver operating characteristic (SROC) curve was also generated to summarize the overall effectiveness of the test. Result: Thirteen studies from twelve published articles met the inclusion criteria and were included. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odd ratio of microRNAs for the diagnosis of colorectal cancer were 0.81 (95% CI: 0.79-0.84), 0.78 (95% CI: 0.75-0.82), 4.14 (95% CI: 2.90-5.92), 0.24(95% CI: 0.19-0.30), and 19.2 (95% CI: 11.7-31.5), respectively. The area under the SROC curve was 0.89. Conclusions: The current evidence suggests that the microRNAs test might not be used alone as a screening tool for CRC. Combining microRNAs testing with other conventional tests such as FOBT may improve the diagnostic accuracy for detecting CRC.

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