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Original Research

miR-203 as a novel biomarker for the diagnosis and prognosis of colorectal cancer: a systematic review and meta-analysis

, , , &
Pages 3685-3696 | Published online: 21 Jul 2017
 

Abstract

We sought to systematically evaluate the diagnostic and prognostic value of miR-203 in patients with colorectal cancer. To explore the diagnostic performance of miR-203, eligible studies were identified from biomedical databases. Based on these results, 11 studies were pooled and included in this meta-analysis. The pooled sensitivity, specificity, and diagnostic odds ratios of miR-203 were 0.83 (95% confidence interval, CI: 0.78–0.86), 0.80 (95% CI: 0.77–0.83), and 19.27 (95% CI: 7.23–51.36) for the diagnosis of colorectal cancer. The area under the curve for miR-203 for diagnosing colorectal cancer was 0.89. Patients with higher expression of tissue miR-203 had poor overall survival (pooled hazard ratio: 1.63; 95% CI: 1.03–2.57, P=0.04), but serum miR-203 was not predictive (pooled hazard ratio: 1.59; 95% CI: 0.31–8.12, P=0.58). The miR-203 values of tissue and serum merged together may perhaps predict superior overall survival (pooled hazard ratio: 1.62; 95% CI: 0.93–2.82), but the effect was not significant (P=0.09).

Supplementary materials

Figure S1 miR-203 diagnostic analysis based on the eligible studies.

Notes: (A) Fagan’s nomogram describes the possibility of miR-203 assay to confirm or exclude cancer patients. In detail, for any people with a pretest probability of 20% to have cancers, if the miR-203 test in cancer detection was positive, the posttest probability to have cancer would rise to 54%; while a negative result of miR-203 assay meant the posttest probability would drop to 5% for the same people. Hence, miR-203 assay may play an important role as an initial screening method for cancer. (B) The overall distribution of studies is summarized in the likelihood matrix. Each corresponds to a study., Sheinerman et alCitation34 was on the bottom left side of the matrix, indicating a sensitive “rule out” test. However, it reported reasonable sensitivity with incorporation bias from knowledge of a desaturation study outcome.

Abbreviations: RUQ, upper right quadrant; LUQ, upper left quadrant; RLQ, lower right quadrant; LLQ, lower left quadrant; LRN, negative likelihood ratio; LRP, positive likelihood ratio; NLR, negative likelihood ratio; PLR, positive likelihood ratio; prob, probability.

Figure S1 miR-203 diagnostic analysis based on the eligible studies.Notes: (A) Fagan’s nomogram describes the possibility of miR-203 assay to confirm or exclude cancer patients. In detail, for any people with a pretest probability of 20% to have cancers, if the miR-203 test in cancer detection was positive, the posttest probability to have cancer would rise to 54%; while a negative result of miR-203 assay meant the posttest probability would drop to 5% for the same people. Hence, miR-203 assay may play an important role as an initial screening method for cancer. (B) The overall distribution of studies is summarized in the likelihood matrix. Each corresponds to a study.⑦, Sheinerman et alCitation34 was on the bottom left side of the matrix, indicating a sensitive “rule out” test. However, it reported reasonable sensitivity with incorporation bias from knowledge of a desaturation study outcome.Abbreviations: RUQ, upper right quadrant; LUQ, upper left quadrant; RLQ, lower right quadrant; LLQ, lower left quadrant; LRN, negative likelihood ratio; LRP, positive likelihood ratio; NLR, negative likelihood ratio; PLR, positive likelihood ratio; prob, probability.

Figure S2 The sensitivity analysis based on the studies for prognosis of OS.

Notes: Forest plot for the sensitivity analysis shows the results of the meta-analysis did not change after the removal of any one paper. (A) The nine survival data from CRC tissue and serum; (B) six survival data from CRC serum.

Abbreviations: CRC, colorectal cancer; OS, overall survival.

Figure S2 The sensitivity analysis based on the studies for prognosis of OS.Notes: Forest plot for the sensitivity analysis shows the results of the meta-analysis did not change after the removal of any one paper. (A) The nine survival data from CRC tissue and serum; (B) six survival data from CRC serum.Abbreviations: CRC, colorectal cancer; OS, overall survival.

Figure S3 The publication bias based on the studies for prognosis of OS.

Notes: Publication bias from Begg’s test is shown by funnel plots. Every point represents one study. (A) The nine survival data from CRC tissue and serum; (B) six survival data from CRC serum.

Abbreviations: CRC, colorectal cancer; Inhr, In hazard ratio; OS, overall survival; SE, standard error.

Figure S3 The publication bias based on the studies for prognosis of OS.Notes: Publication bias from Begg’s test is shown by funnel plots. Every point represents one study. (A) The nine survival data from CRC tissue and serum; (B) six survival data from CRC serum.Abbreviations: CRC, colorectal cancer; Inhr, In hazard ratio; OS, overall survival; SE, standard error.

References

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Acknowledgments

We thank the Charlesworth Author Service’s language editing service for editing the manuscript.

Disclosure

The authors report no conflicts of interest in this work.