Diagnostic accuracy of ELISA for detecting serum Midkine in cancer patients

PLoS One. 2017 Jul 7;12(7):e0180511. doi: 10.1371/journal.pone.0180511. eCollection 2017.

Abstract

Midkine (MK) has been reported as the potential novel diagnostic biomarker for cancer in several studies, but their results were controversial. Therefore, we performed a diagnostic meta-analysis to assess the diagnostic value of serum MK in cancer patients. A systematic electronic and manual search was performed for relevant literatures through several databases up to June 1, 2017. The quality of the studies included in the meta-analysis was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. All analyses were conducted using stata12.0 software. Ten studies collectively included 1119 cancer patients and 1441 controls met the eligible criteria. The summary estimates were: sensitivity 0.78 (95% CI = 0.68-0.85), specificity 0.83 (95% CI = 0.72-0.90), positive likelihood ratio 4,54 (95% CI = 2.64-7.80), negative likelihood 0.27 (95% CI = 0.18-0.40), diagnostic odds ratio 16.79 (95% CI = 7.17-39.33), and area under the curve 0.87 (95% CI = 0.84-0.89). Publication bias was suggested by Deeks' funnel plot asymmetry test (P = 0.92). According to our results, serum MK has greater diagnostic value in diagnosing cancer, however, more reliable studies in larger cohort should be conducted to evaluate the diagnostic accuracy of serum MK.

Publication types

  • Meta-Analysis

MeSH terms

  • Biomarkers, Tumor / blood*
  • Enzyme-Linked Immunosorbent Assay
  • Humans
  • Midkine
  • Neoplasms / blood*
  • Neoplasms / pathology
  • Nerve Growth Factors / blood*

Substances

  • Biomarkers, Tumor
  • MDK protein, human
  • Nerve Growth Factors
  • Midkine

Grants and funding

This work was supported by the National Natural Science Foundation of China (81670270) and Scientific Research Project of Shanxi Provincial Department of Health (201601070).