Immunohistochemical Determination of p53 Protein Overexpression for Predicting p53 Gene Mutations in Hepatocellular Carcinoma: A Meta-Analysis

PLoS One. 2016 Jul 18;11(7):e0159636. doi: 10.1371/journal.pone.0159636. eCollection 2016.

Abstract

Background: Whether increased expression of the tumor suppressor protein p53 indicates a p53 gene mutation in hepatocellular carcinoma (HCC) remains unclear. We conducted a meta-analysis to determine whether p53 protein overexpression detected by immunohistochemistry (IHC) offers a diagnostic prediction for p53 gene mutations in HCC patients.

Methods: Systematic literature searches were conducted with an end date of December 2015. A meta-analysis was performed to estimate the diagnostic accuracy of IHC-determined p53 protein overexpression in the prediction of p53 gene mutations in HCC. Sensitivity, subgroup, and publication bias analyses were also conducted.

Results: Thirty-six studies were included in the meta-analysis. The results showed that the overall sensitivity and specificity for IHC-determined p53 overexpression in the diagnostic prediction of p53 mutations in HCC were 0.83 (95% CI: 0.80-0.86) and 0.74 (95% CI: 0.71-0.76), respectively. The summary positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were 2.65 (95% CI: 2.21-3.18) and 0.36 (95% CI: 0.26-0.50), respectively. The diagnostic odds ratio (DOR) of IHC-determined p53 overexpression in predicting p53 mutations ranged from 0.56 to 105.00 (pooled, 9.77; 95% CI: 6.35-15.02), with significant heterogeneity between the included studies (I2 = 40.7%, P = 0.0067). Moreover, subgroup and sensitivity analyses did not alter the results of the meta-analysis. However, potential publication bias was present in the current meta-analysis.

Conclusion: The upregulation of the tumor suppressor protein p53 was indeed linked to p53 gene mutations. IHC determination of p53 overexpression can predict p53 gene mutations in HCC patients.

Publication types

  • Meta-Analysis

MeSH terms

  • Carcinoma, Hepatocellular / diagnosis
  • Carcinoma, Hepatocellular / genetics*
  • Carcinoma, Hepatocellular / pathology
  • Gene Expression
  • Humans
  • Immunohistochemistry
  • Liver Neoplasms / diagnosis
  • Liver Neoplasms / genetics*
  • Liver Neoplasms / pathology
  • Mutation*
  • Odds Ratio
  • Predictive Value of Tests
  • Publication Bias
  • Tumor Suppressor Protein p53 / genetics*

Substances

  • Tumor Suppressor Protein p53

Grants and funding

Support was provided by 2014-0801 [http://yfy.haust.edu.cn/] from the Scientific Research Foundation for Medical Doctors First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, JL.