Journal of Capital Medical University ›› 2017, Vol. 38 ›› Issue (4): 559-565.doi: 10.3969/j.issn.1006-7795.2017.04.014

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Comparison of DNA hypermethylation of tumor suppressor genes as diagnostic biomarkers in screening and auxiliary detection of breast cancer: an indirect comparison Meta-analysis

Liu Di, Zhao Zhongyao, Sun Qi, Wang Youxin   

  1. Beijing Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing 100069, China
  • Received:2016-10-25 Online:2017-07-21 Published:2017-07-20
  • Supported by:
    This study was supported by National Natural Science Foundation of China (81673247, 81370083, 81530087), Beijing Nova Program (Z141107001814058)

Abstract: Objective To assess the comparative efficacy of diagnostic accuracy of DNA methylation biomarkers for the screening and detection of breast cancer, we conducted an indirect comparison Meta-analysis of published reports. Methods Databases including the Cochrane Library, PubMed, EMbase, Chinese BioMedical Literature Database (CBM), Web of Science, China National Knowledge Infrastructure (CNKI) and WanFang Data were searched to collect the diagnostic trials on the Meta-analysis of aberrant DNA hypermethylation for breast cancer published until October 2016. The indirect comparison Meta-analysis was used to evaluate the diagnostic value of the included genes, and the Meta-analysis was conducted via Review manager 5.3 software. Results Ten Meta-analysis of 130 original studies were included. In summary of Meta-analysis, compared with others gene, methylation of phosphatase and tensin homolog gene (PTEN) [iodds ratio (OR)=66.16 (24.48-178.82)], methylation of Runt-related transcription factor 3 gene (RUNX3) [OR=28.88 (15.48-54.25)] had greater risk in breast cancer. Although breast cancer 1 gene (BRCA1)OR=2.11 (1.88-2.35)] was the smallest risk for breast cancer, the weight of BRCA1 gene was up to 57.1% in all the Meta. According to the sensitivity, compared with others gene, RUNX3 [0.62 (0.56-0.67)] was the largest, followed by fragile histidine triad protein gene (FHIT) [0.59 (0.54-0.63)], but the specificity of RUNX3 [0.95 (0.91-0.97)] was greater than FHIT [0.65 (0.61-0.69)]. Comprehensive sensitivity and specificity of ten genes, the largest value of RUNX3 in the diagnosis of breast cancer was found. Conclusion We advocate that RUNX3 and BRCA1 gene methylation can be used in the screening and auxiliary detection of breast cancer.

Key words: breast cancer, methylation, diagnostic test, indirect comparison, Meta-analysis

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