title: PAX1 Methylation Hallmarks Promising Accuracy for Cervical Cancer Screening in Asians: Results from a Meta-Analysis.
abstract: BACKGROUND
  DNA methylation has been proposed as a potential biomarker for cervical cancer detection. This study aimed to evaluate the diagnostic role of paired boxed gene 1 (PAX1) methylation for cervical cancer screening in Asians.
  
  
  METHODS
  Eligible studies were retrieved by searching the electronic databases, and the quality of the enrolled studies was assessed via the quality assessment for studies of diagnostic accuracy (QUADAS) tool. The bivariate meta-analysis model was employed to generate the summary receiver operator characteristic (SROC) curve using Stata 12.0 software. Cochran's Q test and I2 statistics were applied to assess heterogeneity among studies. Publication bias was evaluated by the Deeks' funnel plot asymmetry test.
  
  
  RESULTS
  A total of 9 articles containing 15 individual studies were included. The SROC analysis showed that single PAX1 methylation allowed for the discrimination between cancer/high-grade squamous intraepithelial lesion (HSIL) patients and normal individuals with a sensitivity (95% confidence interval) of 0.80 (0.70 - 0.87) and specificity of 0.89 (0.86 - 0.92), corresponding to an area under curve (AUC) of 0.92. Notably, our subgroup analysis suggested that combing parallel testing of PAX1 methylation and HPV DNA (AUC, sensitivity, and specificity of 0.90, 0.82, and 0.84, respectively) seemed to harbor higher accuracy than single HPV DNA testing (AUC, sensitivity, and specificity of 0.81, 0.86, and 0.67, respectively).
  
  
  CONCLUSIONS
  PAX1 methylation hallmarks a potential diagnostic value for cervical cancer screening in Asians, and parallel testing of PAX1 methylation and HPV in cervical scrapings confers an improved accuracy than single HPV DNA testing.
authors.forename: Ling-Ying
authors.initials: LY
authors.lastname: Kong
authors.forename: Wei
authors.initials: W
authors.lastname: Du
authors.forename: Li
authors.initials: L
authors.lastname: Wang
authors.forename: Zhi
authors.initials: Z
authors.lastname: Yang
authors.forename: Hong-Sheng
authors.initials: HS
authors.lastname: Zhang
mesh_terms: D019540:Area Under Curve; D044466:Asian People; D014408:Biomarkers, Tumor / Q000378:metabolism*; D002294:Carcinoma, Squamous Cell / Q000473:pathology; D055088:Early Detection of Cancer; D005260:Female; D006801:Humans; D008745:Methylation; D051761:Paired Box Transcription Factors / Q000235:genetics* / Q000378:metabolism*; D011379:Prognosis; D012372:ROC Curve; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D065310:Squamous Intraepithelial Lesions of the Cervix / Q000175:diagnosis; D002583:Uterine Cervical Neoplasms / Q000208:ethnology* / Q000235:genetics*
chemical_list: D014408:Biomarkers, Tumor; D051761:Paired Box Transcription Factors; C070835:PAX1 transcription factor