Multicenter evaluation of blood-based biomarkers for the detection of endometriosis and adenomyosis: A prospective non-interventional study

Int J Gynaecol Obstet. 2024 Jan;164(1):305-314. doi: 10.1002/ijgo.15062. Epub 2023 Aug 28.

Abstract

Objective: To evaluate blood-based biomarkers to detect endometriosis and/or adenomyosis across nine European centers (June 2014-April 2018).

Methods: This prospective, non-interventional study assessed the diagnostic accuracy of 54 blood-based biomarker immunoassays in samples from 919 women (aged 18-45 years) with suspicion of endometriosis and/or adenomyosis versus symptomatic controls. Endometriosis was stratified by revised American Society for Reproductive Medicine stage. Symptomatic controls were "pathologic symptomatic controls" or "pathology-free symptomatic controls". The main outcome measure was receiver operating characteristic-area under the curve (ROC-AUC) and Wilcoxon P values corrected for multiple testing (q values).

Results: CA-125 performed best in "all endometriosis cases" versus "all symptomatic controls" (AUC 0.645, 95% confidence interval [CI] 0.600-0.690, q < 0.001) and increased (P < 0.001) with disease stage. In "all endometriosis cases" versus "pathology-free symptomatic controls", S100-A12 performed best (AUC 0.692, 95% CI 0.614-0.769, q = 0.001) followed by CA-125 (AUC 0.649, 95% CI 0.569-0.729, q = 0.021). In "adenomyosis only cases" versus "symptomatic controls" or "pathology-free symptomatic controls", respectively, the top-performing biomarkers were sFRP-4 (AUC 0.615, 95% CI 0.551-0.678, q = 0.045) and S100-A12 (AUC 0.701, 95% CI 0.611-0.792, q = 0.004).

Conclusion: This study concluded that no biomarkers tested could diagnose or rule out endometriosis/adenomyosis with high certainty.

Keywords: CA-125; S100-A12; adenomyosis; blood-based biomarkers; diagnosis; endometriosis; sFRP-4.

Publication types

  • Multicenter Study

MeSH terms

  • Adenomyosis* / diagnosis
  • Adenomyosis* / pathology
  • Biomarkers
  • Endometriosis* / diagnosis
  • Female
  • Humans
  • Prospective Studies
  • ROC Curve

Substances

  • Biomarkers

Grants and funding