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BRAK and APRIL as novel biomarkers for ovarian tumors.

Hee Yon KimBo Hee WonJae Il ChoiInha LeeJae Hoon LeeJoo Hyun ParkYoung Sik ChoiJae-Hoon KimSi Hyun ChoJong Baeck LimByung Seok Lee
Published in: Biomarkers in medicine (2022)
Aims: To evaluate BRAK and APRIL in serum samples from healthy patients and an ovarian tumor group and analyze their effective value as biomarkers. Materials & methods: BRAK and APRIL were measured in 197 serum samples including 34 healthy controls, 48 patients with benign ovarian cysts and 115 patients with ovarian cancer, and the best statistical cut-off values were calculated. Then, the sensitivity, specificity, accuracy, positive predictive value and negative predictive value for selected cut-off points were assessed. Results: The healthy control group had statistically significant higher BRAK and lower APRIL than the ovarian tumor group. BRAK was excellent for differentiating healthy patients from patients with ovarian tumors, showing area under the receiver operating characteristic curve 0.983, 98.16% sensitivity and 100% specificity. When BRAK was combined with APRIL and CA-125, it also played a role in distinguishing benign cysts from malignancies with area under the curve 0.864, 81.74% sensitivity and 79.17% specificity. Conclusions: BRAK and APRIL are good candidates for ovarian tumor biomarkers.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • peritoneal dialysis
  • prognostic factors
  • magnetic resonance imaging
  • computed tomography
  • patient reported outcomes