title: Biomarkers for predicting complete debulking in ovarian cancer: lessons to be learned.
abstract: OBJECTIVE
  We aimed to construct and validate a model based on biomarkers to predict complete primary debulking surgery for ovarian cancer patients.
  
  
  METHODS
  The study consisted of three parts: Part I: Biomarker data obtained from mass spectrometry, baseline data and, surgical outcome were used to construct predictive indices for complete tumour resection; Part II: sera from randomly selected patients from part I were analyzed using enzyme-linked immunosorbent assay (ELISA) to investigate the correlation to mass spectrometry; Part III: the indices from part I were validated in a new cohort of patients.
  
  
  RESULTS
  Part I: The area under the receiver operating characteristic curve (AUC) was 0.82 for both indices. Part II: Linear regression analysis gave an R(2) value of 0.52 and 0.63 for transferrin and β2-microglobulin, respectively. Part III: The AUC of the two indices decreased to 0.64.
  
  
  CONCLUSIONS
  Our validated model based on biomarkers was unable to predict surgical outcome for patients with ovarian cancer.
authors: Department of Gynaecology, Section 7821, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, Copenhagen 2100, Denmark. carstenlo@gmail.com.
authors: Carsten Lindberg
authors: CL
authors: Fagö-Olsen
authors: Bent
authors: B
authors: Ottesen
authors: Ib Jarle
authors: IJ
authors: Christensen
authors: Estrid
authors: E
authors: Høgdall
authors: Lene
authors: L
authors: Lundvall
authors: Lotte
authors: L
authors: Nedergaard
authors: Svend-Aage
authors: SA
authors: Engelholm
authors: Sofie Leisby
authors: SL
authors: Antonsen
authors: Magnus
authors: M
authors: Lydolph
authors: Claus
authors: C
authors: Høgdall
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis* / Q000378:metabolism; D015331:Cohort Studies; D004797:Enzyme-Linked Immunosorbent Assay; D005260:Female; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D013058:Mass Spectrometry; D015233:Models, Statistical; D010051:Ovarian Neoplasms / Q000097:blood / Q000737:chemistry* / Q000378:metabolism / Q000601:surgery; D011237:Predictive Value of Tests
chemical_list: D014408:Biomarkers, Tumor
keywords: Ovarian cancer; biomarkers; diagnostic accuracy; primary debulking surgery; proteomics; residual tumour