Investigator

Frederik O. Bagger

Head of Bioinformatics · Rigshospitalet, Genomic Medicine

FOBFrederik O. Bagger
Papers(1)
Combining Homologous …
Collaborators(4)
Lea Milling KorsholmLuca MarianiMansoor Raza MirzaMaria Rossing
Institutions(1)
University Of Copenha…

Papers

Combining Homologous Recombination-Deficient Testing and Functional RAD51 Analysis Enhances the Prediction of Poly(ADP-Ribose) Polymerase Inhibitor Sensitivity

PURPOSE To meet the urgent need for accessible homologous recombination-deficient (HRD) test options, we validated a laboratory-developed test (LDT) and a functional RAD51 assay to assess patients with ovarian cancer and predict the clinical benefit of poly(ADP-ribose) polymerase inhibitor therapy. METHODS Optimization of the LDT cutoff and validation on the basis of samples from 91 patients enrolled in the ENGOT-ov24/NSGO-AVANOVA1&2 trial (ClinicalTrials.gov identifier: NCT02354131 ), previously subjected to commercial CDx HRD testing (CDx). RAD51 foci analysis was performed and tumors with ≥five foci/nucleus were classified as RAD51-positive (homologous recombination-proficient). RESULTS The optimal LDT cutoff is 54. Comparing CDx genome instability score and LDT HRD scores show a Spearman's correlation of rho = 0.764 ( P < .0001). Cross-tabulation analysis shows that the sensitivity of the LDT HRD score is 86% and of the LDT HRD status is 91.8% (Fisher's exact test P < .001). Survival analysis on progression-free survival (PFS) of LDT-assessed patients show a Cox regression P < .05. RAD51 assays show a correlation between low RAD51 foci detection (<20% RAD51+ cells) and significantly prolonged PFS ( P < .001). CONCLUSION The robust concordance between the open standard LDT and the CDx, especially the correlation with PFS, warrants future validation and implementation of the open standard LDT for HRD testing in diagnostic settings.

88Works
1Papers
4Collaborators
1Trials

Positions

2020–

Head of Bioinformatics

Rigshospitalet · Genomic Medicine

2018–

Visiting Researcher

University of Basel

2016–

Senior Researcher

Rigshospitalet · Genomic Medicine

2015–

Researcher

European Bioinformatics Institute

Education

2015

PhD - shared

University of Copenhagen · Bioinformatics Centre, Section for Computational and RNA biology

2015

PhD - shared

Rigshospitalet · Finsen Laboratory

2015

PhD - shared

University of Copenhagen, Biotech Research and Innovation Centre · Finsen Laboratory

2011

Master of Science in Bioinformatics

Technical University of Denmark, Center for Biological Sequence Analysis · Systems Biology

2008

Bachelor of science in Biotechnology

Technical University of Denmark

Links & IDs
0000-0003-0636-8845

Scopus: 55295524900