Aurélie Dumont, Dominique Vaur, Eric Pujade-Lauraine, Isabelle Ray-Coquard, Catherine Genestie, Hans-Joachim Lück, Piera Gargiulo, Antonio González-Martin, Katharina Leitner, Etienne Rouleau, Louise-Marie Chevalier, Florence Coulet, Noémie Basset, Raphaël Leman, Romain Boucly, Florence Joly, Flavie Boulouard, Agathe Ricou, Sophie Krieger, Laurent Castera, Aurore Tranchant, Alexandre Atkinson, Imène Chentli, Nicolas Goardon, Angelina Legros, Etienne Muller
Journal: Clinical cancer research : an official journal of the American Association for Cancer Research 2023;29(21):4419-4429
PMID: 37756555
PURPOSE
The optimal application of maintenance PARP inhibitor therapy for ovarian cancer requires accessible, robust, and rapid testing of homologous recombination deficiency (HRD). However, in many countries, access to HRD testing is problematic and the failure rate is high. We developed an academic HRD test to support treatment decision-making.
EXPERIMENTAL DESIGN
Genomic Instability Scar (GIScar) was developed through targeted sequencing of a 127-gene panel to determine HRD status. GIScar was trained from a noninterventional study with 250 prospectively collected ovarian tumor samples. GIScar was validated on 469 DNA tumor samples from the PAOLA-1 trial evaluating maintenance olaparib for newly diagnosed ovarian cancer, and its predictive value was compared with Myriad Genetics MyChoice (MGMC).
RESULTS
GIScar showed significant correlation with MGMC HRD classification (kappa statistics: 0.780). From PAOLA-1 samples, more HRD-positive tumors were identified by GIScar (258) than MGMC (242), with a lower proportion of inconclusive results (1% vs. 9%, respectively). The HRs for progression-free survival (PFS) with olaparib versus placebo were 0.45 [95% confidence interval (CI), 0.33-0.62] in GIScar-identified HRD-positive BRCA-mutated tumors, 0.50 (95% CI, 0.31-0.80) in HRD-positive BRCA-wild-type tumors, and 1.02 (95% CI, 0.74-1.40) in HRD-negative tumors. Tumors identified as HRD positive by GIScar but HRD negative by MGMC had better PFS with olaparib (HR, 0.23; 95% CI, 0.07-0.72).
CONCLUSIONS
GIScar is a valuable diagnostic tool, reliably detecting HRD and predicting sensitivity to olaparib for ovarian cancer. GIScar showed high analytic concordance with MGMC test and fewer inconclusive results. GIScar is easily implemented into diagnostic laboratories with a rapid turnaround.
©2023 The Authors; Published by the American Association for Cancer Research.
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