Article Text

Download PDFPDF

2022-RA-935-ESGO Development of an academic genomic instability score for ovarian cancers
Free
  1. Raphaël Leman1,2,
  2. Etienne Muller1,
  3. Nicolas Goardon1,2,
  4. Imène Chentli1,
  5. Aurore Tranchant1,
  6. Angelina Legros1,
  7. Laurent Castera1,2,
  8. Alain Morel3,
  9. Christel Brunet4,
  10. Véronique Bocly4,
  11. Eric Fernandez4,
  12. Florence Coulet4,
  13. Catherine Genestie5,
  14. Hans-Joachim Lück6,
  15. Piera Gargiulo7,
  16. Antonio González-Martin8,
  17. Christoph Grimm9,
  18. Isabelle Ray-Coquard10,11,
  19. Eric Pujade-Lauraine10 and
  20. Dominique Vaur1,2
  1. 1Centre François Baclesse, Caen, France
  2. 2Inserm U1245, Normandie Univ, Rouen, France
  3. 3Institut de Cancérologie de l’Ouest – Paul Papin, Angers, France
  4. 4Département de Génétique, UF d’Onco-Angiogénétique et Génomique des tumeurs solides, Hôpital Pitié-Salpêtrière, Paris, France
  5. 5Gustave Roussy, Paris, France
  6. 6Gynäkologisch-Onkologische Praxis, Hannover, Germany
  7. 7Clinical Trials Unit, National Cancer Institute of Naples, Naples, Italy
  8. 8Medical Oncology Departament, Clinica Universidad de Navarra, Madrid, Spain
  9. 9Vienna General Hospital, Vienne, Austria
  10. 10Association de Recherche Cancers Gynécologiques (ARCAGY), Paris, France
  11. 11Groupe d’Investigateurs Nationaux pour l’Etude des Cancers Ovariens (GINECO), Paris, France

Abstract

Introduction/Background High-grade serous ovarian cancers with deficiency of homologous recombination DNA repair (HRD) are sensitive to the combination of bevacizumab and olaparib as maintenance therapy in PAOLA-1 trial (NCT02477644). HRD status is determined by mutational scars within tumor genome. Here, we developed a new method called GIScar (Genomic Instability Scar) suitable with the most of the academic molecular biology laboratory constraints.

Methodology We used sequencing data from a limited panel of 127 genes including genes involved in homologous recombination to detect mutational scars, i.e. chromosomic breaks, genomic deletion/duplication and allelic imbalance. The score was trained among 146 prospective samples from ovarian tumors with HRD status previously defined by Myriad Genetics® (MG). For clinical validation, we sequenced 469 DNA tumor samples from the PAOLA-1 trial and correlated GIScar status with progression free survival (PFS).

Results On the 146 prospective samples, GIScar reached an accuracy of 92.46% compared to MG HRD status, with a sensitivity of 95.38% and specificity of 90.12%. On the 469 PAOLA-1 samples, patients with GIScar HRD positive (including tBRCAm) tumors showed a significant prolonged PFS in olaparib vs placebo arm (median PFS: 38.7 vs 20.1 months, hazard ratio (HR): 0.470 [95% CI, 0.334–0.661] as well those with GIScar HRD positive tBRCAwt tumors (23.9 vs 16.4 months, HR: 0.529 [95% CI, 0.323–0.866]). Patients with negative GIScar HRD tumors did not benefit from addition olaparib (median PFS: 16.6 vs 16.5 months, HR: 1.045 [95% CI 0.757–1.441]). Furthermore, our approach reduced by 90% (4 vs 47 tumors) the number of inconclusive status compared to MG.

Conclusion GIScar demonstrated high accuracy with MG data with less inconclusive results and identifies patients who could best benefit from maintenance olaparib added to bevacizumab. GIScar test performances allow the deployment of this test in academic molecular biology laboratories.

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.