Article Text

Download PDFPDF

PR024/#394  Molecular profiling of P53 mutant endometrial cancer reveals distinct subgroups with opportunities for personalized therapeutic approaches
Free
  1. Felix Blanc-Durand1,
  2. Claire JH Kramer2,
  3. Etienne Rouleau3,
  4. Antoine Vasseur3,
  5. Tjalling Bosse4,
  6. Stephanie De Boer5,
  7. Richard Edmondson6,
  8. Melanie Powell7,
  9. Emma Crosbie6,
  10. Naveena Singh8,
  11. Jessica Mcalpine8,
  12. Helen Mackay9,
  13. Pamela Pollock10,
  14. Linda Mileshkin11,
  15. Clare Scott12,
  16. Yi Wan Lim13,
  17. Siew Eng Lim14,
  18. Natalie Yan Li Ngoi13,
  19. David Tan14 and
  20. Alexandra Leary1
  1. 1Institut Gustave Roussy, Medical Oncology, Villejuif, France
  2. 2Leiden University Medical Center and DGOG, Department of Pathology, Leiden, Netherlands
  3. 3Institut Gustave Roussy, Cancer Biology, Villejuif, France
  4. 4Leids Universitair Medisch Centrum (LUMC), Department of Pathology, Leiden, Netherlands
  5. 5Leiden University Medical Center, Radiation Oncology, Leiden, Netherlands
  6. 6Manchester Academic Health Science Centre, Medical Oncology, Manchester, UK
  7. 7St Bartholomew’s Hospital, Medical Oncology, London, UK
  8. 8Vancouver General Hospital, Pathology, Vancouver, Canada
  9. 9Odette Cancer Centre Sunnybrook Health Sciences Centre, Medical Oncology, Toronto, Canada
  10. 10Queenslans University of Technology, Institute of Health and Biomedical Innovation, Brisbane, Canada
  11. 11Peter MacCallum Cancer Centre, Medical Oncology, Melbourne, Australia
  12. 12Walter and Eliza Hall Medical Research Institute, Clinical Translation Centre, Melbourne, Australia
  13. 13National University Cancer Institute, Medical Oncology, Singapore, Singapore
  14. 14National University Cancer Institute Singapore, Department of Haematology-Oncology, Singapore, Singapore

Abstract

Introduction Endometrial cancer (EC) can be classified into four molecular subgroups: POLE mutant, MSI/dMMR, non-specific profiles and P53 mutant (P53mut). P53mut EC comprise ~20% of cases and have the worst prognosis. There is an urgent medical need to better understand P53mut EC in order to propose effective new therapeutic strategies.

Methods We conducted a retrospective analysis of P53abn EC patients from PORTEC3 (NCT00411138) with available DNA for a large-scale panel sequencing (Discovery Cohort). Results were confirmed on an independent cohort of EC patients (Gustave Roussy, France and National University Cancer Institute, Singapore) identified by their molecular profile using FoundationOneCDX or FoundationOne Liquid CDX panel (Validation Cohort). Molecular findings were correlated with clinicopathologic features from medical record review.

Results 39 P53abn cases were included in the discovery cohort. Molecular profiling was able to distinguish 4 mutually exclusive subgroups: CCNE1 amplified (15%), ERBB2 amplified (21%), PTEN alteration (21%) and a non-specific group. In the Validation Cohort, 71 P53mut EC patients were included. Median age was 66 years, 40% were serous, 30% endometrioid and 20% carcinosarcoma. 38% presented with primary metastatic diseases. We detected the same four molecular subgroups defined by CCNE1amp (13%), ERBB2amp (16%), and PTEN mutation or loss (34%). Only two patients (3%) harbored co-alterations. We did not observe any overall survival difference between these subgroups.

Conclusion/Implications Among P53mut EC, we detected 3 nearly mutually-exclusive molecular subgroups: CCNE1 amplified, ERBB2 amplified and PTEN loss, accounting together for 60% of cases. Whether these subgroups might benefit from personalized therapeutic strategies is currently being explored.

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.