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Implementation of Multigene Germline and Parallel Somatic Genetic Testing in Epithelial Ovarian Cancer: SIGNPOST Study

  • Dhivya Chandrasekaran
  • , Monika Sobocan
  • , Oleg Blyuss
  • , Rowan E. Miller
  • , Olivia Evans
  • , Shanthini M. Crusz
  • , Tina Mills-Baldock
  • , Li Sun
  • , Rory F. L. Hammond
  • , Faiza Gaba
  • , Lucy A. Jenkins
  • , Munaza Ahmed
  • , Ajith Kumar
  • , Arjun Jeyarajah
  • , Alexandra C. Lawrence
  • , Elly Brockbank
  • , Saurabh Phadnis
  • , Mary Quigley
  • , Fatima El Khouly
  • , Rekha Wuntakal
  • Asma Faruqi, Giorgia Trevisan, Laura Casey, George J. Burghel, Helene Schlecht, Michael Bulman, Philip Smith, Naomi L. Bowers, Rosa Legood, Michelle Lockley, Andrew Wallace, Naveena Singh, D Gareth Evans, Ranjit Manchanda* (Corresponding Author)
*Corresponding author for this work
  • Queen Mary University of London
  • Barts Health NHS Trust
  • University Medical Centre Maribor
  • University of Hertfordshire
  • Sechenov First Moscow State Medical University
  • Barking, Havering and Redbridge University Hospitals NHS Trust
  • Great Ormond Street Hospital for Children NHS Trust
  • Tata Institute of Fundamental Research
  • Saint Marys Hospital
  • London School of Hygiene and Tropical Medicine
  • University College London

Research output: Contribution to journalArticlepeer-review

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Abstract

We present findings of a cancer multidisciplinary-team (MDT) coordinated mainstreaming pathway of unselected 5-panel germline BRCA1/BRCA2/RAD51C/RAD51D/BRIP1 and parallel somatic BRCA1/BRCA2 testing in all women with epithelial-OC and highlight the discordance between germline and somatic testing strategies across two cancer centres. Patients were counselled and consented by a cancer MDT member. The uptake of parallel multi-gene germline and somatic testing was 97.7%. Counselling by clinical-nurse-specialist more frequently needed >1 consultation (53.6% (30/56)) compared to a medical (15.0% (21/137)) or surgical oncologist (15.3% (17/110)) (p < 0.001). The median age was 54 (IQR = 51–62) years in germline pathogenic-variant (PV) versus 61 (IQR = 51–71) in BRCA wild-type (p = 0.001). There was no significant difference in distribution of PVs by ethnicity, stage, surgery timing or resection status. A total of 15.5% germline and 7.8% somatic BRCA1/BRCA2 PVs were identified. A total of 2.3% patients had RAD51C/RAD51D/BRIP1 PVs. A total of 11% germline PVs were large-genomic-rearrangements and missed by somatic testing. A total of 20% germline PVs are missed by somatic first BRCA-testing approach and 55.6% germline PVs missed by family history ascertainment. The somatic testing failure rate is higher (23%) for patients undergoing diagnostic biopsies. Our findings favour a prospective parallel somatic and germline panel testing approach as a clinically efficient strategy to maximise variant identification. UK Genomics test-directory criteria should be expanded to include a panel of OC genes.
Original languageEnglish
Article number4344
Number of pages17
JournalCancers
Volume13
Issue number17
Early online date27 Aug 2021
DOIs
Publication statusPublished - Sept 2021
Externally publishedYes

Bibliographical note

Acknowledgments: D.G.E. is supported by the Manchester NIHR Biomedical Research Centre (IS- BRC-1215-20007). OB thanks the Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Center „Digital biodesign and personalized healthcare” 075-15-2020-926.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author, R.M., upon reasonable request.

Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/cancers13174344/s1, Table S1: List of variants identified through germline and somatic testing.

Funding

The study is funded by The Barts Charity, grant ECMG1B6R. D.G.E. is supported by the Manchester NIHR Biomedical Research Centre (IS- BRC-1215-20007).

FundersFunder number
The Barts Charity ECMG1B6R
National Institute for Health and Care ResearchIS- BRC-1215-20007

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • ovarian cancer
    • BRCA
    • genetic testing
    • germline
    • somatic
    • RAD51C
    • RAD51D
    • BRIP1

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