Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster Display session

7P - Integration of whole genome sequencing (WGS) into NHS pathways for high-grade ovarian cancer (HGOC): a single-centre prospective experience

Date

23 Feb 2023

Session

Poster Display session

Presenters

Ionut Funingana

Citation

Annals of Oncology (2023) 8 (1suppl_1): 100854-100854. 10.1016/esmoop/esmoop100854

Authors

I.G. Funingana1, J. Trotman2, J. Ambrose3, T. Roberts2, J. Watkins2, M. Ridley4, B. Gilson4, S. Freeman2, M. Jimenez-Linan2, A.A. Sosinsky3, J. Tadross2, P. Tarpey2, J.D. Brenton5

Author affiliations

  • 1 University of Cambridge School of Clinical Medicine, Cambridge/GB
  • 2 Cambridge University Hospitals NHS Foundation Trust, Cambridge/GB
  • 3 Genomics England Limited, London/GB
  • 4 University of Cambridge - Clinical Oncology - R block (R4), Cambridge/GB
  • 5 CRUK - Cancer Research UK Cambridge Institute - University of Cambridge, Cambridge/GB

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 7P

Background

Current molecular testing of HGOC uses panel testing of fixed tumour tissue. Matched tumour-germline WGS is now in the NHS National Genomic Test Directory for fresh frozen (FF) samples. WGS offers significant advantages over panel tests, particularly for accurate measures of mutational processes (homologous recombination deficiency [HRD], tumour mutational burden [TMB]). We report the experience of integrating WGS into routine NHS pathways for women with HGOC between April and November 2022.

Methods

WGS of somatic (×80) and germline (×30) was performed by the NHS Genomics Medicine Sequencing Centre using Illumina chemistries. Processing of the sequence data and variant triage was performed by Genomics England WGS analysis pipeline. All patients (pts) gave written informed consent for germline and tumour testing.

Results

WGS was performed in 19 pts. After an initial 3 month run-in period using banked FF samples, prospective testing was integrated into routine care from July 22. The median time from consent to clinical reporting was 48 days (IQR 44-68). WGS results changed the diagnosis in 3 patients: 2 with image-guided biopsies were changed from HGOC to low grade subtype and 1 recurrent poorly differentiated gynaecological carcinoma had unusually high TMB and APOBEC signatures that was inconsistent with HGOC enabling compassionate use of pembrolizumab. Estimating HRD from WGS using the CHORD algorithm showed strong concordance with Myriad MyChoice (9/11; 82%). One clinically platinum-refractory case was proficient by CHORD and had a genomic instability score [GIS] of 42. The second pt had a germline deleterious BRIP1 variant with GIS 36 and was deficient by CHORD. CCNE1 amplification was only present in platinum resistant cases. Table: 7P

Median age at diagnosis (range) years 60 (36-79)
Carcinosarcoma, N 1
Clear cell, N 1
High grade serous, N 16
Poorly differentiated, N 1
Surgery
   Diagnosis, N 2
   Primary, N 6
   Recurrence, N 2
Radiology
   Diagnosis, N 6
   Recurrence, N 1

Conclusions

Biopsy pathways for FF and WGS are feasible for diagnostic pathways in the NHS. WGS offers clinically relevant measures of mutational processes in HGOC with diagnostic and predictive value.

Legal entity responsible for the study

The authors.

Funding

CRUK Cambridge Centre.

Disclosure

J.D. Brenton: Financial Interests, Personal and Institutional, Advisory Board: Tailor Bio. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.