Abstract 1988: Detection of minimal residual disease using cell free plasma DNA to guide maintenance therapy in high grade serous ovarian cancer
Purpose: Optimal maintenance strategy following re-challenge with platinum-based chemotherapy in patients with relapsed high grade serous ovarian cancer (HGSOC) after PARP inhibitor (PARPi) therapy remains to be established. Use of cell-free DNA (cfDNA) sequencing to detect minimal residual disease (MRD) has emerged as a promising strategy to identify patients at higher risk of relapse who might benefit from more timely, additional treatment. Methods: Nineteen patients with histologically confirmed TP53 mutant HGSOC with platinum sensitive relapse were enrolled into an interventional cfDNA study selecting for patients with confirmed MRD (NCT04510584). Each patient provided a blood sample at the end of standard-of-care platinum treatment (pre or post cycle 6) from which cfDNA was analyzed using targeted sequencing (10,000X coverage) using a 10 gene panel. As a comparator, 30X cell-free whole genome sequencing (cfWGS) was performed for tumour-informed genome-wide mutational sampling benchmarked against 13 platinum-sensitive HGSOC patients and 25 healthy controls. Results: The targeted panel approach detected a somatic TP53 mutation in 1/19 patients above the limit of detection of 1%. In contrast, 30X cfWGS identified evidence of MRD in 8/19 patients (47%) with detection of 319-2,327 known somatic mutations sampled genome-wide (including single-read evidence for 4 somatic TP53 mutations). Genome-wide fragmentomics approaches further identified MRD in 17/19 platinum-resistant patients (89%). Conclusions: cfWGS can be used to examine numerous features capable of identifying patients likely to experience rapid relapse of high grade serous ovarian cancer. Citation Format: Pamela Soberanis Pina, Stephenie D. Prokopec (co-primary author), Eduardo Gonzalez Ochoa, Derek Wong, Tracy Stockley, Amit Oza, Neesha C. Dhani, Robert C. Grant, Nitthusha Singaravelan, Alexander Fortuna, Bernard Lam, Ilinca Lungu, Madhuran Thiagarajah, Faridah Mbabaali, Sharanjit Singh, Danny Xie, Steven Siman, Judy Quintos, Valerie Bowering, Lisa Wang, Stephanie Lheureux (co-corresponding author), Trevor Pugh (co-corresponding author). Detection of minimal residual disease using cell free plasma DNA to guide maintenance therapy in high grade serous ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1988.
Authors
- Derek Wong (ORCID: https://orcid.org/0000-0003-2607-5265)
- Neesha C. Dhani (ORCID: https://orcid.org/0000-0002-0410-6932)
- Valerie Bowering (ORCID: https://orcid.org/0000-0003-0910-5186)
- Nitthusha Singaravelan
- Madhuran Thiagarajah (ORCID: https://orcid.org/0000-0002-5325-4034)
- Lisa Wang (ORCID: https://orcid.org/0000-0001-9726-0383)
- Faridah Mbabaali
- Tracy Stockley (ORCID: https://orcid.org/0000-0002-4476-9722)
- Steven Siman
- Enrique Ochoa
- Bernard Lam (ORCID: https://orcid.org/0000-0002-6437-6491)
- Alexander Fortuna (ORCID: https://orcid.org/0000-0002-5587-2151)
- Sharanjit Singh (ORCID: https://orcid.org/0009-0001-7202-113X)
- Trevor J. Pugh (ORCID: https://orcid.org/0000-0002-8073-5888)
- Amit M. Oza (ORCID: https://orcid.org/0000-0002-9510-8641)
- Stephenie D. Prokopec (ORCID: https://orcid.org/0000-0001-7936-8577)
- Danny F. Xie (ORCID: https://orcid.org/0000-0001-9838-5268)
- Ilinca M. Lungu (ORCID: https://orcid.org/0000-0002-9996-5771)
- Judy Quintos
- Robert C. Grant (ORCID: https://orcid.org/0000-0002-9821-0377)
- Pamela Soberanis Pina (ORCID: https://orcid.org/0000-0002-6228-1800)
- Stéphanie Lheureux
Institutions
- Ontario Institute for Cancer Research (CA)
- Princess Margaret Cancer Centre (CA)
Publication Details
- Journal
- Cancer Research
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1158/1538-7445.am2025-1988
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00