Evaluating the utility of ctDNA in detecting residual cancer and predicting recurrence in patients with serous ovarian cancer.

Authors

null

Mohammad R. Akbari

Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON, Canada

Mohammad R. Akbari , Jie Wei Zhu , Fabian Wong , Agata Szymiczek , Gabrielle Ene , Shiyu Zhang , Taymaa May , Steven A Narod , Joanne Kotsopoulos

Organizations

Women's College Research Institute, Women's College Hospital, University of Toronto, Toronto, ON, Canada, McMaster University, Hamilton, ON, Canada, Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada, Women's College Research Institute, Toronto, ON, Canada, University Health Network, Toronto, ON, Canada, Princess Margaret Cancer Centre, Toronto, ON, Canada

Research Funding

Other
Women's College Hospital Internal Fund

Background: Ovarian cancer remains the most fatal gynecological malignancy. Patients who have no visible residual disease after surgical resection have a relatively good prognosis. Among these patients, those who later succumb to their cancer are believed to harbour non-detectable cancer cells in the peritoneal cavity after treatment which later lead to recurrence. Analyzing circulating tumour DNA (ctDNA) in the blood may offer a sensitive method to detect occult (non-visible) residual disease after surgery and to predict disease recurrence. We proposed to determine the proportion of ovarian cancer patients with and without visible residual disease documented after surgery who had detectable ctDNA from their primary tumour in their blood and to evaluate if the presence of ctDNA is associated with survival. Methods: We included biological samples and clinical information from 48 women diagnosed with high-grade serous ovarian cancer. Plasma, formalin-fixed paraffin-embedded (FFPE) tumour tissue, and white blood cells were used to extract circulating free DNA (cfDNA), tumour DNA and germline DNA, respectively. The plasma sample was collected after surgery and before initiating chemotherapy. We sequenced DNA samples for a panel of 59 breast and ovarian cancer driver genes. DNA variants in matched germline and tumour DNAs were compared to determine tumour specific variants (TSVs) and cfDNA was searched for TSVs to identify the presence of ctDNA in the plasma. The Kaplan-Meier method was used to estimate overall and recurrence-free survival according to the presence or absence of ctDNA. Results: We found TSVs in 47 patients that were used for detecting ctDNA in their post-surgery plasma. Fifteen (31.9%) of the 47 patients had visible residual disease; of these, all 15 had detectable ctDNA. Among the 31 (68.1%) pateints with no visible residual disease, 24 (77.4%) patients had detectable ctDNA. Of those with no visible residual disease, those patients with detectable ctDNA in post-surgery samples had a higher mortality risk compared to those without detectable ctDNA (HR 2.32; 95% CI: 0.67-8.05), although this difference was not statistically significant (p = 0.18). Conclusions: These findings suggest potential clinical utility in ctDNA to improve upon surgical classification of the residual disease status and a potential predictor of recurrence among women with ovarian cancer. Larger studies are necessary to validate these findings.

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Abstract Details

Meeting

2022 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Gynecologic Cancer

Track

Gynecologic Cancer

Sub Track

Ovarian Cancer

Citation

J Clin Oncol 40, 2022 (suppl 16; abstr e17588)

DOI

10.1200/JCO.2022.40.16_suppl.e17588

Abstract #

e17588

Abstract Disclosures

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