Abstract
Introduction/Background Complete
tumor resection is the most relevant prognostic factor for overall survival in high grade serous ovarian cancer (HGSOC) patients. The current standard for classification of postoperative residual disease is surgeon´s subjective evaluation at the end of surgery. Thus, a reliable objective predictive marker is currently missing.
Methodology
In this prospective single-center study, patients with advanced HGSOC (≥ FIGO IIIA1), who underwent surgery between July 2021 and December 2022, were included. Tumor tissue from multiple intraperitoneal locations was obtained intraoperatively and blood samples were collected preoperatively, at day 2 and 10 postoperatively. Low-coverage whole genome sequencing (WGS) was used to identify structural variants (SV), single nucleotide variants (SNVs) and insertion deletions (InDels) in tumor tissue in order to develop personalized digital PCR (dPCR) fingerprint assays.
Results
In all tumor samples of the 31 included patients, dPCR assays were successfully developed and validated, with a median of 5 biomarkers (SVs and SNVs) per patient. For each patient, an individual SV profile could be established, which remained largely constant throughout multiple tumor localizations of each patient. 30/31 (97%) patients had circulating tumor DNA (ctDNA) detected at baseline before surgery at levels ranging from 0.0005% to 31% variant allele frequency. ctDNA was persistently detected in all patients with macroscopic tumor residuals. A significant decrease in ctDNA was observed in 15/20 (75%) patients with advanced HGSOC and in 6/6 (100%) patients with stage IIIA1-IIIB disease, who had macroscopic complete resection. In 8/20 (40%) patients with complete resection, ctDNA decreased below the detection limit.
Conclusion
In this feasibility study, tumor-informed ctDNA was preoperatively detectable in 97% participants. In patients with multiple tumor biopsies, the fingerprint was consistent for all tumor locations. A decrease in ctDNA detection correlated with complete tumor resection.
Disclosures
Study partially funded by SAGA Diagnostics.
tumor resection is the most relevant prognostic factor for overall survival in high grade serous ovarian cancer (HGSOC) patients. The current standard for classification of postoperative residual disease is surgeon´s subjective evaluation at the end of surgery. Thus, a reliable objective predictive marker is currently missing.
Methodology
In this prospective single-center study, patients with advanced HGSOC (≥ FIGO IIIA1), who underwent surgery between July 2021 and December 2022, were included. Tumor tissue from multiple intraperitoneal locations was obtained intraoperatively and blood samples were collected preoperatively, at day 2 and 10 postoperatively. Low-coverage whole genome sequencing (WGS) was used to identify structural variants (SV), single nucleotide variants (SNVs) and insertion deletions (InDels) in tumor tissue in order to develop personalized digital PCR (dPCR) fingerprint assays.
Results
In all tumor samples of the 31 included patients, dPCR assays were successfully developed and validated, with a median of 5 biomarkers (SVs and SNVs) per patient. For each patient, an individual SV profile could be established, which remained largely constant throughout multiple tumor localizations of each patient. 30/31 (97%) patients had circulating tumor DNA (ctDNA) detected at baseline before surgery at levels ranging from 0.0005% to 31% variant allele frequency. ctDNA was persistently detected in all patients with macroscopic tumor residuals. A significant decrease in ctDNA was observed in 15/20 (75%) patients with advanced HGSOC and in 6/6 (100%) patients with stage IIIA1-IIIB disease, who had macroscopic complete resection. In 8/20 (40%) patients with complete resection, ctDNA decreased below the detection limit.
Conclusion
In this feasibility study, tumor-informed ctDNA was preoperatively detectable in 97% participants. In patients with multiple tumor biopsies, the fingerprint was consistent for all tumor locations. A decrease in ctDNA detection correlated with complete tumor resection.
Disclosures
Study partially funded by SAGA Diagnostics.
| Original language | English |
|---|---|
| Pages (from-to) | A38-A39 |
| Number of pages | 2 |
| Journal | International Journal of Gynecological Cancer |
| Volume | 33 |
| DOIs | |
| Publication status | Published - 2023 Sept 27 |
| Externally published | Yes |
Subject classification (UKÄ)
- Cancer and Oncology
Free keywords
- Ovarian cancer
- Gynecological cancer disease
- Minimal residual disease
- Liquid biopsy
- ctDNA
