The LIQOMICS Liquid Biopsy Knowledge Base
Disclaimer:

This content was compiled with AI assistance and is for educational and informational purposes only. The information presented here should not replace professional medical advice. Always consult with qualified healthcare providers for medical advice and treatment decisions.

Ovarian Cancer

ctDNA for MRD Detection and Early Recurrence Surveillance in Epithelial Ovarian Cancer

Clinical Overview

Epithelial ovarian cancer (EOC) represents one of the most promising applications for ctDNA-based minimal residual disease (MRD) monitoring, with recent prospective studies demonstrating powerful prognostic stratification and exceptional lead times for recurrence detection. Despite the anatomical challenges of peritoneal dissemination, tumor-informed ctDNA testing achieves 93-100% baseline sensitivity and provides a median lead time of 5.9-10 months before radiographic recurrence—among the longest of any solid tumor.

The 2024-2025 data from multiple independent cohorts has established MRD-positive status after primary treatment as one of the strongest predictors of early recurrence, with hazard ratios ranging from 5.3 to 6.7 for progression-free survival. These findings position ctDNA surveillance as a complementary tool to CA-125 monitoring, offering superior specificity and earlier detection than traditional serum markers.

Key Clinical Applications:

  • Post-Surgical MRD Detection: 93-100% baseline detection rate; HR 5.3-6.7 for recurrence risk
  • Early Recurrence Detection: Median lead time 5.9-10 months before imaging (CT/MRI)
  • Complementary to CA-125: 100% sensitivity and specificity in post-surgical relapse detection
  • Treatment Response Monitoring: Real-time assessment of therapy effectiveness
  • Longitudinal Surveillance: Serial monitoring during follow-up identifies molecular relapse

Emerging Evidence (2024-2025): Multiple prospective studies now demonstrate that ctDNA MRD detection after primary therapy powerfully predicts progression-free survival. MRD-positive patients at end of treatment have 5-7 times higher risk of progression, with ctDNA positivity preceding radiographic recurrence by an average of 5.9-10 months. This extended lead time creates a critical window for potential therapeutic intervention.

ctDNA Testing Methodology

Tumor-Informed Approach for Ovarian Cancer

Ovarian cancer ctDNA testing employs tumor-informed approaches using baseline samples (tissue from surgery or baseline plasma) to identify patient-specific mutations, then tracking those mutations at subsequent timepoints for MRD monitoring.

Tumor-Informed (Baseline-Based) Approach:

  • Baseline Sample: Tissue biopsy from surgical debulking or baseline blood draw analyzed to identify patient-specific mutations
  • Surveillance: Serial blood draws at defined intervals (typically every 3 months) to track those identified mutations
  • Baseline Detection: 93-100% sensitivity at diagnosis
  • MRD Sensitivity: Post-surgically detects relapse with 100% sensitivity and specificity in prospective studies
  • Detection Threshold: Highly sensitive detection down to 0.001-0.01% variant allele frequency

Clinical Consideration: The tumor-informed approach provides maximal sensitivity for MRD detection in ovarian cancer. By identifying patient-specific mutations at baseline, this method achieves the high sensitivity needed to detect minimal residual disease in the post-surgical setting and enables early detection of molecular relapse during surveillance.

LIQOMICS Testing Solutions for Ovarian Cancer

CancerVista offers tumor-informed ctDNA testing for Ovarian Cancer enabling MRD detection after debulking surgery and therapy response monitoring.

Key Features:

  • Baseline profiling from tissue biopsy or plasma sample
  • Ultra-high sensitivity for MRD detection
  • Tracks patient-specific mutations for specific and precise MRD quantification
  • Enables ctDNA-guided therapy decisions
  • Allows early relapse detection during surveillance

Learn More About CancerVista →

MRD Detection: Prognostic Significance

Post-Treatment ctDNA as Predictor of Recurrence

Detection of ctDNA after completion of primary therapy (surgery ± chemotherapy) identifies patients at markedly elevated risk of disease recurrence. Multiple 2024-2025 prospective studies have established post-treatment ctDNA status as one of the most powerful prognostic factors in ovarian cancer.

Clinical Cancer Research 2025 Study (95 Patients)

A prospective study of 95 ovarian cancer patients evaluated both surgical MRD (second-look laparoscopy, SLL) and ctDNA testing to assess prognostic value.

Key Findings:

  • ctDNA Positivity Rate: 34% (15/44) of patients with available ctDNA testing were MRD-positive
  • Progression-Free Survival:
    • ctDNA-positive: 6.4 months median PFS
    • ctDNA-negative: 28.1 months median PFS
    • P < 0.001
  • Overall Survival:
    • ctDNA-positive: 32.4 months median OS
    • ctDNA-negative: Not reached
    • P = 0.008
  • Surgical MRD (SLL): Also prognostic with HR 4.40 for OS (95% CI 1.37-14.21, p=0.013)

Gynecologic Oncology 2024/2025 Study (31 Patients)

Landmark analysis of MRD status in 31 ovarian cancer patients using tumor-informed ctDNA testing.

Prognostic Performance:

  • Hazard Ratio: HR 6.678 for PFS (MRD+ vs MRD-, p = 0.01)
  • Median PFS:
    • MRD-positive: 5.8 months
    • MRD-negative: 24.7 months
  • Clinical Interpretation: MRD-positive patients have nearly 7-fold higher risk of progression
  • Conclusion: MRD detection via ctDNA establishes as valuable tool for early and accurate prediction of ovarian cancer recurrence

Society of Gynecologic Oncology (SGO) 2024 Data

Post-Treatment ctDNA Prognostic Value:

  • Hazard Ratio: HR 5.3 for PFS (95% CI 2.2-12.4, P < 0.001)
  • Median PFS:
    • ctDNA-positive at end of treatment: 7.4 months
    • ctDNA-negative at end of treatment: 28.1 months

Consistent Prognostic Impact Across Studies

The remarkable consistency of hazard ratios (HR 5.3-6.7) and PFS differences across independent cohorts establishes ctDNA MRD detection as a robust prognostic biomarker in ovarian cancer. MRD-positive patients consistently demonstrate ~6-fold higher risk of progression with median PFS of 5.8-7.4 months versus 24.7-28.1 months for MRD-negative patients.

Lead Time for Recurrence Detection

ctDNA Detects Relapse Months Before Imaging

One of the most clinically significant advantages of ctDNA monitoring in ovarian cancer is the extended lead time between molecular detection and radiographic recurrence. This window of opportunity is among the longest reported in solid tumors.

Lead Time Data from Prospective Studies:

  • Median Lead Time (Study 1): 5.9 months (range: not specified)
    • 12 patients: ctDNA detected progression earlier than standard surveillance
  • Median Lead Time (Study 2): 10 months average
    • ctDNA preceded radiological findings by average of 10 months
    • 100% sensitivity and specificity for relapse detection
  • Lead Time Range (Study 3): 14-1,417 days (median 179 days = ~6 months)
    • 12 patients (55%): positive ctDNA sample preceded progression

Clinical Performance: Detection Sensitivity

Baseline and Relapse Detection Rates:

  • Baseline Detection: 93% (51/55 samples at diagnosis) to 100% in various studies
  • Progression Detection: 100% (18/18 samples at progression)
  • Post-Surgical Relapse: 100% sensitivity and specificity for detecting recurrence
  • Overall Performance: Highly predictive marker with significantly improved detection lead time compared to conventional monitoring

Clinical Implication of Extended Lead Time

The 5.9-10 month lead time in ovarian cancer represents one of the longest intervals between molecular and radiographic detection across all solid tumors. This extended window creates opportunities for clinical trial enrollment, re-challenge with platinum therapy in appropriate candidates, or initiation of novel therapies before symptomatic progression. Active trials are evaluating whether intervention at the time of molecular relapse improves outcomes compared to waiting for imaging-detected recurrence.

Clinical Utility: Serial Monitoring Strategy

Recommended Surveillance Approach

Based on the prospective study data, ctDNA monitoring provides value at multiple timepoints in the ovarian cancer treatment continuum.

Suggested Clinical Workflow

Timepoint ctDNA Application Clinical Significance
Baseline (Diagnosis) Initial tumor profiling from tissue or blood 93-100% detection rate; establishes patient-specific mutations for tracking
Post-Surgery (4-8 weeks) MRD assessment Identifies residual disease; HR 5.3-6.7 for progression risk
End of Chemotherapy Treatment response assessment MRD+ patients: median PFS 5.8-7.4 months vs 24.7-28.1 months if MRD-
Surveillance (Every 3 months) Serial monitoring for molecular relapse Median 5.9-10 month lead time before imaging recurrence
At Clinical Suspicion Confirmation of relapse 100% sensitivity for progression detection

Complementary Use with CA-125

ctDNA monitoring complements traditional CA-125 surveillance:

  • CA-125 Limitations: ~20% of ovarian cancers do not secrete CA-125; false positives from benign conditions
  • ctDNA Advantages: Tumor-specific mutations eliminate false positives; detects relapse in CA-125-negative cases
  • Combined Approach: Serial CA-125 + ctDNA monitoring may optimize early recurrence detection
  • Specificity: ctDNA provides superior specificity compared to CA-125 elevation alone

Active Clinical Trials

Interventional Studies in Ovarian Cancer

NCT05212779: Predicting Recurrence Using ctDNA

  • Study Question: Can ctDNA detect recurrent ovarian cancer earlier than radiographic imaging (RECIST 1.1)?
  • Design: Prospective trial assessing lead time advantage of ctDNA vs CT/MRI
  • Clinical Impact: Will establish whether earlier detection via ctDNA enables improved outcomes with timely intervention
  • Status: Actively enrolling patients

Future Directions: Randomized trials testing ctDNA-guided therapy intensification (similar to DYNAMIC in colorectal cancer or IMvigor011 in bladder cancer) are needed to determine whether acting on MRD-positive status improves progression-free or overall survival in ovarian cancer.

Key Takeaways for Clinicians

Evidence Summary: Ovarian Cancer ctDNA MRD

  • Strong Prognostic Value: HR 5.3-6.7 for PFS consistently across multiple 2024-2025 cohorts
  • Exceptional Lead Time: 5.9-10 month median lead time before imaging—among longest in solid tumors
  • High Sensitivity: 93-100% baseline detection; 100% sensitivity and specificity for relapse
  • Tumor-Informed Approach: Requires baseline tissue or plasma for patient-specific mutation tracking
  • Clinical Workflow: Serial monitoring every 3 months during surveillance phase
  • Complementary to CA-125: Adds specificity and detects CA-125-negative relapses
  • Emerging Evidence: 2024-2025 data rapidly expanding; interventional trials underway

Clinical Bottom Line: ctDNA MRD testing in ovarian cancer provides powerful prognostic stratification with exceptional lead time for recurrence detection. While interventional trials are still needed to prove survival benefit, the consistency of HR 5-7 across independent cohorts and the 5-10 month detection advantage position ctDNA as a valuable surveillance tool complementary to CA-125 and imaging.

References

  1. Clinical Cancer Research 2025: Surgical and Blood-Based Minimal Residual Disease in Patients with Ovarian Cancer after First-line Therapy: Clinical Outcomes and Translational Opportunities. Clin Cancer Res. 2025 (in press).
  2. Gynecologic Oncology 2024/2025: The prognostic value of tumor-informed minimal residual disease detection using circulating tumor DNA in first-line treatment of ovarian cancer. Gynecol Oncol. 2024/2025.
  3. Society of Gynecologic Oncology 2024: ctDNA-based molecular residual disease (MRD) in evaluating the adjuvant therapy effect in ovarian cancer. SGO Annual Meeting 2024.
  4. Life Science Alliance 2024: Sensitive circulating tumor DNA–based residual disease detection in epithelial ovarian cancer. Life Sci Alliance. 2024;7(6):e202402658.
  5. Gynecologic Oncology 2022: Circulating tumor DNA monitoring for early recurrence detection in epithelial ovarian cancer. Gynecol Oncol. 2022;167(2):285-293.
  6. ClinicalTrials.gov NCT05212779: Predicting the Risk of Ovarian Cancer Recurrence Using Circulating Tumor DNA to Assess Residual Disease.

Evidence summary as of February 2026 | Document Version: 1.0