MARATTO

article · BMC Cancer

Beyond CA-125: circulating cell-free DNA as the next-generation biomarker in ovarian malignancy

2026Open accessMenoufia University

In plain language

Ovarian cancer often lacks reliable non-invasive biomarkers with high sensitivity and specificity. Circulating cell-free DNA was investigated as a potential tool for both diagnosis and prognosis in a study involving 150 individuals, divided equally among malignant ovarian cancer cases, benign ovarian lesions, and healthy controls. Analysis showed substantially higher average levels of circulating cell-free DNA in patients with malignant cancer compared to those with benign conditions or healthy participants. Statistical assessments demonstrated that measuring these DNA fragments reliably distinguished ovarian cancer from benign conditions and healthy tissue. Furthermore, cell-free DNA levels strongly correlated with advanced cancer stages, tumour grade, and patient survival rates. Because it independently predicted both progression-free survival and overall survival, circulating cell-free DNA shows strong promise as a clinical biomarker for identifying ovarian cancer and guiding risk stratification and individualised treatment decisions.

Key takeaways

  • Circulating cell-free DNA concentrations were markedly higher in ovarian cancer patients at 11.84 ng/mL compared to 3.90 ng/mL in benign cases and 0.23 ng/mL in healthy controls.
  • Measurement of cell-free DNA demonstrated high accuracy in diagnosing ovarian cancer cases and identifying late-stage disease.
  • Elevated cell-free DNA levels independently correlated with tumour grade, reduced progression-free survival, and lower overall survival.

Why it matters

Ovarian cancer remains difficult to detect early due to the absence of dependable, non-invasive diagnostic tests. Identifying circulating cell-free DNA in blood offers a route to detecting malignancies earlier, assessing tumour severity, and predicting patient outcomes. This could allow clinicians to make more informed treatment choices, potentially directing more intensive therapies to patients with higher-risk disease profiles.

Commercialisation angle

The findings could enable the development of non-invasive blood-based diagnostic and prognostic assays for oncology clinics and pathology laboratories. Such tests could assist oncologists with early detection, risk stratification, and personalised therapy planning. Given that the evidence is based on an initial case-control study using real-time PCR, the technology is at an applied and tested stage, requiring larger clinical trials and assay validation before diagnostic market entry.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

Due to a lack of efficient screening methods or trustworthy biomarkers with high sensitivity and specificity, ovarian cancer (OC) is a quarrelsome disease with a high death rate. Investigators believe that circulating tumor cell-free DNA (cfDNA) can provide crucial clues concerning both primary and metastatic OCs. Our goal was to identify the potential of circulating cfDNA as a non-invasive biomarker for ovarian cancer. This case‒control prospective study was carried out on 150 participants, of whom 50 patients were confirmed to have ovarian cancer, 50 patients had benign ovarian lesions, and 50 participants were controls. For OC patients, medical, laboratory, and imaging evaluations together with survival analysis were performed. Quantification of cfDNA was done by real-time PCR. A distinct difference in the mean cfDNA was observed in the malignant group (11.84 ng/mL) compared to the benign (3.90 ng/mL) and control (0.23 ng/mL) groups. ROC curve analysis revealed that cfDNA had the highest value as a strong discriminatory marker for prediction of ovarian cancer in suspected cases and prediction of late stage and is a reasonable predictor of mortality (AUC 0.934, p < 0.001, 95% CI: 0.881–0.986; AUC 0.993, p < 0.001, 95% CI: 0.978–1.0; and AUC 0.814, p = 0.001, 95% CI: 0.690–0.937). The multivariate logistic regression reinforces its independent prognostic value for progression-free survival and overall survival. Our results indicate that cfDNA has a strong correlation with tumor grade and predictive capability in Cox models, suggesting that it may serve as a diagnostic and prognostic biomarker for OC. In clinical setting, these findings support the use of cfDNA in OC risk stratification and treatment planning, potentially enabling aggressive therapies for patients with high cfDNA expression.

Research topics

  • Cancer Genomics and Diagnostics
  • Cancer Cells and Metastasis
  • Ovarian cancer diagnosis and treatment

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1186/s12885-026-15967-7

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.