# Clinical validation of a DNA methylation biomarker associated with overall survival of relapsed ovarian cancer patients

**Authors:** Muhammad Habiburrahman, Nahal Masrour, Naina Patel, Anna M. Piskorz, Robert Brown, James D. Brenton, Iain A. McNeish, James M. Flanagan

PMC · DOI: 10.1002/ijc.70217 · International Journal of Cancer · 2025-11-01

## TL;DR

This study validates a DNA methylation biomarker, PLAT-M8, that can predict survival outcomes in relapsed ovarian cancer patients based on blood samples.

## Contribution

The study provides clinical validation of the PLAT-M8 methylation biomarker as a non-invasive predictor of survival in relapsed ovarian cancer patients.

## Key findings

- PLAT-M8 methylation at relapse correlates with clinical outcomes, with Class 1 linked to shorter survival and poor prognosis.
- Class 2 is associated with platinum sensitivity and better response rates to second-line treatment.
- The biomarker has potential to guide treatment decisions in relapsed ovarian cancer.

## Abstract

Approximately 70% of ovarian cancer (OC) patients relapse after chemotherapy, underscoring the need to assess survival before second‐line treatment. We previously identified PLAT‐M8, an 8‐CpG blood‐based methylation signature linked to chemoresistance. This study validates its correlation with clinicopathological features and treatment profiles in additional cohorts. Extracted DNA from whole blood was provided from the BriTROC‐1 (n = 47) and OV04 cohorts (n = 57) upon the first relapse. Additional samples from Hammersmith Hospital (n = 100) were collected during first‐line chemotherapy (Cycles 3–4 and 6). Bisulphite pyrosequencing was used to quantify DNA methylation at the previously identified 8 CpG sites. The methylation data obtained were combined with previous data from ScoTROC‐1D and 1V (n = 141) and OCTIPS (n = 46). Cox regression was used to assess OS after relapse concerning clinicopathological characteristics. The DNA methylation Class (Class 1 vs. 2) was determined by consensus clustering. As for results, blood DNA methylation at relapse correlates with clinical outcomes, but it has no impact during first‐line treatment. Class 1 is linked to shorter survival (summary OS: HR 2.50, 1.64–3.79) and poorer prognosis on carboplatin monotherapy (OS: aHR 9.69, 95% CI: 2.38–39.47). It is associated with older (>75 years), advanced‐stage, platinum‐resistant patients, residual disease, and shorter PFS. In contrast, Class 2 is linked to platinum sensitivity, higher complete response rates (RECIST), and better prognosis but shows no correlation with CA‐125. These findings highlight PLAT‐M8's potential in guiding second‐line chemotherapy decisions. The PLAT‐M8 methylation biomarker is associated with survival in relapsed OC patients and may potentially predict their response to second‐line platinum treatment.

What's new?

Most patients with ovarian cancer (OC) relapse after first‐line chemotherapy, and prognosis with second‐line treatment depends largely on the platinum‐free interval. However, reliable biomarkers to predict response to second‐line therapy remain lacking. Here, the authors examined associations between the DNA‐methylation biomarker PLAT‐M8 and survival in relapsed OC patients. Blood DNA methylation at relapse correlated with clinical outcome. In particular, hypomethylation was linked to shorter survival and features such as older age and advanced disease, while hypermethylation was associated with higher response rates and better prognosis. The findings support PLAT‐M8 as a relapse‐specific, non‐invasive marker for predicting clinical outcomes in relapsed OC.

## Linked entities

- **Diseases:** ovarian cancer (MONDO:0005140)

## Full-text entities

- **Genes:** MUC16 (mucin 16, cell surface associated) [NCBI Gene 94025] {aka CA125}
- **Diseases:** OC (MESH:D010051)
- **Chemicals:** platinum (MESH:D010984), carboplatin (MESH:D016190)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12875174/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12875174/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12875174/full.md

---
Source: https://tomesphere.com/paper/PMC12875174