Advancing Risk Stratification in Endometrial Cancer

Endometrial Cancer

endometrial cancer, liquid biopsy

The DaPHNE study is an observational, ambispective, multicenter study designed to evaluate whether the integration of circulating tumor DNA (ctDNA) and plasma proteomic profiling with the 2023 FIGO staging system improves prognostic stratification in patients with endometrial cancer (EC) treated with curative-intent surgery. The study will compare the prognostic performance of the standard FIGO 2023 staging system with an enhanced longitudinal staging approach (L-FIGO 2023) incorporating preoperative (T0) and postoperative (T1, 4-6 weeks after surgery) liquid biopsy data, and will explore a dynamic model (Δ-FIGO) based on changes between these time points. The study consists of two phases: (1) a retrospective cohort including approximately 300 patients with stored plasma samples and clinical data, and (2) a prospective cohort of 100 newly enrolled patients from participating centers. Plasma samples will undergo ctDNA sequencing, methylation analysis, and proteomic profiling using next-generation sequencing and Olink technologies. Molecular findings will be integrated with clinicopathological and survival data to identify biomarkers associated with minimal residual disease, recurrence, and progression-free survival, validate multimodal prognostic models across institutions, assess concordance between circulating and tissue biomarkers, and identify molecular pathways relevant for personalized treatment strategies. The primary endpoint is progression-free survival.

Endometrial cancer (EC) is the most common gynecologic malignancy in high-income countries. Although the 2023 International Federation of Gynecology and Obstetrics (FIGO) staging system has improved prognostic stratification by integrating molecular classification with conventional clinicopathologic features, it remains primarily based on static information obtained at the time of diagnosis and surgery. Consequently, it may not fully capture the biological heterogeneity of EC or the dynamic changes associated with minimal residual disease (MRD) and disease recurrence. Emerging evidence suggests that circulating tumor DNA (ctDNA) and plasma proteomic profiling may provide complementary, non-invasive biomarkers capable of improving risk assessment and identifying patients at increased risk of relapse. The DaPHNE study is an observational, ambispective, multicenter study designed to investigate whether integrating liquid biopsy-derived molecular information with the FIGO 2023 staging system improves prognostic accuracy in patients with endometrial cancer undergoing curative-intent surgery. The study hypothesizes that a dynamic multimodal approach incorporating serial ctDNA and proteomic assessments before surgery (T0) and 4-6 weeks after surgery (T1) will provide more accurate prediction of disease progression than the current staging system alone. The study comprises two phases. Phase 1 is a retrospective analysis of approximately 300 patients with histologically confirmed endometrial cancer treated with radical surgery and no residual disease, for whom plasma samples and clinical data are available through the Institutional Biobank. Phase 2 is a prospective validation study enrolling approximately 100 patients from participating institutions using the same eligibility criteria and biospecimen collection procedures. Peripheral blood samples collected at T0 and T1 will undergo plasma isolation followed by ctDNA extraction. Genomic analyses will include targeted next-generation sequencing using the Guardant360 assay and methylation profiling with the Illumina 5-Base DNA Prep workflow. Plasma proteomic profiling will be performed on postoperative samples using the Olink Reveal platform, with paired T0 and T1 samples analyzed when available to evaluate temporal molecular changes associated with MRD and early recurrence. Clinical, pathological, treatment, imaging, and follow-up data will be collected in a secure REDCap database. Molecular findings will be integrated with clinicopathologic variables to develop and validate multimodal prognostic models. The study will compare the prognostic performance of the standard FIGO 2023 staging system with an enhanced longitudinal staging model (L-FIGO 2023), which incorporates baseline liquid biopsy information, and will further explore a dynamic staging approach (Δ-FIGO) based on molecular changes between preoperative and postoperative time points. The primary objective is to determine whether integrating ctDNA and proteomic biomarkers with FIGO 2023 staging improves prediction of progression-free survival. Secondary objectives include evaluating molecular evidence of minimal residual disease through longitudinal liquid biopsy analyses, validating multimodal prognostic models across independent institutions, assessing concordance between circulating biomarkers and tumor tissue molecular profiles, and identifying genomic and proteomic signatures associated with disease dissemination, recurrence, and potential therapeutic targets for personalized treatment strategies. The study is expected to generate comprehensive genomic, epigenomic, proteomic, and clinical datasets that may contribute to refining prognostic stratification, improving postoperative risk assessment, and advancing precision medicine approaches in endometrial cancer.

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