Article Text
Abstract
Introduction/Background The impact of molecular classes on the risk of recurrence in node-positive endometrial cancer (EC) is still unclear. This study aims to evaluate the distribution of molecular classes and their impact on the risk of recurrence in FIGO stage IIIC EC.
Methodology EC patients with FIGO stage IIIC (including micrometastasis and macrometastasis) who underwent surgical staging from October 2013 to September 2022 and had subsequent molecular characterization were identified among five referral centers worldwide. The molecular analysis included immunohistochemistry for p53 and MMR proteins and sequencing for POLE exonuclease domain. ECs were classified into four molecular classes (POLEmut, MMRd, p53abn, and NSMP). Survival analyses were performed using Kaplan-Meier and Cox models (univariate and multivariable) to evaluate the relationship between molecular classes and recurrence within 5 years after surgery.
Results A total of 134 patients were included; 57(42.5%) tumors were NSMP, 44(32.8%) MMRd, 1(0.7%) POLEmut, and 32(23.9%) p53abn (figure 1). Overall, 52 (38.8%) patients experienced a recurrence within the first 5 years following surgery with a median time of 1.2 years (IQR 0.5–1.7), including 17(32.7%), 14(26.9%), and 21(40.4%) among NSMP, MMRd, and p53abn cases respectively. No recurrence was observed in the POLEmut case. Survival analysis revealed a significant difference in RFS between NSMP, MMRd and p53abn classes(log-rank p<0.01) (figure 1). Similarly, in univariate analysis the molecular class was a significant predictor of recurrence (p<0.01). In multivariable analysis, adjusting for grade and type of lymph node metastasis, p53abn EC showed twice the risk of recurrence compared to NSMP (HR 2.12, CI 1.04–4.29).
Conclusion Our findings indicate a high prevalence of p53abn tumors among patients with stage IIIC EC. Moreover, our study highlighted the significant impact of molecular classification on the risk of recurrence in these patients. Further studies are needed to better understand the impact of molecular classes compared to pathological features.
Disclosures The authors have nothing to disclose.