ArticleInternational journal of clinical oncology2026
Impact of immunohistochemistry-based molecular classification with conventional risk stratification on recurrence and survival outcomes in endometrial cancer.
Article in International journal of clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe conventional histomorphology-based risk classification for endometrial cancer (EC) does not consider the molecular heterogeneity that influences prognosis and treatment response. The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) system uses next-generation sequencing to assess DNA polymerase epsilon (POLE) mutations, but its high cost limits its accessibility. This study evaluated the prognostic value of a novel algorithm that combined immunohistochemistry (IHC) testing with conventional risk factors.
methodsThis retrospective study included 237 patients with stage I-III EC who underwent surgery. Low-risk patients were classified without IHC, while intermediate- and high-risk patients were categorized as MMR-deficient (MMRd), p53-abnormal (p53abn), or nonspecific molecular profile (NSMP) groups based on IHC. Additionally, L1CAM expression was also evaluated. Survival outcomes were analyzed using Kaplan-Meier curves and Cox regression models.
resultsData from 233 cases were analyzed; the median follow-up duration was 63 months. Among 87 low-risk patients, only 1 experienced recurrence. The intermediate- and high-risk groups were subdivided into 42 MMRd, 16 p53abn, and 88 NSMP patients. The 5-year disease-free survival (DFS) rates were 98.8% (low-risk), 94.7% (NSMP), 80.6% (MMRd), and 59.8% (p53abn), highlighting the poorer prognosis of p53abn. p53abn independently predicted recurrence (hazard ratio [HR], 10.1) and mortality (HR, 25.6). L1CAM positivity correlated with worse DFS but was not an independent prognostic factor.
conclusionConventional risk classification combined with IHC classification using p53 and MMR is a cost-effective prognostic tool that enables risk stratification and personalized treatment decisions, even when genetic testing is unavailable.
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