Endometrial cancer molecular classification: research advances and clinical application.

IF 3.4 3区 医学 Q2 ONCOLOGY
Frontiers in Oncology Pub Date : 2026-10-05 eCollection Date: 2026-01-01 DOI:10.3389/fonc.2026.1947939
Ya Liu, Yueying Li, Liping Zhang
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引用次数: 0

Abstract

As research in molecular biology continues to advance, the classification of endometrial cancer has gradually shifted from traditional histology toward risk stratification based on the integration of molecular subtyping with clinicopathologic factors. Molecular subtyping has not only transformed our understanding of the biological heterogeneity of endometrial cancer but also provided new evidence for prognostic assessment and treatment selection. However, the maturity of clinical evidence and the translational therapeutic value vary across molecular subtypes. This review systematically summarizes the molecular characteristics and clinical significance of the POLE ultramutated(POLE-mut)subtype, mismatch repair deficient (dMMR) subtype, p53 abnormal (p53-abn) subtype, and no specific molecular profile (NSMP) subtype, with a focus on evaluating whether different molecular features can be further translated from risk stratification into specific treatment decisions. Centering on key issues such as de-escalated therapy for the POLE-mut subtype, the predictive value of immunotherapy for the dMMR subtype, intensified therapy for the p53-abn subtype, and further risk stratification of the NSMP subtype, this review analyzes the clinical basis and limitations of existing evidence and further discusses the challenges that tumors with multiple molecular features pose for classification and treatment decision making. Building on this, the paper compares how major international guidelines integrate molecular information with clinical and pathologic factors and analyzes real world implementation barriers such as testing standardization, result interpretation, and healthcare accessibility. Finally, it outlines the potential value of emerging technologies, including liquid biopsy, artificial intelligence, and multiomics, in dynamic risk assessment and precision therapy. This review aims to trace the continuum of evidence from molecular discovery to clinical action, clarifying which clinical decisions can be supported by existing molecular markers and identifying questions that current evidence cannot yet answer, thereby providing guidance for the precise application and clinical translation of molecular subtyping in endometrial cancer.

子宫内膜癌分子分类研究进展及临床应用。
随着分子生物学研究的不断深入,子宫内膜癌的分类逐渐从传统的组织学向基于分子分型与临床病理因素相结合的危险分层转变。分子分型不仅改变了我们对子宫内膜癌生物学异质性的认识,而且为预后评估和治疗选择提供了新的依据。然而,临床证据的成熟度和转化治疗价值因分子亚型而异。本文系统总结了极点超突变(POLE-mut)亚型、错配修复缺陷(dMMR)亚型、p53异常(p53-abn)亚型和无特异性分子谱(NSMP)亚型的分子特征和临床意义,重点评价了不同的分子特征是否可以进一步从风险分层转化为具体的治疗决策。本文围绕POLE-mut亚型降压治疗、dMMR亚型免疫治疗的预测价值、p53-abn亚型强化治疗、NSMP亚型进一步风险分层等关键问题,分析了现有证据的临床基础和局限性,并进一步探讨了具有多分子特征的肿瘤对分类和治疗决策的挑战。在此基础上,本文比较了主要的国际指南如何将分子信息与临床和病理因素结合起来,并分析了现实世界的实施障碍,如测试标准化、结果解释和医疗保健可及性。最后,它概述了新兴技术的潜在价值,包括液体活检、人工智能和多组学,在动态风险评估和精确治疗方面。本综述旨在追溯从分子发现到临床作用的连续证据,阐明现有分子标记可以支持哪些临床决策,并确定当前证据尚未回答的问题,从而为分子分型在子宫内膜癌中的精确应用和临床翻译提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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