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文章:

子宫内膜癌诊断与复发时分子分型的一致性:单中心经验对未来路径的启示

Alignment of Molecular Classification Between Diagnosis and Recurrence in Endometrial Cancer: Lessons from a Single-Institution Experience to Inform Future Pathways

原文发布日期:13 January 2026

DOI: 10.3390/cancers18020247

类型: Article

开放获取: 是

 

英文摘要:

Introduction: Endometrial carcinoma (EC) is the most prevalent gynecological cancer. It is characterized by a clinical, pathological, and prognostic trajectory that has become inextricably linked to the disease’s molecular profile. Therefore, it is imperative to examine its relevance across all facets associated with the disease.Methods: This is a single-center retrospective study to assess tumor molecular profile concordance between EC diagnosis and recurrence. All patients who underwent hysterectomy for EC between 2016 and 2020 were included.Results: In total, 221 cases of EC were collected. In total, 18 recurrences were found. In two cases, there was a molecular classification (MC) change: an MMR-deficient endometrioid EC shifted to a “multiple classifier” subtype. The second, an NSMP subtype, at second recurrence revealed a switched MC to an aberrant mutated p53 profile. This discordance rate was non-significant in our cohort. However, considering the lack of evidence, it opens new insights to be revealed.Conclusions: This is the first study focusing on the discordance rate of MCs in EC relapses compared to the initial diagnosis. Future large-scale retrospective and prospective multicenter studies are essential for exploring this aspect.

 

摘要翻译: 

引言:子宫内膜癌是最常见的妇科恶性肿瘤,其临床、病理及预后轨迹已与疾病分子谱特征密切相关。因此,在所有疾病相关层面探讨其关联性至关重要。方法:本研究为单中心回顾性分析,旨在评估子宫内膜癌初诊与复发时肿瘤分子谱的一致性。纳入2016年至2020年间因子宫内膜癌接受子宫切除术的所有患者。结果:共收集221例子宫内膜癌病例,其中发现18例复发。两例出现分子分型改变:一例错配修复缺陷型子宫内膜样癌转变为"多重分类器"亚型;另一例非特异性分子谱亚型在二次复发时转为异常p53突变型。在本队列中,这种不一致率无统计学显著性,但鉴于相关证据缺乏,该发现为后续研究提供了新方向。结论:这是首个针对子宫内膜癌复发与初诊时分子分型不一致率的研究。未来需开展大规模回顾性及前瞻性多中心研究以深入探索该领域。

 

原文链接:

Alignment of Molecular Classification Between Diagnosis and Recurrence in Endometrial Cancer: Lessons from a Single-Institution Experience to Inform Future Pathways

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