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子宫内膜癌前病变诊断中的生物标志物。分子特征、候选免疫组化标志物及三标志物组合的 promising 结果:现状与未来方向 。 注:“promising”这里直接保留英文,因为不太明确其准确的中文含义,如果有更准确的背景信息,可进一步完善翻译。

Biomarkers in the Diagnosis of Endometrial Precancers. Molecular Characteristics, Candidate Immunohistochemical Markers, and Promising Results of Three-Marker Panel: Current Status and Future Directions.

作者信息

Niu Shuang, Molberg Kyle, Castrillon Diego H, Lucas Elena, Chen Hao

机构信息

Department of Pathology, UT Southwestern Medical Center, Dallas, TX 75390, USA.

Department of Pathology, Parkland Health, Dallas, TX 75235, USA.

出版信息

Cancers (Basel). 2024 Mar 15;16(6):1159. doi: 10.3390/cancers16061159.

Abstract

Endometrial carcinoma stands as the most prevalent gynecological cancer and the fourth most common cancer affecting women. The incidence of endometrial cancer has been steadily increasing over the past decade, posing a significant threat to public health. The early detection of its precancers remains a critical and evolving concern to reduce mortality associated with endometrial carcinoma. In the last decade, our understanding of endometrial carcinoma and its precancers has advanced through systematic investigations into the molecular genetics of endometrial carcinoma and its precancers. In this review, we focus on advances in precancers associated with the endometrioid subtype, by far the most common histologic variant of endometrial adenocarcinoma. Recent investigations have led to the identification of new biomarkers, and the proposed incorporation of these biomarkers or biomarker panels into the diagnostic framework of endometrial carcinoma precancers. Here, we review these recent advances and their relevance to the histopathologic diagnosis of endometrial carcinoma precancers.

摘要

子宫内膜癌是最常见的妇科癌症,也是影响女性的第四大常见癌症。在过去十年中,子宫内膜癌的发病率一直在稳步上升,对公众健康构成重大威胁。早期发现其癌前病变仍然是降低子宫内膜癌相关死亡率的关键且不断发展的关注点。在过去十年中,通过对子宫内膜癌及其癌前病变的分子遗传学进行系统研究,我们对子宫内膜癌及其癌前病变的认识取得了进展。在本综述中,我们重点关注与子宫内膜样亚型相关的癌前病变的进展,子宫内膜样亚型是迄今为止子宫内膜腺癌最常见的组织学变体。最近的研究已导致鉴定出新的生物标志物,并提议将这些生物标志物或生物标志物组合纳入子宫内膜癌癌前病变的诊断框架。在此,我们综述这些最新进展及其与子宫内膜癌癌前病变组织病理学诊断的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc03/10968747/87dfec58f359/cancers-16-01159-g001.jpg

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