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TCGA分子分类在透明细胞子宫内膜癌中的作用。

The role of TCGA molecular classification in clear cell endometrial carcinoma.

作者信息

Tang Xinyue, Hu Yuanjing

机构信息

Graduate School, Tianjin Medical University, Tianjin, China.

Department of Gynecological Oncology, Tianjin Central Hospital of Obstetrics & Gynecology, Tianjin, China.

出版信息

Front Oncol. 2023 Jun 29;13:1147394. doi: 10.3389/fonc.2023.1147394. eCollection 2023.

Abstract

Clear cell endometrial carcinoma (CCEC) represents a relatively rare and heterogeneous entity. Based on The Cancer Genome Atlas (TCGA) molecular classification, the risk stratification and management of endometrial cancer (EC) have been improved. Although the relationship of CCEC with the TCGA classification is less well understood, data has emerged to suggest that molecular classification plays an important role in the prognosis and management of CCEC. Most of patients with CCEC are characterized by p53abn or NSMP type and the prognosis of these patients is poor, whereas those with MMRd or POLEmut seem to have a favorable prognosis. Adjuvant therapy is recommended in CCEC with p53abn and NSMP. Advanced/recurrent CCEC with MMRd benefit much more from immune checkpoint inhibitors after the failure of platinum-based chemotherapy. In addition, bevacizumab plus chemotherapy upfront seems to improve outcomes of advanced/recurrent patients whose tumors harbored mutated TP53, including CCECs with p53abn. Further studies which exclusively recruit CCEC are urgently needed to better understand the role of molecular classification in CCEC. This review will provide an overview of our current understanding of TCGA classification in CCEC.

摘要

透明细胞子宫内膜癌(CCEC)是一种相对罕见且异质性的疾病。基于癌症基因组图谱(TCGA)分子分类,子宫内膜癌(EC)的风险分层和管理得到了改善。尽管CCEC与TCGA分类的关系尚不太清楚,但已有数据表明分子分类在CCEC的预后和管理中起着重要作用。大多数CCEC患者具有p53异常或NSMP类型,这些患者的预后较差,而MMRd或POLEmut患者的预后似乎较好。对于p53异常和NSMP的CCEC患者,建议进行辅助治疗。铂类化疗失败后,具有MMRd的晚期/复发性CCEC患者从免疫检查点抑制剂中获益更多。此外,贝伐单抗联合化疗一线治疗似乎可改善晚期/复发性患者的预后,这些患者的肿瘤携带TP53突变,包括p53异常的CCEC。迫切需要开展专门纳入CCEC的进一步研究,以更好地了解分子分类在CCEC中的作用。本综述将概述我们目前对CCEC中TCGA分类的理解。

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