Li Yuan, Li Jiaqi, Guo Ensong, Huang Jia, Fang Guangguang, Chen Shaohua, Yang Bin, Fu Yu, Li Fuxia, Wang Zizhuo, Xiao Rourou, Liu Chen, Huang Yuhan, Wu Xue, Lu Funian, You Lixin, Feng Ling, Xi Ling, Wu Peng, Ma Ding, Sun Chaoyang, Wang Beibei, Chen Gang
National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China.
Cell Biosci. 2020 Oct 22;10:122. doi: 10.1186/s13578-020-00486-0. eCollection 2020.
Risk stratifications for endometrial carcinoma (EC) depend on histopathology and molecular pathology. Histopathological risk stratification lacks reproducibility, neglects heterogeneity and contributes little to surgical procedures. Existing molecular stratification is useless in patients with specific pathological or molecular characteristics and cannot guide postoperative adjuvant radiotherapies. Chromosomal instability (CIN), the numerical and structural alterations of chromosomes resulting from ongoing errors of chromosome segregation, is an intrinsic biological mechanism for the evolution of different prognostic factors of histopathology and molecular pathology and may be applicable to the risk stratification of EC.
By analyzing CIN25 and CIN70, two reliable gene expression signatures for CIN, we found that EC with unfavorable prognostic factors of histopathology or molecular pathology had serious CIN. However, the POLE mutant, as a favorable prognostic factor, had elevated CIN signatures, and the CTNNB1 mutant, as an unfavorable prognostic factor, had decreased CIN signatures. Only if these two mutations were excluded were CIN signatures strongly prognostic for outcomes in different adjuvant radiotherapy subgroups. Integrating pathology, CIN signatures and POLE/CTNNB1 mutation stratified stageIendometrioid EC into four groups with improved risk prognostication and treatment recommendations.
We revealed the possibility of integrating histopathology and molecular pathology by CIN for risk stratification in early-stage EC. Our integrated risk model deserves further improvement and validation.
子宫内膜癌(EC)的风险分层取决于组织病理学和分子病理学。组织病理学风险分层缺乏可重复性,忽视了异质性,对手术操作的指导作用不大。现有的分子分层对具有特定病理或分子特征的患者无用,无法指导术后辅助放疗。染色体不稳定(CIN)是由于染色体分离持续出错导致的染色体数量和结构改变,是组织病理学和分子病理学不同预后因素演变的内在生物学机制,可能适用于EC的风险分层。
通过分析CIN25和CIN70这两个可靠的CIN基因表达特征,我们发现具有组织病理学或分子病理学不良预后因素的EC存在严重的CIN。然而,作为有利预后因素的POLE突变体具有升高的CIN特征,而作为不利预后因素的CTNNB1突变体具有降低的CIN特征。只有排除这两种突变,CIN特征才对不同辅助放疗亚组的预后有强烈的预测作用。整合病理学、CIN特征和POLE/CTNNB1突变,将I期子宫内膜样EC分为四组,改善了风险预后和治疗建议。
我们揭示了通过CIN整合组织病理学和分子病理学用于早期EC风险分层的可能性。我们的综合风险模型值得进一步改进和验证。