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进一步细化早期子宫内膜癌患者 2020 ESGO/ESTRO/ESP 分子风险分级:倾向评分匹配分析。

Further refining 2020 ESGO/ESTRO/ESP molecular risk classes in patients with early-stage endometrial cancer: A propensity score-matched analysis.

机构信息

Gynecologic Oncology Unit, Dipartimento per le Scienze della Salute della Donna del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.

Università Cattolica del Sacro Cuore, Rome, Italy.

出版信息

Cancer. 2022 Aug 1;128(15):2898-2907. doi: 10.1002/cncr.34331. Epub 2022 May 26.

Abstract

BACKGROUND

The integration of molecular features with clinicopathological findings in endometrial cancer classification seems to be able to significantly refine risk assessment. Nevertheless, clinical management remains challenging, and different therapeutic options are available for each class. Further prognostic characterization of the subgroups within each risk class could be helpful in the decision-making process.

METHODS

This study evaluated the role of the 2020 European Society of Gynaecological Oncology (ESGO)/European Society for Radiotherapy and Oncology (ESTRO)/European Society of Pathology (ESP) risk assessment system and the three prognostic profiles adopted in the PORTEC-4a trial in predicting disease-free and overall survival in a retrospective study cohort of patients with early-stage endometrial cancer. Patients were selected according to a 1:2 propensity score matching analysis. Moreover, the sequencing of 29 genes was undertaken for tumor samples.

RESULTS

The study included 137 patients. No differences in disease-free or overall survival at 5 years were observed among the 2020 ESGO/ESTRO/ESP risk classes without molecular features (p = .766 and p = .176, respectively). Once molecular features were integrated, the probability of overall survival was significantly different (p = .011). When the three prognostic profiles were applied, the probability of recurrence had a p value of .097, and significant differences were observed in overall survival (p = .004). Among patients experiencing recurrence, 17.6% showed mutations in BRCA1/2, RAD50, BRIP1, and XRCC2, whereas 22.5% had PD-L1-positive expression and an MUTYH mutation.

CONCLUSIONS

Further stratification within each risk class according to the most relevant prognostic features could better define the prognosis of patients with early-stage endometrial cancer. Nearly half of the patients who experienced recurrence showed a targetable molecular alteration for which dedicated trials should be encouraged.

摘要

背景

将分子特征与子宫内膜癌分类中的临床病理发现相结合,似乎能够显著提高风险评估的准确性。然而,临床管理仍然具有挑战性,并且每个类别都有不同的治疗选择。在每个风险类别内的亚组中进一步进行预后特征分析,可能有助于决策过程。

方法

本研究评估了 2020 年欧洲妇科肿瘤学会(ESGO)/欧洲放射肿瘤学会(ESTRO)/欧洲病理学会(ESP)风险评估系统以及 PORTEC-4a 试验中采用的三种预后特征在预测早期子宫内膜癌患者无疾病和总生存中的作用。根据 1:2 倾向评分匹配分析选择患者。此外,对肿瘤样本进行了 29 个基因的测序。

结果

该研究共纳入 137 例患者。在没有分子特征的情况下,2020 年 ESGO/ESTRO/ESP 风险分类中,5 年无病生存率和总生存率没有差异(p=0.766 和 p=0.176)。一旦整合了分子特征,总生存率的概率就有显著差异(p=0.011)。当应用三种预后特征时,复发的概率有 p 值为 0.097,总生存率有显著差异(p=0.004)。在经历复发的患者中,17.6%的患者存在 BRCA1/2、RAD50、BRIP1 和 XRCC2 的突变,22.5%的患者存在 PD-L1 阳性表达和 MUTYH 突变。

结论

根据最相关的预后特征,在每个风险类别内进一步分层,可以更好地定义早期子宫内膜癌患者的预后。近一半经历复发的患者存在可靶向的分子改变,应鼓励进行专门的试验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb45/9541547/891ce0f90379/CNCR-128-2898-g003.jpg

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