Hollis Robert L, Stanley Barbara, Thomson John P, Churchman Michael, Croy Ian, Rye Tzyvia, Bartos Clare, Nussey Fiona, Mackean Melanie, Meynert Alison M, Semple Colin A, Gourley Charlie, Herrington C Simon
Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Beatson West of Scotland Cancer Centre and University of Glasgow, Glasgow, UK.
NPJ Precis Oncol. 2021 Jun 2;5(1):47. doi: 10.1038/s41698-021-00187-y.
Endometrioid ovarian carcinoma (EnOC) is an under-investigated ovarian cancer type. Recent studies have described disease subtypes defined by genomics and hormone receptor expression patterns; here, we determine the relationship between these subtyping layers to define the molecular landscape of EnOC with high granularity and identify therapeutic vulnerabilities in high-risk cases. Whole exome sequencing data were integrated with progesterone and oestrogen receptor (PR and ER) expression-defined subtypes in 90 EnOC cases following robust pathological assessment, revealing dominant clinical and molecular features in the resulting integrated subtypes. We demonstrate significant correlation between subtyping approaches: PR-high (PR + /ER + , PR + /ER-) cases were predominantly CTNNB1-mutant (73.2% vs 18.4%, P < 0.001), while PR-low (PR-/ER + , PR-/ER-) cases displayed higher TP53 mutation frequency (38.8% vs 7.3%, P = 0.001), greater genomic complexity (P = 0.007) and more frequent copy number alterations (P = 0.001). PR-high EnOC patients experience favourable disease-specific survival independent of clinicopathological and genomic features (HR = 0.16, 95% CI 0.04-0.71). TP53 mutation further delineates the outcome of patients with PR-low tumours (HR = 2.56, 95% CI 1.14-5.75). A simple, routinely applicable, classification algorithm utilising immunohistochemistry for PR and p53 recapitulated these subtypes and their survival profiles. The genomic profile of high-risk EnOC subtypes suggests that inhibitors of the MAPK and PI3K-AKT pathways, alongside PARP inhibitors, represent promising candidate agents for improving patient survival. Patients with PR-low TP53-mutant EnOC have the greatest unmet clinical need, while PR-high tumours-which are typically CTNNB1-mutant and TP53 wild-type-experience excellent survival and may represent candidates for trials investigating de-escalation of adjuvant chemotherapy to agents such as endocrine therapy.
子宫内膜样卵巢癌(EnOC)是一种研究不足的卵巢癌类型。最近的研究描述了由基因组学和激素受体表达模式定义的疾病亚型;在此,我们确定这些分型层次之间的关系,以高分辨率定义EnOC的分子格局,并识别高危病例中的治疗弱点。在进行严格的病理评估后,将90例EnOC病例的全外显子测序数据与孕激素和雌激素受体(PR和ER)表达定义的亚型相结合,揭示了所得整合亚型中的主要临床和分子特征。我们证明了分型方法之间存在显著相关性:PR高(PR + / ER + 、PR + / ER -)病例主要为CTNNB1突变型(73.2% 对18.4%,P < 0.001),而PR低(PR - / ER + 、PR - / ER -)病例显示出更高的TP53突变频率(38.8% 对7.3%,P = 0.001)、更大的基因组复杂性(P = 0.007)和更频繁的拷贝数改变(P = 0.001)。PR高的EnOC患者无论临床病理和基因组特征如何,都有良好的疾病特异性生存(HR = 0.16,95% CI 0.04 - 0.71)。TP53突变进一步描绘了PR低肿瘤患者的预后(HR = 2.56,95% CI 1.14 - 5.75)。一种利用PR和p53免疫组织化学的简单、常规适用的分类算法概括了这些亚型及其生存情况。高危EnOC亚型的基因组概况表明,MAPK和PI3K - AKT通路抑制剂以及PARP抑制剂是有望改善患者生存的候选药物。PR低TP53突变的EnOC患者有最大的未满足临床需求,而PR高的肿瘤(通常为CTNNB1突变型和TP53野生型)生存良好,可能代表了研究将辅助化疗降级为内分泌治疗等药物的试验候选者。