Gynecologic Oncology Unit, Obstetrics and Gynecology Service, Department of Surgery, Hospital da Luz Lisboa, Lisbon, Portugal.
Gynecologic Oncology Unit, Department of Pathology, Hospital da Luz Lisboa, Lisbon, Portugal.
Pathol Oncol Res. 2024 Aug 16;30:1611835. doi: 10.3389/pore.2024.1611835. eCollection 2024.
Since the seminal publication of the TCGA consortium in 2013, the molecular classification of endometrial cancer has been widely accepted as a new and powerful tool to better understand the natural history of this malignancy. Adoption of routine molecular classification around the world has been limited. We sought to demonstrate our initial experience in incorporating the four molecular subtypes for endometrioid carcinomas.
This was a retrospective analysis at a single center in Portugal. Molecular classification was determined using immunohistochemical staining for MMR and p53 and to determine mutation status as per published PROMISE method. Descriptive statistics were reported.
20 patients with endometrioid histology were included. Median age of the cohort was 64 years (range 45-76). Median Body Mass Index (kg/m) was 29.81 (range 21.3-43.1). In terms of tumor grading, 16 (80%) of the endometrial carcinomas of the cohort were low-grade (either grade 1 or grade 2). 16 (80%) of the cases were FIGO stage I. Regarding the molecular classification the tumors were classified as: MMRd [n = 6 (30%)]; p53 abn [n = 2 (10%)]; NSMP (n = 10 (50%)), ultramut [n = 2 (10%)].
Despite the small sample size, we were able to show that molecular classification is feasible. To our knowledge this is the first cohort of endometroid endometrial carcinomas fully characterized according to the TCGA classification in Portugal, from one single center.
自 2013 年 TCGA 联盟的开创性出版物以来,子宫内膜癌的分子分类已被广泛接受为更好地了解这种恶性肿瘤自然史的新的强大工具。在全球范围内,常规采用分子分类的情况有限。我们旨在展示我们在纳入四种子宫内膜样癌分子亚型方面的初步经验。
这是葡萄牙一家单一中心的回顾性分析。使用免疫组织化学染色法检测 MMR 和 p53 来确定分子分类,并根据已发表的 PROMISE 方法确定 突变状态。报告了描述性统计数据。
纳入了 20 例具有子宫内膜样组织学的患者。队列的中位年龄为 64 岁(范围为 45-76 岁)。中位体重指数(kg/m)为 29.81(范围为 21.3-43.1)。就肿瘤分级而言,队列中 16 例(80%)子宫内膜癌为低级别(1 级或 2 级)。16 例(80%)病例为 FIGO 分期 I 期。根据分子分类,肿瘤分为:MMRd [n=6(30%)];p53 abn [n=2(10%)];NSMP(n=10(50%)),ultramut [n=2(10%)]。
尽管样本量较小,但我们能够表明分子分类是可行的。据我们所知,这是葡萄牙第一个根据 TCGA 分类对子宫内膜样子宫内膜癌进行全面特征描述的队列,来自一个单一中心。