Next-generation sequencing in the molecular classification of endometrial carcinomas: Experience with 270 cases suggesting a potentially more aggressive clinical behavior of multiple classifier endometrial carcinomas

Abstract

Molecular classification of endometrial carcinomas (EC) divides these neoplasms into four distinct subgroups based on their molecular background. Given its clinical significance, genetic examination is becoming integral to the diagnostic process. This study aims to share our experience with the molecular classification of EC using immunohistochemistry (IHC) and next-generation sequencing (NGS). We included all ECs diagnosed at two institutions from 2020 to the present. All cases were prospectively examined by IHC for MMR proteins and p53, followed by NGS using a customized panel covering 18 genes, based on which ECs were classified into four molecular subgroups: POLE mutated, hypermutated (MMR deficient), no specific molecular profile (NSMP), and TP53 mutated. The cohort comprised 270 molecularly classified ECs: 18 (6.6%) POLE mutated, 85 (31.5%) hypermutated, 137 (50.7%) NSMP, and 30 (11.1%) TP53 mutated. Twelve cases (4.4%) were classified as 'multiple classifier' EC. Notably, most of these cases with available follow-up (6/9) behaved aggressively. Within the POLEmut EC group, 3/4 cases had advanced tumors, including one patient who died of the disease. Similarly, in the MMRd/TP53mut group, 3/5 patients with available follow-up had metastatic disease, leading to death of the patient in 1 case. ECs of NSMP showed multiple genetic alterations, with the most common mutations being PTEN (44% within the group of NSMP), followed by PIK3CA (30%), ARID1A (21%), and KRAS (9%). Our findings suggest that combining immunohistochemistry with NGS offers a more reliable classification of ECs, including 'multiple classifier' cases, which, based on our observations, tend to exhibit aggressive behavior. Additionally, our data highlight the complex genetic background of NSMP ECs, which can facilitate further stratification of tumors within this group and potentially help select patients for dedicated clinical trials.

Keywords: Endometrial carcinoma; Molecular classification; Multiple classifier; Next-generation sequencing.