Published August 9, 2024 | Version v1
Journal article Open

Comprehensive molecular characterization of early stage grade 3 endometrioid endometrial adenocarcinoma

  • 1. University of Chicago
  • 2. McGill University
  • 3. Oslo University Hospital
  • 4. University of Texas
  • 5. University of Oslo

Description

Objective: The treatment for stage IB grade 3 endometrioid endometrial adenocarcinoma is challenging with variable practice. Molecular characterization may help identify adjuvant therapy strategies beyond stage. We aimed to better understand the molecular features of these tumors by characterizing them by ProMisE classification, mutational signature, and commonly mutated genes.

Methods: Patients with stage IB grade 3 EEC at two institutions were included. Immunohistochemistry and whole exome sequencing were performed on archival FFPE tissue sections to determine ProMisE classification. Personal Cancer Genome Reporter was used for somatic variant annotation, and mutational signatures were generated based on COSMIC single base substitution mutational signatures.

Results: 46 patients were included with variable adjuvant treatment. Nine patients recurred (19.6%), most with extra-abdominal disease (n = 5, or 55.6%). 10 had POLE mutations (21.7%), 18 were MMR deficient (39.1%), 6 had abnormal p53 (13.0%), and 12 were p53 wildtype (26.1%). There were no recurrences in the POLE subgroup. A dominant mutational signature was identified in 38 patients: 17 SBS5 signature (44.7%), 10 SBS15 or SBS44 signature (26.3%), 7 SBS10a or SBS10b signature (18.4%), 3 SBS14 signature (7.9%), and 1 SBS40 signature (2.6%). The six patients that recurred had a SBS5 signature. Frequently mutated genes included ARID1A (n = 30, 65%), PTEN (n = 28, 61%), MUC16 (n = 27, 59%), and PIK3CA (n = 25, 54%).

Conclusions: This comprehensive evaluation found a molecularly diverse cohort of tumors, despite the same histology, stage and grade. Mutational signature SBS5 correlated with a high risk of recurrence. Further refining of endometrial cancer classification may enable more precise patient stratification and personalized treatment approaches.

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Additional details

Identifiers

DOI
10.1016/j.ygyno.2024.07.677
Other
oai:uchicago.tind.io:13142

Funding

National Institutes of Health
T32 CA101642
MD Anderson and Oslo University Hospital Sister Institution Network Fund

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Obstetrics and Gynecology