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Updated: Jan 29, 2026
05:16
Multiplexed Fluorescent Immunohistochemical Staining of Four Endometrial Immune Cell Types in Recurrent Miscarriage
Published on: August 4, 2021
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Alignment of Molecular Classification Between Diagnosis and Recurrence in Endometrial Cancer: Lessons from a
Stefano Restaino1,2, Giulia Pellecchia1,3, Martina Arcieri1
1Clinic of Obstetrics and Gynecology, "Santa Maria della Misericordia" University Hospital, Azienda Sanitaria Universitaria Friuli Centrale, 33100 Udine, Italy.
Cancers
|January 28, 2026
Summary
This study examined molecular classification changes in endometrial carcinoma (EC) recurrence. While discordance was non-significant in this cohort, it highlights the need for further research on EC's evolving molecular profile.
Area of Science:
- Gynecologic Oncology
- Cancer Genomics
- Molecular Pathology
Background:
- Endometrial carcinoma (EC) is the most common gynecological cancer.
- The molecular profile of EC is crucial for its clinical, pathological, and prognostic trajectory.
- Understanding molecular changes is vital across all disease facets.
Purpose of the Study:
- To assess the concordance of tumor molecular classification (MC) between initial endometrial carcinoma (EC) diagnosis and recurrence.
- To investigate potential shifts in MC upon disease relapse.
Main Methods:
- Single-center retrospective study.
- Inclusion of patients who underwent hysterectomy for EC between 2016 and 2020.
- Analysis of molecular classification changes in recurrent cases.
Main Results:
- 221 EC cases were analyzed, with 18 recurrences identified.
- Two cases showed a change in molecular classification: MMR-deficient endometrioid EC to 'multiple classifier' and NSMP to aberrant mutated p53.
- The rate of MC discordance was non-significant in this cohort.
Conclusions:
- This is the first study to report on the discordance rate of molecular classifications in EC relapses compared to initial diagnosis.
- The observed molecular shifts, though non-significant in this cohort, warrant further investigation.
- Large-scale retrospective and prospective multicenter studies are essential to explore this phenomenon.
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