Characteristics of the immune microenvironment of endometrial cancer depending on the MMR status of the tumor
- 27 October 2025
- journal article
- abstracts
- Published by Media Sphere Publishing Group in Russian Journal of Archive of Pathology
- Vol. 87 (5) , 11-19
Abstract
Objective. To study the microenvironment features of MMR-proficient (pMMR) and MMR-deficient (dMMR) endometrial cancer. Material and methods. The study included 34 patients with pMMR endometrial cancer and 10 patients with dMMR endometrial cancer. Using the method of multiplex TSA-associated (tyramide signal amplification) immunofluorescence, phenotyping of the tumor microenvironment was performed with an assessment of stromal and intratumor cell localization and PD-1 expression. Results. In pMMR endometrial tumors, the predominant cell population was CD163+ macrophages, and in tumors with dMMR, CD163+ macrophages were found equally with CD8+ T lymphocytes and CD20+ B lymphocytes. In dMMR tumors, the number of CD8+ T lymphocytes and CD20+ B lymphocytes (as well as CD20+ B lymphocytes expressing PD-1) is higher compared to pMMR tumors, while the number of FoxP3+ T lymphocytes was significantly lower. The number of CD163+ macrophages did not differ depending on the MMR status, while the number of CD163+ macrophages was higher in the stroma compared to the number of these cells located intraepithelially. In patients with dMMR tumors, the number of CD8+ T lymphocytes was higher in the stroma, and did not differ in pMMR tumors. Conclusion. In this study, it was found that dMMR endometrial tumors are characterized by an increase in the proportion of CD8+ T lymphocytes and CD20+ B lymphocytes, which may be associated with a better response to immunotherapy. The differences in spatial distribution of CD8+ T lymphocytes and CD163+ macrophages confirmed the importance of immune cell localization for prognosis and treatment efficacy. These results highlight the need for further study of the endometrial cancer microenvironment in order to personalize therapy.Keywords
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