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Ultrastructural features of tumor‐associated mast cells in parasympathetic paragangliomas (chemodectomas) of the neckстатья
Статья опубликована в высокорейтинговом журнале
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 1 мая 2024 г.
- Авторы: Chekmaryova Irina, Kalinin Dmitry, Kostin Andrey, Buchwalow Igor, Tiemann Markus, Elieh‐Ali‐Komi Daniel, Atiakshin Dmitrii
- Журнал: Microscopy Research and Technique
- Том: 87
- Номер: 6
- Год издания: 2024
- Издательство: John Wiley & Sons Inc.
- Местоположение издательства: United States
- Первая страница: 1373
- Последняя страница: 1383
- DOI: 10.1002/jemt.24523
- Аннотация: The mechanisms of the pathogenesis of neck paraganglioma (PGL) and the possible role of mast cells (MCs) in its development and metastasis are still poorly understood. We analyzed MCs' morphologic characterization, activation, and the properties of their cytoplasmic/released granules in PGLs, using light and transmission electron microscopy. Paragangliomas showed a large tumor-associated MC population both in the connective tissue layers of the tumor and between the tumor cells. Notably, MCs were presented by a high expression of specific proteases, size variation, polymorphism, and variable ultrastructural phenotype of granules. A massive number of granules were released surrounding the degranulated MCs while the integrity of MC membrane was maintained. Granules were electron-dense with or without a membrane, ranging from 0.2 to 0.8 μm in diameter. MC plasmalemma was not found at the site of MC-collagen fibrils contact, whereas the secretome and fibrils were directly contacted. We observed direct and mediator-based interactions between MCs and paraganglioma cells. The latter preserved their membrane integrity when MC granules were not in proximity. The effects of the MC secretome on the paraganglioma microenvironment demonstrated its pathogenetic role in tumor progression and allow its application to new diagnostic criteria and the development of protocols for personalized therapy.
- Добавил в систему: Калинин Дмитрий Валерьевич