Publications by authors named "J Hausnerova"

Low-grade endometrial stromal sarcoma (LG-ESS) can present diagnostic challenges, due to its overlapping morphological features with other uterine mesenchymal tumors. Misdiagnosis rates remain significant, and immunohistochemical data for LG-ESS are limited to small series and inconsistent antibody panels. This study aimed to refine the IHC profile of LG-ESS by analyzing a large, molecularly confirmed series of 147 cases using a panel of 24 antibodies, including newer markers like transgelin and smoothelin.

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Background: Juvenile granulosa cell tumor (JGCT) of the ovary is a rare tumor with distinct clinicopathological and hormonal features primarily affecting young women and children. We conducted a complex clinicopathological, immunohistochemical, and molecular analysis of five cases of JGCT.

Methods: The immunohistochemical examination was performed with 32 markers, including markers that have not been previously investigated.

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Article Synopsis
  • About 95% of AGCT cases carry the FOXL2 p.C134W mutation, while TERT promoter alterations are associated with worse survival outcomes.
  • This study analyzed 183 primary and 44 recurrent AGCTs, revealing potential prognostic implications of FOXO1 mutations and confirming high rates of FOXL2 mutations, while uncovering various other genetic mutations associated with AGCT recurrence.
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Article Synopsis
  • This study analyzes 37 ovarian Sertoli-Leydig cell tumors (SLCT) with a focus on their morphology, immunohistochemistry, and molecular features, categorizing them into well, moderately, and poorly differentiated tumors.
  • High levels of sex cord markers were found, along with variable expression of other markers, and notable mutations like DICER1 (54.5%) and FOXL2 (6%) were identified, suggesting important diagnostic and predictive implications.
  • Differences in mRNA expression profiles between DICER1 and non-DICER1 tumors highlight the distinct molecular characteristics of SLCTs, indicating that well-differentiated tumors could represent a unique subtype apart from the others.
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Objective: The prognostic relevance of hormonal biomarkers in endometrial cancer (EC) has been well-established. A refined three-tiered risk model for estrogen receptor (ER)/progesterone receptor (PR) expression was shown to improve prognostication. This has not been evaluated in relation to the molecular subgroups.

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