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Myoid gonadal tumor. Case series, systematic review, and Bayesian analysis

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Abstract

Myoid gonadal stromal tumor represents a rare testicular neoplasm displaying smooth muscular and gonadal stromal differentiation. This entity has very few cases reported in the literature that describe heterogeneous clinical and pathological characteristics. Bayesian statistics provides a useful framework to combine information from diverse sources. We here presented a case series—the largest so far reported—of myoid gonadal stromal tumor (4 cases) with extensive morphologic, immunohistochemical, and molecular characterization, performed a systematic review of the literature (that identified 9 papers), and used a Bayesian data analysis to understand the characteristics of this disease. Our study collectively described 16 cases. This neoplasm is mainly found in adults (mean age about 40 years) and often has a size of about 3 cm. By morphology, the tumor can infiltrate testicular tubules and is composed of spindle cells; few mitoses can be seen (usually 2/10 HPF). Neoplastic cells are diffusely positive with α-smooth muscle actin with a tram-track staining pattern. S100 protein, FOXL2, and SF1 are also characteristically positive. Moreover, this neoplasm can display epithelial differentiation, in about half of the cases. In conclusion, we foresee the use of this statistical approach in pathology: our analysis allowed a more precise description of this rare entity.

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Data availability

All the data are available in the public repository https://github.com/slrenne/Myoid_Tumor_Testis.

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Authors

Contributions

SLR conceived the study; SLR, MV, AB, AT, RR, GR, and MC collected the data; SLR analyzed the data; SLR and MC interpreted the data; SLR and MV searched the literature; SLR generated the figures; SLR and MV wrote the manuscript; AB, AT, RR, GR, and MC corrected and reviewed the manuscript. All authors approved the final version of the manuscript.

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Correspondence to Maurizio Colecchia.

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All the custom code used for this paper is available in the public repository https://github.com/slrenne/Myoid_Tumor_Testis.

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Renne, S.L., Valeri, M., Tosoni, A. et al. Myoid gonadal tumor. Case series, systematic review, and Bayesian analysis. Virchows Arch 478, 727–734 (2021). https://doi.org/10.1007/s00428-020-02957-8

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