Lessons from genomic profiling: towards a molecular-based classification of ovarian Sertoli-Leydig cell tumour

Felix K F Kommoss

doi:10.1111/his.15110

Lessons from genomic profiling: towards a molecular-based classification of ovarian Sertoli-Leydig cell tumour

Histopathology. 2024 Mar;84(4):712-714. doi: 10.1111/his.15110. Epub 2023 Dec 19.

Author

Felix K F Kommoss^{1

2

3}

Affiliations

¹ Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
² Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
³ Department of Molecular Oncology, British Columbia Cancer Research Institute, Vancouver, BC, Canada.

PMID: 38114269
DOI: 10.1111/his.15110

Abstract

Currently available molecular data support a dichotomous classification of Sertoli-Leydig cell tumours (SLCTs) based on DICER1 mutational status. This correspondence suggests a possible roadmap towards a molecular-based classification of SLCT.

Publication types

Letter

MeSH terms

DEAD-box RNA Helicases / genetics
Female
Genomics
Humans
Male
Ovarian Neoplasms* / genetics
Ovarian Neoplasms* / pathology
Ribonuclease III / genetics
Sertoli-Leydig Cell Tumor* / genetics
Sertoli-Leydig Cell Tumor* / pathology
Sex Cord-Gonadal Stromal Tumors* / pathology

Substances

Ribonuclease III
DICER1 protein, human
DEAD-box RNA Helicases

Supplementary concepts

Androblastoma of ovary

Grants and funding

52389807/Deutsche Forschungsgemeinschaft