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

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.image

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Bibliographische Detailangaben
1. Verfasser: Kommoss, Felix (VerfasserIn)
Dokumenttyp: Article (Journal) Editorial
Sprache:Englisch
Veröffentlicht: March 2024
In: Histopathology
Year: 2024, Jahrgang: 84, Heft: 4, Pages: 712-714
ISSN:1365-2559
DOI:10.1111/his.15110
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1111/his.15110
Verlag, lizenzpflichtig, Volltext: https://www.webofscience.com/api/gateway?GWVersion=2&SrcAuth=DOISource&SrcApp=WOS&KeyAID=10.1111%2Fhis.15110&DestApp=DOI&SrcAppSID=EUW1ED0C07S0Bbpeni70GwWTZMbJM&SrcJTitle=HISTOPATHOLOGY&DestDOIRegistrantName=Wiley+%28Blackwell+Publishing%29
Volltext
Verfasserangaben:Felix K.F. Kommoss
Beschreibung
Zusammenfassung: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.image
Beschreibung:Gesehen am 16.02.2024
Beschreibung:Online Resource
ISSN:1365-2559
DOI:10.1111/his.15110

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