Skip to main content
Erschienen in:

19.12.2023 | ORIGINAL ARTICLE

Shedding light on PRAME expression in dysplastic nevi: a cohort study

verfasst von: Lorenzo Innocenti, Rosa Scarpitta, Serena Corraro, Valerio Ortenzi, Angelo G. Bonadio, Barbara Loggini, Katia De Ieso, Antonio G. Naccarato, Giuseppe N. Fanelli, Cristian Scatena

Erschienen in: Virchows Archiv | Ausgabe 1/2024

Einloggen, um Zugang zu erhalten

Abstract

Dysplastic nevi represent one of the least agreed-upon entities in dermatopathology despite the existence of established criteria. This study explores preferentially expressed antigen in melanoma (PRAME) in dysplastic nevi, an uncharted area. We examined 22 common melanocytic nevi (CMN), 20 cutaneous melanomas (CM), 48 low-grade dysplastic nevi (LG-DN), and 40 high-grade dysplastic nevi (HG-DN). PRAME was immunohistochemically assessed using a five-tiered system (0 to 4 +). Among CMN, 59% scored 0, 32% scored 1 + , and 9% scored 2 + . CM had score 2 + and 4 + in 11% and 89% of cases, respectively. Among LG-DN, 38% presented score 0, 31% score 1 + , 17% score 2 + , 8% score 3 + , and 6% score 4 + . Thirty per cent of HG-DN demonstrated a score 0, 30% with score 1 + , 15% score 2 + , 10% score 3 + , and 15% score 4 + . Compared to CMN and CM, LG-DN and HG-DN showed heterogeneous expression profiles of PRAME. PRAME positivity effectively distinguished HG-DN from CM with 85% specificity and 80% sensitivity (p < 0.0001). Predictive values were 87% (negative) and 76% (positive). Furthermore, a trend of increased PRAME expression from LG-DN to HG-DN was observed. However, the applicability of PRAME in the differential diagnosis of dysplastic lesions remains unclear as can yield conflicting results with morphology, which remains the primary diagnostic tool for melanocytic lesions.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
Metadaten
Titel
Shedding light on PRAME expression in dysplastic nevi: a cohort study
verfasst von
Lorenzo Innocenti
Rosa Scarpitta
Serena Corraro
Valerio Ortenzi
Angelo G. Bonadio
Barbara Loggini
Katia De Ieso
Antonio G. Naccarato
Giuseppe N. Fanelli
Cristian Scatena
Publikationsdatum
19.12.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Virchows Archiv / Ausgabe 1/2024
Print ISSN: 0945-6317
Elektronische ISSN: 1432-2307
DOI
https://doi.org/10.1007/s00428-023-03720-5

Neu im Fachgebiet Pathologie

„KI“ in der Rechtsmedizin – von der Forschung in die Praxis: Welche Herausforderungen ergeben sich?

Der Einsatz künstlicher Intelligenz (KI) in der Rechtsmedizin ist absehbar, KI-Anwendungen könnten im Ermittlungsverfahren oder in foro bald eine zentrale Rolle in Entscheidungsprozessen einnehmen. Dann werden insbesondere Transparenz …

Latent spaces of generative models for forensic age estimation

  • Open Access
  • Original reports

Similar to other parts of our society, machine learning has emerged as a popular tool within different areas of forensic medicine and will soon fuel more and more research and practice niches of our disciplines. Given the rapid advances, the …

Artificial intelligence in forensic pathology: an Australian and New Zealand perspective

  • Open Access
  • Leitthema

Artificial intelligence application has gained popularity in the last decade. Its application is implemented into multiple industries including the health sector; however, discipline-specific artificial intelligence applications are not widely …

Künstliche Intelligenz in der forensisch-radiologischen Altersdiagnostik

Fragen zu Implementierung und Nutzbarkeit von künstlicher Intelligenz (KI) spielen eine immer größere Rolle in der Forensischen Altersdiagnostik bei Lebenden, insbesondere im Rahmen forensisch-radiologischer Ansätze. Bis dato liegen bereits …