Quantifying the Interplay Between PRAME Expression and Classical Morphology: A Multivariable Analysis of 954 Suspected Melanocytic Lesions

The integration of immunohistochemical biomarkers like PRAME (Preferentially Expressed Antigen in Melanoma) into the histomorphological assessment of melanocytic lesions is gaining prominence. While PRAME’s diagnostic value is widely recognized, its independent weight compared directly to classical morphology remains underexplored in large, challenging cohorts. This retrospective study quantifies the diagnostic utility of PRAME alongside traditional histomorphology in a high-risk cohort of 954 primary melanocytic lesions (335 nevi, 215 melanomas in situ, 404 invasive melanomas) where PRAME was clinically requested to resolve diagnostic ambiguity. Using Firth’s penalized likelihood regression, a baseline diagnostic model utilizing 13 histomorphological features was established and subsequently integrated with PRAME expression. The pure morphology baseline model demonstrated a high cross-validated area under the curve (AUC) of 0.969. As a standalone marker, PRAME achieved an AUC of 0.895, with a diffuse expression score of 4+ yielding peak specificity (94.3%) and moderate sensitivity (77.9%). Integrating PRAME into the morphological model significantly enhanced diagnostic accuracy (AUC: 0.980; p < 0.001), establishing PRAME as a dominant independent predictor of malignancy alongside core features like junctional atypia and upward melanocytes (Odds Ratio 19.08 for Score 4+). Analysis of discordant cases revealed that completely PRAME-negative melanomas were morphologically indistinguishable from typical PRAME-positive melanomas. Conversely, diffusely PRAME-positive (4+) nevi exhibited significantly higher rates of upward migrating melanocytes, constituting a critical diagnostic pitfall. In conclusion, while classic histomorphology remains the indispensable gold standard in dermatopathology, PRAME functions as a highly objective, reproducible tie-breaker. The synergistic integration of PRAME with morphological assessment effectively resolves diagnostic ambiguity and maximizes diagnostic confidence in challenging melanocytic lesions.

Authors

Institutions

Publication Details

Journal
Dermatopathology
Published
2026-08-03
DOI
https://doi.org/10.3390/dermatopathology13030035
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying the Interplay Between PRAME Expression and Classical Morphology: A Multivariable Analysis of 954 Suspected Melanocytic Lesions

Jörg Laske, Mildred Sergon, Stefan Beissert, Claudia Günther et al.
Dermatopathology
Cutaneous Melanoma Detection and Management
article

Quantifying the Interplay Between PRAME Expression and Classical Morphology: A Multivariable Analysis of 954 Suspected Melanocytic Lesions

Jörg Laske, Mildred Sergon, Stefan Beissert, Claudia Günther, Sarah Hobelsberger, Narmin Ghaffari Laleh, Jakob Nikolas Kather, Frank Friedrich Gellrich, Cosima Hufnagel, Gustavo Baretton, Nick Reidow, Daniela Aust, Alaska Kistner
article en

Abstract

The integration of immunohistochemical biomarkers like PRAME (Preferentially Expressed Antigen in Melanoma) into the histomorphological assessment of melanocytic lesions is gaining prominence. While PRAME’s diagnostic value is widely recognized, its independent weight compared directly to classical morphology remains underexplored in large, challenging cohorts. This retrospective study quantifies the diagnostic utility of PRAME alongside traditional histomorphology in a high-risk cohort of 954 primary melanocytic lesions (335 nevi, 215 melanomas in situ, 404 invasive melanomas) where PRAME was clinically requested to resolve diagnostic ambiguity. Using Firth’s penalized likelihood regression, a baseline diagnostic model utilizing 13 histomorphological features was established and subsequently integrated with PRAME expression. The pure morphology baseline model demonstrated a high cross-validated area under the curve (AUC) of 0.969. As a standalone marker, PRAME achieved an AUC of 0.895, with a diffuse expression score of 4+ yielding peak specificity (94.3%) and moderate sensitivity (77.9%). Integrating PRAME into the morphological model significantly enhanced diagnostic accuracy (AUC: 0.980; p < 0.001), establishing PRAME as a dominant independent predictor of malignancy alongside core features like junctional atypia and upward melanocytes (Odds Ratio 19.08 for Score 4+). Analysis of discordant cases revealed that completely PRAME-negative melanomas were morphologically indistinguishable from typical PRAME-positive melanomas. Conversely, diffusely PRAME-positive (4+) nevi exhibited significantly higher rates of upward migrating melanocytes, constituting a critical diagnostic pitfall. In conclusion, while classic histomorphology remains the indispensable gold standard in dermatopathology, PRAME functions as a highly objective, reproducible tie-breaker. The synergistic integration of PRAME with morphological assessment effectively resolves diagnostic ambiguity and maximizes diagnostic confidence in challenging melanocytic lesions.

DermatopathologyVol. 13(3)
National Center for Tumor Diseases (DE), University Children's Hospital Tübingen (DE), University Hospital Carl Gustav Carus (DE), Technische Universität Dresden (DE), University of Tübingen (DE)
Openalex Percentile: Top 12%
Cutaneous Melanoma Detection and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.