Molecular Diagnosis of Melanocytic Neoplasia: Updates and Challenges

Distinction of melanoma from less aggressive melanocytic neoplasms is essential to avoid over- or undertreatment. Melanocytic neoplasms can harbor a broad spectrum of molecular drivers, including mutations, amplifications, and fusions, associated with an array of morphologies and biologic behavior. This molecular complexity creates challenges for classification and diagnosis of malignancy. Here, we review current knowledge to present a molecular framework for classifying melanocytic neoplasia and describe current molecular testing modalities useful for informing accurate diagnosis in challenging cases.

Authors

Institutions

Publication Details

Journal
Cancers
Published
2026-10-15
DOI
https://doi.org/10.3390/cancers18203330
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

Molecular Diagnosis of Melanocytic Neoplasia: Updates and Challenges

Jaclyn M. Plotzke, Paul W. Harms, Scott C. Bresler, Grace Wang
Cancers
Cutaneous Melanoma Detection and Management
article

Molecular Diagnosis of Melanocytic Neoplasia: Updates and Challenges

Jaclyn M. Plotzke, Paul W. Harms, Scott C. Bresler, Grace Wang
article en

Abstract

Distinction of melanoma from less aggressive melanocytic neoplasms is essential to avoid over- or undertreatment. Melanocytic neoplasms can harbor a broad spectrum of molecular drivers, including mutations, amplifications, and fusions, associated with an array of morphologies and biologic behavior. This molecular complexity creates challenges for classification and diagnosis of malignancy. Here, we review current knowledge to present a molecular framework for classifying melanocytic neoplasia and describe current molecular testing modalities useful for informing accurate diagnosis in challenging cases.

CancersVol. 18(20)
University of Michigan (US), Michigan Medicine (US), U-M Rogel Cancer Center (US)
Good health and well-being
Openalex Percentile: Top 17%
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.