Imaging Mass Spectrometry-Based Proteomic Analysis to Differentiate Melanocytic Nevi and Malignant Melanoma

The discrimination of malignant melanoma from benign nevi may be difficult in some cases. For this reason, immunohistological and molecular techniques are included in the differential diagnostic toolbox for these lesions. These methods are time consuming when applied subsequently and, in some cases,...

Full description

Saved in:
Bibliographic Details
Published in:Cancers 2021-06, Vol.13 (13), p.3197
Main Authors: Casadonte, Rita, Kriegsmann, Mark, Kriegsmann, Katharina, Hauk, Isabella, Meliß, Rolf R, Müller, Cornelia S L, Kriegsmann, Jörg
Format: Article
Language:English
Subjects:
Accuracy
Antigens
Classification
Differential diagnosis
Discriminant analysis
Histology
Ions
Lesions
Mass spectrometry
Mass spectroscopy
Melanoma
Nevus
Peptides
Prediction models
Principal components analysis
Proteomics
Reproducibility
Scientific imaging
Skin cancer
Software
Statistical analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The discrimination of malignant melanoma from benign nevi may be difficult in some cases. For this reason, immunohistological and molecular techniques are included in the differential diagnostic toolbox for these lesions. These methods are time consuming when applied subsequently and, in some cases, no definitive diagnosis can be made. We studied both lesions by imaging mass spectrometry (IMS) in a large cohort ( = 203) to determine a different proteomic profile between cutaneous melanomas and melanocytic nevi. Sample preparation and instrument setting were tested to obtain optimal results in term of data quality and reproducibility. A proteomic signature was found by linear discriminant analysis to discern malignant melanoma from benign nevus ( = 113) with an overall accuracy of >98%. The prediction model was tested in an independent set ( = 90) reaching an overall accuracy of 93% in classifying melanoma from nevi. Statistical analysis of the IMS data revealed mass-to-charge ratio ( peaks which varied significantly (Area under the receiver operating characteristic curve > 0.7) between the two tissue types. To our knowledge, this is the largest IMS study of cutaneous melanoma and nevi performed up to now. Our findings clearly show that discrimination of melanocytic nevi from melanoma is possible by IMS.
ISSN:2072-6694
2072-6694
DOI:10.3390/cancers13133197