Universität zu Köln

Lazova, Rossitza ORCID: 0000-0002-0796-692X, Smoot, Katy, Anderson, Heather, Powell, Matthew J., Rosenberg, Arlene S., Rongioletti, Franco, Pilloni, Luca, D'Hallewin, Sara, Gueorguieva, Ralitza, Tantcheva-Poor, Iliana, Obadofin, Omobolade, Camacho, Christine, Hsi, Andy, Kluger, Harriet H., Fadare, Oluwole and Seeley, Erin H. (2020). Histopathology - guided mass spectrometry differentiates benign nevi from malignant melanoma. J. Cutan. Pathol., 47 (3). S. 226 - 241. HOBOKEN: WILEY. ISSN 1600-0560

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Abstract

Purpose Distinguishing benign nevi from malignant melanoma using current histopathological criteria may be very challenging and is one the most difficult areas in dermatopathology. The goal of this study was to identify proteomic differences, which would more reliably differentiate between benign and malignant melanocytic lesions. Methods We performed histolpathology - guided mass spectrometry (HGMS) profiling analysis on formalin-fixed, paraffin embedded tissue samples to identify differences at the proteomic level between different types of benign nevi and melanomas. A total of 756 cases, of which 357 cases of melanoma and 399 benign nevi, were included in the study. The specimens originated from both biopsies (376 samples) and tissue microarray (TMA) cores (380 samples). After obtaining mass spectra from each sample, classification models were built using a training set of biopsy specimens from 111 nevi and 100 melanomas. The classification algorithm developed on the training data set was validated on an independent set of 288 nevi and 257 melanomas from both biopsies and TMA cores. Results In the melanoma cohort, 239/257 (93%) cases classified correctly in the validation set, 3/257 (1.2%) classified incorrectly, and 15/257 (5.8%) classified as indeterminate. In the cohort of nevi, 282/288 (98%) cases classified correctly, 1/288 (0.3%) classified incorrectly, and 5/288 (1.7%) were indeterminate. HGMS showed a sensitivity of 98.76% and specificity of 99.65% in determining benign vs malignant. Conclusion HGMS proteomic analysis is an objective and reliable test with minimal tissue requirements, which can be a helpful ancillary test in the diagnosis of challenging melanocytic lesions.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Lazova, Rossitza UNSPECIFIED orcid.org/0000-0002-0796-692X UNSPECIFIED Smoot, Katy UNSPECIFIED UNSPECIFIED UNSPECIFIED Anderson, Heather UNSPECIFIED UNSPECIFIED UNSPECIFIED Powell, Matthew J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Rosenberg, Arlene S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Rongioletti, Franco UNSPECIFIED UNSPECIFIED UNSPECIFIED Pilloni, Luca UNSPECIFIED UNSPECIFIED UNSPECIFIED D'Hallewin, Sara UNSPECIFIED UNSPECIFIED UNSPECIFIED Gueorguieva, Ralitza UNSPECIFIED UNSPECIFIED UNSPECIFIED Tantcheva-Poor, Iliana UNSPECIFIED UNSPECIFIED UNSPECIFIED Obadofin, Omobolade UNSPECIFIED UNSPECIFIED UNSPECIFIED Camacho, Christine UNSPECIFIED UNSPECIFIED UNSPECIFIED Hsi, Andy UNSPECIFIED UNSPECIFIED UNSPECIFIED Kluger, Harriet H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Fadare, Oluwole UNSPECIFIED UNSPECIFIED UNSPECIFIED Seeley, Erin H. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-127083
DOI:	10.1111/cup.13610
Journal or Publication Title:	J. Cutan. Pathol.
Volume:	47
Number:	3
Page Range:	S. 226 - 241
Date:	2020
Publisher:	WILEY
Place of Publication:	HOBOKEN
ISSN:	1600-0560
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SPITZ NEVI; DIAGNOSIS; HYBRIDIZATION; DISCORDANCE Multiple languages Dermatology; Pathology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/12708