{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T03:01:35Z","timestamp":1792119695584,"version":"4.4.0"},"reference-count":16,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2019,11,27]],"date-time":"2019-11-27T00:00:00Z","timestamp":1574812800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Cutan Pathol"],"published-print":{"date-parts":[[2020,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Purpose<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We performed histolpathology \u2010 guided mass spectrometry (HGMS) profiling analysis on formalin\u2010fixed, 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cup.13610","type":"journal-article","created":{"date-parts":[[2019,11,7]],"date-time":"2019-11-07T14:23:28Z","timestamp":1573136608000},"page":"226-240","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Histopathology\u2010guided mass spectrometry differentiates benign nevi from malignant melanoma"],"prefix":"10.1111","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0796-692X","authenticated-orcid":false,"given":"Rossitza","family":"Lazova","sequence":"first","affiliation":[{"name":"Department of Pathology California Skin Institute  San Jose California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katy","family":"Smoot","sequence":"additional","affiliation":[{"name":"New River Labs, LLC  Morgantown West Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heather","family":"Anderson","sequence":"additional","affiliation":[{"name":"New River Labs, LLC  Morgantown West Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew J.","family":"Powell","sequence":"additional","affiliation":[{"name":"New River Labs, LLC  Morgantown West Virginia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0150-9904","authenticated-orcid":false,"given":"Arlene S.","family":"Rosenberg","sequence":"additional","affiliation":[{"name":"Department of Dermatology MetroHealth Medical Center, Case Western Reserve University  Cleveland Ohio"},{"name":"Cleveland Skin Pathology Laboratory Inc  Beachwood 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