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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,...
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| Published in: | Cancers 2021-06, Vol.13 (13), p.3197 |
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| creator | Casadonte, Rita Kriegsmann, Mark Kriegsmann, Katharina Hauk, Isabella Meliß, Rolf R Müller, Cornelia S L Kriegsmann, Jörg |
| description | 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. |
| doi_str_mv | 10.3390/cancers13133197 |
| format | article |
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= 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.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers13133197</identifier><identifier>PMID: 34206844</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>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</subject><ispartof>Cancers, 2021-06, Vol.13 (13), p.3197</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-236977b5409299335a81c4de8dc1bfec6211cff8a1273fd3b13587a736f2634e3</citedby><cites>FETCH-LOGICAL-c421t-236977b5409299335a81c4de8dc1bfec6211cff8a1273fd3b13587a736f2634e3</cites><orcidid>0000-0002-9054-4786 ; 0000-0002-7319-3646</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2549278925/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2549278925?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,25734,27905,27906,36993,36994,44571,53772,53774,74875</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34206844$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Casadonte, Rita</creatorcontrib><creatorcontrib>Kriegsmann, Mark</creatorcontrib><creatorcontrib>Kriegsmann, Katharina</creatorcontrib><creatorcontrib>Hauk, Isabella</creatorcontrib><creatorcontrib>Meliß, Rolf R</creatorcontrib><creatorcontrib>Müller, Cornelia S L</creatorcontrib><creatorcontrib>Kriegsmann, Jörg</creatorcontrib><title>Imaging Mass Spectrometry-Based Proteomic Analysis to Differentiate Melanocytic Nevi and Malignant Melanoma</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>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.</description><subject>Accuracy</subject><subject>Antigens</subject><subject>Classification</subject><subject>Differential diagnosis</subject><subject>Discriminant analysis</subject><subject>Histology</subject><subject>Ions</subject><subject>Lesions</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Melanoma</subject><subject>Nevus</subject><subject>Peptides</subject><subject>Prediction models</subject><subject>Principal components analysis</subject><subject>Proteomics</subject><subject>Reproducibility</subject><subject>Scientific imaging</subject><subject>Skin cancer</subject><subject>Software</subject><subject>Statistical analysis</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkU1vFDEMhiMEolXpmRsaiQuXofmaZHJBKuWrUgtIwDnyZpwlZSZZkmyl_fekdKlKfbElP35l-yXkOaOvhTD0xEF0mAsTTAhm9CNyyKnmvVJGPr5XH5DjUq5oi4ZppZ-SAyE5VaOUh-TX-QLrENfdJZTSfdugqzktWPOufwsFp-5rThXTElx3GmHelVC6mrp3wXvMGGuAit0lzhCT29VGfcbr0EGcmuAc1hFi3bcXeEaeeJgLHu_zEfnx4f33s0_9xZeP52enF72TnNWeC2W0Xg2SGm6MEAOMzMkJx8mxlUenOGPO-xEY18JPYsXEMGrQQnmuhERxRN7c6m62qwUn19bMMNtNDgvknU0Q7P-dGH7adbq2I1daM94EXu0Fcvq9xVLtEorDuZ2BaVssH-QoKVXD0NCXD9CrtM3tU38pw_Vo-A11cku5nErJ6O-WYdTeeGkfeNkmXty_4Y7_55z4A4oDnJI</recordid><startdate>20210626</startdate><enddate>20210626</enddate><creator>Casadonte, Rita</creator><creator>Kriegsmann, Mark</creator><creator>Kriegsmann, Katharina</creator><creator>Hauk, Isabella</creator><creator>Meliß, Rolf R</creator><creator>Müller, Cornelia S L</creator><creator>Kriegsmann, Jörg</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9054-4786</orcidid><orcidid>https://orcid.org/0000-0002-7319-3646</orcidid></search><sort><creationdate>20210626</creationdate><title>Imaging Mass Spectrometry-Based Proteomic Analysis to Differentiate Melanocytic Nevi and Malignant Melanoma</title><author>Casadonte, Rita ; 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= 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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>34206844</pmid><doi>10.3390/cancers13133197</doi><orcidid>https://orcid.org/0000-0002-9054-4786</orcidid><orcidid>https://orcid.org/0000-0002-7319-3646</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Cancers, 2021-06, Vol.13 (13), p.3197 |
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| source | PubMed Central(OpenAccess); Publicly Available Content (ProQuest) |
| 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 |
| title | Imaging Mass Spectrometry-Based Proteomic Analysis to Differentiate Melanocytic Nevi and Malignant Melanoma |
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