{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T11:41:12Z","timestamp":1792496472188,"version":"4.5.0"},"reference-count":39,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:00:00Z","timestamp":1792454400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:00:00Z","timestamp":1792454400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Intl Journal of Cancer"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Early detection of melanoma remains challenging, and minimally invasive diagnostic tools are needed to complement imaging and histopathology. Circulating tumour antigen\u2010specific antibodies (Abs) are promising biomarkers, but their diagnostic value across melanoma stages is not fully established. Circulating IgG and IgM Abs were profiled in plasma from two independent melanoma cohorts, early\u2010stage (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200965) and advanced\u2010stage (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200977), alongside healthy controls (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200986) and individuals with prior cancer in remission (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200937). A protein microarray containing 263 tumour antigens, predominantly cancer\u2013testis (CT) antigens, was used to measure plasma antibody (Ab) reactivity. Univariate and multivariate ROC analyses identified candidate diagnostic biomarker signatures. Early\u2010stage melanoma was best distinguished by an IgM signature comprising AURKA, BAGE3, BAGE4, CDK7, CEP290, MYBL2, PIAS2, RAD51 and SPANXB1 (AUC\u2009=\u20090.939). An IgG signature including ANKRD45, BCL2L14, CDK2, MAGEA4v3, MAPK3 and RBM46 achieved AUC\u2009=\u20090.827. Advanced\u2010stage melanoma exhibited broader Ab repertoires, including an IgG signature (CTAG1A, DKKL1, PIWIL2, SPANXN1, TSGA10, TSPY1; AUC\u2009=\u20090.865) and an IgM signature (CPXCR1, CSAG2, FMR1NB, FOXR2, LIPI, MAGEA5, TSGA10; AUC\u2009=\u20090.889). Individuals in cancer remission displayed persistent Ab signatures distinct from early melanoma and healthy controls. Overlap between IgG and IgM repertoires was minimal, highlighting complementary discriminatory value. Circulating IgG and IgM Abs against tumour antigens reveal stage\u2010specific signatures that distinguish melanoma from healthy individuals and those in cancer remission, identifying candidate discovery\u2010stage diagnostic biomarker signatures warranting independent validation in larger prospective cohorts to determine clinical utility.\n                  <\/jats:p>","DOI":"10.1002\/ijc.70726","type":"journal-article","created":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T10:56:11Z","timestamp":1792493771000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Tumour Antigen\u2010Specific Antibody Signatures as Diagnostic Biomarkers for Melanoma"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0342-8200","authenticated-orcid":false,"given":"Cristina","family":"Vico\u2010Alonso","sequence":"first","affiliation":[{"name":"Dermatology Department Fundaci\u00f3n Instituto de Investigaci\u00f3n Hospital 12 de Octubre [i+12], Universidad de Alcal\u00e1, Escuela de Doctorado  Madrid Spain"},{"name":"Monash School of Public Health and Preventive Medicine Monash University  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tawany","family":"De Carvalho Gil","sequence":"additional","affiliation":[{"name":"Olivia Newton\u2010John Cancer Research Institute, and La Trobe School of Cancer Medicine La Trobe University  Heidelberg Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maithili","family":"Sashindranath","sequence":"additional","affiliation":[{"name":"Australian Centre for Blood Diseases, Central Clinical School Monash University, Alfred Hospital  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victoria","family":"Mar","sequence":"additional","affiliation":[{"name":"Victorian Melanoma Service, Alfred Hospital, School of Public Health and Preventive Medicine Monash University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4289-5204","authenticated-orcid":false,"given":"Jessica","family":"Da Gama Duarte","sequence":"additional","affiliation":[{"name":"Olivia Newton\u2010John Cancer Research Institute, and La Trobe School of Cancer Medicine La Trobe University  Heidelberg Victoria Australia"},{"name":"Department of Cancer Medicine, School of Translational Medicine Monash University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,20]]},"reference":[{"issue":"1","key":"e_1_2_12_2_1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.clindermatol.2008.09.001","article-title":"Melanoma Epidemiology and Trends","volume":"27","author":"Garbe C.","year":"2009","journal-title":"Clinics in Dermatology"},{"issue":"6","key":"e_1_2_12_3_1","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1016\/j.jid.2016.01.035","article-title":"The Growing Burden of Invasive Melanoma: Projections of Incidence Rates and Numbers of New Cases in Six Susceptible Populations Through 2031","volume":"136","author":"Whiteman D. 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