{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T09:21:25Z","timestamp":1784193685060,"version":"3.55.0"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100005992","name":"Ministry of Education and Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005992","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004382","name":"Polish Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004382","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejcancer.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Cancer"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1016\/j.ejca.2022.07.031","type":"journal-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T03:52:43Z","timestamp":1662349963000},"page":"251-260","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":18,"special_numbering":"C","title":["Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma"],"prefix":"10.1016","volume":"174","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8729-6216","authenticated-orcid":false,"given":"Piotr","family":"Donizy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mateusz","family":"Krzyzinski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Markiewicz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3885-694X","authenticated-orcid":false,"given":"Pawel","family":"Karpinski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7193-2735","authenticated-orcid":false,"given":"Krzysztof","family":"Kotowski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3718-999X","authenticated-orcid":false,"given":"Artur","family":"Kowalik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jolanta","family":"Orlowska-Heitzman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bozena","family":"Romanowska-Dixon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8423-1823","authenticated-orcid":false,"given":"Przemyslaw","family":"Biecek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1406-7981","authenticated-orcid":false,"given":"Mai P.","family":"Hoang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejca.2022.07.031_bib1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1038\/s41572-022-00339-9","article-title":"Uveal melanoma","volume":"8","author":"Jager","year":"2022","journal-title":"Nat Rev Dis Prim"},{"key":"10.1016\/j.ejca.2022.07.031_bib2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1001\/jamaophthalmol.2016.5102","article-title":"Prognostic implications of the largest basal tumor diameter versus the TNM staging system in association with the gene expression profile for uveal melanoma","volume":"135","author":"Kivel\u00e4","year":"2017","journal-title":"JAMA Ophthalmol"},{"key":"10.1016\/j.ejca.2022.07.031_bib3","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1111\/aos.13668","article-title":"Tumour thickness, diameter, area or volume? The prognostic significance of conventional versus digital image analysis-based size estimation methods in uveal melanoma","volume":"96","author":"Arnljots","year":"2018","journal-title":"Acta Ophthalmol"},{"key":"10.1016\/j.ejca.2022.07.031_bib4","doi-asserted-by":"crossref","first-page":"4651","DOI":"10.1167\/iovs.03-0538","article-title":"Very long-term prognosis of patients with malignant uveal melanoma","volume":"44","author":"Kujala","year":"2003","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"10.1016\/j.ejca.2022.07.031_bib5","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1002\/path.5384","article-title":"Loss of BAP1 expression is associated with an immunosuppressive microenvironment in uveal melanoma, with implications for immunotherapy development","volume":"250","author":"Figueiredo","year":"2020","journal-title":"J Pathol"},{"key":"10.1016\/j.ejca.2022.07.031_bib6","first-page":"2578","article-title":"Tumor classification based on gene expression profiling shows that uveal melanomas with and without monosomy 3 represent two distinct entities","volume":"63","author":"Tschentscher","year":"2003","journal-title":"Cancer Res"},{"key":"10.1016\/j.ejca.2022.07.031_bib7","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1038\/sj.bjc.6601374","article-title":"Gene expression profiling identifies tumour markers potentially playing a role in uveal melanoma development","volume":"89","author":"Zuidervaart","year":"2003","journal-title":"Br J Cancer"},{"key":"10.1016\/j.ejca.2022.07.031_bib8","doi-asserted-by":"crossref","first-page":"1596","DOI":"10.1016\/j.ophtha.2012.02.017","article-title":"Collaborative Ocular Oncology Group report number 1: prospective validation of a multi-gene prognostic assay in uveal melanoma","volume":"119","author":"Onken","year":"2012","journal-title":"Ophthalmology"},{"key":"10.1016\/j.ejca.2022.07.031_bib9","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","article-title":"Regression models and life-tables","volume":"34","author":"Cox","year":"1972","journal-title":"J R Stat Soc Ser B (Methodol)"},{"key":"10.1016\/j.ejca.2022.07.031_bib10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3214306","article-title":"Machine learning for survival analysis: a survey","volume":"51","author":"Wang","year":"2019","journal-title":"ACM Comput Surv"},{"key":"10.1016\/j.ejca.2022.07.031_bib11","series-title":"Protocol for the examination of specimens from patients with uveal melanoma","author":"Grossniklaus","year":"2017"},{"key":"10.1016\/j.ejca.2022.07.031_bib12","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-017-17204-5","article-title":"QuPath: open source software for digital pathology image analysis","volume":"7","author":"Bankhead","year":"2017","journal-title":"Sci Rep"},{"key":"10.1016\/j.ejca.2022.07.031_bib13","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.0050120","article-title":"Improving melanoma classification by integration genetic and morphologic features","volume":"5","author":"Viros","year":"2008","journal-title":"PLoS Med"},{"key":"10.1016\/j.ejca.2022.07.031_bib14","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.ccell.2017.07.003","article-title":"Integrative analysis identifies four molecular and clinical subsets in uveal melanoma","volume":"32","author":"Robertson","year":"2017","journal-title":"Cancer Cell"},{"key":"10.1016\/j.ejca.2022.07.031_bib15","series-title":"R: a language and environment for statistical computing","year":"2021"},{"key":"10.1016\/j.ejca.2022.07.031_bib16","series-title":"Python 3 reference manual","author":"Van Rossum","year":"2009"},{"key":"10.1016\/j.ejca.2022.07.031_bib17","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","article-title":"Stochastic gradient boosting","volume":"38","author":"Friedman","year":"2002","journal-title":"Comput Stat Data Anal"},{"key":"10.1016\/j.ejca.2022.07.031_bib18","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1093\/biostatistics\/kxu010","article-title":"Random survival forests for competing risks","volume":"15","author":"Ishwaran","year":"2014","journal-title":"Biostatistics"},{"key":"10.1016\/j.ejca.2022.07.031_bib19","first-page":"43","article-title":"Problems with stepwise methods-better alternatives","volume":"1","author":"Huberty","year":"1989","journal-title":"Adv Social Sci Methodology"},{"key":"10.1016\/j.ejca.2022.07.031_bib20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v039.i05","article-title":"Regularization paths for Cox's proportional hazards model via coordinate descent","volume":"39","author":"Simon","year":"2011","journal-title":"J Stat Software"},{"key":"10.1016\/j.ejca.2022.07.031_bib21","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v036.i11","article-title":"Feature selection with the Boruta package","volume":"36","author":"Kursa","year":"2010","journal-title":"J Stat Software"},{"key":"10.1016\/j.ejca.2022.07.031_bib22","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.ejca.2022.07.031_bib23","first-page":"1","article-title":"SCIKIT-survival: a library for time-to-event analysis built on top of SCIKIT-learn","volume":"21","author":"P\u00f6lsterl","year":"2020","journal-title":"J Mach Learn Res"},{"key":"10.1016\/j.ejca.2022.07.031_bib24","doi-asserted-by":"crossref","first-page":"3503","DOI":"10.21873\/anticanres.14338","article-title":"Clinical significance of nucleoli cytomorphology assessment in patients with uveal melanoma","volume":"40","author":"Berus","year":"2020","journal-title":"Anticancer Res"},{"key":"10.1016\/j.ejca.2022.07.031_bib25","doi-asserted-by":"crossref","first-page":"1008","DOI":"10.1167\/iovs.02-0159","article-title":"Monosomy 3 in uveal melanoma: correlation with clinical and histologic predictors of survival","volume":"44","author":"Scholes","year":"2003","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"10.1016\/j.ejca.2022.07.031_bib26","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1038\/modpathol.2014.43","article-title":"Clinical significance of immunohistochemistry for detection of BAP1 mutations in uveal melanoma","volume":"27","author":"Koopmans","year":"2014","journal-title":"Mod Pathol"},{"key":"10.1016\/j.ejca.2022.07.031_bib27","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.1136\/bjophthalmol-2014-305047","article-title":"Prognostic parameters in uveal melanoma and their association with BAP1 expression","volume":"98","author":"van Essen","year":"2014","journal-title":"Br J Ophthalmol"},{"key":"10.1016\/j.ejca.2022.07.031_bib28","first-page":"1291","article-title":"Nucleolar function and size in cancer cells","volume":"152","author":"Derenzini","year":"1998","journal-title":"Am J Pathol"},{"key":"10.1016\/j.ejca.2022.07.031_bib29","first-page":"1414","article-title":"Tumor-infiltrating macrophages (CD68(+) cells) and prognosis in malignant uveal melanoma","volume":"42","author":"M\u00e4kitie","year":"2001","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"10.1016\/j.ejca.2022.07.031_bib30","doi-asserted-by":"crossref","first-page":"5370","DOI":"10.1167\/iovs.11-9280","article-title":"Different subsets of tumor-infiltrating lymphocytes correlate with macrophage influx and monosomy 3 in uveal melanoma","volume":"53","author":"Bronkhorst","year":"2012","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"10.1016\/j.ejca.2022.07.031_bib31","doi-asserted-by":"crossref","first-page":"172","DOI":"10.21037\/atm.2016.05.04","article-title":"Uveal melanoma as a target for immune therapy","volume":"4","author":"Oliva","year":"2016","journal-title":"Ann Transl Med"},{"key":"10.1016\/j.ejca.2022.07.031_bib32","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.3389\/fimmu.2019.01563","article-title":"The remarkable plasticity of macrophages: a chance to fight cancer","volume":"10","author":"Bercovici","year":"2019","journal-title":"Front Immunol"},{"key":"10.1016\/j.ejca.2022.07.031_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.exer.2020.107987","article-title":"Digital morphometry of tumor nuclei correlates to BAP-1 status, monosomy 3, gene expression class and survival in uveal melanoma","volume":"193","author":"Herrspiegel","year":"2020","journal-title":"Exp Eye Res"},{"key":"10.1016\/j.ejca.2022.07.031_bib34","doi-asserted-by":"crossref","DOI":"10.1002\/cac2.12253","article-title":"Machine learning models for outcome prediction of Chinese uveal melanoma patients: a 15-year follow-up study","author":"Chen","year":"2022","journal-title":"Cancer Commun (Lond)"},{"key":"10.1016\/j.ejca.2022.07.031_bib35","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1504\/IJBET.2012.045355","article-title":"Enhancing survival prognostication in patients with choroidal melanoma by integrating pathologic clinical and genetic predictors of metastases","volume":"8","author":"Eleuteri","year":"2012","journal-title":"Int J Biomed Eng Technol"},{"key":"10.1016\/j.ejca.2022.07.031_bib36","doi-asserted-by":"crossref","first-page":"4096","DOI":"10.1167\/iovs.17-22255","article-title":"PRiMeUM: a model for predicting risk of metastasis in uveal melanoma","volume":"58","author":"Vaquero-Garcia","year":"2017","journal-title":"Invest Opthalmol Vis Sci"},{"key":"10.1016\/j.ejca.2022.07.031_bib37","doi-asserted-by":"crossref","first-page":"6116","DOI":"10.1167\/iovs.16-19654","article-title":"External validation of the Liverpool uveal melanoma prognosticator online","volume":"57","author":"DeParis","year":"2016","journal-title":"Invest Opthalmol Vis Sci"}],"container-title":["European Journal of Cancer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0959804922004658?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0959804922004658?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T20:38:20Z","timestamp":1760733500000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0959804922004658"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":37,"alternative-id":["S0959804922004658"],"URL":"https:\/\/doi.org\/10.1016\/j.ejca.2022.07.031","relation":{},"ISSN":["0959-8049"],"issn-type":[{"value":"0959-8049","type":"print"}],"subject":[],"published":{"date-parts":[[2022,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma","name":"articletitle","label":"Article Title"},{"value":"European Journal of Cancer","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejca.2022.07.031","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}