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The RPPA data, gene expression profiles and clinical information of adult ACC patients were obtained from The Cancer Proteome Atlas (TCPA), Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Integrated prognosis\u2010related proteins (IPRPs) model was constructed. Immunohistochemistry was used to validate the prognostic value of the IPRPs model in Fudan University Shanghai Cancer Center (FUSCC) cohort. 76 ACC cases from TCGA and 22 ACC cases from <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE10927\">GSE10927<\/jats:ext-link> in NCBI\u2019s GEO database with full data for clinical information and gene expression were utilized to validate the effectiveness of the IPRPs model. Higher FASN (<jats:italic>P<\/jats:italic>\u00a0=\u00a0.039), FIBRONECTIN (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001), TFRC (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001), TSC1 (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.001) expression indicated significantly worse overall survival for adult ACC patients. Risk assessment suggested significantly a strong predictive capacity of IPRPs model for poor overall survival (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a0.05). IPRPs model showed a little stronger ability for predicting prognosis than Ki\u201067 protein in FUSCC cohort (<jats:italic>P<\/jats:italic>\u00a0=\u00a0.003, HR\u00a0=\u00a03.947; <jats:italic>P<\/jats:italic>\u00a0=\u00a0.005, HR\u00a0=\u00a03.787). In external validation of IPRPs model using gene expression data, IPRPs model showed strong ability for predicting prognosis in TCGA cohort (<jats:italic>P<\/jats:italic>\u00a0=\u00a0.005, HR\u00a0=\u00a03.061) and it exhibited best ability for predicting prognosis in <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.ncbi.nlm.nih.gov\/geo\/query\/acc.cgi?acc=GSE10927\">GSE10927<\/jats:ext-link> cohort (<jats:italic>P<\/jats:italic>\u00a0=\u00a0.0898, HR\u00a0=\u00a02.318). This research constructed IPRPs model for predicting adult ACC patients\u2019 prognosis using proteomic data, gene expression data and real\u2010world data and this prognostic model showed stronger predictive value than other biomarkers (Ki\u201067, Beta\u2010catenin, etc) in multi\u2010cohorts.<\/jats:p>","DOI":"10.1111\/jcmm.16323","type":"journal-article","created":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T17:49:00Z","timestamp":1614188940000},"page":"3898-3911","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Construction of a robust prognostic model for adult adrenocortical carcinoma: Results from bioinformatics and real\u2010world data"],"prefix":"10.1111","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1965-0647","authenticated-orcid":false,"given":"Xi","family":"Tian","sequence":"first","affiliation":[{"name":"Department of Urology Fudan University Shanghai Cancer Center  Shanghai 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