{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:41:33Z","timestamp":1753875693126,"version":"3.41.2"},"reference-count":41,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100009592","name":"Beijing Municipal Science and Technology Commission","doi-asserted-by":"publisher","award":["Z201100008320006"],"award-info":[{"award-number":["Z201100008320006"]}],"id":[{"id":"10.13039\/501100009592","id-type":"DOI","asserted-by":"publisher"}]},{"name":"PKU-Baidu Fund","award":["2019BD012"],"award-info":[{"award-number":["2019BD012"]}]},{"DOI":"10.13039\/501100005088","name":"Beijing Municipal Bureau of Health","doi-asserted-by":"publisher","award":["2019-1"],"award-info":[{"award-number":["2019-1"]}],"id":[{"id":"10.13039\/501100005088","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,20]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Adequate reporting is essential for evaluating the performance and clinical utility of a prognostic prediction model. Previous studies indicated a prevalence of incomplete or suboptimal reporting in translational and clinical studies involving development of multivariable prediction models for prognosis, which limited the potential applications of these models. While reporting templates introduced by the established guidelines provide an invaluable framework for reporting prognostic studies uniformly, there is a widespread lack of qualified adherence, which may be due to miscellaneous challenges in manual reporting of extensive model details, especially in the era of precision medicine. Here, we present ReProMSig (Reproducible Prognosis Molecular Signature), a web-based integrative platform providing the analysis framework for development, validation and application of a multivariable prediction model for cancer prognosis, using clinicopathological features and\/or molecular profiles. ReProMSig platform supports transparent reporting by presenting both methodology details and analysis results in a strictly structured reporting file, following the guideline checklist with minimal manual input needed. The generated reporting file can be published together with a developed prediction model, to allow thorough interrogation and external validation, as well as online application for prospective cases. We demonstrated the utilities of ReProMSig by development of prognostic molecular signatures for stage II and III colorectal cancer respectively, in comparison with a published signature reproduced by ReProMSig. Together, ReProMSig provides an integrated framework for development, evaluation and application of prognostic\/predictive biomarkers for cancer in a more transparent and reproducible way, which would be a useful resource for health care professionals and biomedical researchers.<\/jats:p>","DOI":"10.1093\/bib\/bbad267","type":"journal-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T08:58:28Z","timestamp":1690966708000},"source":"Crossref","is-referenced-by-count":2,"title":["ReProMSig: an integrative platform for development and application of reproducible multivariable models for cancer prognosis supporting guideline-based transparent reporting"],"prefix":"10.1093","volume":"24","author":[{"given":"Tingting","family":"Zhao","sequence":"first","affiliation":[{"name":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education\/Beijing) , Center for Cancer Bioinformatics, , Beijing 100142 , China"},{"name":"Peking University Cancer Hospital & Institute , Center for Cancer Bioinformatics, , Beijing 100142 , China"}]},{"given":"Lihua","family":"Cao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education\/Beijing) , Center for Cancer Bioinformatics, , Beijing 100142 , China"},{"name":"Peking University Cancer Hospital & Institute , Center for Cancer Bioinformatics, , Beijing 100142 , China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8648-8681","authenticated-orcid":false,"given":"Jiafu","family":"Ji","sequence":"additional","affiliation":[{"name":"Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute , Beijing 100142 , China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4821-3078","authenticated-orcid":false,"given":"David K","family":"Chang","sequence":"additional","affiliation":[{"name":"Wolfson Wohl Cancer Research Centre , Institute of Cancer Sciences, , Scotland , United Kingdom"},{"name":"University of Glasgow , Institute of Cancer Sciences, , Scotland , United Kingdom"},{"name":"West of Scotland Pancreatic Unit, Glasgow Royal Infirmary , Glasgow , United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8876-128X","authenticated-orcid":false,"given":"Jianmin","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education\/Beijing) , Center for Cancer Bioinformatics, , Beijing 100142 , China"},{"name":"Peking University Cancer Hospital & Institute , Center for Cancer Bioinformatics, , Beijing 100142 , China"},{"name":"Peking University International Cancer Institute, Peking University , Beijing 100191 , China"}]}],"member":"286","published-online":{"date-parts":[[2023,8,1]]},"reference":[{"key":"2023092216471022400_ref1","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.semcancer.2021.08.002","article-title":"Cancer biomarkers in the era of precision oncology: addressing the needs of patients and health 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