{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T21:27:37Z","timestamp":1760909257346,"version":"3.37.3"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2021,7,14]],"date-time":"2021-07-14T00:00:00Z","timestamp":1626220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20181371"],"award-info":[{"award-number":["BK20181371"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of the Jiangsu Higher Education Institutions of China","award":["17KJB330003"],"award-info":[{"award-number":["17KJB330003"]}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Colorectal cancer is a heterogeneous disease with diverse prognoses between left-sided and right-sided patients; therefore, it is necessary to precisely evaluate the survival probability of side-specific colorectal cancer patients. Here, we collected multi-omics data from The Cancer Genome Atlas program, including gene expression, DNA methylation and microRNA expression. Specificity measure and robust likelihood-based survival analysis were used to identify 6 left-sided and 28 right-sided prognostic biomarkers. Compared to the performance of clinical prognostic models, the addition of these biomarkers could significantly improve the discriminatory ability and calibration in predicting side-specific 5-year survival for colorectal cancer. Additional dataset derived from Gene Expression Omnibus was used to validate the prognostic value of side-specific genes. Finally, we constructed colorectal cancer side-specific molecular database (CoSMeD), a user-friendly interface for estimating side-specific colorectal cancer 5-year survival probability, which can lay the basis for personalized management of left-sided and right-sided colorectal cancer patients.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>CoSMeD is freely available at https:\/\/mulongdu.shinyapps.io\/cosmed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab523","type":"journal-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T11:09:14Z","timestamp":1626088154000},"page":"278-281","source":"Crossref","is-referenced-by-count":5,"title":["CoSMeD: a user-friendly web server to estimate 5-year survival probability of left-sided and right-sided colorectal cancer patients using molecular data"],"prefix":"10.1093","volume":"38","author":[{"given":"Junyi","family":"Xin","sequence":"first","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Epidemiology, Harvard T.H. Chan School of Public Health , Boston, MA 02115, USA"}]},{"given":"Yanling","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]},{"given":"Shuai","family":"Ben","sequence":"additional","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]},{"given":"Shuwei","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]},{"given":"Haiyan","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4996-958X","authenticated-orcid":false,"given":"Meilin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]},{"given":"Molin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Harvard T.H. Chan School of Public Health , Boston, MA 02115, USA"},{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, MA 02115, USA"},{"name":"Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital and Harvard Medical School , Boston, MA 02115, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4780-4642","authenticated-orcid":false,"given":"Mingyang","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Harvard T.H. Chan School of Public Health , Boston, MA 02115, USA"},{"name":"Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School , Boston, MA 02114, USA"},{"name":"Department of Nutrition, Harvard T.H. Chan School of Public Health , Boston, MA 02115, USA"},{"name":"Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School , Boston, MA 02114, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2733-6490","authenticated-orcid":false,"given":"Mulong","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6730-9251","authenticated-orcid":false,"given":"Zhengdong","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University , 211166 Nanjing, China"},{"name":"Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University , 211166 Nanjing, China"}]}],"member":"286","published-online":{"date-parts":[[2021,7,14]]},"reference":[{"key":"2023020108390737500_btab523-B1","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1136\/gutjnl-2015-310912","article-title":"Global patterns and trends in colorectal cancer incidence and mortality","volume":"66","author":"Arnold","year":"2017","journal-title":"GUT"},{"key":"2023020108390737500_btab523-B2","doi-asserted-by":"crossref","first-page":"394","DOI":"10.3322\/caac.21492","article-title":"Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"68","author":"Bray","year":"2018","journal-title":"CA Cancer J. 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