{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T08:56:33Z","timestamp":1790326593979,"version":"4.1.0"},"reference-count":33,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,4,16]],"date-time":"2018-04-16T00:00:00Z","timestamp":1523836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Molecular Carcinogenesis"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:sec><jats:label\/><jats:p>Circulating metabolomics profiling holds prognostic potential. However, such efforts have not been extensively carried out in glioblastoma. In this study, two\u2010step (training and testing) metabolomics profiling was conducted from the plasma samples of 159 glioblastoma patients. Metabolomics profiling was tested for correlation with 2\u2010year overall and disease\u2010free survivals. Arginine, methionine, and kynurenate levels were significantly associated with 2\u2010year overall survival in both the training and testing sets. In the combined sets, elevated levels of arginine and methionine were associated with a 34% and 37% increased probability whereas kynurenate was associated with a 55% decreased probability of 2\u2010year overall survival. These three metabolites were also significantly associated with 2\u2010year disease\u2010free survival. Risk scores were generated using the linear combination of levels of these significant metabolites. Glioblastoma patients with a high\u2010risk score exhibited a 2.41\u2010fold decreased probability of 2\u2010year overall survival (hazard ratio (HR)\u2009=\u20092.41; 95% Confidence Interval (CI)\u2009=\u20091.20\u20104.93) and a 3.17\u2010fold decreased probability of 2\u2010year disease free survival (HR\u2009=\u20093.17, 95%CI\u2009=\u20091.42\u20107.54) relative to those with a low\u2010risk score. In conclusion, we identified a unique plasma metabolite profile that is predictive of glioblastoma prognosis.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mc.22815","type":"journal-article","created":{"date-parts":[[2018,3,31]],"date-time":"2018-03-31T10:31:16Z","timestamp":1522492276000},"page":"1078-1084","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Identification of metabolites in plasma for predicting survival in glioblastoma"],"prefix":"10.1002","volume":"57","author":[{"given":"Jie","family":"Shen","sequence":"first","affiliation":[{"name":"Department of Epidemiology The University of Texas MD Anderson Cancer Center Houston Texas"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renduo","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Epidemiology The University of Texas MD Anderson Cancer Center Houston 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