{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T00:33:59Z","timestamp":1760920439361,"version":"build-2065373602"},"reference-count":39,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T00:00:00Z","timestamp":1654905600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["aspenjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Parenter Enteral Nutr"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Overweight or obese cancer patients are more likely to develop a proinflammatory status. The aim of this study was to investigate whether the nutrition\u2010inflammation marker can provide additional prognostic information on top of well\u2010established Eastern Cooperative Oncology Group performance status (ECOG\u2010PS) in overweight or obese patients with cancer.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 1667 overweight or obese cancer patients were enrolled in this study. We assessed the prediction accuracy of 10 nutrition\u2010inflammation markers by time\u2010dependent receiver operating characteristic (ROC) and elucidated their association with overall survival by the Kaplan\u2010Meier method and a Cox model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this analysis, the majority of patients had a good performance status (ECOG\u2010PS score \u22641; 88.3%). Both the area under ROC curves and the C\u2010index of the lymphocyte\u2013C\u2010reactive protein ratio (LCR) demonstrated that LCR was the most significant nutrition\u2010inflammation marker correlated with survival. In patients with good ECOG\u2010PS, a low LCR was significantly associated with poorer prognosisand enhanced the predictive ability of one\u2010year mortality. For specific tumor types, a low LCR was an independent prognostic factor for lung cancer, upper gastrointestinal cancer, and colorectal cancer, and it tended to be a significant predictor for breast cancer. In addition, those patients with a combined low LCR and poorer ECOG\u2010PS (ECOG\u2010PS score &gt;1) showed the worst prognosis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The LCR is more strongly associated with overall survival than other nutrition\u2010inflammation markers, and it is able to further detect patients with worse prognosis on top of ECOG\u2010PS in overweight or obese patients with cancer.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jpen.2407","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T00:38:17Z","timestamp":1653007097000},"page":"109-119","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Nutrition\u2010inflammation marker enhances prognostic value to ECOG performance status in overweight or obese patients with cancer"],"prefix":"10.1002","volume":"47","author":[{"given":"Xi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Gastrointestinal Surgery and Department of Clinical Nutrition Beijing Shijitan Hospital, Capital Medical University  Beijing China"},{"name":"Department of Comprehensive Oncology Cancer Hospital, Chinese Academy of Medical Sciences  Beijing China"},{"name":"Key Laboratory of Cancer FSMP for State Market Regulation  Beijing China"},{"name":"Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Gastrointestinal Surgery and Department of Clinical Nutrition Beijing Shijitan Hospital, Capital Medical University  Beijing China"},{"name":"Key Laboratory of Cancer FSMP for State Market Regulation  Beijing China"},{"name":"Beijing International Science 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