{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:05:18Z","timestamp":1784199918809,"version":"3.55.0"},"reference-count":36,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:00:00Z","timestamp":1781222400000},"content-version":"vor","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Although immune checkpoint inhibitors (ICIs) have revolutionized the treatment of nasopharyngeal carcinoma (NPC), reliable predictive biomarkers need to be further explored. This study aimed to investigate the predictive ability of inflammatory markers for poor prognosis in NPC patients treated with ICIs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this multicenter retrospective study, a total of NPC patients treated with at least two cycles of ICIs from May 2019 to December 2022 at three independent medical centers in China were included. In this study, we collected the multiple hematological parameters from patients prior to treatment to calculate serum inflammatory markers, and we performed the multivariate COX analysis to identify independent prognostic factors for constructing columnar plots. Then the ROC survival curves, calibration curves, and clinical curve analysis were used to assess the predictive performance of the model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 170 patients were included in the training group with a median follow\u2010up of 26\u2009months. Univariate and multivariate Cox regression analyses showed that Hb, Prognostic Nutritional Index (PNI), and the number of metastases were independent prognostic factors for overall survival (OS). A nomogram was constructed based on these three factors to predict the prognosis of NPC patients after ICI treatment. The nomogram achieved a C\u2010index of 0.733 in the training cohort and 0.743 in the validation cohort, indicating good discriminative ability. Time\u2010dependent ROC curves demonstrated favorable predictive accuracy, with area under the curve (AUC) values for 1\u2010, 2\u2010, and 3\u2010year OS of 0.701, 0.756, and 0.760 in the training set, and 0.773, 0.784, and 0.777 in the validation set. The model was further validated using calibration plots and decision curve analysis (DCA), and patients were categorized into high\u2010 and low\u2010risk groups, with the validation cohort also showing consistent survival differentiation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The combination of serum inflammatory markers and clinicopathological factors may serve as a practical prognostic tool to predict NPC patients who may benefit from ICIs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/cam4.72032","type":"journal-article","created":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T06:35:37Z","timestamp":1781332537000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Prognostic Value of Serum Inflammatory Markers in Nasopharyngeal Carcinoma Patients Treated With Immune Checkpoint Inhibitors: A Multicenter Study"],"prefix":"10.1002","volume":"15","author":[{"given":"Yang","family":"Xu","sequence":"first","affiliation":[{"name":"Affiliated Wu\u2010Ming Hospital of Guangxi Medical University  Nanning Guangxi China"},{"name":"Department of Radiation Oncology Guangxi Medical University Cancer Hospital  Nanning Guangxi China"},{"name":"Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University) Ministry of Education\/Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor  Guangxi China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyi","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology The Second Affiliated Hospital of Guangxi Medical University  Nanning 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