An inflammatory biomarker-based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study
| Autor: | Song Ran Liu, Xiaohui Wang, Shu Zhou, Chen Qu, Hui Chang, Si Lang Zhou, Wen Wen Zhang, Jin Gao, Xin Yang, Yun Fei Xia, Chen Chen, Bing Qing Xu, Ya Lan Tao, Xiaohui Li |
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| Rok vydání: | 2016 |
| Předmět: |
Male
0301 basic medicine Oncology Cancer Research medicine.medical_specialty Multivariate analysis Neutrophils Monocytes nomogram 03 medical and health sciences Disease‐specific survival 0302 clinical medicine Internal medicine Humans Medicine Radiology Nuclear Medicine and imaging Lymphocyte Count Prospective Studies Prospective cohort study Neoplasm Staging Original Research inflammatory biomarkers Univariate analysis Nasopharyngeal Carcinoma Platelet Count business.industry Carcinoma Nasopharyngeal Neoplasms prediction Nomogram Prognosis medicine.disease Blood Cell Count Surgery Nomograms 030104 developmental biology Standard error Nasopharyngeal carcinoma Tumor progression 030220 oncology & carcinogenesis T-stage Female Neoplasm Grading business Cancer Prevention |
| Zdroj: | Cancer Medicine |
| ISSN: | 2045-7634 |
| DOI: | 10.1002/cam4.947 |
| Popis: | Chronic inflammation plays an important role in tumor progression. The aim of this analysis was to evaluate whether inflammatory biomarkers such as the Glasgow prognostic score (GPS), the neutrophil‐lymphocyte ratio (NLR), the platelet‐lymphocyte ratio (PLR), and the lymphocyte‐monocyte ratio (LMR) could predict the prognosis of nasopharyngeal carcinoma (NPC). In this analysis, pretreatment GPS, NLR, PLR, LMR of 388 patients who were diagnosed as nonmetastatic NPC and recruited prospectively in the 863 Program No. 2006AA02Z4B4 were assessed. Of those, the 249 cases enrolled between December 27th 2006 and July 31st 2011 were defined as the development set. The rest 139 cases enrolled between August 1st 2011 and July 31st 2013 were defined as the validation set. The variables above were analyzed in the development set, together with age, gender, Karnofsky performance score, T stage, and N stage, with respect to their impact on the disease‐specific survival (DSS) through a univariate analysis. The candidate prognostic factors then underwent a multivariate analysis. A nomogram was established to predict the DSS, by involving the independent prognostic factors. Its predction capacity was evaluated through calculating Harrell's concordance index (C‐index) in the validation set. After multivariate analysis for the development set, age (≤50 vs. >50 years old), T stage (T1–2 vs. T3–4), N stage (N0–1 vs. N2–3) and pretreatment GPS (0 vs. 1–2), NLR (≤2.5 vs. >2.5), LMR (≤2.35 vs. >2.35) were independent prognostic factors of DSS (P values were 0.002, 0.008 |
| Databáze: | OpenAIRE |
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