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An inflammatory biomarker-based nomogram to predict prognosis of patients with nasopharyngeal carcinoma: an analysis of a prospective study. | LitMetric

AI Article Synopsis

  • Chronic inflammation is linked to tumor progression, and this study investigates how certain inflammatory biomarkers can predict outcomes in nasopharyngeal carcinoma (NPC).
  • A total of 388 nonmetastatic NPC patients were analyzed, with 249 used for developing prognostic factors and 139 for validating the results.
  • The study found that age, T stage, N stage, pretreatment GPS, NLR, and LMR are all independent prognostic factors, leading to the creation of a nomogram that can effectively predict disease-specific survival (DSS) in NPC patients.

Article Abstract

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, <0.001, 0.004, 0.018, and 0.004, respectively). A nomogram was established by involving all the factors above. Its C-index for predicting the DSS of the validation set was 0.734 (standard error 0.056). Pretreatment GPS, NLR, and LMR were independent prognostic factors of NPC. The nomogram based on them could be used to predict the DSS of NPC patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5269708PMC
http://dx.doi.org/10.1002/cam4.947DOI Listing

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