Sensitivity value of hematological markers in patients receiving chemoradiotherapy for esophageal squamous cell carcinoma

Autor: Shan Zhu, Baosheng Li, Zhong-Tang Wang, Chuanwang Miao, Li Peng
Rok vydání: 2016
Předmět:
Zdroj: OncoTargets and therapy
ISSN: 1178-6930
DOI: 10.2147/ott.s115011
Popis: Background Hematological markers of the systemic inflammatory response (SIR) including the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and the combination of NLR with PLR (CNP) are associated with prognosis of patients with esophageal squamous cell carcinoma (ESCC). However, their value in predicting the sensitivity to chemoradiotherapy in patients with ESCC is unclear. The aim of this study was to investigate whether these markers can be used as sensitivity predictors for chemoradiotherapy in patients with ESCC. Patients and methods A total of 114 patients with newly diagnosed ESCC were retrospectively evaluated. They were treated with curative intent by primary radiotherapy only or concurrent chemoradiotherapy. These patients were grouped for further analysis according to the optimum cutoff values of NLR, PLR, and CNP. A univariate analysis was conducted to compare the ability of each of the hematological markers of SIR and clinicopathological characteristics. Multivariate analysis was performed to identify whether the markers were associated with the sensitivity to chemoradiotherapy. The relationship between clinicopathological characteristics and hematological markers was assessed. Results NLR, CNP, T stage, M stage, and clinical stage were significantly associated with the sensitivity to chemoradiotherapy. In multivariate analysis, CNP and clinical stage were the independent risk factors predicting a poorer sensitivity. Conclusion This study validated novel, easy-to-use hematological markers and found that CNP, an SIR score, is an independent hematological marker of poor sensitivity to chemoradiotherapy in patients with ESCC. This may help guide the planning of follow-up regimens.
Databáze: OpenAIRE