Combined neutrophil-platelet score and hemoglobin level predict survival in esophageal squamous cell carcinoma patients treated with chemoradiotherapy

// Chuanwang Miao 1, 2, * , Shan Zhu 3, 4, * , Hong Pan 5 , Xiaolan Cao 1, 2 , Shuanghu Yuan 2 and Xudong Hu 2 1 School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong Province, P.R. China 2 Department of Radiotherapy, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong Province, P.R. China 3 Department of Head and Neck Radiotherapy, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong Province, P.R. China 4 Department of Head and Neck Radiotherapy, Shandong Provincial Western Hospital, Jinan, Shandong Province, P.R. China 5 Central Sterile Supply Department, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong Province, P.R. China * These authors have contributed equally to this work Correspondence to: Xudong Hu, email: drhuxudong@163.com Keywords: chemoradiotherapy (CRT), esophageal squamous cell carcinoma (ESCC), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), hemoglobin (Hb) Received: June 21, 2017      Accepted: August 17, 2017      Published: September 27, 2017 ABSTRACT Systemic inflammation and hematological markers have prognostic value in patients with esophageal squamous cell carcinoma (ESCC). The objective of this study was to evaluate the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), combined neutrophil-platelet (CNP) score, and hemoglobin (Hb) to inform treatment decisions and predict outcomes in patients with locally advanced ESCC treated with chemoradiotherapy (CRT). A total of 168 patients with locally advanced ESCC were retrospectively evaluated. Patients were stratified by marker value using a receiver operating characteristic curve analysis to determine the cutoff point. Logistic regression was used to identify markers associated with sensitivity to treatment. Overall survival (OS) was calculated by the Kaplan–Meier method. Multivariate Cox logistic regression modeling was used to assess the influences of OS. Smoking history, tumour site, clinical stage, NLR, PLR, CNP, and Hb ( p ≤ 0.05) were associated with the sensitivity to therapy. In multivariate analysis, a high CNP score was independently associated with poor treatment sensitivity (OR = 2.066, p = 0.021). Univariate analysis revealed that PLR, CNP, and Hb levels were associated with OS, and Cox multivariate analysis found that CNP (HR = 1.47, p = 0.027) and Hb level (HR = 0.44, p = 0.007) were independent predictors of OS. In conclusion, CNP and Hb are inexpensive and universally available prognostic markers in patients with locally advanced ESCC patients. CNP score is a systemic inflammatory marker that predicted sensitivity to CRT.