Prognostic value of pretreatment inflammatory biomarkers in primary small cell carcinoma of the esophagus

Thoracic Cancer

Yanan Sun¹  Xiaoli Zheng¹  Hong Ge¹  Chengcheng Fan¹  Hao Wang¹  Xue Li¹  Nan Wang¹  Hui Luo¹  Ke Ye¹ 

[1] Department of Radiation Oncology The Affiliated Cancer Hospital of Zhengzhou University Zhengzhou China;

关键词: Inflammatory biomarker;    neutrophil‐to‐lymphocyte ratio;    platelet‐to‐lymphocyte ratio;    primary small‐cell carcinoma of the esophagus;    prognosis;    total lymphocyte counts;   

DOI  :  10.1111/1759-7714.13164

来源: DOAJ

【 摘 要 】

Background Growing evidence indicates that several inflammatory biomarkers may predict survival in patients with malignant tumors. The aim of this study was to evaluate the prognostic value of pretreatment biomarkers in patients with primary small‐cell carcinoma of the esophagus (PSCCE). Methods A total of 73 PSCCE patients enrolled between January 2009 and December 2017 at the Affiliated Cancer Hospital of Zhengzhou University. The total lymphocyte counts (TLC), neutrophil‐to‐lymphocyte ratio (NLR) and platelet‐to‐lymphocyte ratio (PLR) prior to anticancer therapy were collected as inflammation biomarkers. The cutoff value was determined by Receiver operating characteristic (ROC). The Kaplan‐Meier method was utilized to analyze overall survival (OS). Cox proportional hazards regression was used to identify univariate and multivariate prognostic factors. Results Univariate analysis showed that high NLR group (hazard ratio [HR] = 1.685; 95% CI: 1.001–2.838; P = 0.047) and high PLR group (hazard ratio [HR] = 1.716; 95% CI: 1.039–2.834; P = 0.033) were associated with poor OS, and TLC was not correlated with OS. On multivariate analysis, high PLR (hazard ratio [HR] = 1.751; 95% CI: 1.042–2.945; P = 0.035) was an independent prognostic factor of unfavorable OS. Conclusions Pretreatment PLR and NLR are correlated with OS. These biomarkers are easily accessible, cost effective, and can serve as a marker to identify high‐risk patients for further designing personalized treatment and predicting treatment outcomes.

【 授权许可】

Unknown