A novel systemic inflammation response index (SIRI) for predicting the survival of patients with pancreatic cancer after chemotherapy

医学 内科学 胰腺癌 危险系数 叶黄素 化疗 置信区间 肿瘤科 比例危险模型 胃肠病学 癌症 结直肠癌 伊立替康
作者
Qi Qi,Liping Zhuang,Yehua Shen,Yawen Geng,Shulin Yu,Hao Chen,Luming Liu,Zhiqiang Meng,Peng Wang,Zhen Chen
出处
期刊:Cancer [Wiley]
卷期号:122 (14): 2158-2167 被引量:496
标识
DOI:10.1002/cncr.30057
摘要

BACKGROUND Predicting survival is uniquely difficult in patients with pancreatic cancer who receive chemotherapy. The authors developed a systemic inflammation response index (SIRI) based on peripheral neutrophil, monocyte, and lymphocyte counts and evaluated the ability of the SIRI to predict the survival of patients with pancreatic cancer who received chemotherapy. METHODS The SIRI was developed in a training set of 177 patients who had advanced pancreatic cancer and received palliative chemotherapy. The ability of the SIRI to predict a patient's survival after chemotherapy was validated in 2 independent cohorts (n = 397). RESULTS Compared with patients who had an SIRI <1.8, patients in the training cohort who had an SIRI ≥1.8 had a shorter time to progression (TTP) (hazard ratio [HR], 2.348; 95% confidence interval, 1.559‐3.535; P = .003) and shorter overall survival (OS) (HR, 2.789; 95% confidence interval, 1.897‐4.121; P < .001). Comparable TTP and OS findings were observed in 2 independent validation cohorts. Multivariate analysis confirmed that the SIRI was an independent prognostic factor for both TTP and OS. In addition, compared with no change, an increase in the SIRI at week 8 was associated with poor TTP and OS, whereas a decrease in the SIRI was associated with improved outcomes. In addition, high SIRI scores were correlated with higher serum levels of interleukin 10, C‐C motif chemokine ligand 17 (CCL17), CCL18, and CCL22 and with a shortened TTP. CONCLUSIONS The SIRI can be used to predict the survival of patients with pancreatic adenocarcinomas who receive chemotherapy, potentially allowing clinicians to improve treatment outcomes by identifying candidates for aggressive therapy. Cancer 2016;122:2158–67 . © 2016 American Cancer Society .
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