Distribution pattern of tumor associated macrophages predicts the prognosis of gastric cancer

Abstract

// Jiu-Yang Liu 1 , Chun-wei Peng 1 , Gui-Fang Yang 2 , Wen-Qing Hu 3 , Xiao-Jun Yang 1 , Chao-Qun Huang 1 , Bin Xiong 1 and Yan Li 1, 4 1 Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Hubei Key Laboratory of Tumor Biological Behaviors & Hubei Cancer Clinical Study Center, Wuhan, China 2 Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China 3 Department of Surgery, The First Affiliated Hospital of Shanxi Medical University, Taiyuan, 030001, PR China 4 Department of Peritoneal Cancer Surgery, Cancer Center of Beijing Shijitan Hospital Affiliated to the Capital Medical University, Beijing, China Correspondence to: Chun-wei Peng, email: whupengcw@whu.edu.cn Yan Li, email: liyansd2@163.com Keywords: gastric cancer, tumor microenvironment, macrophages, prognosis Received: June 15, 2017      Accepted: September 08, 2017      Published: October 06, 2017 ABSTRACT Purpose: As mayor biomarkers in tumor microenvironment (TME), tumor associated macrophages (TAMs) of gastric cancer (GC) still needs further studies in terms of the number and distribution pattern. Methods: Herein, tissue microarrays (TMA) incorporating 494 GC surgical samples in duplicate were stained for TAMs infiltration analysis. TAMs number was counted according to the locations, including infiltrating macrophages in cancer nest (MC), in invasive front (MF) and in stroma (MS). Correlations between TAMs number, distribution pattern and clinic-pathological features and survival analyses were performed. Results: Infiltrating macrophages number in GC tissues was much higher than that in peritumoral tissues. TAMs number was not significantly correlated with the overall survival (OS). TAMs distribution pattern could be categorized into MC or MF/MS dominant pattern, and correlated with histological grade ( P =0.001). The median OS of MF/MS dominant pattern (22.1, 95%CI: 23.5-28.9) was significantly shorter than that of MC dominant pattern (25.6, 95%CI: 28.5-35.6) ( P =0.002). By receiver operating characteristic curve (ROC) analysis, the predictive value of TAMs distribution pattern was superior to histological grade and pM stage, but inferior to pN and TNM stage. Conclusions: TAMs distribution pattern could be an independent prognostic factor for the OS of GC patients, and patients with MF/MS dominant pattern had worse outcomes.