Oncotarget, Vol. 7, No. 25

www.impactjournals.com/oncotarget/

Research Paper

Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy

Jianjun Liu1,2,*, Qirong Geng1,3,*, Shangxiang Chen1,2, Xuechao Liu1,2, Pengfei Kong1,2, Zhiwei Zhou1,2, Youqing Zhan1,2, Dazhi Xu1,2 1

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China

2

Department of Gastric and Pancreatic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China

3

Department of Hematology Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China

*

These authors have contributed equally to this work

Correspondence to: Dazhi Xu, e-mail: [email protected] Keywords: resectable gastric cancer, nomogram, survival analysis, systemic inflammatory response Received: October 12, 2015     Accepted: March 28, 2016     Published: April 18, 2016

ABSTRACT This study aimed to construct a nomogram to predict survival of patients with resectable gastric cancer (RGC) based on both clinicopathology characteristics and systemic inflammatory response markers (SIRMs). Of 3,452 RGC patients after D2 gastrectomy at the Sun Yat-sen University Cancer Center, 1058 patients who met the inclusion criterion were analyzed. The patients operated on from January 1, 2005 to December 31, 2009 were assigned to the training set (817 patients) to establish a nomogram, and the rest (241 patients) were selected as validation set. Based on the training set, seven independent risk factors were selected in the nomogram. The calibration curves for probability of 1-year, 3-year and 5-year overall survival (OS) showed satisfactory accordance between nomogram prediction and actual observation. When the metastatic lymph node stage (mLNS) is replaced by metastasis lymph node ratio (mLNR) in validation set, the C-index in predicting OS rise from 0.77 to 0.79, higher than that of 7th American Joint Committee on Cancer 7th (AJCC) staging system (0.70; p

Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy.

This study aimed to construct a nomogram to predict survival of patients with resectable gastric cancer (RGC) based on both clinicopathology character...
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