Guang-Tan Lin1,2, Yu-Bin Ma3, Qi-Yue Chen1,2, Qing Zhong1,2, Chao-Hui Zheng1,2, Ping Li1,2, Jian-Wei Xie1,2, Jia-Bin Wang1,2, Jian-Xian Lin1,2, Chang-Ming Huang4,5. 1. Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China. 2. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350001, China. 3. Department of Gastrointestinal Surgery, Qinghai University Affiliated Hospital, Xining, 810000, China. 4. Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China. hcmlr2002@163.com. 5. Key Laboratory of Ministry of Education of Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350001, China. hcmlr2002@163.com.
Abstract
BACKGROUND: The systemic inflammatory response caused by host-tumor interactions is currently recognized as a hallmark feature of cancer. No study has confirmed which systemic inflammatory factors can accurately predict the progression and long-term prognosis of gastric cancer (GC). METHODS: Through the analysis of receiver operating characteristic curve (ROC), in the discovery cohort, a variety of indicators composed of usual inflammatory factors were compared. Fibrinogen-albumin ratio (FAR), which can accurately predict the long-term survival of GC patients was selected and was further verified in the test cohort and the external validation cohort. RESULTS: The ROC curve analysis showed that the area under curve (AUC) value of FAR on the overall survival (OS) of GC patients was higher than that of other combined markers (P < 0.01). Patients in the high FAR group showed more advanced pathological stages, larger tumor diameters, and more poorly differentiated pathological type than those in the low FAR group (P < 0.05). Logistic regression analysis elucidated that, FAR was an independent risk factor for LN metastasis and tumor invasion of GC. High FAR was an independent risk factor for poor prognosis of GC patients. The relationship between FAR and pathological stage of GC and long-term prognosis of patients was verified in the test cohort and the external validation cohort with the same FAR cutoff value. The results are consistent with those of the discovery cohort. CONCLUSIONS: As a new developed inflammation-related marker, FAR can independently and effectively predict the tumor burden and long-term prognosis of patients with advanced GC.
BACKGROUND: The systemic inflammatory response caused by host-tumor interactions is currently recognized as a hallmark feature of cancer. No study has confirmed which systemic inflammatory factors can accurately predict the progression and long-term prognosis of gastric cancer (GC). METHODS: Through the analysis of receiver operating characteristic curve (ROC), in the discovery cohort, a variety of indicators composed of usual inflammatory factors were compared. Fibrinogen-albumin ratio (FAR), which can accurately predict the long-term survival of GC patients was selected and was further verified in the test cohort and the external validation cohort. RESULTS: The ROC curve analysis showed that the area under curve (AUC) value of FAR on the overall survival (OS) of GC patients was higher than that of other combined markers (P < 0.01). Patients in the high FAR group showed more advanced pathological stages, larger tumor diameters, and more poorly differentiated pathological type than those in the low FAR group (P < 0.05). Logistic regression analysis elucidated that, FAR was an independent risk factor for LN metastasis and tumor invasion of GC. High FAR was an independent risk factor for poor prognosis of GC patients. The relationship between FAR and pathological stage of GC and long-term prognosis of patients was verified in the test cohort and the external validation cohort with the same FAR cutoff value. The results are consistent with those of the discovery cohort. CONCLUSIONS: As a new developed inflammation-related marker, FAR can independently and effectively predict the tumor burden and long-term prognosis of patients with advanced GC.
Authors: Július Palaj; Štefan Kečkéš; Vítězslav Marek; Daniel Dyttert; Iveta Waczulíková; Štefan Durdík Journal: Anticancer Res Date: 2018-02 Impact factor: 2.480