A nomogram combining plasma fibrinogen and systemic immune‑inflammation index predicts survival in patients with resectable gastric cancer

• Published in: Scientific reports Vol. 11; no. 1; p. 10301
• Main Authors: Wang, Pan-Xing, Wang, Hai-Jiang, Liu, Jia-Huang, Qiu, Guang-Lin, Lu, Jing, Fan, Lin, Liao, Xin-Hua, Che, Xiang-Ming
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 13.05.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/67/1504; 692/53/2422; Fibrinogen; Gastric cancer; Humanities and Social Sciences; Inflammation; Medical prognosis; multidisciplinary; Multivariate analysis; Nomograms; Science; Science (multidisciplinary); Survival
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-89648-9

Hyperfibrinogenemia and cancer-associated systemic inflammatory response are strongly associated with cancer progression and prognosis. We aimed to develop a novel prognostic score (F-SII score) on the basis of preoperative fibrinogen (F) and systemic immunoinflammatory index (SII), and evaluate its predictive value in patients with resectable gastric cancer (GC). Patients diagnosed with GC between January 2012 and December 2016 were reviewed. The F-SII score was 2 for patients with a high fibrinogen level (≥ 3.37 g/L) and a high SII (≥ 372.8), whereas that for patients with one or neither was 1 or 0, respectively. A high F-SII score was significantly associated with older patient age, a high ASA score, large tumor size, large proportion of perineural invasion, and late TNM stage. Multivariate analysis indicated that the F-SII score, histological grade, and TNM stage were independent factors for overall survival (OS). The Harrell's concordance index (C-index) of a nomogram based on the F-SII score and several clinicopathological manifestations was 0.72, which showed a better predictive ability for OS than the TNM stage alone (0.68). In conclusion, preoperative F-SII may serve as a useful predictive factor for OS and refine outcome prediction for patients with resectable GC combined with traditional clinicopathological analysis.