Combining the Fibrinogen-to-Pre-Albumin Ratio and Prognostic Nutritional Index (FPR-PNI) Predicts the Survival in Elderly Gastric Cancer Patients After Gastrectomy

Onco Targets Ther. 2020 Sep 7:13:8845-8859. doi: 10.2147/OTT.S264199. eCollection 2020.

Abstract

Background: Inflammation and nutrition are important causes contributing to the progression and poor survival of gastric cancer (GC). The objective of this study is to investigate the prognostic significance of the preoperative fibrinogen-to-pre-albumin ratio (FPR) and the prognostic nutritional index (PNI) in GC patients who have undergone gastrectomy.

Methods: A total of 274 patients with resected pathological GC from January 2007 to December 2013 were enrolled in this retrospective study. Survival analysis was performed using Kaplan-Meier and log rank tests. Univariate and multivariate analyses were established to identify independent prognostic factors of 5-year survival. A predictive nomogram was used to predict prognosis of overall survival (OS), and its accuracy was determined by Harrell's concordance index (C index).

Results: A high preoperative FPR-PNI score was significantly correlated with age, bigger tumor size, more lymphatic metastases and advanced TNM stage. Univariate analysis revealed that the GC patients with high FPR, low PNI and high FPR-PNI scores had shorter survival time. Multivariate analysis showed that FPR-PNI was an independent prognostic factor for OS in GC patients, especially in elderly patients. In the sub-analysis by age, the FPR-PNI score could significantly increase the accuracy of prognosis compared with the FPR and PNI alone in elderly GC patients.

Conclusion: The preoperative FPR-PNI score is an effective independent prognostic index for GC patients after surgery, especially in elderly patients.

Keywords: FPR-PNI; fibrinogen-to-pre-albumin ratio; gastric cancer; prognosis; prognostic nutritional index.

Grants and funding

The work was supported by grants from the Project for Medical Key Youth Talent of Nantong (Youth 005), Nantong Science and Technology Foundation grant (JC2018031, MS22019008), Natural Science Foundation of Jiangsu Province (BK20191208) and the Scientific Research Project of “333 Project” in Jiangsu Province (BRA2019030).