Journal of Inflammation Research (Oct 2023)

Clinical Significance of Fibrinogen and Platelet to Pre-Albumin Ratio in Predicting the Prognosis of Advanced Gastric Cancer

  • Tian H,
  • Liu Z,
  • Zhang Z,
  • Zhang L,
  • Zong Z,
  • Liu J,
  • Ying H,
  • Li H

Journal volume & issue
Vol. Volume 16
pp. 4373 – 4388

Abstract

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Huakai Tian,1,* Zitao Liu,2,* Zuo Zhang,3,* Lipeng Zhang,2,* Zhen Zong,2 Jiang Liu,2 Houqun Ying,4 Hui Li5 1Department of General Surgery, First Affiliated Hospital of Nanchang University, Nanchang, 330006, People’s Republic of China; 2Department of Gastrointestinal Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, People’s Republic of China; 3Department of Obstetrics and Gynecology, Second Affiliated Hospital of Nanchang University, Nanchang, 330006, People’s Republic of China; 4Department of Nuclear Medicine, Jiangxi Province Key Laboratory of Laboratory Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, People’s Republic of China; 5Department of Rheumatology and Immunology, First Affiliated Hospital of Nanchang University, Nanchang, 330006, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hui Li, Department of Rheumatology and Immunology, First Affiliated Hospital of Nanchang University, 17 Yongwai Main Street, Nanchang, 330006, People’s Republic of China, Tel +86-15079108591, Email [email protected] Houqun Ying, Department of Nuclear Medicine, Jiangxi province Key Laboratory of Laboratory Medicine, the Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, People’s Republic of China, Tel/Fax +86 791-86300410, Email [email protected]: The aim of this study was to investigate the clinical significance of Fibrinogen and Platelet to Pre-albumin Ratio(FPAR) in predicting the prognosis of patients with advanced gastric cancer(AGC) and to construct a predictive model.Methods: We collected clinical data from 489 postoperative patients with AGC. FPAR was divided into high and low groups according to the receiver operating characteristic (ROC) curve. The value of FPAR in predicting the prognosis of progressive gastric cancer was analysed using univariate and multivariable Cox regression analysis and its relationship with clinicopathological features. Finally, the Overall Survival(OS) and recurrence-free survival(RFS) prediction models were constructed and validated using FPAR.Results: Univariate and multifactorial cox regression analysis showed that grade (P< 0.001), TNM-stage (P< 0.001), chemotherapy (P< 0.001), and FPAR (OR=3.054,95% CI:2.088– 4.467, P< 0.001) were independent risk factors for OS; grade (P=0.021), N-stage (P=0.024), TNM-stage (P=0.033), and FPAR (OR=2.215,95% CI:1.634– 3.003, P< 0.001) were independent risk factors for RFS. Subgroup analysis showed that the FPAR-low group had higher OS and RFS than the FPAR-high group, regardless of the patient’s TNM stage (p< 0.05). However, OS was instead higher in the the stage III-FPAR-low group than in the the stage II-FPAR-high group (p< 0.05), while RFS was not significantly different. Predictive models incorporating FPAR had better predictive performance than those without FPAR, showing wide range of net benefit and AUC. After correction, the 2-year AUC, 3-year AUC and C-index of the OS model were 0.737, 0.756, and 0.746; the 2-year AUC, 3-year AUC, and C-index of the RFS model were 0.738, 0.758, and 0.711.Conclusion: FPAR levels were associated with prognosis in patients with AGC and could independently predict RFS and OS.Keywords: advanced gastric cancer, FPAR, overall survival, recurrence-free survival, prognosis

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