A Novel Scoring System Based on Fibrinogen and the Neutrophil-Lymphocyte Ratio as a Predictor of Chemotherapy Response and Prognosis in Patients with Advanced Gastric Cancer

Takaaki Arigami, Yoshikazu Uenosono, Sumiya Ishigami, Keishi Okubo, Takashi Kijima, Shigehiro Yanagita, Hiroshi Okumura, Yasuto Uchikado, Yuko Kijima, Akihiro Nakajo, Hiroshi Kurahara, Yoshiaki Kita, Shinichiro Mori, Kosei Maemura, Shoji Natsugoe

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

Objective: We assessed the clinical applicability of the F-NLR score, which is based on fibrinogen (F) and the neutrophil-lymphocyte ratio (NLR), and the Glasgow Prognostic Score (GPS) to predict the therapeutic effects of chemotherapy or chemoradiotherapy on advanced gastric cancer and the prognoses of patients. Methods: Sixty-eight patients with advanced gastric cancer treated with first-line chemotherapy or chemoradiotherapy were classified into two groups based on tumor response. Furthermore, we categorized patients according to cutoff F-NLR scores of 2 [hyperfibrinogenemia (>400 mg/dl) and high NLR (>3.0)], 1 [one of these hematological abnormalities], and 0 [neither hyperfibrinogenemia nor high NLR]. Results: A total of 27 patients had progressive disease (PD) and 41 did not. The F-NLR scores were significantly higher in the PD than in the non-PD group (p = 0.003). Survival was significantly shorter for patients with high F-NLR scores and GPS (p = 0.0071 and p = 0.0065, respectively). Multivariate analysis selected the F-NLR score as an independent prognostic factor (p = 0.017). Conclusion: A novel grading system based on F-NLR scores, as well as the GPS, appears to have value as a clinical predictor of the therapeutic response of advanced gastric cancer to chemotherapy or chemoradiotherapy and the prognoses of patients.

Original languageEnglish
Pages (from-to)186-192
Number of pages7
JournalOncology (Switzerland)
Volume90
Issue number4
DOIs
Publication statusPublished - 01-04-2016
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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