The Inflammation-Based Glasgow Prognostic Score Predicts Survival in Patients With Cervical Cancer

Objectives: The Glasgow Prognostic Score (GPS) is known to reflect the degree of tumor-associated cachexia and inflammation and is associated with survival in various malignancies. We investigated the value of the GPS in patients with cervical cancer. Methods: We included 244 consecutive patients with cervical cancer in our study. The pretherapeutic GPS was calculated as follows: patients with elevated C-reactive protein serum levels (>10 mg/L) and hypoalbuminemia (<35 g/L) were allocated a score of 2, and patients with 1 or no abnormal value were allocated a score of 1 or 0, respectively. The association between GPS and survival was evaluated by univariate log-rank tests and multivariate Cox regression models. The GPS was correlated with clinicopathologic parameters as shown by performing χ2 tests. Results: In univariate analyses, GPS (P < 0.001, P < 0.001), International Federation of Gynecology and Obstetrics (FIGO) stage (P < 0.001, P < 0.001), and lymph node involvement (P < 0.001, P < 0.001), but not patients' age (P = 0.2, P = 0.07), histological grade (P = 0.08, P = 0.1), and histological type (P = 0.8, P = 0.9), were associated with disease-free and overall survival, respectively. In a multivariate analysis GPS (P = 0.03, P = 0.04), FIGO stage (P = 0.006, P = 0.006), and lymph node involvement (P = 0.003, P = 0.002), but not patients' age (P = 0.5, P = 0.5), histological grade (P = 0.7, P = 0.6), and histological type (P = 0.4, P = 0.6) were associated with disease-free and overall survival, respectively. The GPS was associated with FIGO stage (P < 0.001) and histological grade (P = 0.02). Conclusions: The GPS can be used as an inflammation-based predictor for survival in patients with cervical cancer.