OBJECTIVE: The Glasgow prognostic score (GPS) determined at pretreatment is important in the prediction of prognosis in various cancers. We investigated if the GPS used both at pretreatment and during concurrent chemoradiotherapy (CCRT) could predict the prognosis of patients with cervical cancer. METHODS: We collected GPS and clinicopathological data from the medical records of 91 patients who underwent CCRT for cervical cancer; their GPSs at pretreatment and during CCRT were retrospectively analyzed for correlations with recurrence and survival. Statistical analyses were performed using the Mann-Whitney U test. Disease-free survival (DFS) and overall survival (OS) were analyzed using the Kaplan-Meier method. Cox's proportional hazard regression was used for univariate and multivariate analyses. RESULTS: The median follow-up for all patients who were alive at the time of last follow-up was 38.0 months (range, 1-108 months). The DFS and OS rates of patients with a high GPS during CCRT (GPS 1 + 2; 55 patients; 60.4%) were significantly shorter than those for patients with a low GPS (GPS 0; 36 patients; 39.6%) (DFS, P < 0.001; OS, P < 0.001). Furthermore, multivariate analyses showed that high GPS during CCRT was an independent prognostic factor of survival for OS (P = 0.008). CONCLUSIONS: During CCRT, a high GPS was revealed to be an important predictor of survival for cervical cancer.
OBJECTIVE: The Glasgow prognostic score (GPS) determined at pretreatment is important in the prediction of prognosis in various cancers. We investigated if the GPS used both at pretreatment and during concurrent chemoradiotherapy (CCRT) could predict the prognosis of patients with cervical cancer. METHODS: We collected GPS and clinicopathological data from the medical records of 91 patients who underwent CCRT for cervical cancer; their GPSs at pretreatment and during CCRT were retrospectively analyzed for correlations with recurrence and survival. Statistical analyses were performed using the Mann-Whitney U test. Disease-free survival (DFS) and overall survival (OS) were analyzed using the Kaplan-Meier method. Cox's proportional hazard regression was used for univariate and multivariate analyses. RESULTS: The median follow-up for all patients who were alive at the time of last follow-up was 38.0 months (range, 1-108 months). The DFS and OS rates of patients with a high GPS during CCRT (GPS 1 + 2; 55 patients; 60.4%) were significantly shorter than those for patients with a low GPS (GPS 0; 36 patients; 39.6%) (DFS, P < 0.001; OS, P < 0.001). Furthermore, multivariate analyses showed that high GPS during CCRT was an independent prognostic factor of survival for OS (P = 0.008). CONCLUSIONS: During CCRT, a high GPS was revealed to be an important predictor of survival for cervical cancer.
Authors: Hui-Yi Lin; Qiufan Fu; Yu-Hsiang Kao; Tung-Sung Tseng; Krzysztof Reiss; Jennifer E Cameron; Martin J Ronis; Joseph Su; Navya Nair; Hsiao-Man Chang; Michael E Hagensee Journal: J Infect Dis Date: 2021-11-16 Impact factor: 5.226
Authors: Romain-David Seban; Charlotte Robert; Laurent Dercle; Randy Yeh; Ariane Dunant; Sylvain Reuze; Antoine Schernberg; Roger Sun; Fabien Mignot; Marie Terroir; Martin Schlumberger; Christine Haie-Meder; Cyrus Chargari; Eric Deutsch Journal: Oncoimmunology Date: 2019-03-06 Impact factor: 8.110
Authors: Cecilia Veraar; Stefan Janik; Jürgen Thanner; Clarence Veraar; Mohamed Mouhieddine; Ana-Iris Schiefer; Leonhard Müllauer; Martin Dworschak; Walter Klepetko; Hendrik Jan Ankersmit; Bernhard Moser Journal: Sci Rep Date: 2019-12-09 Impact factor: 4.379
Authors: Hanno M Witte; Bastian Bonorden; Armin Riecke; Harald Biersack; Konrad Steinestel; Hartmut Merz; Alfred C Feller; Veronica Bernard; Sebastian Fetscher; Nikolas von Bubnoff; Niklas Gebauer Journal: Cancers (Basel) Date: 2020-04-09 Impact factor: 6.639