The Glasgow Prognostic Score Predicts Survival Outcomes in Patients with Extensive-Stage Small Cell Lung Cancer
Introduction: The Glasgow prognostic score (GPS) is an inflammation-related score based on C-reactive protein and albumin concentrations. Few studies have assessed the correlation between the GPS and the efficacy of chemotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC). Therefore, this study aimed to evaluate the utility of the GPS in predicting the survival outcomes of patients with ES-SCLC. Methods: This retrospective study evaluated patients with ES-SCLC who had undergone chemotherapy between February 2008 and November 2021. GPS values were evaluated before the initiation of first-line chemotherapy. The Kaplan-Meier method and Cox proportional hazards models were used to assess progression-free survival (PFS) and overall survival (OS). Results: The GPS values of the 113 patients were zero (54 patients, 48%), 1 (37 patients, 33%), and 2 (22 patients, 19%). The median follow-up duration was 10.7 months. Median PFS was 6.2, 5.6, and 3.8 months in the GPS 0, 1, and 2 groups, respectively, suggesting that the GPS zero group had a significantly more favorable PFS than the GPS 2 group (p < 0.001). Median OS was 17.1, 9.4, and 5.6 months in the GPS 0, 1, and 2 groups, respectively, suggesting that the GPS zero group had a significantly more favorable OS than the GPS 2 group (p = 0.001). Multivariate analysis confirmed that a GPS of 2 independently predicted unfavorable PFS (hazard ratio [HR], 2.89; 95% confidence interval [CI]: 1.68–4.88; p < 0.001) and OS (HR, 3.49 [95% CI: 1.83–6.63], p < 0.001). Conclusion: The study’s findings suggest that the GPS can predict the survival outcomes of patients with ES-SCLC who have undergone chemotherapy. The GPS is an easy-to-calculate biomarker and would be ideal for routine use in clinical settings.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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The Glasgow Prognostic Score Predicts Survival Outcomes in Patients with Extensive-Stage Small Cell Lung Cancer ; volume:101 ; number:11 ; year:2023 ; pages:695-704 ; extent:10
Oncology ; 101, Heft 11 (2023), 695-704 (gesamt 10)
- Creator
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Igawa, Satoshi
Yamamoto, Hiroki
Yamada, Kaori
Akazawa, Yuki
Manaka, Hiroya
Yagami, Yuri
Nakahara, Yoshiro
Sato, Takashi
Mitsufuji, Hisashi
Sasaki, Jiichiro
Naoki, Katsuhiko
- DOI
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10.1159/000532087
- URN
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urn:nbn:de:101:1-2023110123171703007322
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:59 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Igawa, Satoshi
- Yamamoto, Hiroki
- Yamada, Kaori
- Akazawa, Yuki
- Manaka, Hiroya
- Yagami, Yuri
- Nakahara, Yoshiro
- Sato, Takashi
- Mitsufuji, Hisashi
- Sasaki, Jiichiro
- Naoki, Katsuhiko