| Autor: |
Akazawa, Yuki, Igawa, Satoshi, Yamada, Kaori, Yamamoto, Hiroki, Yagami, Yuri, Kaizuka, Nobuki, Manaka, Hiroya, Kasajima, Masashi, Nakahara, Yoshiro, Sato, Takashi, Mitsufuji, Hisashi, Yokoba, Masanori, Kubota, Masaru, Sasaki, Jiichiro, Naoki, Katsuhiko |
| Předmět: |
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| Zdroj: |
Oncology; 2023, Vol. 101 Issue 11, p685-694, 10p |
| Abstrakt: |
Introduction: Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are the standard first-line treatment for advanced non-small cell lung cancer (NSCLC) with sensitive EGFR mutations. The Glasgow prognostic score (GPS) is an inflammation-assessing score based on C-reactive protein and albumin concentrations. Information regarding the association between the GPS and EGFR-TKI treatment effectiveness is limited; hence, we investigated whether the GPS can predict the response of NSCLC to EGFR-TKIs. Methods: We evaluated 340 patients with NSCLC harboring sensitive EGFR mutations who received EGFR-TKI monotherapy between March 2009 and July 2021. The Kaplan-Meier method and Cox proportional hazards models were used to assess progression-free survival (PFS) and overall survival (OS). Results: After a median follow-up of 26.6 months, patients with a GPS of 0, 1, and 2 had PFS of 15.7, 10.0, and 6.3 months, respectively, and OS of 40.1, 25.8, and 14.4 months, respectively; patients with a GPS of 0 had significantly better PFS and OS than those with a GPS of 1 (p = 0.03, p = 0.001, respectively) or 2 (p < 0.001, p < 0.001, respectively). Multivariate analysis identified poor performance status, stage 4 at diagnosis, type of EGFR-TKI (gefitinib/erlotinib vs. afatinib), and GPS = 2 as predictors of a short PFS. Meanwhile, poor performance status, gefitinib/erlotinib administration, and GPS = 2 were predictors of a short OS. Conclusion: The GPS predicted the survival of NSCLC patients harboring sensitive EGFR mutations who were undergoing EGFR-TKI treatment. The GPS might be ideal for routine use in clinical practice, given that it is an easily calculated parameter. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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