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The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors
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 prote...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614514/ https://www.ncbi.nlm.nih.gov/pubmed/37166346 http://dx.doi.org/10.1159/000530809 |
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author | 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 |
author_facet | 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 |
author_sort | Akazawa, Yuki |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10614514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-106145142023-10-31 The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors 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 Oncology Clinical Study 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. S. Karger AG 2023-04-25 2023-10 /pmc/articles/PMC10614514/ /pubmed/37166346 http://dx.doi.org/10.1159/000530809 Text en © 2023 The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission. |
spellingShingle | Clinical Study 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 The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors |
title | The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors |
title_full | The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors |
title_fullStr | The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors |
title_full_unstemmed | The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors |
title_short | The Glasgow Prognostic Score Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer Harboring Sensitive Epidermal Growth Factor Receptor Mutations Who Are Treated with Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors |
title_sort | glasgow prognostic score predicts survival in patients with advanced non-small cell lung cancer harboring sensitive epidermal growth factor receptor mutations who are treated with epidermal growth factor receptor-tyrosine kinase inhibitors |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614514/ https://www.ncbi.nlm.nih.gov/pubmed/37166346 http://dx.doi.org/10.1159/000530809 |
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