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Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma

Lung cancer is the most common type of cancer worldwide with a high mortality rate. The specific tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR) have made enormous strides in non-small-cell lung cancer (NSCLC) treatment. The novel systemic immune-inflammation index (SII), a par...

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Autores principales: Ju, Qing, Huang, Tingping, Zhang, Yong, Wu, Lei, Geng, Jing, Mu, Xiaoyan, Yan, Tao, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886494/
https://www.ncbi.nlm.nih.gov/pubmed/33578585
http://dx.doi.org/10.1097/MD.0000000000024640
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author Ju, Qing
Huang, Tingping
Zhang, Yong
Wu, Lei
Geng, Jing
Mu, Xiaoyan
Yan, Tao
Zhang, Jian
author_facet Ju, Qing
Huang, Tingping
Zhang, Yong
Wu, Lei
Geng, Jing
Mu, Xiaoyan
Yan, Tao
Zhang, Jian
author_sort Ju, Qing
collection PubMed
description Lung cancer is the most common type of cancer worldwide with a high mortality rate. The specific tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR) have made enormous strides in non-small-cell lung cancer (NSCLC) treatment. The novel systemic immune-inflammation index (SII), a parameter that integrates lymphocytes, neutrophils, and platelets, has been found to play the vital role of a marker for predicting survival and recrudescence in various tumors. We retrospectively examined 102 patients with different EGFR-mutant lung adenocarcinomas. Survival analysis was performed using the Kaplan-Meier method with the log-rank test. Cut-off points were identified using the receiver operating characteristic curves with the maximum log-rank values. The Cox proportional hazards regression, expressed as p value, hazards regression, and 95% confidence interval, was conducted to assess the prognostic values of variables in overall survival (OS)/ progression-free survival (PFS). Lower SII was associated with prolonged survival in patients with different EGFR mutant lung adenocarcinomas in both variable and multivariable analyses. SII before treatment was a powerful indicator for the PFS and OS of patients who received the first-generation EGFR-TKI.
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spelling pubmed-78864942021-02-18 Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma Ju, Qing Huang, Tingping Zhang, Yong Wu, Lei Geng, Jing Mu, Xiaoyan Yan, Tao Zhang, Jian Medicine (Baltimore) 5700 Lung cancer is the most common type of cancer worldwide with a high mortality rate. The specific tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR) have made enormous strides in non-small-cell lung cancer (NSCLC) treatment. The novel systemic immune-inflammation index (SII), a parameter that integrates lymphocytes, neutrophils, and platelets, has been found to play the vital role of a marker for predicting survival and recrudescence in various tumors. We retrospectively examined 102 patients with different EGFR-mutant lung adenocarcinomas. Survival analysis was performed using the Kaplan-Meier method with the log-rank test. Cut-off points were identified using the receiver operating characteristic curves with the maximum log-rank values. The Cox proportional hazards regression, expressed as p value, hazards regression, and 95% confidence interval, was conducted to assess the prognostic values of variables in overall survival (OS)/ progression-free survival (PFS). Lower SII was associated with prolonged survival in patients with different EGFR mutant lung adenocarcinomas in both variable and multivariable analyses. SII before treatment was a powerful indicator for the PFS and OS of patients who received the first-generation EGFR-TKI. Lippincott Williams & Wilkins 2021-02-12 /pmc/articles/PMC7886494/ /pubmed/33578585 http://dx.doi.org/10.1097/MD.0000000000024640 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 5700
Ju, Qing
Huang, Tingping
Zhang, Yong
Wu, Lei
Geng, Jing
Mu, Xiaoyan
Yan, Tao
Zhang, Jian
Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
title Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
title_full Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
title_fullStr Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
title_full_unstemmed Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
title_short Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma
title_sort systemic immune-inflammation index predicts prognosis in patients with different egfr-mutant lung adenocarcinoma
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886494/
https://www.ncbi.nlm.nih.gov/pubmed/33578585
http://dx.doi.org/10.1097/MD.0000000000024640
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