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Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma

PURPOSE: Systemic immune-inflammation index (SII) has been demonstrated to be closely associated with the poor prognosis of nasopharyngeal carcinoma (NPC). However, the role of SII during treatment of NPC has not been reported. This study aimed to determine the prognostic value of SII during treatme...

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Autores principales: Yuan, Xiaofei, Feng, Huiru, Huang, Haoran, Li, Junzheng, Wu, Shuting, Yuan, Yue, Cui, Linchong, Lin, Danfan, Chen, Zilu, Lu, Wenxuan, Liu, Xiong, Peng, Xiaohong, Wang, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889477/
https://www.ncbi.nlm.nih.gov/pubmed/36595043
http://dx.doi.org/10.1007/s00432-022-04506-z
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author Yuan, Xiaofei
Feng, Huiru
Huang, Haoran
Li, Junzheng
Wu, Shuting
Yuan, Yue
Cui, Linchong
Lin, Danfan
Chen, Zilu
Lu, Wenxuan
Liu, Xiong
Peng, Xiaohong
Wang, Fan
author_facet Yuan, Xiaofei
Feng, Huiru
Huang, Haoran
Li, Junzheng
Wu, Shuting
Yuan, Yue
Cui, Linchong
Lin, Danfan
Chen, Zilu
Lu, Wenxuan
Liu, Xiong
Peng, Xiaohong
Wang, Fan
author_sort Yuan, Xiaofei
collection PubMed
description PURPOSE: Systemic immune-inflammation index (SII) has been demonstrated to be closely associated with the poor prognosis of nasopharyngeal carcinoma (NPC). However, the role of SII during treatment of NPC has not been reported. This study aimed to determine the prognostic value of SII during treatment for NPC patients. METHODS: A total of 759 patients diagnosed with NPC were included in this retrospective study (393 in training cohort and 366 in validation cohort). The correlation between variables was analyzed by the chi-squared test, the Fisher’s exact test or the likelihood test. Kaplan–Meier method and log-rank test were used to analyze progression-free survival (PFS) and overall survival (OS). The independent prognostic factors were determined by multivariate analysis of Cox proportional hazards regression model. The uncontrolled risk was analyzed by Logistic regression. Receiver operating characteristic (ROC) curves were used to assess prognostic value. RESULTS: The optimal cut-off point for the SII during treatment was 937.32. High SII during treatment group had higher uncontrolled risk than low SII during treatment group (p = 0.008). In multivariate Cox proportional hazard models analysis, SII during treatment was an independent prognostic factor for 5-year PFS (p < 0.001) and 5-year OS (p < 0.001). All results were found in the training cohort and confirmed in the validation cohort. CONCLUSIONS: The SII during treatment is a promising indicator of predicting the survival in NPC patients, especially the risk of uncontrolled occurrence. By monitoring the SII during treatment, it is possible to better evaluate the treatment effect and formulate personalized treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-022-04506-z.
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spelling pubmed-98894772023-02-02 Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma Yuan, Xiaofei Feng, Huiru Huang, Haoran Li, Junzheng Wu, Shuting Yuan, Yue Cui, Linchong Lin, Danfan Chen, Zilu Lu, Wenxuan Liu, Xiong Peng, Xiaohong Wang, Fan J Cancer Res Clin Oncol Research PURPOSE: Systemic immune-inflammation index (SII) has been demonstrated to be closely associated with the poor prognosis of nasopharyngeal carcinoma (NPC). However, the role of SII during treatment of NPC has not been reported. This study aimed to determine the prognostic value of SII during treatment for NPC patients. METHODS: A total of 759 patients diagnosed with NPC were included in this retrospective study (393 in training cohort and 366 in validation cohort). The correlation between variables was analyzed by the chi-squared test, the Fisher’s exact test or the likelihood test. Kaplan–Meier method and log-rank test were used to analyze progression-free survival (PFS) and overall survival (OS). The independent prognostic factors were determined by multivariate analysis of Cox proportional hazards regression model. The uncontrolled risk was analyzed by Logistic regression. Receiver operating characteristic (ROC) curves were used to assess prognostic value. RESULTS: The optimal cut-off point for the SII during treatment was 937.32. High SII during treatment group had higher uncontrolled risk than low SII during treatment group (p = 0.008). In multivariate Cox proportional hazard models analysis, SII during treatment was an independent prognostic factor for 5-year PFS (p < 0.001) and 5-year OS (p < 0.001). All results were found in the training cohort and confirmed in the validation cohort. CONCLUSIONS: The SII during treatment is a promising indicator of predicting the survival in NPC patients, especially the risk of uncontrolled occurrence. By monitoring the SII during treatment, it is possible to better evaluate the treatment effect and formulate personalized treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-022-04506-z. Springer Berlin Heidelberg 2023-01-03 2023 /pmc/articles/PMC9889477/ /pubmed/36595043 http://dx.doi.org/10.1007/s00432-022-04506-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Yuan, Xiaofei
Feng, Huiru
Huang, Haoran
Li, Junzheng
Wu, Shuting
Yuan, Yue
Cui, Linchong
Lin, Danfan
Chen, Zilu
Lu, Wenxuan
Liu, Xiong
Peng, Xiaohong
Wang, Fan
Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
title Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
title_full Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
title_fullStr Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
title_full_unstemmed Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
title_short Systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
title_sort systemic immune-inflammation index during treatment predicts prognosis and guides clinical treatment in patients with nasopharyngeal carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889477/
https://www.ncbi.nlm.nih.gov/pubmed/36595043
http://dx.doi.org/10.1007/s00432-022-04506-z
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