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Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer

Objectives: Immunologic dysfunction occurred in most of patients with non-small cell lung cancer (NSCLC), which worsened the overall survival (OS) of patients. Complement activation plays a significant role in abnormal activation of immune system. However, the prognostic value of complement componen...

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Autores principales: Li, Jing, Cao, Zhijun, Mi, Lijie, Xu, Zhihua, Wu, Xiangmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646172/
https://www.ncbi.nlm.nih.gov/pubmed/33193878
http://dx.doi.org/10.7150/jca.46721
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author Li, Jing
Cao, Zhijun
Mi, Lijie
Xu, Zhihua
Wu, Xiangmei
author_facet Li, Jing
Cao, Zhijun
Mi, Lijie
Xu, Zhihua
Wu, Xiangmei
author_sort Li, Jing
collection PubMed
description Objectives: Immunologic dysfunction occurred in most of patients with non-small cell lung cancer (NSCLC), which worsened the overall survival (OS) of patients. Complement activation plays a significant role in abnormal activation of immune system. However, the prognostic value of complement components such as CH50 and sC5b-9 in NSCLC patients remains unclear. This study evaluated the risk factors of NSCLC and created a prediction model. Methods: A real-world study was conducted including data from 928 patients with NSCLC between April 1, 2005 and June 1, 2015. CH50 and sC5b-9 were recorded during the admission. Cox proportional hazard model was applied for survival analyses and for assessing risk factors of cancer-related mortality and to create a nomogram for prediction. The accuracy of the model was evaluated by C-index and calibration curve. Results: In this study, the mortality in group with high CH50 level (≥ 480.56 umol/L) was 92.0%. Based on univariate analysis, we put factors (P <0.05) into a multivariate regression model, patients with high CH50 level (P <0.001, HR=1.59) and sC5b-9 >1422.18 μmol/L (P <0.001, HR=2.28) remained statistically factors for worsened OS and regarded as independent risk factors. These independently associated risk factors were applied to establish an OS estimation nomogram. Nomogram revealed good accuracy in estimating the risk, with a bootstrap-corrected C index of 0.741. Conclusion: sC5b-9 and CH50 increased the risk of cancer-related mortality in patients with NSCLC. Nomogram based on multivariate analysis demonstrated good accuracy in estimating the risk of overall mortality.
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spelling pubmed-76461722020-11-12 Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer Li, Jing Cao, Zhijun Mi, Lijie Xu, Zhihua Wu, Xiangmei J Cancer Research Paper Objectives: Immunologic dysfunction occurred in most of patients with non-small cell lung cancer (NSCLC), which worsened the overall survival (OS) of patients. Complement activation plays a significant role in abnormal activation of immune system. However, the prognostic value of complement components such as CH50 and sC5b-9 in NSCLC patients remains unclear. This study evaluated the risk factors of NSCLC and created a prediction model. Methods: A real-world study was conducted including data from 928 patients with NSCLC between April 1, 2005 and June 1, 2015. CH50 and sC5b-9 were recorded during the admission. Cox proportional hazard model was applied for survival analyses and for assessing risk factors of cancer-related mortality and to create a nomogram for prediction. The accuracy of the model was evaluated by C-index and calibration curve. Results: In this study, the mortality in group with high CH50 level (≥ 480.56 umol/L) was 92.0%. Based on univariate analysis, we put factors (P <0.05) into a multivariate regression model, patients with high CH50 level (P <0.001, HR=1.59) and sC5b-9 >1422.18 μmol/L (P <0.001, HR=2.28) remained statistically factors for worsened OS and regarded as independent risk factors. These independently associated risk factors were applied to establish an OS estimation nomogram. Nomogram revealed good accuracy in estimating the risk, with a bootstrap-corrected C index of 0.741. Conclusion: sC5b-9 and CH50 increased the risk of cancer-related mortality in patients with NSCLC. Nomogram based on multivariate analysis demonstrated good accuracy in estimating the risk of overall mortality. Ivyspring International Publisher 2020-10-18 /pmc/articles/PMC7646172/ /pubmed/33193878 http://dx.doi.org/10.7150/jca.46721 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Li, Jing
Cao, Zhijun
Mi, Lijie
Xu, Zhihua
Wu, Xiangmei
Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
title Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
title_full Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
title_fullStr Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
title_full_unstemmed Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
title_short Complement sC5b-9 and CH50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
title_sort complement sc5b-9 and ch50 increase the risk of cancer-related mortality in patients with non-small cell lung cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646172/
https://www.ncbi.nlm.nih.gov/pubmed/33193878
http://dx.doi.org/10.7150/jca.46721
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