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Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration
BACKGROUND: The incidence of colorectal cancer (CRC) is common and reliable biomarkers are lacking. We aimed to systematically and comprehensively compare the ability of various combinations of serum inflammatory signatures to predict the prognosis of CRC. Moreover, particular attention has been pai...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849562/ https://www.ncbi.nlm.nih.gov/pubmed/36685502 http://dx.doi.org/10.3389/fimmu.2022.1092498 |
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author | Xie, Hailun Ruan, Guotian Wei, Lishuang Zhang, Heyang Ge, Yizhong Zhang, Qi Song, Mengmeng Zhang, Xi Liu, Xiaoyue Lin, Shiqi Yang, Ming Hu, Chunlei Tang, Meng Deng, Li Hu, Wen Shi, Hanping |
author_facet | Xie, Hailun Ruan, Guotian Wei, Lishuang Zhang, Heyang Ge, Yizhong Zhang, Qi Song, Mengmeng Zhang, Xi Liu, Xiaoyue Lin, Shiqi Yang, Ming Hu, Chunlei Tang, Meng Deng, Li Hu, Wen Shi, Hanping |
author_sort | Xie, Hailun |
collection | PubMed |
description | BACKGROUND: The incidence of colorectal cancer (CRC) is common and reliable biomarkers are lacking. We aimed to systematically and comprehensively compare the ability of various combinations of serum inflammatory signatures to predict the prognosis of CRC. Moreover, particular attention has been paid to the clinical feasibility of the newly developed inflammatory burden index (IBI) as a prognostic biomarker for CRC. METHODS: The discrimination capacity of the biomarkers was compared using receiver operating characteristic curves and Harrell’s C-index. Kaplan-Meier curves and log-rank tests were used to compare survival differences between the groups. Cox proportional hazard regression analysis was used to determine the independent prognostic factors. Logistic regression analysis was used to assess the relationship between IBI, short-term outcomes, and malnutrition. RESULTS: IBI had the optimal prediction accuracy among the systemic inflammation biomarkers for predicting the prognosis of CRC. Taking IBI as a reference, none of the remaining systemic inflammation biomarkers showed a gain. Patients with high IBI had significantly worse overall survival than those with low IBI (56.7% vs. 80.2%; log-rank P<0.001). Multivariate Cox regression analysis showed that continuous IBI was an independent risk factor for the prognosis of CRC patients (hazard ratio = 1.165, 95% confidence interval [CI] = 1.043–1.302, P<0.001). High IBI was an independent risk factor for short-term outcomes (odds ratio [OR] = 1.537, 95% CI = 1.258–1.878, P<0.001), malnutrition (OR = 2.996, 95% CI = 1.471–6.103, P=0.003), and recurrence (OR = 1.744, 95% CI = 1.176–2.587, p = 0.006) in CRC patients. CONCLUSIONS: IBI, as a reflection of systemic inflammation, is a feasible and promising biomarker for assessing the prognosis of CRC patients. |
format | Online Article Text |
id | pubmed-9849562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98495622023-01-20 Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration Xie, Hailun Ruan, Guotian Wei, Lishuang Zhang, Heyang Ge, Yizhong Zhang, Qi Song, Mengmeng Zhang, Xi Liu, Xiaoyue Lin, Shiqi Yang, Ming Hu, Chunlei Tang, Meng Deng, Li Hu, Wen Shi, Hanping Front Immunol Immunology BACKGROUND: The incidence of colorectal cancer (CRC) is common and reliable biomarkers are lacking. We aimed to systematically and comprehensively compare the ability of various combinations of serum inflammatory signatures to predict the prognosis of CRC. Moreover, particular attention has been paid to the clinical feasibility of the newly developed inflammatory burden index (IBI) as a prognostic biomarker for CRC. METHODS: The discrimination capacity of the biomarkers was compared using receiver operating characteristic curves and Harrell’s C-index. Kaplan-Meier curves and log-rank tests were used to compare survival differences between the groups. Cox proportional hazard regression analysis was used to determine the independent prognostic factors. Logistic regression analysis was used to assess the relationship between IBI, short-term outcomes, and malnutrition. RESULTS: IBI had the optimal prediction accuracy among the systemic inflammation biomarkers for predicting the prognosis of CRC. Taking IBI as a reference, none of the remaining systemic inflammation biomarkers showed a gain. Patients with high IBI had significantly worse overall survival than those with low IBI (56.7% vs. 80.2%; log-rank P<0.001). Multivariate Cox regression analysis showed that continuous IBI was an independent risk factor for the prognosis of CRC patients (hazard ratio = 1.165, 95% confidence interval [CI] = 1.043–1.302, P<0.001). High IBI was an independent risk factor for short-term outcomes (odds ratio [OR] = 1.537, 95% CI = 1.258–1.878, P<0.001), malnutrition (OR = 2.996, 95% CI = 1.471–6.103, P=0.003), and recurrence (OR = 1.744, 95% CI = 1.176–2.587, p = 0.006) in CRC patients. CONCLUSIONS: IBI, as a reflection of systemic inflammation, is a feasible and promising biomarker for assessing the prognosis of CRC patients. Frontiers Media S.A. 2023-01-05 /pmc/articles/PMC9849562/ /pubmed/36685502 http://dx.doi.org/10.3389/fimmu.2022.1092498 Text en Copyright © 2023 Xie, Ruan, Wei, Zhang, Ge, Zhang, Song, Zhang, Liu, Lin, Yang, Hu, Tang, Deng, Hu and Shi https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Xie, Hailun Ruan, Guotian Wei, Lishuang Zhang, Heyang Ge, Yizhong Zhang, Qi Song, Mengmeng Zhang, Xi Liu, Xiaoyue Lin, Shiqi Yang, Ming Hu, Chunlei Tang, Meng Deng, Li Hu, Wen Shi, Hanping Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration |
title | Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration |
title_full | Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration |
title_fullStr | Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration |
title_full_unstemmed | Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration |
title_short | Comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: Results from a large multicenter collaboration |
title_sort | comprehensive comparative analysis of prognostic value of serum systemic inflammation biomarkers for colorectal cancer: results from a large multicenter collaboration |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849562/ https://www.ncbi.nlm.nih.gov/pubmed/36685502 http://dx.doi.org/10.3389/fimmu.2022.1092498 |
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