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A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer

BACKGROUND: Systemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related...

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Autores principales: Ruan, Guo-Tian, Xie, Hai-Lun, Zhang, He-Yang, Liu, Chen-An, Ge, Yi-Zhong, Zhang, Qi, Wang, Zi-Wen, Zhang, Xi, Tang, Meng, Song, Meng-Meng, Zhang, Xiao-Wei, Yang, Ming, Chen, Yong-Bing, Yu, Kai-Ying, Deng, Li, Gong, Yi-Zhen, Hu, Wen, Wang, Kun-Hua, Cong, Ming-Hua, Shi, Han-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252441/
https://www.ncbi.nlm.nih.gov/pubmed/35795140
http://dx.doi.org/10.3389/fendo.2022.905266
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author Ruan, Guo-Tian
Xie, Hai-Lun
Zhang, He-Yang
Liu, Chen-An
Ge, Yi-Zhong
Zhang, Qi
Wang, Zi-Wen
Zhang, Xi
Tang, Meng
Song, Meng-Meng
Zhang, Xiao-Wei
Yang, Ming
Chen, Yong-Bing
Yu, Kai-Ying
Deng, Li
Gong, Yi-Zhen
Hu, Wen
Wang, Kun-Hua
Cong, Ming-Hua
Shi, Han-Ping
author_facet Ruan, Guo-Tian
Xie, Hai-Lun
Zhang, He-Yang
Liu, Chen-An
Ge, Yi-Zhong
Zhang, Qi
Wang, Zi-Wen
Zhang, Xi
Tang, Meng
Song, Meng-Meng
Zhang, Xiao-Wei
Yang, Ming
Chen, Yong-Bing
Yu, Kai-Ying
Deng, Li
Gong, Yi-Zhen
Hu, Wen
Wang, Kun-Hua
Cong, Ming-Hua
Shi, Han-Ping
author_sort Ruan, Guo-Tian
collection PubMed
description BACKGROUND: Systemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related marker in patients with cancer. METHODS: The total cohort of this study included 5221 patients with cancer, and the training and validation cohorts were randomized in a 7:3 ratio. C-reactive protein (CRP) and fasting triglyceride glucose (TyG) were used to reflect patients’ inflammation and IR status, respectively. The CRP-TyG index (CTI) was composed of CRP and TyG. The concordance (C)-index, receiver operator characteristic (ROC) curve, and calibration curve reflected the prognostic predictive power of CTI. Univariate and multivariate survival analyses predicted the prognostic value of CTI in patients with cancer. RESULTS: The C-indices of CTI in patients with cancer were 0.636, 0.617, and 0.631 in the total, training, and validation cohorts, respectively. The 1-, 3-, and 5-year ROC and calibration curves showed that CTI had a good predictive ability of survival in patients with cancer. Meanwhile, patients with high CTI had a worse prognosis compared to patients with low CTI (total cohort: hazard ratio [HR] = 1.46, 95% confidence interval [95% CI] = 1.33–1.59; training cohort: HR = 1.36, 95% CI = 1.22–1.52; validation cohort: HR = 1.73, 95% CI = 1.47–2.04]. CONCLUSION: The CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer.
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spelling pubmed-92524412022-07-05 A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer Ruan, Guo-Tian Xie, Hai-Lun Zhang, He-Yang Liu, Chen-An Ge, Yi-Zhong Zhang, Qi Wang, Zi-Wen Zhang, Xi Tang, Meng Song, Meng-Meng Zhang, Xiao-Wei Yang, Ming Chen, Yong-Bing Yu, Kai-Ying Deng, Li Gong, Yi-Zhen Hu, Wen Wang, Kun-Hua Cong, Ming-Hua Shi, Han-Ping Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Systemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related marker in patients with cancer. METHODS: The total cohort of this study included 5221 patients with cancer, and the training and validation cohorts were randomized in a 7:3 ratio. C-reactive protein (CRP) and fasting triglyceride glucose (TyG) were used to reflect patients’ inflammation and IR status, respectively. The CRP-TyG index (CTI) was composed of CRP and TyG. The concordance (C)-index, receiver operator characteristic (ROC) curve, and calibration curve reflected the prognostic predictive power of CTI. Univariate and multivariate survival analyses predicted the prognostic value of CTI in patients with cancer. RESULTS: The C-indices of CTI in patients with cancer were 0.636, 0.617, and 0.631 in the total, training, and validation cohorts, respectively. The 1-, 3-, and 5-year ROC and calibration curves showed that CTI had a good predictive ability of survival in patients with cancer. Meanwhile, patients with high CTI had a worse prognosis compared to patients with low CTI (total cohort: hazard ratio [HR] = 1.46, 95% confidence interval [95% CI] = 1.33–1.59; training cohort: HR = 1.36, 95% CI = 1.22–1.52; validation cohort: HR = 1.73, 95% CI = 1.47–2.04]. CONCLUSION: The CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer. Frontiers Media S.A. 2022-06-20 /pmc/articles/PMC9252441/ /pubmed/35795140 http://dx.doi.org/10.3389/fendo.2022.905266 Text en Copyright © 2022 Ruan, Xie, Zhang, Liu, Ge, Zhang, Wang, Zhang, Tang, Song, Zhang, Yang, Chen, Yu, Deng, Gong, Hu, Wang, Cong 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 Endocrinology
Ruan, Guo-Tian
Xie, Hai-Lun
Zhang, He-Yang
Liu, Chen-An
Ge, Yi-Zhong
Zhang, Qi
Wang, Zi-Wen
Zhang, Xi
Tang, Meng
Song, Meng-Meng
Zhang, Xiao-Wei
Yang, Ming
Chen, Yong-Bing
Yu, Kai-Ying
Deng, Li
Gong, Yi-Zhen
Hu, Wen
Wang, Kun-Hua
Cong, Ming-Hua
Shi, Han-Ping
A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer
title A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer
title_full A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer
title_fullStr A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer
title_full_unstemmed A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer
title_short A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer
title_sort novel inflammation and insulin resistance related indicator to predict the survival of patients with cancer
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252441/
https://www.ncbi.nlm.nih.gov/pubmed/35795140
http://dx.doi.org/10.3389/fendo.2022.905266
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