Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784740265751216128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9252441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ruanguotian anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT xiehailun anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangheyang anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT liuchenan anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT geyizhong anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangqi anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT wangziwen anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangxi anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT tangmeng anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT songmengmeng anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangxiaowei anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT yangming anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT chenyongbing anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT yukaiying anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT dengli anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT gongyizhen anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT huwen anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT wangkunhua anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT congminghua anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT shihanping anovelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT ruanguotian novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT xiehailun novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangheyang novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT liuchenan novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT geyizhong novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangqi novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT wangziwen novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangxi novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT tangmeng novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT songmengmeng novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT zhangxiaowei novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT yangming novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT chenyongbing novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT yukaiying novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT dengli novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT gongyizhen novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT huwen novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT wangkunhua novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT congminghua novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer AT shihanping novelinflammationandinsulinresistancerelatedindicatortopredictthesurvivalofpatientswithcancer |