Back to Search Start Over

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

Authors :
Guo-Tian Ruan
Hai-Lun Xie
He-Yang Zhang
Chen-An Liu
Yi-Zhong Ge
Qi Zhang
Zi-Wen Wang
Xi Zhang
Meng Tang
Meng-Meng Song
Xiao-Wei Zhang
Ming Yang
Yong-Bing Chen
Kai-Ying Yu
Li Deng
Yi-Zhen Gong
Wen Hu
Kun-Hua Wang
Ming-Hua Cong
Han-Ping Shi
Source :
Frontiers in Endocrinology, Vol 13 (2022)
Publication Year :
2022
Publisher :
Frontiers Media S.A., 2022.

Abstract

BackgroundSystemic 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.MethodsThe 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.ResultsThe 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].ConclusionThe CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer.

Details

Language :
English
ISSN :
16642392
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Endocrinology
Publication Type :
Academic Journal
Accession number :
edsdoj.23b05735f0c424a814e9b75ca76ab18
Document Type :
article
Full Text :
https://doi.org/10.3389/fendo.2022.905266