Systemic inflammation and insulin resistance-related indicator predicts poor outcome in patients with cancer cachexia

作者：Guo‐Tian Ruan, Li Deng, Hailun Xie, Jinyu Shi, Xiaoyue Liu, Xin Zheng, Yue Chen, Shiqi Lin, Heyang Zhang, Chenan Liu, Yi‐Zhong Ge, Mengmeng Song, Chunlei Hu, Xiaowei Zhang, Ming Yang, Wen Hu, Minghua Cong, Li‐Chen Zhu, Kunhua Wang, Hanping Shi · 发表于：Cancer & Metabolism · 年份：2024 · DOI：10.1186/s40170-024-00332-8 · 被引用次数：39 · 研究领域：Nutrition and Health in Aging、Inflammatory Biomarkers in Disease Prognosis、Adipokines, Inflammation, and Metabolic Diseases

BACKGROUND: The C-reactive protein (CRP)-triglyceride-glucose (TyG) index (CTI), which is a measure representing the level of inflammation and insulin resistance (IR), is related to poor cancer prognosis; however, the CTI has not been validated in patients with cancer cachexia. Thus, this study aimed to explore the potential clinical value of the CTI in patients with cancer cachexia. METHODS: In this study, our prospective multicenter cohort included 1411 patients with cancer cachexia (mean age 59.45 ± 11.38, 63.3% male), which was a combined analysis of multiple cancer types. We randomly selected 30% of the patients for the internal test cohort (mean age 58.90 ± 11.22% 61.4% male). Additionally, we included 307 patients with cancer cachexia in the external validation cohort (mean age 61.16 ± 11, 58.5% male). Receiver operating characteristic (ROC) and calibration curves were performed to investigate the prognostic value of CTI. The prognostic value of the CTI was also investigated performing univariate and multivariate survival analyses. RESULTS: The survival curve indicated that the CTI showed a significant prognostic value in the total, internal, and external validation cohorts. Prognostic ROC curves and calibration curves revealed that the CTI showed good consistency in predicting the survival of patients with cancer cachexia. Multivariate survival analysis showed that an elevated CTI increased the risk of death by 22% (total cohort, 95% confidence interval [CI] = 1.13-1....