Development of a nomogram based on serum cytokine-related riskscore in breast cancer

作者：Ye Zhu, Yang He, Chong Chen, Jingyi Zhang, Xin Yang, Yuqing Lu, Yongzi Chen, Weipeng Zhao · 发表于：Frontiers in Oncology · 年份：2023 · DOI：10.3389/fonc.2023.1146463 · 被引用次数：6 · 研究领域：Inflammatory Biomarkers in Disease Prognosis、Advanced Biosensing Techniques and Applications、Tryptophan and brain disorders

Background: Cytokines are involved in many inflammatory diseases and thus play an important role in tumor immune regulation. In recent years, researchers have found that breast cancer is not only related to genetic and environmental factors, but also to the chronic inflammation and immunity. However, the correlation between serum cytokines and blood tests indicators remain unclear. Methods: A total of 84 serum samples and clinicopathological data of breast cancer patients from Tianjin Cancer Institute & Hospital, Tianjin Medical University, Tianjin, P. R. China were collected. The expression levels of the 12 cytokines were detected by immunofluorescence method. Blood tests results were obtained from medical records. By stepwise Cox regression analysis, a cytokine-related gene signature was generated. Univariate and multivariate Cox regression were used to analyze the influence on the prognosis of patients. A nomogram was constructed to illustrate the cytokine-related riskscore predicting 5-year OS, which was further evaluated and validated by C-index and ROC curve. The correlation between the expression of cytokines in serum and other blood indicators was studied by using Spearman's test. Results: The riskscore was calculated as IL-4×0.99069 + TNF-α×0.03683. Patients were divided into high and low risk groups according to the median riskscore, with the high-risk group has a shorter survival time by log-rank test (training set, P=0.017; validation set, P=0.013). Combined with ...