Establishment of a prognostic model related to tregs and natural killer cells infiltration in bladder cancer

作者全名："Yang, Yan-Jie; Xu, Xiao-Qing; Zhang, Yi-Chao; Hu, Peng-Cheng; Yang, Wu-Xia"

作者地址："[Yang, Yan-Jie] Southern Med Univ, Shunde Hosp, Peoples Hosp Shunde 1, Foshan 528308, Guangdong, Peoples R China; [Xu, Xiao-Qing] Tianjin Med Univ, Grad Sch, Tianjin 300041, Peoples R China; [Zhang, Yi-Chao] Qinghai Univ, Grad Sch, Xining 810000, Qinghai, Peoples R China; [Hu, Peng-Cheng] Chongqing Med Univ, Affiliated Hosp 2, Dept Ophthalmol, Chongqing 400010, Peoples R China; [Yang, Wu-Xia] Tianjin Med Univ, Gen Hosp, Grad Sch, Dept Tradit Chinese Med, Tianjin 300041, Peoples R China"

通信作者："Yang, WX (通讯作者)，Tianjin Med Univ, Gen Hosp, Grad Sch, Dept Tradit Chinese Med, Tianjin 300041, Peoples R China."

来源：WORLD JOURNAL OF CLINICAL CASES

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001021524200007

JCR分区：Q3

影响因子：1.1

年份：2023

卷号：11

期号：15

开始页：3444

结束页：3456

文献类型：Article

关键词：Natural killer cells; Tregs; Bladder cancer; Weighted gene coexpression network analysis; Bladder cancer treatment; Immunotherapy; Computational molecular biology

摘要："BACKGROUND Regulatory T cells (Tregs) and natural killer (NK) cells play an essential role in the development of bladder urothelial carcinoma (BUC). AIM To construct a prognosis- related model to judge the prognosis of patients with bladder cancer, meanwhile, predict the sensitivity of patients to chemotherapy and immunotherapy. METHODS Bladder cancer information data was obtained from The Cancer Genome Atlas and GSE32894. The CIBERSORT was used to calculate the immune score of each sample. Weighted gene co-expression network analysis was used to find genes that will have the same or similar expression patterns. Subsequently, multivariate cox regression and lasso regression was used to further screen prognosis-related genes. The prrophetic package was used to predict phenotype from gene expression data, drug sensitivity of external cell line and predict clinical data. RESULTS The stage and risk scores are independent prognostic factors in patients with BUC. Mutations in FGFR3 lead to an increase in Tregs percolation and affect the prognosis of the tumor, and additionally, EMP1, TCHH and CNTNAP3B in the model are mainly positively correlated with the expression of immune checkpoints, while CMTM8, SORT1 and IQSEC1 are negatively correlated with immune checkpoints and the high-risk group had higher sensitivity to chemotherapy drugs. CONCLUSION Prognosis-related models of bladder tumor patients, based on Treg and NK cell percolation in tumor tissue. In addition to judging the prognosis of patients with bladder cancer, it can also predict the sensitivity of patients to chemotherapy and immunotherapy. At the same time, patients were divided into high and low risk groups based on this model, and differences in genetic mutations were found between the high and low risk groups."

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