Solute carrier-related signature for assessing prognosis and immunity in patients with clear-cell renal cell carcinoma

作     者：WEI BAO QIANGUANG HAN XIAO GUAN ZIJIE WANG MIN GU 

作者机构：Department of UrologyThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina Department of UrologyThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina 

出 版 物：《Oncology Research》 (肿瘤学研究（英文）)

年 卷 期：2023年第31卷第2期

页      面：181-192页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：supported by the National Natural Science Foundation of China[Grant Numbers 82170769 81900684 and 81870512] 

主　　题：Clear cell renal cell carcinoma Solute carrier Bioinformatics Metabolic reprogramming Immune microenvironment 

摘      要：Background:Clear-cell renal cell carcinoma(ccRCC)is the most common malignant kidney ***,the tumor microenvironment and crosstalk involved in metabolic reprogramming in ccRCC are not ***:We used The Cancer Genome Atlas to obtain ccRCC transcriptome data and clinical *** EMTAB-1980 cohort was used for external *** GENECARDS database contains the first 100 solute carrier(SLC)-related *** predictive value of SLC-related genes for ccRCC prognosis and treatment was assessed using univariate Cox regression *** SLC-related predictive signature was developed through Lasso regression analysis and used to determine the risk profiles of patients with *** in each cohort were separated into high-and low-risk groups based on their risk *** clinical importance of the signature was assessed through survival,immune microenvironment,drug sensitivity,and nomogram analyses using R ***:SLC25A23,SLC25A42,SLC5A1,SLC3A1,SLC25A37,SLC5A6,SLCO5A1,and SCP2 comprised the signatures of the eight SLCrelated *** with ccRCC were separated into high-and low-risk groups based on the risk value in the training and validation cohorts;the high-risk group had a significantly worse prognosis(p0.001).The risk score was an independent predictive indicator of ccRCC in the two cohorts according to univariate and multivariate Cox regression(p0.05).Analysis of the immune microenvironment showed that immune cell infiltration and immune checkpoint gene expression differed between the two groups(p0.05).Drug sensitivity analysis showed that compared to the low-risk group,the high-risk group was more sensitive to sunitinib,nilotinib,JNK-inhibitor-VIII,dasatinib,bosutinib,and bortezomib(p0.001).Survival analysis and receiver operating characteristic curves were validated using the E-MTAB-1980 ***:SLC-related genes have predictive relevance in ccRCC and play roles in the immunological milieu