Construction of a prognostic model and drug prediction for clear cell renal cell carcinoma based on endoplasmic reticulum stress-related lncRNA
10.3969/j.issn.1009-8291.2024.02.013
- VernacularTitle:基于内质网应激相关lncRNA的肾透明细胞癌预后模型构建与药物预测
- Author:
Yuan LI
1
,
2
;
Zhuoyang LI
1
,
2
;
Geliang LIU
1
,
2
;
Chaoyang HU
1
,
2
;
Peifeng HE
1
,
2
;
Qi YU
1
,
2
Author Information
1. School of Management,Shanxi Medical University, Jinzhong 030600
2. Key Laboratory of Big Data in Clinical Decision Research,Shanxi Province, Taiyuan 030001, China
- Publication Type:Journal Article
- Keywords:
endoplasmic reticulum stress;
clear cell renal cell carcinoma;
prognostic model;
immune infiltration;
drug sensitivity
- From:
Journal of Modern Urology
2024;29(2):158-167
- CountryChina
- Language:Chinese
-
Abstract:
【Objective】 To construct a prognostic model of clear cell renal cell carcinoma (ccRCC) based on endoplasmic reticulum stress (ERS)-related long non-coding ribonucleotides (lncRNA),so as to explore the correlation between immune cell infiltration and prognosis of ccRCC patients,and to search for new drugs for the treatment of ccRCC. 【Methods】 The transcriptome and clinical data of cancerous and paracancerous tissues of ccRCC were obtained from the TCGA database.The ERS-associated gene set was obtained from the MSigDB database.ERS co-expressed lncRNAs were screened with Pearson correlation analysis.ERS-related lncRNA (ERSRL) with prognostic significance were screened with Lasso regression,univariate and multivariate Cox regression analyses,and a prognostic model was constructed.The risk value of each sample was calculated according to the prognostic model formula.The patients were divided into high- risk and low- risk groups for survival difference analysis.The predictive performance of the prognostic model was evaluated with survival curve,receiver operating characteristic (ROC) curve and calibration curve.The infiltration of immune cells in high-and low-risk groups was analyzed with CIBERSORT database.The relationship between ERSRL and drug sensitivity was analyzed with GDSC database to identify drugs with potential efficacy against ccRCC. 【Results】 A total of 9 lncRNAs with independent prognostic significance were screened to construct the prognostic model.Kaplan-Meier analysis showed significant survival differences between the high- and low-risk groups.Univariate and multivariate Cox regression analyses showed that age,grade,stage and risk score could be used as independent prognostic factors.The area under the ROC curve (AUC) of the 1-,3-,and 5-year survival rates of the training set were 0.754 (95%CI:0.659-0.848),0.744 (95%CI:0.667-0.815),and 0.759 (95%CI:0.662-0.820),respectively,and the C-index was 0.777 (95%CI:0.759-0.796).Immune infiltration results showed that plasma cells,activated memory CD4+T cells,regulatory T cells,M0 macrophages,and activated mast cell infiltration levels were higher in the high-risk group than those in the low-risk group.Drug susceptibility analysis identified 12 drugs with potential curative effects on ccRCC,including AZD8055. 【Conclusion】 Based on 9 ERSRLs,a prognostic model for ccRCC patients was constructed,and 12 drugs with potential therapeutic effects were screened,including AZD8055.
