Risk modeling based on HER-2 related genes for bladder cancer survival prognosis assessment.
- Author:
Huan Rui LIU
1
;
Xiang PENG
1
;
Sen Lin LI
1
;
Xin GOU
1
Author Information
1. Department of Urology, The First Hospital of Chongqing Medical University, Chongqing 400016, China.
- Publication Type:Journal Article
- Keywords:
Bladder cancer;
HER-2 related genes;
Immune cell infiltration;
Prognosis;
Risk model
- MeSH:
Humans;
Epidermal Growth Factor;
Prognosis;
Urinary Bladder Neoplasms/genetics*;
Nomograms;
Urinary Bladder
- From:
Journal of Peking University(Health Sciences)
2023;55(5):793-801
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To investigate the correlation between the human epidermal growth factor receptor-2-related genes (HRGs) and survival prognosis of bladder cancer and to construct a predictive model for survival prognosis of bladder cancer patients based on HRGs.
METHODS:HRGs in bladder cancer were found by downloading bladder tumor tissue mRNA sequencing data and clinical data from the cancer genome atlas (TCGA), downloading HER-2 related genes from the molecular signatures database (MsigDB), and crossing the two databases. Further identifying HRGs associated with bladder cancer survival (P < 0.05) by using single and multi-factor Cox regression analysis and constructing HRGs risk score model (HRSM), the bladder cancer patients were categorized into high-risk and low-risk groups accor-ding to the median risk score. Survival analysis of the patients in high- and low-risk groups was conducted using R language and correlation of HRGs with clinical characteristics. A multi-factor Cox regression analysis was used to verify the independent factors affecting the prognosis of the patients with bladder cancer. The area under the curve (AUC) of the receiver operating characteristic curve (ROC) of HRSM was calculated, and a nomogram was constructed for survival prediction of the bladder cancer patients. Analysis of HRSM and patient immune cell infiltration correlation was made using the TIMER database.
RESULTS:A total of 13 HRGs associated with patient survival were identified in this study. Five genes (BTC, CDC37, EGF, PTPRR and EREG) were selected for HRSM by multi-factor Cox regression analysis. The 5-year survival rate of the bladder cancer patients in the high-risk group was significantly lower than that of the patients in the low-risk group. High expression of PTPRR was found to be significantly and negatively correlated with tumor grade and stage by clinical correlation analysis, while EREG was found to be the opposite; Increased expression of EGF was associated with high grade, however, the high expression ofCDC37showed the opposite result. And no significant correlation was found between BTC expression and clinical features. Correlation analysis of HRSM with immune cells revealed a positive correlation between risk score and infiltration of dendritic cells, CD8+T cells, CD4+T cells, neutrophils and macrophages.
CONCLUSION:HRGs have an important role in the prognosis of bladder cancer patients and may serve as new predictive biomarkers and potential targets for treatment.
