Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma
Background. Though there are several prognostic models, there is no protein-related prognostic model. The aim of this study is to identify possible prognostic-related proteins in bladder urothelial carcinoma and to try to predict the prognosis of bladder urothelial carcinoma based on these proteins....
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Online Access: | http://dx.doi.org/10.1155/2020/7147824 |
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doaj-b1452817d2c749b6992868f517249b292020-11-25T03:50:06ZengHindawi LimitedBioMed Research International2314-61332314-61412020-01-01202010.1155/2020/71478247147824Construction of Protein-related Risk Score Model in Bladder Urothelial CarcinomaQizhan Luo0Xiaobo Zhang1Xiangya International Medical Center, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, ChinaXiangya International Medical Center, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, ChinaBackground. Though there are several prognostic models, there is no protein-related prognostic model. The aim of this study is to identify possible prognostic-related proteins in bladder urothelial carcinoma and to try to predict the prognosis of bladder urothelial carcinoma based on these proteins. Methods. Profile data and corresponding clinical traits were obtained from The Cancer Proteome Atlas (TCPA) and The Cancer Genome Atlas (TCGA) expression. Survival-associated protein in bladder urothelial carcinoma patients were estimated with Kaplan-Meier (KM) test and COX regression analysis. The potential molecular mechanisms and properties of these bladder urothelial carcinoma-specific proteins were also explored with the help of computational skills. The risk score model was validated in different clinical traits. Sankey diagram representation is for protein correlation. A new prognostic-related risk model based on proteins was developed by using multivariable COX analysis. Next, the alteration of the corresponding genes to the 6 prognostic-related proteins was analyzed. Finally, the relation between the corresponding genes and the immune infiltration was analyzed using the TIMER. Results. Six proteins were identified to be associated with the prognosis of bladder urothelial carcinoma. A prognostic signature based on proteins (BECLIN, EGFR, PKCALPHA, SRC, ANNEXIN1, and AXL) performed moderately in prognostic predictions. The alteration of corresponding genes was in 31(24%) sequenced cases. ANXA1, AXL, and EGFR were positively related to CD8+ T cell. Conclusion. Our results screened six proteins of clinical significance. The importance of a personalized protein signature model in the recognition, surveillance. The abnormal expression of six prognostic-related proteins may be caused by corresponding gene alteration. Furthermore, these proteins may affect survival via the immune infiltration.http://dx.doi.org/10.1155/2020/7147824 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qizhan Luo Xiaobo Zhang |
spellingShingle |
Qizhan Luo Xiaobo Zhang Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma BioMed Research International |
author_facet |
Qizhan Luo Xiaobo Zhang |
author_sort |
Qizhan Luo |
title |
Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma |
title_short |
Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma |
title_full |
Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma |
title_fullStr |
Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma |
title_full_unstemmed |
Construction of Protein-related Risk Score Model in Bladder Urothelial Carcinoma |
title_sort |
construction of protein-related risk score model in bladder urothelial carcinoma |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2020-01-01 |
description |
Background. Though there are several prognostic models, there is no protein-related prognostic model. The aim of this study is to identify possible prognostic-related proteins in bladder urothelial carcinoma and to try to predict the prognosis of bladder urothelial carcinoma based on these proteins. Methods. Profile data and corresponding clinical traits were obtained from The Cancer Proteome Atlas (TCPA) and The Cancer Genome Atlas (TCGA) expression. Survival-associated protein in bladder urothelial carcinoma patients were estimated with Kaplan-Meier (KM) test and COX regression analysis. The potential molecular mechanisms and properties of these bladder urothelial carcinoma-specific proteins were also explored with the help of computational skills. The risk score model was validated in different clinical traits. Sankey diagram representation is for protein correlation. A new prognostic-related risk model based on proteins was developed by using multivariable COX analysis. Next, the alteration of the corresponding genes to the 6 prognostic-related proteins was analyzed. Finally, the relation between the corresponding genes and the immune infiltration was analyzed using the TIMER. Results. Six proteins were identified to be associated with the prognosis of bladder urothelial carcinoma. A prognostic signature based on proteins (BECLIN, EGFR, PKCALPHA, SRC, ANNEXIN1, and AXL) performed moderately in prognostic predictions. The alteration of corresponding genes was in 31(24%) sequenced cases. ANXA1, AXL, and EGFR were positively related to CD8+ T cell. Conclusion. Our results screened six proteins of clinical significance. The importance of a personalized protein signature model in the recognition, surveillance. The abnormal expression of six prognostic-related proteins may be caused by corresponding gene alteration. Furthermore, these proteins may affect survival via the immune infiltration. |
url |
http://dx.doi.org/10.1155/2020/7147824 |
work_keys_str_mv |
AT qizhanluo constructionofproteinrelatedriskscoremodelinbladderurothelialcarcinoma AT xiaobozhang constructionofproteinrelatedriskscoremodelinbladderurothelialcarcinoma |
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