Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer
Background: Bladder cancer(BLCA) is the ninth most common cancer. In recent years, necroptosis was found to be related to the occurrence and development of tumors. In this study, we aimed to construct a model based on a necroptosis-related signature to evaluate the potential prognostic application i...
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MDPI AG
2022-11-01
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| Online Access: | https://www.mdpi.com/2073-4425/13/11/2120 |
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| author | Zhenghao Chen Rui Cao Ren Wang Yichuan Wang Donghao Shang Ye Tian |
| author_facet | Zhenghao Chen Rui Cao Ren Wang Yichuan Wang Donghao Shang Ye Tian |
| author_sort | Zhenghao Chen |
| collection | DOAJ |
| description | Background: Bladder cancer(BLCA) is the ninth most common cancer. In recent years, necroptosis was found to be related to the occurrence and development of tumors. In this study, we aimed to construct a model based on a necroptosis-related signature to evaluate the potential prognostic application in BLCA. Methods: A total of 67 necroptosis-related genes were used to select the ideal cluster numbers, and it was found that there were four necroptosis-related patterns. Then, we compared the gene expression levels among all of the groups and established a necroptosis-related prognostic model. We made the following enrichment analysis of function and built a novel scoring system, the NEC score, to evaluate the state of necroptosis according to the expression level of necroptosis-related genes. Results: A total of 67 necroptosis-related genes were used to define four distinct necroptosis-related patterns: NEC cluster1–4. Each NEC cluster exhibited different patterns of survival and immune infiltration. Based on univariate Cox regression analyses and least absolute shrinkage and selection operator (Lasso) regression, 14 necroptosis-related genes were established to develop the NEC score. Patients were divided into two groups based on the NEC score. Patients in the high NEC score group had a significantly poorer overall survival than those in the low NEC score group. We further confirmed the correlation of clinical characteristics, as well as the immunotherapy outcome, with the NEC score, and confirmed the potential of the NEC score to be an independent prognostic factor. Furthermore, we compared the expression levels of eight potential biomarker genes between our own BLCA tissues and para-carcinoma tissue. Conclusion: We developed a novel NEC score that has a potential prognostic value in BLCA patients and may help personalized immunotherapy counselling. |
| first_indexed | 2024-03-09T18:19:24Z |
| format | Article |
| id | doaj.art-28ad627e9c7a49ec8f4b13a563cfe89c |
| institution | Directory Open Access Journal |
| issn | 2073-4425 |
| language | English |
| last_indexed | 2024-03-09T18:19:24Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Genes |
| spelling | doaj.art-28ad627e9c7a49ec8f4b13a563cfe89c2023-11-24T08:26:37ZengMDPI AGGenes2073-44252022-11-011311212010.3390/genes13112120Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder CancerZhenghao Chen0Rui Cao1Ren Wang2Yichuan Wang3Donghao Shang4Ye Tian5Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, ChinaDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, ChinaDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, ChinaDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, ChinaDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, ChinaDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, ChinaBackground: Bladder cancer(BLCA) is the ninth most common cancer. In recent years, necroptosis was found to be related to the occurrence and development of tumors. In this study, we aimed to construct a model based on a necroptosis-related signature to evaluate the potential prognostic application in BLCA. Methods: A total of 67 necroptosis-related genes were used to select the ideal cluster numbers, and it was found that there were four necroptosis-related patterns. Then, we compared the gene expression levels among all of the groups and established a necroptosis-related prognostic model. We made the following enrichment analysis of function and built a novel scoring system, the NEC score, to evaluate the state of necroptosis according to the expression level of necroptosis-related genes. Results: A total of 67 necroptosis-related genes were used to define four distinct necroptosis-related patterns: NEC cluster1–4. Each NEC cluster exhibited different patterns of survival and immune infiltration. Based on univariate Cox regression analyses and least absolute shrinkage and selection operator (Lasso) regression, 14 necroptosis-related genes were established to develop the NEC score. Patients were divided into two groups based on the NEC score. Patients in the high NEC score group had a significantly poorer overall survival than those in the low NEC score group. We further confirmed the correlation of clinical characteristics, as well as the immunotherapy outcome, with the NEC score, and confirmed the potential of the NEC score to be an independent prognostic factor. Furthermore, we compared the expression levels of eight potential biomarker genes between our own BLCA tissues and para-carcinoma tissue. Conclusion: We developed a novel NEC score that has a potential prognostic value in BLCA patients and may help personalized immunotherapy counselling.https://www.mdpi.com/2073-4425/13/11/2120necroptosisbladder cancer (BLCA)tumor microenvironment (TME)immune checkpointimmunotherapy |
| spellingShingle | Zhenghao Chen Rui Cao Ren Wang Yichuan Wang Donghao Shang Ye Tian Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer Genes necroptosis bladder cancer (BLCA) tumor microenvironment (TME) immune checkpoint immunotherapy |
| title | Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer |
| title_full | Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer |
| title_fullStr | Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer |
| title_full_unstemmed | Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer |
| title_short | Prognosis Risk Model Based on Necroptosis-Related Signature for Bladder Cancer |
| title_sort | prognosis risk model based on necroptosis related signature for bladder cancer |
| topic | necroptosis bladder cancer (BLCA) tumor microenvironment (TME) immune checkpoint immunotherapy |
| url | https://www.mdpi.com/2073-4425/13/11/2120 |
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