A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients
Aim: The aim of this study was to investigate the prognostic relevance of disulfidptosis-related genes in glioblastoma using bioinformatic analysis in The Cancer Genome Atlas Program-Glioblastoma (TCGA-GBM) database and develop a gene signature model for predicting patient prognosis. Methods: We con...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Future Science OA |
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| Online Access: | https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136 |
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| author | Yuxia Zhang Bing Liu Yuelian Zhou |
| author_facet | Yuxia Zhang Bing Liu Yuelian Zhou |
| author_sort | Yuxia Zhang |
| collection | DOAJ |
| description | Aim: The aim of this study was to investigate the prognostic relevance of disulfidptosis-related genes in glioblastoma using bioinformatic analysis in The Cancer Genome Atlas Program-Glioblastoma (TCGA-GBM) database and develop a gene signature model for predicting patient prognosis. Methods: We conducted a bioinformatic analysis using the TCGA-GBM database and employed weighted co-expression network analysis to identify disulfidptosis-related genes. Subsequently, we developed a predictive gene signature model based on these genes to stratify glioblastoma patients into high and low-risk groups. Results: Patients categorized into the high-risk group based on the disulfidptosis-related gene signature exhibited a significantly reduced survival rate in comparison to those in the low-risk group. Functional analysis also revealed notable differences in the immune status between the two risk groups. Conclusion: In conclusion, a new disulfidptosis-related gene signature can be utilised to predict prognosis in GBM. |
| format | Article |
| id | doaj-art-8077890bd4e04bdcaf42a922fb7f1251 |
| institution | DOAJ |
| issn | 2056-5623 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Future Science OA |
| spelling | doaj-art-8077890bd4e04bdcaf42a922fb7f12512025-08-20T03:11:55ZengTaylor & Francis GroupFuture Science OA2056-56232024-12-0110110.2144/fsoa-2023-0136A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patientsYuxia Zhang0Bing Liu1Yuelian Zhou2Intensive Care Unit, Shandong Dongying People's Hospital, Dongying, 257091, ChinaDepartment of Oncology, Shandong Dongying People's Hospital, Dongying, 257091, ChinaDepartment of Oncology, Shandong Dongying People's Hospital, Dongying, 257091, ChinaAim: The aim of this study was to investigate the prognostic relevance of disulfidptosis-related genes in glioblastoma using bioinformatic analysis in The Cancer Genome Atlas Program-Glioblastoma (TCGA-GBM) database and develop a gene signature model for predicting patient prognosis. Methods: We conducted a bioinformatic analysis using the TCGA-GBM database and employed weighted co-expression network analysis to identify disulfidptosis-related genes. Subsequently, we developed a predictive gene signature model based on these genes to stratify glioblastoma patients into high and low-risk groups. Results: Patients categorized into the high-risk group based on the disulfidptosis-related gene signature exhibited a significantly reduced survival rate in comparison to those in the low-risk group. Functional analysis also revealed notable differences in the immune status between the two risk groups. Conclusion: In conclusion, a new disulfidptosis-related gene signature can be utilised to predict prognosis in GBM.https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136bioinformatic analysisdisulfidptosisglioblastomaprognosis |
| spellingShingle | Yuxia Zhang Bing Liu Yuelian Zhou A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients Future Science OA bioinformatic analysis disulfidptosis glioblastoma prognosis |
| title | A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients |
| title_full | A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients |
| title_fullStr | A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients |
| title_full_unstemmed | A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients |
| title_short | A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients |
| title_sort | novel disulfidptosis related gene signature predicts overall survival of glioblastoma patients |
| topic | bioinformatic analysis disulfidptosis glioblastoma prognosis |
| url | https://www.tandfonline.com/doi/10.2144/fsoa-2023-0136 |
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