Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer
Abstract This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibit...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84300-8 |
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| _version_ | 1841559779021946880 |
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| author | Rui Li Sha He Ting Qin Yanyan Ma Kunyao Xu Shan Liu Wei Zhan |
| author_facet | Rui Li Sha He Ting Qin Yanyan Ma Kunyao Xu Shan Liu Wei Zhan |
| author_sort | Rui Li |
| collection | DOAJ |
| description | Abstract This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count. The prognostic genes are involved in various biological processes and pathways, influence T cell differentiation, and may contribute to CRC development. High-risk patients show a higher degree of immune cell infiltration. This model aids in the early diagnosis, prognosis assessment, and treatment planning for CRC, and offers a direction for further research. |
| format | Article |
| id | doaj-art-f67add10ee7e47e4b6285fdd71666d8d |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-f67add10ee7e47e4b6285fdd71666d8d2025-01-05T12:13:56ZengNature PortfolioScientific Reports2045-23222025-01-0115111310.1038/s41598-024-84300-8Glycosylation gene expression profiles enable prognosis prediction for colorectal cancerRui Li0Sha He1Ting Qin2Yanyan Ma3Kunyao Xu4Shan Liu5Wei Zhan6Department of Rehabilitation, Beijing Jishuitan Hospital Guizhou HospitalDepartment of Rehabilitation, Beijing Jishuitan Hospital Guizhou HospitalDepartment of Rehabilitation, Beijing Jishuitan Hospital Guizhou HospitalDepartment of Rehabilitation, Beijing Jishuitan Hospital Guizhou HospitalDepartment of Geriatrics, The Second Affiliated Hospital of Guizhou, University of Traditional Chinese MedicineThe Second Clinical School of Guizhou, University of Traditional Chinese MedicineDepartment of Anus and Intestine Surgery, The Affiliated Hospital of Guizhou Medical UniversityAbstract This study developed a prognostic model for patients with colon adenocarcinoma (COAD) based on glycosylation-associated genes. By analyzing TCGA-COAD data, 110 key genes were identified, and a prognostic model incorporating five glycosylation-related genes was constructed. The model exhibits good predictive performance and is significantly associated with clinical features such as age, N stage, M stage, and lymph node count. The prognostic genes are involved in various biological processes and pathways, influence T cell differentiation, and may contribute to CRC development. High-risk patients show a higher degree of immune cell infiltration. This model aids in the early diagnosis, prognosis assessment, and treatment planning for CRC, and offers a direction for further research.https://doi.org/10.1038/s41598-024-84300-8Colon cancerBio-informaticsPrognosticSingle cell |
| spellingShingle | Rui Li Sha He Ting Qin Yanyan Ma Kunyao Xu Shan Liu Wei Zhan Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer Scientific Reports Colon cancer Bio-informatics Prognostic Single cell |
| title | Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer |
| title_full | Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer |
| title_fullStr | Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer |
| title_full_unstemmed | Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer |
| title_short | Glycosylation gene expression profiles enable prognosis prediction for colorectal cancer |
| title_sort | glycosylation gene expression profiles enable prognosis prediction for colorectal cancer |
| topic | Colon cancer Bio-informatics Prognostic Single cell |
| url | https://doi.org/10.1038/s41598-024-84300-8 |
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