التفاصيل البيبلوغرافية
| العنوان: |
Prognosis prediction based on methionine metabolism genes signature in gliomas. |
| المؤلفون: |
Zhou, Sujin1 (AUTHOR), Zhao, Xianan1 (AUTHOR), Zhang, Shiwei1 (AUTHOR), Tian, Xue1 (AUTHOR), Wang, Xuepeng1 (AUTHOR), Mu, Yunping1 (AUTHOR), Li, Fanghong1 (AUTHOR), Zhao, Allan Z.1 (AUTHOR), Zhao, Zhenggang1 (AUTHOR) zhaozg@gdut.edu.cn |
| المصدر: |
BMC Medical Genomics. 12/6/2023, Vol. 16 Issue 1, p1-13. 13p. |
| مصطلحات موضوعية: |
*METHIONINE metabolism, *GLIOMAS, *REGRESSION analysis, *PROGNOSIS, *PROGNOSTIC models |
| مستخلص: |
Background: Glioma cells have increased intake and metabolism of methionine, which can be monitored with 11 C-L-methionine. However, a short half-life of 11 C (~ 20 min) limits its application in clinical practice. It is necessary to develop a methionine metabolism genes-based prediction model for a more convenient prediction of glioma survival. Methods: We evaluated the patterns of 29 methionine metabolism genes in glioma from the Cancer Genome Atlas (TCGA). A risk model was established using Lasso regression analysis and Cox regression. The reliability of the prognostic model was validated in derivation and validation cohorts (Chinese Glioma Genome Atlas; CGGA). GO, KEGG, GSEA and ESTIMATE analyses were performed for biological functions and immune characterization. Results: Our results showed that a majority of the methionine metabolism genes (25 genes) were involved in the overall survival of glioma (logrank p and Cox p < 0.05). A 7-methionine metabolism prognostic signature was significantly related to a poor clinical prognosis and overall survival of glioma patients (C-index = 0.83). Functional analysis revealed that the risk model was correlated with immune responses and with epithelial-mesenchymal transition. Furthermore, the nomogram integrating the signature of methionine metabolism genes manifested a strong prognostic ability in the training and validation groups. Conclusions: The current model had the potential to improve the understanding of methionine metabolism in gliomas and contributed to the development of precise treatment for glioma patients, showing a promising application in clinical practice. [ABSTRACT FROM AUTHOR] |
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