| Autor: |
Kai-Xin Du, Yi-Fan Wu, Wei Hua, Zi-Wen Duan, Rui Gao, Jun-Heng Liang, Yue Li, Hua Yin, Jia-Zhu Wu, Hao-Rui Shen, Li Wang, Yang Shao, Jian-Yong Li, Jin-Hua Liang, Wei Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-16 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1478-811X |
| DOI: |
10.1186/s12964-024-01765-w |
| Popis: |
Abstract TP53 mutation (TP53-mut) correlates with inferior survival in many cancers, whereas its prognostic role in diffuse large B-cell lymphoma (DLBCL) is still in controversy. Therefore, more precise risk stratification needs to be further explored for TP53-mut DLBCL patients. A set of 2637 DLBCL cases from multiple cohorts, was enrolled in our analysis. Among the 2637 DLBCL patients, 14.0% patients (370/2637) had TP53-mut. Since missense mutations account for the vast majority of TP53-mut DLBCL patients, and most non-missense mutations affect the function of the P53 protein, leading to worse survival rates, we distinguished patients with missense mutations. A TP53 missense mutation risk model was constructed based on a 150-combination machine learning computational framework, demonstrating excellent performance in predicting prognosis. Further analysis revealed that patients with high-risk missense mutations are significantly associated with early progression and exhibit dysregulation of multiple immune and metabolic pathways at the transcriptional level. Additionally, the high-risk group showed an absolutely suppressed immune microenvironment. To stratify the entire cohort of TP53-mut DLBCL, we combined clinical characteristics and ultimately constructed the TP53 Prognostic Index (TP53PI) model. In summary, we identified the truly high-risk TP53-mut DLBCL patients and explained this difference at the mutation and transcriptional levels. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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