ArticleCell communication and signaling : CCS2024
Identify truly high-risk TP53-mutated diffuse large B cell lymphoma patients and explore the underlying biological mechanisms.
Article in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence for Risk Stratification in Diffuse Large B-Cell Lymphoma: A Systematic Review of Classification Models and Predictive Performances.Medical sciences (Basel, Switzerland) · 2025Pooled it
- R-MINE-containing regimen in relapsed and refractory diffuse large B-cell lymphoma: a single-arm, multicenter phase II study.BMC medicine · 2026Trial
- Therapeutic outcomes of TP53-mutated diffuse large B cell lymphoma: A systematic review and meta-analysis.iScience · 2026Article
- A53-Adapted Decitabine-Containing R-CHOP in Newly Diagnosed Diffuse Large B-Cell Lymphoma Defined by LymphGen: Preliminary Results of a Prospective Proof-of-Concept Study.Journal of clinical medicine · 2026Article
- Article
- Optimized interpretation of p53 immunohistochemistry for prediction of TP53 mutations and patient survival in DLBCL.Clinical and experimental medicine · 2026Article
- A dual-mechanism model of Selinexor in DLBCL: p53 reactivation and metabolic reprogramming.Journal of translational medicine · 2026Article
- Dual-utility ctDNA in diffuse large B-cell lymphoma: integrated genotyping unveils minimal residual disease dynamics and subtype-specific clonal evolution.BMC medicine · 2026Article
- TP53 CpG Site Mutations Predict the Survival of First-Line Chemoimmunotherapy in Advanced Lung Adenocarcinoma.Thoracic cancer · 2026Observational
- Long-term follow-up demonstrates the curative potential of dual CD19/CD22 CAR-T-cell therapy alone or combined with autologous stem cell transplantation in TP53-altered relapsed/refractory B-cell non-Hodgkin lymphoma.Signal transduction and targeted therapy · 2026Article
- Prognostic impact of TP53 mutations in diffuse large B-cell lymphoma.Annals of hematology · 2026Article
- TP53 mutation predict poor prognosis in diffuse large B-cell lymphoma: a single-center study.Annals of hematology · 2026Article
- Epstein-barr virus-encoded small RNA incorporated prognostic model enables precision risk stratification and guides treatment decisions in peripheral t-cell lymphoma: a multicenter retrospective cohort.Annals of hematology · 2025Article
- Overcoming CAR-T bottlenecks in high-risk DLBCL: a molecular subtyping enhancement strategy.Cancer cell international · 2025Review
- Correlation ofCurrent oncology (Toronto, Ont.) · 2025Article
- CAR-T cell therapy in TP53-mutated CNS lymphoma: overcoming a high-risk genetic barrier.Frontiers in medicine · 2025Article
- Polatuzumab vedotin-R-CHP used for high-risk EBV-negative DLBCL-type post-transplant lymphoproliferative disorder in a long-term kidney transplant recipient: a case report.Frontiers in oncology · 2025Article
- Case report of two patients with refractory HIV-related B-cell lymphoma treated with the monoclonal antibody glofitamab for secondary central nervous system involvement.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
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.
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