ArticleCancer research and treatment2026
Prognostic Landscape of TP53 Mutations in Hematologic Malignancies.
Article in Cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- CD56 negativity is associated with worse survival outcomes in patients with multiple myeloma: a meta-analysis.World journal of surgical oncology · 2026Pooled it
- Distinct immunophenotypic and clinical features of TP53-mutated acute myeloid leukemia: high CD34/CD41 expression and lower leukocyte counts.Annals of hematology · 2026Article
- Biology of p53 protein isoforms and their significance in hematological malignancies.Frontiers in oncology · 2026Review
- Case Report: Short-term disease control with subsequent icotinib therapy in EGFR L858R/C797S, T790M-negative lung adenocarcinoma after osimertinib resistance.Frontiers in oncology · 2026Article
- Functional heterogeneity of TP53 mutants in venetoclax-resistant AML: mechanisms, clinical implications, and therapeutic opportunities.Frontiers in oncology · 2026Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWhile TP53 mutations are well known to be associated with adverse prognosis in hematological diseases, their functional impact remains incompletely understood. This study examines the spectrum of TP53 mutations across various hematologic malignancies and evaluates their functional impact. MATERIALS AND
methodsUsing targeted sequencing panels, we analyzed TP53 mutations in the bone marrow aspiration samples of a retrospective cohort of 856 patients diagnosed with hematologic malignancies. To assess the impact of TP53 mutations, we applied the evolutionary action (EAp53) score and the relative fitness score (RFS), previously proposed functional scoring methods. The effects of variant allele frequency (VAF), disruptive mutations, EAp53 score, and RFS on overall survival (OS) were evaluated.
resultsTP53 mutations were associated with inferior OS compared with wildtype TP53 (median OS 10.0 months versus not estimable; hazard ratio (HR) 4.6; p<0.001). In the acute myeloid leukemia, multiple myeloma, and myelodysplastic syndrome subgroups, TP53 mutations had a significant adverse impact on OS. (HRs 3.8, 4.2, 6.0, respectively; p<0.001, p=0.005, p<0.001, respectively). Patients with VAF >50% had significantly poorer OS compared to those with VAF ≤50% (median OS 7.5 months versus 22.8 months; HR 2.2, p=0.016). Moreover, patients in the high-risk RFS group (RFS >0.22) had significantly worse OS compared to those in the low-risk RFS group (RFS ≤0.22) (median OS 5.6 months versus 16.3 months; HR 2.2, p=0.041). However, no significant survival difference was observed between the EAp53 high-risk (>75) and low-risk (≤75) groups, or between patients with disruptive and non-disruptive mutations.
conclusionOur findings highlight VAF and RFS as valuable tools for stratifying TP53-mutant patients into high-risk and low-risk groups.
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