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Original Article
Prognostic Landscape of TP53 Mutations in Hematologic Malignancies
Seo Yoon Jang1orcid , Joowon Jang2, Jee-Soo Lee2, Moon-Woo Seong2,4, Songyi Park3, Ja Min Byun1,4, Youngil Koh1,4,5, Junshik Hong1,4,5, Inho Kim1,4, Sung-Soo Yoon1,4,5, Dong-Yeop Shin1,4,5orcid

DOI: https://doi.org/10.4143/crt.2025.297 [Accepted]
Published online: May 27, 2025
1Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
2Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea
3Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea
4Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
5Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
Corresponding author:  Dong-Yeop Shin
Tel: 82-2-2072-7209 
Email: shindongyeop@snu.ac.kr
Received: 15 March 2025   • Accepted: 20 May 2025
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Purpose
While 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 Methods
Using 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.
Results
TP53 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.
Conclusion
Our findings highlight VAF and RFS as valuable tools for stratifying TP53-mutant patients into high-risk and low-risk groups.

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