Evidence map›Paper›PMID 40441759›Full record

ArticleCancer research and treatment2026

Prognostic Landscape of TP53 Mutations in Hematologic Malignancies.

Seo Yoon Jang, Joowon Jang, Jee-Soo Lee, Moon-Woo Seong, Songyi Park, Ja Min Byun, Youngil Koh, Junshik Hong, Inho Kim, Sung-Soo Yoon and 1 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Seo Yoon JangDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Joowon JangDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea.
Jee-Soo LeeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea.
Moon-Woo SeongDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea.
Songyi ParkDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea.
Ja Min ByunDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Youngil KohDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Junshik HongDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Inho KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Sung-Soo YoonDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Dong-Yeop ShinDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biomarkers, TumorHematologic NeoplasmsMutationTumor Suppressor Protein p53AdultAgedAged, 80 and overFemaleGene FrequencyHumansMaleMiddle AgedPrognosisRetrospective StudiesYoung AdultBiomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53DNAGenesHematologic neoplasmsp53Sequence analysis

Identifiers

PMID40441759
PMCPMC13093014

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.