Evidence map›Paper›PMID 40085954›Full record

ArticleBlood advances2025

Evidence-based risk stratification of myeloid neoplasms harboring TP53 mutations.

Mithun Vinod Shah, Kevin Hung, Anmol Baranwal, Monika M Kutyna, Aref Al-Kali, Carla Toop, Patricia Greipp, Anna Brown, Syed Shah, Shreyas Khanna and 27 more

Abstract read
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. MedComm · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Pandora's Box of AML: HowBiomedicines · 2025
    Review
  12. Review
  13. Molecular and Clinical Insights intoInternational journal of molecular sciences · 2025
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

37 authors.

Mithun Vinod ShahDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-5359-336X
Kevin HungDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.ORCID 0009-0001-9354-5864
Anmol BaranwalDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-3432-0489
Monika M KutynaDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.ORCID 0000-0003-2315-091X
Aref Al-KaliDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-0824-3715
Carla ToopDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.ORCID 0009-0005-6414-6441
Patricia GreippDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-5536-9011
Anna BrownCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.ORCID 0000-0002-9023-0138
Syed ShahDivision of Hematology, Mayo Clinic, Rochester, MN.
Shreyas KhannaDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.
Dariusz LadonDepartment of Genetic and Molecular Pathogy, SA Pathology, Adelaide, SA, Australia.
Vedavyas GannamaniDivision of Hematology, Mayo Clinic, Rochester, MN.
Dong ChenDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Kebede BegnaDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0003-2730-8593
Zoe K PriceAdelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia.
Danielle RudDivision of Hematology, Mayo Clinic, Rochester, MN.
Mark R LitzowDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-9816-6302
William J HoganDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-5841-4105
Peter BardyDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.
Talha BadarDepartment of Hematology/Oncology, Mayo Clinic, Jacksonville, FL.ORCID 0000-0003-1548-918X
Sharad KumarCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.ORCID 0000-0001-7126-9814
David T YeungDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.
Mrinal M PatnaikDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-6998-662X
James M ForanHematology/Oncology, Mayo Clinic, Scottsdale, AZ.
Rong HeDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-6116-8163
Naseema GangatDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-9104-6172
Hamish S ScottCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.ORCID 0000-0002-5813-631X
Cecilia Y Arana YiDepartment of Hematology/Oncology, Mayo Clinic, Jacksonville, FL.ORCID 0000-0001-5420-3514
Hassan AlkhateebDivision of Hematology, Mayo Clinic, Rochester, MN.
Abhishek A MangaonkarDivision of Hematology, Mayo Clinic, Rochester, MN.
Daniel ThomasDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.
Christopher N HahnCentre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia.ORCID 0000-0001-5105-2554
Attilio OraziDepartment of Pathology, Texas Tech University Health Sciences Center, El Paso, TX.
Daniel A ArberDepartment of Pathology, University of Chicago, Chicago, IL.ORCID 0000-0002-2160-9689
Chung Hoow KokAdelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-3181-7852
Ayalew TefferiDivision of Hematology, Mayo Clinic, Rochester, MN.
Devendra HiwaseDepartment of Haematology, Royal Adelaide Hospital, Central Adelaide Local Health Network, Adelaide, SA, Australia.ORCID 0000-0002-6666-3056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThis retrospective analysis aimed to provide evidence-based risk stratification of TP53-mutated (TP53mut) myeloid neoplasms (MNs). Of 580 MNs harboring TP53mut with variant allele frequency (VAF) ≥2%, 219 (37.8%), 194 (33.4%), 92 (15.9%), and 75 (12.9%) were classified as acute myeloid leukemia (AML), myelodysplastic syndrome (MDS) with low blasts (MDS-LB), MDS with excess blasts (MDS-EB)-2, and -EB1 according to the revised fourth edition of the World Health Organization (WHO) classification, respectively. Hierarchical analysis identified the following 4 risk groups with distinct survival: (1) MDS-LB, (2) MDS-EB1/EB2/AML VAF <10%, (3) MDS-EB1/EB2 VAF ≥10%, and (4) AML VAF ≥10%. We next evaluated the impact of allelic status, VAF, and complex karyotype (CK). In our cohort, the significance of biallelic status was limited to MDS with <5% blasts and not for blasts 5% to 9%, as proposed by the International Consensus Classification (ICC), or 5% to 19%, as proposed by the fifth edition of the WHO (WHO-5). MDS-EB1 and -EB2 with VAF ≥10% had comparable survival (9.6 vs 7.2 months; P = .12), regardless of allelic status. Contrary to the ICC proposal, MDS-EB1/EB2 with VAF <10% and CK had poor survival compared with those without CK, comparable to MDS-EB1/EB2 with VAF ≥10% (5.6 vs 26.2 vs 6.3 months; P = .003). Survival of TP53mut AML was poor (median 3.9 months) regardless of allelic/CK status. Thus, using ICC or WHO-5 may underestimate prognosis of MDS with blasts 5% to 19% and 5% to 9%, respectively. Collectively, the hierarchical model acknowledges poor survival of 91.9% TP53mut MDS and AML compared with 36.5% and 80.7% by WHO-5 and ICC, respectively.

Indexed as

Leukemia, Myeloid, AcuteMutationMyelodysplastic SyndromesTumor Suppressor Protein p53AdultAgedAged, 80 and overFemaleGene FrequencyHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID40085954
PMCPMC12277823

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Registered trials

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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.