Evidence map›Paper›PMID 41735484›Full record

ArticleLeukemia2026

Risk stratification of patients with TP53-mutated myeloproliferative neoplasms.

Benjamin Rolles, Cilomar Martins de Oliveira Filho, Nathan Fergusson, Jan Philipp Bewersdorf, Julia Keating, Cecelia Perkins, Matthew Schwede, James England, Marlise R Luskin, Daniel J DeAngelo and 17 more

Abstract read
In one paragraph

Article in Leukemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

27 authors.

Benjamin Rolles *Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7393-861X
Cilomar Martins de Oliveira Filho *Division of Hematology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-3317-0837
Nathan FergussonDepartment of Medicine, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Jan Philipp BewersdorfDepartment of Internal Medicine, Section of Medical Oncology and Hematology, Yale University School of Medicine and Yale Cancer Center, New Haven, CT, USA.ORCID 0000-0003-3352-0902
Julia KeatingDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA, USA.
Cecelia PerkinsDivision of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Matthew SchwedeDivision of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-0778-9230
James EnglandDepartment of Medicine, Princess Margaret Cancer Centre, Toronto, ON, Canada.ORCID 0000-0002-9692-1634
Marlise R LuskinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0002-5781-4529
Daniel J DeAngeloDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-7865-2306
Shai ShimonyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-7245-9652
Mifra FaizDivision of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Addison C HillerbrandDivision of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Chulwoo KimDivision of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Lachelle D WeeksDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID 0000-0001-8726-6212
Lauren WaldmanDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Mohammed WazirDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Joan HowDivision of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-6421-0117
Anna E MarnethDivision of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-9065-0581
Yiwen LiuDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA, USA.
Martin J AryeeDepartment of Data Science, Dana Farber Cancer Institute, Boston, MA, USA.
Raajit RampalDepartment of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.
Harrison K TsaiDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Jason GotlibDivision of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-8253-6156
Vikas GuptaDepartment of Medicine, Princess Margaret Cancer Centre, Toronto, ON, Canada.ORCID 0000-0002-1419-8607
Maximilian StahlDepartment of Internal Medicine, Section of Medical Oncology and Hematology, Yale University School of Medicine and Yale Cancer Center, New Haven, CT, USA. maximilian.stahl@yale.edu.
Ann MullallyDivision of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. amullal@stanford.edu.ORCID 0000-0001-9727-8495

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Functional and Molecular Dissection of Mutant Calreticulin in Myeloproliferative NeoplasmsR01HL131835 · NHLBI · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI Ann Mullally · 2016 to 2026
$4.1M
Elucidating Mechanisms of Therapy-Resistance to Interferon-alfa in Myeloproliferative Neoplasm Stem Cells - Diversity SupplementR01HL167139 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Ann Mullally, Seung Ha Nam · 2023 to 2026
$2.8M
Inflammatory Disease Associations in Clonal HematopoiesisK08HL171883 · NHLBI · DANA-FARBER CANCER INST · PI Lachelle Dawn Weeks · 2024 to 2026
$495k
Deutsche Krebshilfe (German Cancer Aid) Mildred-Scheel scholarship No.70114570NCI NIH HHS P30 CA008748NHLBI NIH HHS K08 HL171883NHLBI NIH HHS R01 HL131835NHLBI NIH HHS R01 HL167139Starr Foundation I15-0026U.S. Department of Defense (United States Department of Defense) W81XWH2110909U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HL131835, R01 HL167139
6 · The paper itself

Abstract

While TP53 mutations in myeloproliferative neoplasms (MPN) are associated with an increased risk of leukemic transformation, not all patients carrying a TP53 mutation progress. To better risk-stratify MPN patients with TP53 mutations, we analyzed data from 1540 patients treated at four specialized cancer centers. Among them, 1429 had wildtype TP53 and 111 had mutations in the TP53 gene. At first MPN diagnosis, 32% had polycythemia vera, 39% had essential thrombocythemia, and 25% had primary myelofibrosis. Among all MPN patients with TP53 mutations, presence of fibrosis in the bone marrow (hazard ratio (HR): 3.84, 95% CI: 1.98-7.43), multi-hit TP53 mutation status (HR: 2.74, 95% confidence interval (CI): 1.52-4.97), and higher PHANTM score (HR: 1.87, 95% CI: 1.02-3.42) were associated with worse OS in a multivariable analysis. Based on these variables, we developed a risk model to identify TP53-mutated MPN patients who are at high risk for inferior OS. Median OS from time of TP53 detection was 0.5 years in high-risk patients, compared to 2.3 years for patients with intermediate risk and 6.3 years for patients with low risk. This scoring system may help refine risk stratification for chronic phase MPN patients harboring TP53 aberrations.

Indexed as

MutationMyeloproliferative DisordersTumor Suppressor Protein p53AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRisk AssessmentTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID41735484
PMCPMC13143329

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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.