Evidence map›Paper›PMID 36877634›Full record

ArticleBlood advances2023

Differential prognosis of single and multiple TP53 abnormalities in high-count MBL and untreated CLL.

Rosalie Griffin, Julia E Wiedmeier-Nutor, Sameer A Parikh, Chantal E McCabe, Daniel R O'Brien, Nicholas J Boddicker, Geffen Kleinstern, Kari G Rabe, Laura Bruins, Sochilt Brown and 11 more

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. ComplexInternational journal of molecular sciences · 2026
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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

21 authors at 3 institutions in 2 countries.

Rosalie GriffinDivision of Computational Biology, Mayo Clinic, Rochester, MN.ORCID 0000-0001-9437-8861
Julia E Wiedmeier-NutorDepartment of Hematology/Oncology, Mayo Clinic, Phoenix, AZ.
Sameer A ParikhDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-3221-7314
Chantal E McCabeDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN.ORCID 0000-0003-2786-5496
Daniel R O'BrienDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN.
Nicholas J BoddickerDivision of Computational Biology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-6784-2072
Geffen KleinsternDivision of Computational Biology, Mayo Clinic, Rochester, MN.
Kari G RabeDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN.ORCID 0000-0002-7313-1875
Laura BruinsDepartment of Hematology/Oncology, Mayo Clinic, Phoenix, AZ.
Sochilt BrownDepartment of Hematology/Oncology, Mayo Clinic, Phoenix, AZ.
Cecilia Bonolo de CamposDepartment of Hematology/Oncology, Mayo Clinic, Phoenix, AZ.
Wei DingDivision of Hematology, Mayo Clinic, Rochester, MN.
Jose F LeisDepartment of Hematology/Oncology, Mayo Clinic, Phoenix, AZ.
Paul J HampelDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0003-1292-3024
Timothy G CallDivision of Hematology, Mayo Clinic, Rochester, MN.
Daniel L Van DykeDivision of Hematology, Mayo Clinic, Rochester, MN.
Neil E KayDivision of Hematology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-5951-5055
James R CerhanDivision of Epidemiology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-7482-178X
Huihuang YanDivision of Computational Biology, Mayo Clinic, Rochester, MN.
Susan L SlagerDivision of Computational Biology, Mayo Clinic, Rochester, MN.ORCID 0000-0002-5173-4712
Esteban BraggioDepartment of Hematology/Oncology, Mayo Clinic, Phoenix, AZ.ORCID 0000-0003-3860-4830
Mayo Clinic · USWinnMed · USMayo Clinic in Florida · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Germline and Somatic Genomic Studies in CLL MinoritiesR01CA254951 · NCI · MAYO CLINIC ROCHESTER · PI BRAGGIO, ESTEBAN, SLAGER, SUSAN L · 2021 to 2025
$3.3M
Integration of germline and tumor genomes in CLLR01CA235026 · NCI · MAYO CLINIC ROCHESTER · PI BRAGGIO, ESTEBAN, SLAGER, SUSAN L · 2019 to 2023
$3.2M
Genetic Biomarkers for Risk of CLL Progression among high-count MBLsR21CA256648 · NCI · MAYO CLINIC ROCHESTER · PI KLEINSTERN, GEFFEN, SLAGER, SUSAN L · 2021 to 2022
$406k
Genetics of Common Cancers: Discovery to ImplementationK00CA234943 · NCI · MAYO CLINIC ROCHESTER · PI GRIFFIN, ROSALIE · 2020 to 2023
$391k
NCI NIH HHS K00 CA234943NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA235026NCI NIH HHS R01 CA254951NCI NIH HHS R21 CA256648
6 · The paper itself

Abstract

TP53 aberrations, including mutations and deletion of 17p13, are important adverse prognostic markers in chronic lymphocytic leukemia (CLL) but are less studied in high count monoclonal B-cell lymphocytosis (HCMBL), an asymptomatic pre-malignant stage of CLL. Here we estimated the prevalence and impact of TP53 aberrations in 1,230 newly diagnosed treatment-naïve individuals (849 CLL, 381 HCMBL). We defined TP53 state as: wild-type (no TP53 mutations and normal 17p), single-hit (del(17p) or one TP53 mutation), or multi-hit (TP53 mutation and del(17p), TP53 mutation and loss of heterozygosity, or multiple TP53 mutations). Cox regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for time to first treatment and overall survival by TP53 state. We found 64 (7.5%) CLL patients and 17 (4.5%) HCMBL individuals had TP53 mutations with variant allele fraction >10%. Del(17p) was present in 58 (6.8%) of CLL and 11 (2.9%) of HCMBL cases. Most individuals had wild-type (N=1,128, 91.7%) TP53 state, followed by multi-hit (N=55, 4.5%) and then single-hit (N=47, 3.8%) TP53 state. The risk of shorter time to therapy and death increased with the number of TP53 abnormalities. Compared to wild-type patients, multi-hit patients had 3-fold and single-hit patients had 1.5-fold increased risk of requiring therapy. Multi-hit patients also had 2.9-fold increased risk of death compared to wild-type. These results remained stable after accounting for other known poor prognostic factors. Both TP53 mutations and del(17p) may provide important prognostic information for HCMBL and CLL that would be missed if only one were measured.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellChromosome DeletionHumansMutationPrognosisTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID36877634
PMCPMC10338209
OpenAlexW4323295039

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.