Evidence map›Paper›PMID 37851120›Full record

ArticleVirchows Archiv : an international journal of pathology2024

Real-world routine diagnostic molecular analysis for TP53 mutational status is recommended over p53 immunohistochemistry in B-cell lymphomas.

Lorraine M de Haan, Ruben A L de Groen, Fleur A de Groot, Troy Noordenbos, Tom van Wezel, Ronald van Eijk, Dina Ruano, Arjan Diepstra, Lianne Koens, Alina Nicolae-Cristea and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
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  8. Your chemo is no good here: management of high-risk MCL.Hematology. American Society of Hematology. Education Program · 2024
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  9. Deep learning algorithm on H&E whole slide images to characterizeComputational and structural biotechnology journal · 2024
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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

19 authors at 7 institutions in 1 country.

Lorraine M de HaanDepartment of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands. l.m.de_haan@lumc.nl.ORCID http://orcid.org/0000-0002-6799-9766
Ruben A L de GroenDepartment of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Fleur A de GrootDepartment of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Troy NoordenbosDepartment of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
Tom van WezelDepartment of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
Ronald van EijkDepartment of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
Dina RuanoDepartment of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
Arjan DiepstraDepartment of Pathology, University Medical Center Groningen, Groningen, The Netherlands.
Lianne KoensDepartment of Pathology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Alina Nicolae-CristeaDepartment of Pathology, Haga Hospital, The Hague, The Netherlands.
Wietske C E den HartogDepartment of Pathology, Alrijne Hospital, Leiden, The Netherlands.
Valeska TerpstraDepartment of Pathology, Haaglanden Medical Centrum, The Hague, The Netherlands.
Els AhsmannDepartment of Pathology, Groene Hart Ziekenhuis, Gouda, The Netherlands.
Tim J A DekkerDepartment of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Aniko Sijs-SzaboDepartment of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Hendrik VeelkenDepartment of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Arjen H G ClevenDepartment of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
Patty M Jansen *Department of Pathology, Leiden University Medical Center, L1-Q, P.O. box 9600, 2300RC, Leiden, The Netherlands.
Joost S P Vermaat *Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLUniversity Medical Center Groningen · NLAlrijne Ziekenhuis · NLAmsterdam University Medical Centers · NLGroene Hart Ziekenhuis · NLHaga Hospital · NLMedisch Centrum Haaglanden · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies in patients with mature B-cell lymphomas (MBCL) have shown that pathogenic TP53 aberrations are associated with inferior chemotherapeutic efficacy and survival outcomes. In solid malignancies, p53 immunohistochemistry is commonly used as a surrogate marker to assess TP53 mutations, but this correlation is not yet well-established in lymphomas. This study evaluated the accuracy of p53 immunohistochemistry as a surrogate marker for TP53 mutational analysis in a large real-world patient cohort of 354 MBCL patients within routine diagnostic practice. For each case, p53 IHC was assigned to one of three categories: wild type (staining 1-50% of tumor cells with variable nuclear staining), abnormal complete absence or abnormal overexpression (strong and diffuse staining > 50% of tumor cells). Pathogenic variants of TP53 were identified with a targeted next generation sequencing (tNGS) panel. Wild type p53 expression was observed in 267 cases (75.4%), complete absence in twenty cases (5.7%) and the overexpression pattern in 67 cases (18.9%). tNGS identified a pathogenic TP53 mutation in 102 patients (29%). The overall accuracy of p53 IHC was 84.5% (95% CI 80.3-88.1), with a robust specificity of 92.1% (95% CI 88.0- 95.1), but a low sensitivity of 65.7% (95% CI 55.7-74.8). These results suggest that the performance of p53 IHC is insufficient as a surrogate marker for TP53 mutations in our real-world routine diagnostic workup of MBCL patients. By using p53 immunohistochemistry alone, there is a significant risk a TP53 mutation will be missed, resulting in misevaluation of a high-risk patient. Therefore, molecular analysis is recommended in all MBCL patients, especially for further development of risk-directed therapies based on TP53 mutation status.

Indexed as

Biomarkers, TumorImmunohistochemistryLymphoma, B-CellMutationTumor Suppressor Protein p53AdultAgedAged, 80 and overDNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedReproducibility of ResultsYoung AdultBiomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53B-cell lymphomaHematopathologyImmunohistochemistryMolecular diagnosticsTargeted therapy

Identifiers

PMID37851120
PMCPMC11522076
OpenAlexW4387729168

What OpenQuestion holds

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LicenceCC BY
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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.