Evidence map›Paper›PMID 32839159›Full record

ArticleJournal of clinical pathology2020

Immunohistochemistry with anti-MAL antibody and RNAscope with MAL probes are complementary techniques for diagnosis of primary mediastinal large B-cell lymphoma.

Anthony Jacquier, Charlotte Syrykh, Isabelle Bedgedjian, Franck Monnien, Camille Laurent, Séverine Valmary-Degano, Pierre Brousset

Open access · hybridAbstract read
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Article in Journal of clinical pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Anthony JacquierDepartment of Pathology, University Hospital of Besancon, Besancon, France.ORCID http://orcid.org/0000-0002-8326-6212
Charlotte SyrykhDepartment of Pathology, Cancer University Institute of Toulouse, Toulouse, France.
Isabelle BedgedjianDepartment of Pathology, University Hospital of Besancon, Besancon, France.
Franck MonnienDepartment of Pathology, University Hospital of Besancon, Besancon, France.
Camille LaurentDepartment of Pathology, Cancer University Institute of Toulouse, Toulouse, France.
Séverine Valmary-DeganoDepartment of Pathology, University Hospital of Besancon, Besancon, France.
Pierre BroussetDepartment of Pathology, Cancer University Institute of Toulouse, Toulouse, France brousset.p@chu-toulouse.fr.
Centre Hospitalier Universitaire de Besançon · FRInstitut universitaire du cancer de Toulouse Oncopole · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPrimary mediastinal large B-cell lymphoma (PMBL) diagnosis can be challenging on needle biopsies. Robust techniques are needed to ensure diagnosis of this lymphoma which is highly sensitive to recently developed therapy protocols.

methodsIn this study, we sought to determine precise PMBL phenotype, compared with diffuse large B-cell lymphoma not otherwise specified, by combining immunohistochemistry with anti-MAL antibody and RNA in situ hybridisation (RNAscope) with specific MAL probes.

resultsThe overall MAL positivity level reached 93% (14/15) of cases of PMBL. Among the 15 cases enrolled in the study, 11 were undoubtedly positive for MAL immunostaining whereas 13 were positive by RNA in situ hybridisation. Interestingly, one case that was negative by in situ hybridisation turned out to be positive by immunohistochemistry.

conclusionsTaken together, our results demonstrate that in situ detection of both

Indexed as

immunohistochemistryin situ hybridisationlymphoma

Identifiers

PMID32839159
PMCPMC8142454
OpenAlexW3080655032

What OpenQuestion holds

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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.