Evidence map›Paper›PMID 24510338›Full record

ArticleHaematologica2014

The reliability of immunohistochemical analysis of the tumor microenvironment in follicular lymphoma: a validation study from the Lunenburg Lymphoma Biomarker Consortium.

Birgitta Sander, Daphne de Jong, Andreas Rosenwald, Wanling Xie, Olga Balagué, Maria Calaminici, Joaquim Carreras, Philippe Gaulard, John Gribben, Anton Hagenbeek and 12 more

Abstract read
In one paragraph

Article in Haematologica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Birgitta Sanderbirgitta.sander@ki.se.
Daphne de Jong
Andreas Rosenwald
Wanling Xie
Olga Balagué
Maria Calaminici
Joaquim Carreras
Philippe Gaulard
John Gribben
Anton Hagenbeek
Marie José Kersten
Thierry Jo Molina
Abigail Lee
Santiago Montes-Moreno
German Ott
John Raemaekers
Gilles Salles
Laurie Sehn
Christoph Thorns
Björn E Wahlin
Randy D Gascoyne
Edie Weller

Funding

Tissue CoreP01CA081534 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RASSENTI, LAURA Z · 2000 to 2016
$59.5M
NCI NIH HHS P01 CA081534
6 · The paper itself

Abstract

The cellular microenvironment in follicular lymphoma is of biological and clinical importance. Studies on the clinical significance of non-malignant cell populations have generated conflicting results, which may partly be influenced by poor reproducibility in immunohistochemical marker quantification. In this study, the reproducibility of manual scoring and automated microscopy based on a tissue microarray of 25 follicular lymphomas as compared to flow cytometry is evaluated. The agreement between manual scoring and flow cytometry was moderate for CD3, low for CD4, and moderate to high for CD8, with some laboratories scoring closer to the flow cytometry results. Agreement in manual quantification across the 7 laboratories was low to moderate for CD3, CD4, CD8 and FOXP3 frequencies, moderate for CD21, low for MIB1 and CD68, and high for CD10. Manual scoring of the architectural distribution resulted in moderate agreement for CD3, CD4 and CD8, and low agreement for FOXP3 and CD68. Comparing manual scoring to automated microscopy demonstrated that manual scoring increased the variability in the low and high frequency interval with some laboratories showing a better agreement with automated scores. Manual scoring reliably identified rare architectural patterns of T-cell infiltrates. Automated microscopy analyses for T-cell markers by two different instruments were highly reproducible and provided acceptable agreement with flow cytometry. These validation results provide explanations for the heterogeneous findings on the prognostic value of the microenvironment in follicular lymphoma. We recommend a more objective measurement, such as computer-assisted scoring, in future studies of the prognostic impact of microenvironment in follicular lymphoma patients.

Indexed as

Tumor MicroenvironmentAntigens, CDBiomarkers, TumorFlow CytometryForkhead Transcription FactorsHumansImmunohistochemistryImmunophenotypingLymphocytes, Tumor-InfiltratingLymphoma, FollicularReproducibility of ResultsT-Lymphocyte SubsetsAntigens, CDBiomarkers, TumorForkhead Transcription FactorsFOXP3 protein, human

Identifiers

PMID24510338
PMCPMC3971082

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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.