Evidence map›Paper›PMID 27544663›Full record

ArticleHistochemistry and cell biology2017

Tissue microarray technique is applicable to bone marrow biopsies of myeloproliferative neoplasms.

Kathrin A Limberger, Lioudmila Bogatyreva, Rumyana Todorova, Bettina Herde, Dieter Hauschke, Heike L Pahl, Martin Werner, Konrad Aumann

Abstract read
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In one paragraph

Article in Histochemistry and cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. In focus in HCB.Histochemistry and cell biology · 2017
    Article
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

8 authors at 1 institution in 1 country.

Kathrin A LimbergerInstitue for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 115a, 79106, Freiburg im Breisgau, Germany.
Lioudmila BogatyrevaInstitute for Medical Biometry and Medical Informatics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.
Rumyana TodorovaInstitue for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 115a, 79106, Freiburg im Breisgau, Germany.
Bettina HerdeInstitue for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 115a, 79106, Freiburg im Breisgau, Germany.
Dieter HauschkeInstitute for Medical Biometry and Medical Informatics, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.
Heike L PahlDepartment of Medicine I, Hematology, Oncology, and Stem- Cell Transplantation, Division of Molecular Hematology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany.
Martin WernerInstitue for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 115a, 79106, Freiburg im Breisgau, Germany.
Konrad AumannInstitue for Surgical Pathology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Strasse 115a, 79106, Freiburg im Breisgau, Germany. konrad.aumann@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0001-8178-1571
University of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue microarray (TMA) technique is an established high-throughput method to analyze multiple tissue specimens in parallel. However, in order to obtain reliable results from immunohistochemical analyses of TMA blocks, cell composition of TMA spots must correspond to whole tissue sections (WTS) particularly in tissues with a heterogeneous cell composition as it is the case in myeloproliferative neoplasms (MPN). The aim of this study was to validate TMA of bone marrow biopsies from MPN patients. TMAs of MPN bone marrow biopsies (ET: n = 26, PV: n = 26, and PMF: n = 29) were compiled in triplicates and MPN-specific histological parameters were assessed. Results of TMA spots were compared with WTS' results using the intra-class correlation coefficient (ICC). Immunohistochemical NFE2 and calreticulin stainings of the TMA with quantitative evaluation were performed. TMA construction was technically successful with a loss of 10 % of all spots. ICC calculation revealed high to moderate correlations of TMA with WTS, especially the parameters that are typically affected in MPN tissue, e.g. cellularity of hematopoiesis (ICC 0.62-0.89), number of megakaryocytes (ICC 0.50-0.71), micro-vessel density (ICC 0.56-0.91), or grade of myelofibrosis (ICC 0.56-0.89). Results of NFE2 and calreticulin immunohistochemistry of MPN TMAs are consistent with previously published data. Overall, our results show moderate to good correlation between histological data of WTS and TMA spots illustrating that the TMA technique is applicable to bone marrow biopsies of MPN patients. However, TMA construction in triplicates is necessary to reach sufficient correlation. MPN TMAs can be applied for serial immunohistochemical surveys of archived tissues to assess the mutation status or to further sub-classify MPN cases.

Indexed as

Tissue Array AnalysisAdultAgedAged, 80 and overBiopsyBone MarrowHumansMiddle AgedMyeloproliferative DisordersYoung AdultImmunohistochemistryMyeloproliferative neoplasmsTissue microarrayValidation

Identifiers

PMID27544663
OpenAlexW2512658893

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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.