Evidence map›Paper›PMID 27171398›Full record

ArticlePloS one2016

Microarray Gene Expression Analysis to Evaluate Cell Type Specific Expression of Targets Relevant for Immunotherapy of Hematological Malignancies.

M J Pont, M W Honders, A N Kremer, C van Kooten, C Out, P S Hiemstra, H C de Boer, M J Jager, E Schmelzer, R G Vries and 8 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  3. Review
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  5. Article
  6. Article
  7. A broad and systematic approach to identify B cell malignancy-targeting TCRs for multi-antigen-based T cell therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Preclinical Strategies to Identify Off-Target Toxicity of High-Affinity TCRs.Molecular therapy : the journal of the American Society of Gene Therapy · 2018
    Article
  14. 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

18 authors.

M J PontDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0002-5934-9990
M W HondersDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
A N KremerDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
C van KootenDepartment of Nephrology, Leiden University Medical Center, Leiden, the Netherlands.
C OutDepartment of Dermatology, Leiden University Medical Center, Leiden, the Netherlands.
P S HiemstraDepartment of Pulmonology, Leiden University Medical Center, Leiden, the Netherlands.
H C de BoerDepartment of Nephrology and the Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, the Netherlands.
M J JagerDepartment of Ophthalmology, Leiden University Medical Center, Leiden, The Netherlands.
E SchmelzerMcGowan Institute for Regenerative Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
R G VriesHubrecht Institute for Developmental Biology and Stem Cell Research and University Medical Centre Utrecht, Utrecht, the Netherlands.
A S Al HinaiDepartment of Hematology, Erasmus University Medical Center Cancer Institute, Rotterdam, the Netherlands.
W G KroesDepartment of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands.
R MonajemiDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
J J GoemanDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
S BöhringerDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands.
W A F MarijtDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
J H F FalkenburgDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
M GriffioenDepartment of Hematology, Leiden University Medical Center, Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate potential efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. We performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN-γ to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlations between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers.

Indexed as

Gene Expression Regulation, NeoplasticImmunotherapyOligonucleotide Array Sequence AnalysisCell Line, TumorFibroblastsHematologic NeoplasmsHematopoietic Stem CellsHumansHuman Umbilical Vein Endothelial CellsInflammationInterferon-gammaReal-Time Polymerase Chain ReactionRegression AnalysisReproducibility of ResultsSkinT-LymphocytesInterferon-gamma

Identifiers

PMID27171398
PMCPMC4865094

What OpenQuestion holds

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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.