Evidence map›Paper›PMID 27166259›Full record

ArticleOncotarget2016

Identification of a new gene regulatory circuit involving B cell receptor activated signaling using a combined analysis of experimental, clinical and global gene expression data.

Alexandra Schrader, Katharina Meyer, Neele Walther, Ailine Stolz, Maren Feist, Elisabeth Hand, Frederike von Bonin, Maurits Evers, Christian Kohler, Katayoon Shirneshan and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 11 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

18 authors at 6 institutions in 3 countries.

Alexandra SchraderDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Katharina MeyerDepartment of Statistical Bioinformatics, Institute for Functional Genomics, University of Regensburg, Regensburg, Germany.
Neele WaltherDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Ailine StolzGoettingen Center for Molecular Biosciences (GZMB) and University Medical Center, Institute of Molecular Oncology, Section for Cellular Oncology, Göttingen, Germany.
Maren FeistDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Elisabeth HandDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Frederike von BoninDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Maurits EversDepartment of Statistical Bioinformatics, Institute for Functional Genomics, University of Regensburg, Regensburg, Germany.
Christian KohlerDepartment of Statistical Bioinformatics, Institute for Functional Genomics, University of Regensburg, Regensburg, Germany.
Katayoon ShirneshanDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Martina VockerodtNetwork Molecular Mechanism of Malignant Lymphoma (MMML) of the Deutsche Krebshilfe, Germany.
Wolfram KlapperNetwork Molecular Mechanism of Malignant Lymphoma (MMML) of the Deutsche Krebshilfe, Germany.
Monika SzczepanowskiNetwork Molecular Mechanism of Malignant Lymphoma (MMML) of the Deutsche Krebshilfe, Germany.
Paul G MurraySchool of Cancer Sciences, University of Birmingham, Birmingham, UK.
Holger BastiansGoettingen Center for Molecular Biosciences (GZMB) and University Medical Center, Institute of Molecular Oncology, Section for Cellular Oncology, Göttingen, Germany.
Lorenz TrümperDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
Rainer SpangDepartment of Statistical Bioinformatics, Institute for Functional Genomics, University of Regensburg, Regensburg, Germany.
Dieter KubeDepartment of Haematology and Medical Oncology, University Medical Centre of the Georg-August University Göttingen, Göttingen, Germany.
University of Göttingen · DEUniversity of Regensburg · DEDeutsche Forschungsgemeinschaft · DEGerman Cancer Aid · DEUniversity of Birmingham · GBUniversity of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To discover new regulatory pathways in B lymphoma cells, we performed a combined analysis of experimental, clinical and global gene expression data. We identified a specific cluster of genes that was coherently expressed in primary lymphoma samples and suppressed by activation of the B cell receptor (BCR) through αIgM treatment of lymphoma cells in vitro. This gene cluster, which we called BCR.1, includes numerous cell cycle regulators. A reduced expression of BCR.1 genes after BCR activation was observed in different cell lines and also in CD10+ germinal center B cells. We found that BCR activation led to a delayed entry to and progression of mitosis and defects in metaphase. Cytogenetic changes were detected upon long-term αIgM treatment. Furthermore, an inverse correlation of BCR.1 genes with c-Myc co-regulated genes in distinct groups of lymphoma patients was observed. Finally, we showed that the BCR.1 index discriminates activated B cell-like and germinal centre B cell-like diffuse large B cell lymphoma supporting the functional relevance of this new regulatory circuit and the power of guided clustering for biomarker discovery.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksB-LymphocytesCell CycleCell Line, TumorCohort StudiesGene Expression ProfilingGerminal CenterHumansLymphocyte ActivationLymphoma, Large B-Cell, DiffuseProto-Oncogene Proteins c-bcl-6Proto-Oncogene Proteins c-mycReceptors, Antigen, B-CellSignal TransductionTumor MicroenvironmentMYC protein, humanProto-Oncogene Proteins c-bcl-6Proto-Oncogene Proteins c-mycReceptors, Antigen, B-CellB cell receptor signalingcell cycle delaychromosomal aberrationsguided clusteringlymphoma

Identifiers

PMID27166259
PMCPMC5216924
OpenAlexW2354160105

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.