Evidence map›Paper›PMID 28011673›Full record

ArticleBlood2017

Distinct patterns of B-cell receptor signaling in non-Hodgkin lymphomas identified by single-cell profiling.

June H Myklebust, Joshua Brody, Holbrook E Kohrt, Arne Kolstad, Debra K Czerwinski, Sébastien Wälchli, Michael R Green, Gunhild Trøen, Knut Liestøl, Klaus Beiske and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

59 citing papers in PubMed, 80 citations in OpenAlex.

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  9. Epstein-Barr virus BALF0/1 subverts the Caveolin and ERAD pathways to target B cell receptor complexes for degradation.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

15 authors at 8 institutions in 4 countries.

June H MyklebustOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Joshua BrodyOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Holbrook E KohrtOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Arne KolstadCancer Clinic, Department of Oncology, and.
Debra K CzerwinskiOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Sébastien WälchliDepartment of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Michael R GreenOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Gunhild TrøenCancer Clinic, Department of Pathology, Oslo University Hospital, Oslo, Norway.
Knut LiestølCenter for Cancer Biomedicine, University of Oslo, Oslo, Norway.
Klaus BeiskeCancer Clinic, Department of Pathology, Oslo University Hospital, Oslo, Norway.
Roch HouotService d'Hématologie Clinique, Centre Hospitalier Universitaire de Rennes, Rennes, France.
Jan DelabieLaboratory Medicine and Pathology, University of Toronto, Toronto, ON, Canada; and.
Ash A AlizadehOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Jonathan M IrishOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Ronald LevyOncology Division, Department of Medicine, Stanford University, Stanford, CA.
Stanford University · USOslo University Hospital · NOCancer Clinic · USIcahn School of Medicine at Mount Sinai · USUniversité de Rennes · FRUniversity of Oslo · NOUniversity of Toronto · CAVanderbilt University · US

Funding

TRIGGERING CELL DEATH IN B CELL LYMPHOMAP01CA034233 · NCI · STANFORD UNIVERSITY · PI FELSHER, DEAN W · 1985 to 2010
$19.5M
Enhancing Cancer Immunotherapy: Targeting the Tumor and Targeting the HostR35CA197353 · NCI · STANFORD UNIVERSITY · PI LEVY, RONALD · 2016 to 2022
$6.1M
ANTIIDIOTYPE THERAPY OF HUMAN B CELL MALIGNANCYR37CA033399 · NCI · STANFORD UNIVERSITY · PI LEVY, RONALD · 1988 to 2007
$4.5M
Modeling the Molecular Determinants of Induced Anti-Tumor Immune Responses in Mantle Cell LymphomaU01CA194389 · NCI · STANFORD UNIVERSITY · PI ALIZADEH, ASH ARASH, DAVIS, MARK MORRIS · 2015 to 2019
$3.1M
Computational Modeling of Cancer BiologyU56CA112973 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2004 to 2009
$2.9M
Targeting the B Cell Receptor Signaling Network in LymphomaR00CA143231 · NCI · VANDERBILT UNIVERSITY · PI IRISH, JONATHAN MICHAEL · 2012 to 2014
$715k
Targeting the B Cell Receptor Signaling Network in LymphomaK99CA143231 · NCI · STANFORD UNIVERSITY · PI IRISH, JONATHAN MICHAEL · 2009 to 2009
$136k
NCI NIH HHS K99 CA143231NCI NIH HHS P01 CA034233NCI NIH HHS R00 CA143231NCI NIH HHS R35 CA197353NCI NIH HHS R37 CA033399NCI NIH HHS U01 CA194389NCI NIH HHS U56 CA112973
6 · The paper itself

Abstract

Kinases downstream of B-cell antigen receptor (BCR) represent attractive targets for therapy in non-Hodgkin lymphoma (NHL). As clinical responses vary, improved knowledge regarding activation and regulation of BCR signaling in individual patients is needed. Here, using phosphospecific flow cytometry to obtain malignant B-cell signaling profiles from 95 patients representing 4 types of NHL revealed a striking contrast between chronic lymphocytic leukemia (CLL) and mantle cell lymphoma (MCL) tumors. Lymphoma cells from diffuse large B-cell lymphoma patients had high basal phosphorylation levels of most measured signaling nodes, whereas follicular lymphoma cells represented the opposite pattern with no or very low basal levels. MCL showed large interpatient variability in basal levels, and elevated levels for the phosphorylated forms of AKT, extracellular signal-regulated kinase, p38, STAT1, and STAT5 were associated with poor outcome. CLL tumors had elevated basal levels for the phosphorylated forms of BCR-signaling nodes (Src family tyrosine kinase, spleen tyrosine kinase [SYK], phospholipase Cγ), but had low α-BCR-induced signaling. This contrasted MCL tumors, where α-BCR-induced signaling was variable, but significantly potentiated as compared with the other types. Overexpression of CD79B, combined with a gating strategy whereby signaling output was directly quantified per cell as a function of CD79B levels, confirmed a direct relationship between surface CD79B, immunoglobulin M (IgM), and IgM-induced signaling levels. Furthermore, α-BCR-induced signaling strength was variable across patient samples and correlated with BCR subunit CD79B expression, but was inversely correlated with susceptibility to Bruton tyrosine kinase (BTK) and SYK inhibitors in MCL. These individual differences in BCR levels and signaling might relate to differences in therapy responses to BCR-pathway inhibitors.

Indexed as

Gene Expression Regulation, NeoplasticAgammaglobulinaemia Tyrosine KinaseCD79 AntigensDiagnosis, DifferentialFlow CytometryHumansImmunoglobulin MLeukemia, Lymphocytic, Chronic, B-CellLymphoma, FollicularLymphoma, Large B-Cell, DiffuseLymphoma, Mantle-CellMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3p38 Mitogen-Activated Protein KinasesPhospholipase C gammaPhosphoproteinsAgammaglobulinaemia Tyrosine KinaseBTK protein, humanCD79 AntigensCD79B protein, humanImmunoglobulin MMAPK1 protein, humanMitogen-Activated Protein Kinase 1Mitogen-Activated Protein Kinase 3p38 Mitogen-Activated Protein KinasesPhospholipase C gammaPhosphoproteinsProtein-Tyrosine KinasesProto-Oncogene Proteins c-aktReceptors, Antigen, B-Cellsrc-Family KinasesSTAT1 protein, humanSTAT1 Transcription FactorSTAT5 Transcription FactorSyk KinaseSYK protein, human

Identifiers

PMID28011673
PMCPMC5301824
OpenAlexW2562903607

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.