Evidence map›Paper›PMID 40819126›Full record

ArticleCell death & disease2025

Systems biology-enabled targeting of NF-κΒ and BCL2 overcomes microenvironment-mediated BH3-mimetic resistance in DLBCL.

Aimilia Vareli, Haripriya Vaidehi Narayanan, Heather Clark, Eleanor Jayawant, Hui Zhou, Yi Liu, Emma Kennedy, Lauren Stott, Fabio Simoes, Alexander Hoffmann and 3 more

Abstract read
In one paragraph

Article in Cell death & disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Aimilia VareliDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.ORCID http://orcid.org/0000-0001-7272-8007
Haripriya Vaidehi NarayananSignaling Systems Laboratory, Department of Microbiology, Immunology, and Molecular Genetics, and Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-8220-0724
Heather ClarkDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.ORCID http://orcid.org/0009-0003-8043-617X
Eleanor JayawantDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.ORCID http://orcid.org/0000-0003-2193-5414
Hui ZhouDeepKinase Biotechnologies, Kunshan, China.
Yi LiuDeepKinase Biotechnologies, Kunshan, China.ORCID http://orcid.org/0000-0002-2303-6212
Emma KennedyDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.
Lauren StottDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.ORCID http://orcid.org/0009-0005-9400-6642
Fabio SimoesDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.ORCID http://orcid.org/0000-0001-7630-0091
Alexander HoffmannSignaling Systems Laboratory, Department of Microbiology, Immunology, and Molecular Genetics, and Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5607-3845
Andrea PepperDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.ORCID http://orcid.org/0000-0001-9795-1280
Chris PepperDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK.
Simon MitchellDepartment of Clinical and Experimental Medicine, Brighton and Sussex Medical School, University of Brighton and University of Sussex, Brighton, BN1 9PX, UK. S.A.Mitchell@bsms.ac.uk.ORCID http://orcid.org/0000-0003-1091-6349

Funding

Characterizing functional states of macrophages via their stimulus-responsesR01AI173214 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alexander Hoffmann · 2023 to 2026
$2.8M
Cell decision underlying B-cell immune responsesR01AI132731 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2018 to 2022
$2.2M
The NFkB System in Dendritic CellsR01AI127867 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2018 to 2022
$2.2M
NIAID NIH HHS R01 AI127867NIAID NIH HHS R01 AI132731NIAID NIH HHS R01 AI173214RCUK | Medical Research Council (MRC) MR/V009095/1U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI132731
6 · The paper itself

Abstract

In Diffuse Large B-cell Lymphoma (DLBCL), elevated anti-apoptotic BCL2-family proteins (e.g., MCL1, BCL2, BCLXL) and NF-κB subunits (RelA, RelB, cRel) confer poor prognosis. Heterogeneous expression, regulatory complexity, and redundancy offsetting the inhibition of individual proteins, complicate the assignment of targeted therapy. We combined flow cytometry 'fingerprinting', immunofluorescence imaging, and computational modeling to identify therapeutic vulnerabilities in DLBCL. The combined workflow predicted selective responses to BCL2 inhibition (venetoclax) and non-canonical NF-κB inhibition (Amgen16). Within the U2932 cell line we identified distinct resistance mechanisms to BCL2 inhibition in cellular sub-populations recapitulating intratumoral heterogeneity. Co-cultures with CD40L-expressing stromal cells, mimicking the tumor microenvironment (TME), induced resistance to BCL2 and BCLXL targeting BH3-mimetics via cell-type specific upregulation of BCLXL or MCL1. Computational models, validated experimentally, showed that basal NF-κB activation determined whether CD40 activation drove BH3-mimetic resistance through upregulation of RelB and BCLXL, or cRel and MCL1. High basal NF-κB activity could be overcome by inhibiting BTK to resensitize cells to BH3-mimetics in CD40L co-culture. Importantly, non-canonical NF-κB inhibition overcame heterogeneous compensatory BCL2 upregulation, restoring sensitivity to both BCL2- and BCLXL-targeting BH3-mimetics. Combined molecular fingerprinting and computational modelling provides a strategy for the precision use of BH3-mimetics and NF-κB inhibitors in DLBCL.

Indexed as

Drug Resistance, NeoplasmLymphoma, Large B-Cell, DiffuseNF-kappa BProto-Oncogene Proteins c-bcl-2Systems BiologyTumor Microenvironmentbcl-X ProteinBridged Bicyclo Compounds, HeterocyclicCell Line, TumorCoculture TechniquesHumansSulfonamidesTranscription Factor RelBBCL2 protein, humanbcl-X ProteinBridged Bicyclo Compounds, HeterocyclicNF-kappa BProto-Oncogene Proteins c-bcl-2RELB protein, humanSulfonamidesTranscription Factor RelBvenetoclax

Identifiers

PMID40819126
PMCPMC12357900

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.