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Record W1910594103 · doi:10.1158/1538-7445.am2014-2693

Abstract 2693: Harnessing MALT1 inhibition for rational combinatorial therapy of ABC-DLBCL

2014· article· en· W1910594103 on OpenAlexaff
Lorena Fontán, Chenghua Yang, Venkataraman Kabaleeswaran, Laurent Volpon, Michael J. Osborne, Elena Beltrán, Monica W. Rosen, Rita Shaknovich, Shao Ning Yang, Randy D. Gascoyne, Leandro Cerchietti, José A. Martinez‐Climent, J. Fraser Glickman, Katherine L. B. Borden, Hao Wu, Ari Melnick

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer therapeutics and mechanisms
Canadian institutionsBC Cancer AgencyUniversité de Montréal
Fundersnot available
KeywordsCancer researchChemistrybreakpoint cluster regionDiffuse large B-cell lymphomaCell growthBiologyMolecular biologyCell biologyLymphomaReceptorBiochemistryImmunology

Abstract

fetched live from OpenAlex

Abstract The MALT1 paracaspase plays a critical role in the proliferation and survival of Activated B-cell like Diffuse Large B-cell Lymphoma (ABC-DLBCL), the most chemo-resistant form of DLBCL. MALT1 mediates activation of the B-cell receptor (BCR) downstream of somatic mutations in signaling components such as: CD79, CARD11, A20 or MYD88, leading to chronically activated NF-κB. MALT1 is the effector enzyme of the CARD11/Bcl10/MALT1 signalosome, a massive, high order structure that functions as an amplifier of BCR signaling to NF-κB. MALT1 is a compelling therapeutic target since: i) it is the only paracaspase in humans, ii) MALT1 knockout mice are viable, and iii) ABC-DLBCLs are biologically dependent on MALT1 activity. MALT1 is only active when forming multimeric complexes. In order to identify potential MALT1 inhibitors we biochemically engineered an obligate dimerized form of MALT1 and an enzymatic assay for high throughput screening. We screened a ∼50,000 compound chemical diversity library and identified and validated 19 distinct chemical scaffolds that inhibited MALT1 with an IC50<20 μM. Three compounds induced selective dose-dependent suppression of MALT1-dependent ABC-DLBCL cells (MI-2, p<0.0001; MI-4, p=0.006; MI-11, p<0.0001). The most potent compound in cell-based assays was MI-2 with a GI25 in the low nanomolar range. MI-2 analogs also displayed nanomolar activity. In depth analysis using LC-MS, NMR and enzymatic kinetic assays revealed that MI-2 binds irreversibly to the active site of MALT1. In DLBCL cells MI-2 inhibited MALT1 cleavage of its targets TNFAIP3, CYLD, BCL10 and RelB, as well as nuclear translocation of c-REL and NF-κB activation. MI-2 inhibited proliferation, induced G1 arrest and ultimately promoted apoptosis in ABC-DLBCLs including those with mutations that bypass BTK inhibitors. MI-2 was non toxic in vivo and potently and specifically inhibited the growth of xenotransplanted ABC-DLBCLs (p=0.014, t-test) but not GCB-DLBCLs. MI-2 selectively killed primary human ABC-DLBCL specimens ex vivo. Given that multiple pathways contribute to ABC-DLBCL pathogenesis we hypothesized that MALT1 inhibitors would be most effective within combinatorial therapy regimens. Along these lines MI-2 strongly enhanced the activity of CHOP chemotherapy drugs against ABC-DLBCL cells. BCR signaling forms a complex network of signaling molecules beyond NF-κB, and accordingly MALT1 targeted therapy was strongly enhanced with small molecules that affect other branches of this pathway, such as PI3K inhibitors (e.g. BKM120). Finally MI-2 synergized with small molecules such as BH3 mimetics (most notably ABT-737) that target fundamental complementary survival pathways to BCR signaling in ABC-DLBCLs. In summary, we identified the first specific MALT1 inhibitor drug and demonstrated a promising role for MALT1 targeted therapy as an anchor of rational combinatorial therapy against ABC-DLBCL. Citation Format: Lorena Fontan, Chenghua Yang, Venkataraman Kabaleeswaran, Laurent Volpon, Michael Osborne, Elena Beltran, Monica Rosen, Rita Shaknovich, Shao N. Yang, Randy D. Gascoyne, Leandro Cerchietti, Jose A. Martinez-Climent, J. Fraser Glickman, Katherine Borden, Hao Wu, Ari Melnick. Harnessing MALT1 inhibition for rational combinatorial therapy of ABC-DLBCL. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2693. doi:10.1158/1538-7445.AM2014-2693

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.404
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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