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Abstract A19: MALT1 inhibition as an anchor for combinatorial therapy of ABC-DLBCL.

2015· article· en· W2540213618 on OpenAlexaff
Lorena Fontán, Chenghua Yang, Himaly Shinglot, 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

VenueClinical Cancer Research · 2015
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicBioactive Compounds and Antitumor Agents
Canadian institutionsBC Cancer AgencyUniversité de Montréal
Fundersnot available
KeywordsCancer researchbreakpoint cluster regionDiffuse large B-cell lymphomaChemistryCell growthBiologyLymphomaMolecular biologyCell biologyReceptorBiochemistryImmunology

Abstract

fetched live from OpenAlex

Abstract MALT1 (Mucossa Associated Lymphoid tissue Lymphoma Translocated protein 1) is critical for 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 pathway (BCR) downstream of characteristic somatic mutations in CD79, CARD11 or MYD88 that lead to chronically activated NF-κB. MALT1 is a paracaspase and the effector enzyme of the CARD11/Bcl10/MALT1 signalosome, a high order assembly that functions as an amplifier of BCR signaling to NF-κB. MALT1 constitutes a compelling therapeutic target because: i) it is the only paracaspase in humans, ii) MALT1 knockout mice are viable, and iii) ABC-DLBCLs are biologically dependent on MALT1 paracaspase activity. MALT1 is only active when forming multimeric complexes. In order to identify potential MALT1 inhibitors we engineered a leucine zipper-MALT1, obliged and enzymatically active dimer, and established a paracaspase enzymatic assay for high throughput screening. Screening a ~50,000 compound chemical diversity library allowed us the identification and validation of 19 distinct chemical scaffolds that inhibited MALT1 with an IC50<20 μM. Three compounds significantly 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 NMR and LC-MS revealed that MI-2 binds covalently to the active site of MALT1. In DLBCL cells, MI-2 inhibited MALT1 cleavage of its targets TNFAIP3, BCL10 and RelB, as well as nuclear translocation of c-REL and overall NF-κB activation. MI-2 inhibited proliferation by inducing G1 arrest and ultimately promoted apoptosis in ABC-DLBCLs including those with mutations that bypass BTK inhibitors, like CARD11 activating mutation. 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. Moreover, 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. The addition of MI-2 to doxorubicin allowed for 2.5 to 13-fold reduction in the doxorubicin dose as determined by the dose-reduction index that was specific for the doxorubicin resistant cell lines (GI50 > 200 nM). Because the BCR pathway constitutes a complex network of signaling molecules beyond NF-κB activation, we tested combination of MI-2 with inhibitors of other proteins in this pathway affecting other branches of this pathway. Combination of MI-2 with the pan PI3K inhibitor BKM120, that was in our hands the most effective against a broad group of ABC-DLBCL cell lines, resulted in synergistic cell killing of OCI-Ly10 and Rc-K8 and had an additive effect in HBL-1 while it was less than additive for OCI-Ly3 and TMD8. These cell lines harbor mutations in different proteins of the pathway, which may contribute to the differences in response to the combination. Finally MI-2 strongly synergized with BH3 mimetics (most notably ABT-737) that target fundamental complementary survival pathways to BCR signaling in ABC-DLBCLs. Synergistic killing was at least partially due to induction of apoptosis, as concurrent administration of the two drugs induced increased apoptosis assessed by Caspase-7/3 activity and Annexin V+ DAPI- flow cytometry. 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, Himaly Shinglot, Venkataraman Kabaleeswaran, Volpon Laurent, 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. MALT1 inhibition as an anchor for combinatorial therapy of ABC-DLBCL. [abstract]. In: Proceedings of the AACR Special Conference on Hematologic Malignancies: Translating Discoveries to Novel Therapies; Sep 20-23, 2014; Philadelphia, PA. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(17 Suppl):Abstract nr A19.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

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 head0.785
GPT teacher head0.696
Teacher spread0.089 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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