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Enregistrement W2540213618 · doi:10.1158/1557-3265.hemmal14-a19

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

2015· article· en· W2540213618 sur 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

Notice bibliographique

RevueClinical Cancer Research · 2015
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiqueBioactive Compounds and Antitumor Agents
Établissements canadiensBC Cancer AgencyUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésCancer researchbreakpoint cluster regionDiffuse large B-cell lymphomaChemistryCell growthBiologyLymphomaMolecular biologyCell biologyReceptorBiochemistryImmunology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,466
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,785
Tête enseignante GPT0,696
Écart entre enseignants0,089 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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