Tumor Intrinsic and Antigen-Independent Resistance Mechanisms to Bispecific T Cell Engagers in Multiple Myeloma
Notice bibliographique
Résumé
BCMA or GPRC5D targeted bispecific T cell engagers (TCE) yielded significant responses in refractory multiple myeloma (MM), however patients invariably relapse. Furthermore, subsequent salvage therapies post TCE with alternate antigen targeting TCEs or chimeric antigen receptor (CAR) T cells also resulted in suboptimal responses. While antigenic escape is demonstrated to mediate relapse in patients post-TCE, antigen independent tumor intrinsic mechanisms of acquired resistance to TCE or subsequent immune therapies, are yet to be defined. Serial genomic interrogation (by WGS) of TCE resistant primary MM cells (n=30 patients) identified enrichment of gene mutations in the NF-kB canonical and non-canonical pathways including TRAF3 or CYLD deletions and MAP3K14 amplifications. This led us to postulate that NF-kB activating mutations may facilitate the emergence of TCE resistant clones through target antigen dependent or independent mechanisms. To test this hypothesis, we generated a puromycin-resistant TRAF3 knock out OPM2 cells (TRAF3ko) and established an in vitro co-culture model to mimic chronic TCE exposures. In this model, TRAF3ko puromycin-resistant cells are co-cultured with healthy donor peripheral blood mononuclear cells (PBMC) alone or with anti-BCMA TCE teclistamab for up to 96 hours yielding a residual TRAF3ko MM cell survival of 10% in each round. After puromycin purging of co-cultured PBMCs, surviving residual TRAF3ko cells are re-expanded and retreated with PBMCs alone or with PBMCs and TCE. Post 10 iterations of PBMC+TCE coculture with TRAF3ko cells, a teclistamab resistant MM clone was successfully selected (TRAF3ko-R). In order to define the mechanisms of resistance to TCE, these TRAF3ko-R cells were interrogated phenotypically (flow cytometry), transcriptionally (scRNA analysis), and functionally (in vitro cytotoxicity of variable TCE cocultures). Cytotoxicity evaluation of anti-BCMA (teclistamab, elranatamab) or anti-GPRC5D (talquetamab) TCEs at E:T ratio of 1:1 against TRAF3ko MM cells (chronically exposed to PBMC only) versus the TRAF3ko-R cells demonstrated a ≥10 fold increase in the IC50 in TRAF3ko-R cells. This resistance of TRAF3ko-R cells was partially overcome by increasing E:T ratio (10:1), but not by increasing TCE concentrations (range 0.01 - 100 nM). Similarly, TRAF3ko-R also demonstrated 2-fold increased resistance to anti-BCMA CAR T. Phenotypic evaluation of TRAF3ko-R cells revealed retained surface BCMA expression (comparable MFI to TRAF3ko cells) with no genomic TNFRSF17 extracellular domain mutations, consistent with an acquired, antigenic independent, resistance mechanism. To define mediators of this TCE resistance, we performed scRNA transcriptome profiling of TRAF3ko vs TRAF3ko-R cells. Differential gene expression analysis and gene set enrichment analysis (scGSEA) revealed significant downregulation of genes involved in intrinsic apoptotic pathways including PMAIP1 and BBC3 (encoding PUMA and NOXA respectively), as well as the extrinsic pathway with TNFRSF10B (encoding death receptor 5). Notably, pathways mediating physiological and terminal unfolded protein response (UPR) were downregulated with decreased transcript levels of EEF1A2, ATF4 and ERN1, genes known to mediate the apoptotic integrated stress response downstream of PERK and IRE1α. Furthermore, downregulation of ATF4 dimerization partners (ATF3, CEBPB, DDIT, JUN) and ATF4 target genes such as PMAIP, BBC3, CHAC1 and TRIB3 was also noted in TRAF3ko-R cells. Of interest, similar downregulation of the UPR pathway was also previously observed in bone marrow MM cells 28 days post anti-BCMA CAR T cells (Dhodapkar et al. Blood Cancer Discovery 2022). Lastly, genes that mediate other immunogenic cell death such as ferroptosis (PCK2, CHAC1) were also decreased in TRAF3ko-R cells. We herein established an in vitro model of acquired resistance to TCE in MM. Importantly we identified novel tumor intrinsic and antigen independent mediators of resistance to TCEs. These studies revealed a surprising multimodal dynamic tumoral adaptation primarily driven by an attenuation of UPR signaling and ensuing downregulation of multiple intrinsic and extrinsic apoptotic pathways as well as mediators of non-apoptotic immunogenic cell death.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».