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Enregistrement W4389248280 · doi:10.1182/blood-2023-190517

Immune and Genome Profiling of Myeloma Patients Treated with Sequential Immunotherapies Reveal Differential Non-Overlapping Mechanisms of Resistance

2023· article· en· W4389248280 sur OpenAlexaff
Holly Lee, Sungwoo Ahn, Ranjan Maity, Noémie Leblay, Michael Durante, Bachisio Ziccheddu, Alexis Brake, Rémi Tilmont, Elie Barakat, Mansour Poorebrahim, Ola Landgren, Benjamin Diamond, Francesco Maura, Paola Neri, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésCytotoxic T cellChimeric antigen receptorAntigenPeripheral blood mononuclear cellImmune systemMedicineImmunotherapyImmunologyCancer researchT cellBiologyIn vitroGenetics

Résumé

récupéré en direct d'OpenAlex

Chimeric antigen receptor T cells (CAR T) or bispecific T cell engagers (TCE) targeting multiple myeloma (MM) antigens result in deep responses in relapsed patients. Nevertheless, resistance invariably emerges requiring salvage treatments. Sequential therapies with CAR T or TCE, in patients with or without prior anti-BCMA therapy exposure, reported durable responses. However the genomic and molecular determinants of response to sequential immunotherapies are poorly defined. To define the molecular determinants of response to sequential immunotherapies we identified patients treated with more than one anti-BCMA or -GPRC5D (n=8) regimens. Bone marrow (BM) and peripheral blood (PB) mononuclear cells from these patients were collected prior to each therapy and at the time of progression. Sorted CD138+ cells were subjected to whole genome sequencing (WGS) or single cell CNV (scCNV) and single cell RNA (scRNA) analysis. CD3+ T cells were subjected to CITEseq and functional in vitro cytotoxicity assays. Patient 1 received anti-BCMA CAR T (Ide-cel) with VGPR lasting 7 months (mos) (Figure 1). He subsequently received elranatamab with no response. CITEseq profiling of T cells at progression post CAR T did not reveal expansion of exhausted cytotoxic or regulatory T cells. However, WGS and scCNV of MM cells identified biallelic TNFRSF17 deletion consistent with antigenic escape as cause of resistance. Patient 2 received Ide-cel (DOR = 3.5 mos) followed by elranatamab with no response. CD138+ MM cells retained BCMA expression and in vitro studies with in-house manufactured anti-BCMA CAR T efficiently eliminated his MM cells. Profiling of T cells showed terminal T cells exhaustion (CD45RA +, TOX +, TIGIT +, PDCD1 + and LAG3 +). In contrast to recipients of CAR T, antigenic loss was commonly observed post TCE therapy. Patient 3 received 3 sequential therapies with Ide-cel (DOR = 3 mos), teclistamab (DOR = 6 mos), and then talquetamab with daratumumab with an ongoing response of 11 mos. While T cell exhaustion was not observed, functional loss of BCMA on MM cells was detected post teclistamab, with 2 coexisting clones harboring TNFRSF17 extracellular domain mutations (p.Pro34del, or p.Ser30del) that abrogated teclistamab binding. Similarly in patient 4 progressing on elranatamab (DOR = 21 mos), there was no evidence of T cell exhaustion but rather acquired BCMA mutation (p.Pro34del) in MM cells. Consistent with fit T cells profile, he has an ongoing response (13+ mos) to talquetamab and daratumumab in his next line of therapy. Patient 5 with penta-refractory disease and high disease burden (> 90% BM infiltration) had no response to elranatamab, however achieved an ongoing sCR (DOR = 30 mos) with talquetamab, daratumumab and pomalidomide (Tal-DP). PB T cells did not show exhaustion at the time of progression on elranatamab. A similar pattern was observed in patient 6 with high disease burden and no response to teclistamab but achieved lasting VGPR to Tal-DP (DOR=24 mos) in the next line followed by an acquired biallelic loss of GPRC5D at progression. Patient 7 had a 17 mos remission to talquetamab and daratumumab and similarly to patient 6, he acquired biallelic loss of GPRC5D at progression. He subsequently received elranatamab with no response with elevated serum soluble BCMA (sBCMA=638 ng/ml) level and phenotypic and functional evidence of T cell exhaustion. Patients 5, 6 and 7 illustrate the impact of disease burden and the ensuing sBCMA sink effect on the efficacy of anti-BCMA TCEs. Lastly patient 8 had lasting remissions to elranatamab (DOR 13 mos) and subsequently to talquetamab (DOR 13 mos) with no evidence of T cells exhaustion but rather antigenic escape with acquired functional antigenic losses with clonal BCMA (p.Arg27Pro) and subsequently GPRC5D (p.Asp239Asn) mutation. Highlighting the lack of cross resistance between anti-BCMA therapies, our in vitro studies showed that while mutant BCMA (p.Ser30del or p.Pro34del) abrogated teclistamab mediated T cell killing, T cells transduced with teclistamab based scFv CAR retained cytolytic activity. Therefore, TCE resistance derived from BCMA mutations does not preclude retreatment with another anti-BCMA TCE or CAR T. We here describe variable non-overlapping mechanisms mediating resistance to sequential TCE and CAR T therapies. Dynamic surveillance for antigenic escape and functional evaluation of T cell fitness will optimize immunotherapy sequencing.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,014
Tête enseignante GPT0,250
Écart entre enseignants0,236 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations8
Publié2023
Routes d'admission1
Résumé présentoui

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