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Enregistrement W2949814266 · doi:10.1002/hon.118_2630

CORRELATIVE ANALYSES OF CYTOKINE RELEASE SYNDROME AND NEUROLOGICAL EVENTS IN TISAGENLECLEUCEL‐TREATED RELAPSED/REFRACTORY DIFFUSE LARGE B‐CELL LYMPHOMA PATIENTS

2019· article· en· W2949814266 sur OpenAlexaff
Veronika Bachanová, Jason R. Westin, Constantine S. Tam, Peter Borchmann, Ulrich Jaeger, Joseph P. McGuirk, Harald Holte, Edmund K. Waller, Samantha Jaglowski, Michael Bishop, Charalambos Andreadis, S.R. Foley, Isabelle Fleury, Takanori Teshima, Stephan Mielke, Gilles Salles, P. Joy Ho, Koji Izutsu, Richard T. Maziarz, Koen van Besien, Marie José Kersten, Nina Wagner‐Johnston, Koji Kato, Paolo Corradini, Xingmin Han, Sergei Agoulnik, J. Chu, Lamis Eldjerou, Lida Pacaud, Stephen J. Schuster

Notice bibliographique

RevueHematological Oncology · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensHôpital Maisonneuve-RosemontMcMaster University
Organismes subventionnairesnon disponible
Mots-clésCytokine release syndromeMedicineInternal medicineRefractory (planetary science)GastroenterologyClinical endpointLymphomaDiffuse large B-cell lymphomaPhases of clinical researchCytokinePeripheral T-cell lymphomaClinical trialImmunotherapyImmunologyT cellImmune systemCancerBiology

Résumé

récupéré en direct d'OpenAlex

Background: Tisagenlecleucel (anti-CD19 CAR-T cell therapy) has shown durable responses and a manageable safety profile in adult patients (pts) with relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL). We report a 24 mo clinical update and correlative analyses between cytokine release syndrome (CRS)/neurological events (NE) and inflammatory/lab analyte markers. Methods: JULIET (NCT02445248) is a single-arm, pivotal, phase 2 trial of tisagenlecleucel in adult pts with r/r DLBCL. The primary endpoint was overall response rate (ORR: complete [CR] + partial response). Peak (within 1 mo of infusion) serum cytokine levels/lab parameters were correlated with rate/grade (gr) of CRS (by Penn) and NE (by CTCAE v4.03) within 8 wk of infusion. Results: As of 11 Dec 2018, 115 pts were infused (99 evaluable for efficacy). ORR remained 54% (95% CI: 43, 64), CR rate was 40%, and median duration of response was not reached (NR; 95% CI: 10, –) at a max follow-up of almost 24 mo from onset of response. Of 31 pts with CR at 6 mo, 3 relapsed between 6-12 mo and 1 relapsed beyond 12 mo. Median overall survival for all 115 pts was 10.3 mo (NR for pts in CR). Severe (gr 3/4) CRS and NE occurred in 23% and 11%, respectively. 83% of pts with any gr NE also had CRS; 62% of pts with severe NE had severe CRS. Median time to onset of CRS and NE was 3 and 6 d, respectively. Peak cytokine levels within 1 mo of infusion were increased in pts with CRS/NE and the trend was more noticeable in pts with severe CRS and severe NE. Higher CRP, ferritin, interferon-ɣ (IFNG), IL2, IL6, and IL10 were observed in pts with severe CRS; severe NE showed similar trends of a lesser degree, except for IFNG. In pts with CRS, cytokines peaked on d 6-9, with early increase of IL2, IL6, and IFNG in the first 2 d post-infusion with severe CRS. Low platelet count, elevated lactate dehydrogenase, and below-normal albumin levels were seen after lymphodepleting chemotherapy; these trends continued post-infusion in pts with severe CRS. As CRS progressed, hepatic and kidney dysfunction-related analytes trended toward an increase, peaking 2 wk post-infusion in pts with severe CRS. Additional univariate/multivariate analyses using pts’ disease and clinical characteristics in an attempt to predict CRS/NE severity are ongoing. Conclusions: With almost 24 mo max follow-up, tisagenlecleucel continued to demonstrate durable efficacy. Severe NE appeared to correlate with severe CRS. Trends in peak levels of several markers were noted with severe CRS and – to a lesser extent – severe NE. Keywords: CD19; cytokines; diffuse large B-cell lymphoma (DLBCL). Disclosures: Bachanova, V: Consultant Advisory Role: Novartis; Research Funding: GAMIDA Cell, UNUM, Novartis, GT Biopharm. Westin, J: Consultant Advisory Role: Novartis, Kite Pharma, Juno, Celgene, Janssen, Genentech. Tam, C: Honoraria: Novartis. Borchmann, P: Honoraria: Novartis. Jaeger, U: Honoraria: AbbVie, Bioverativ, Celgene, Gilead, Janssen, MSD, Novartis, Roche, Takeda Millenium, Amgen, AOP Orphan, BMS, Sandoz; Research Funding: Bioverativ, Celgene, Gilead, Janssen, MSD, Novartis, Roche; Other Remuneration: AbbVie, Celgene, Gilead, Janssen, MAD, Novartis, Roche, Takeda Millenium, Amgen, AOP Orphan, BMS, Sandoz. McGuirk, J: Honoraria: Kite Pharma; Research Funding: Novartis, Kite Pharma, Fresenius Biotech, Astellas Pharma, Bellicum Pharmaceuticals, Gamida Cell, Pluristem Ltd. Holte, H: Consultant Advisory Role: Novartis; Honoraria: Novartis. Waller, E: Employment Leadership Position: Cambium Medical Technologies; Consultant Advisory Role: Kalytera, Novartis; Stock Ownership: Cerus Corporation, Chimerix; Honoraria: Cambrium Medical Technologies, Kalytera, Novartis; Research Funding: Celldex, Novartis, Pharmacyclics. Jaglowski, S: Honoraria: Kite Pharma, Juno; Research Funding: Novarits. Bishop, M: Employment Leadership Position: United Healthcare; Honoraria: Celgene, Jeneau Therapeutics, Novartis. Andreadis, C: Honoraria: Novartis, Genentech, Seattle Genetics, Gilead, Astellas; Research Funding: Novartis, Cellerant Therapeutics, Incyte, Pharmacyclics, Amgen, Genentech. Fleury, I: Honoraria: Gilead, Novartis, Roche, Seattle Genetics, Janssen, AbbVie. Teshima, T: Honoraria: Novartis; Research Funding: Novartis. Mielke, S: Consultant Advisory Role: Celgene, KIADIS Pharma, Miltenyi Biotec, DGHO, EHA. Salles, G: Consultant Advisory Role: Novartis; Honoraria: Novartis. Ho, P: Other Remuneration: Novartis, Celgene, La Jolla Pharmaceuticals. Izutsu, K: Honoraria: Novartis, Eisal, Kyowa Hakko Kirin, MSD, Takeda, Janssen, Bristol Myers Squib, Dainihon Sumitomo, Mundipharma, Nihon Mediphysics, Chugai, AstraZeneca, AbbVie, Bayer, Ono, Celgene; Research Funding: Novartis, Eisal, MSD, Takeda, Janssen, Mundipharma, Chugai, AbbVie, Bayer, Ono, Gilead, Zenyaku, Celgene, Solasia, Symbio, Astellas, Astellas Amgen, Diichi Sankyo. Maziarz, R: Consultant Advisory Role: Novartis, Incyte, Juno Therapeutics; Honoraria: Novartis, Incyte, Juno Therapeutics, Kite Therapeutics; Research Funding: Novartis; Other Remuneration: Athersys, Inc. Van Besien, K: Research Funding: Novartis. Kersten, M: Consultant Advisory Role: Roche, Celgene, Takeda, Novartis, Kite, BMS; Honoraria: Roche, Celgene, Takeda, Novartis, Kite; Research Funding: Roche, Celgene, Takeda. Wagner-Johnston, N: Consultant Advisory Role: Juno, ADC Therapeutics, Janssen. Corradini, P: Consultant Advisory Role: Celgene, AbbVie, Amgen, Daiichi Sankyo, Gilead, Janssen, Kiowakirin, Novartis, Roche, Sanofi, Servier, Takeda. Han, X: Employment Leadership Position: Novartis. Agoulnik, S: Employment Leadership Position: Novartis. Chu, J: Employment Leadership Position: Novartis. Eldjerou, L: Employment Leadership Position: Novarits. Pacaud, L: Employment Leadership Position: Novartis. Schuster, S: Honoraria: Celgene, Genentech, Merck, Pharmacyclics, Novartis, Nordic Nanovector, Acerta, Pfizer, Gilead; Research Funding: Celgene, Genentech, Merck, Pharmacyclics, Novartis, Gilead.

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)0,000
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,036
Tête enseignante GPT0,338
Écart entre enseignants0,301 · 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'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

Citations7
Publié2019
Routes d'admission1
Résumé présentoui

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