MétaCan
Menu
← Retour à la cohorte
Enregistrement W2785134906 · doi:10.1182/blood.v130.suppl_1.5215.5215

Patient-Reported Quality of Life (QoL) Following CTL019 Infusion in Adult Patients (pts) with Relapsed/Refractory (r/r) Diffuse Large B-Cell Lymphoma (DLBCL)

2017· article· en· W2785134906 sur OpenAlexaff
Richard T. Maziarz, Michael Bishop, Constantine S. Tam, Peter Borchmann, Ulrich Jaeger, Joseph P. McGuirk, Edmund K. Waller, Samantha Jaglowski, Charalambos Andreadis, S.R. Foley, Isabelle Fleury, Stephan Mielke, Jason R. Westin, Phoebe Joy Ho, Veronika Bachanová, Harald Holte, John Magenau, Oezlem Anak, Lida Pacaud, Siegbert Guenther, Jie Zhang, Lawrence Rasouliyan, Feng Tai, Gilles Salles, Stephen J. Schuster

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversité de MontréalHôpital Maisonneuve-RosemontMcMaster UniversityJuravinski Hospital
Organismes subventionnairesnon disponible
Mots-clésDiffuse large B-cell lymphomaMedicineQuality of life (healthcare)Refractory (planetary science)LymphomaChemotherapy regimenInternal medicineOncologyChemotherapyBiologyNursing

Résumé

récupéré en direct d'OpenAlex

Introduction: The global JULIET trial (NCT02445248) evaluates the efficacy and safety of CTL019, a single infusion of genetically modified autologous chimeric antigen receptor-expressing T cells targeting CD19+ cells, in adult r/r DLBCL pts. Primary analyses showed a best overall response rate of 53%, which included patients with 40% complete response (CR) and 14% partial response (PR). A serious adverse event rate of 51% was observed within 8 weeks of infusion, decreasing to 23% after 8 weeks. This analysis evaluates patient reported QoL assessed before and after CTL019 infusion. Methods: Infused pts were ≥ 18 years with chemo refractory DLBCL after receiving ≥ 2 lines of therapy and either failed autologous hematopoietic stem cell transplant (ASCT) or were otherwise ineligible or nonconsenting for ASCT. At baseline and month 3, pts completed the Short Form 36 Health Survey version 2 (SF-36) and the Functional Assessment of Cancer Therapy - Lymphoma (FACT-Lym), which includes the FACT-General (FACT-G) and the Lymphoma subscale (LymS). Both instruments are validated measures of QoL, and higher scores indicate better QoL. For the SF-36, minimally clinically important differences (MCIDs) were estimated to be 3 for the physical component score (PCS), mental component score (MCS), and vitality subscale (VT), 4 for the role-emotional (RE), role-physical (RP), and social functioning (SF) subscales, and 2 for the general health (GH) subscale. MCIDs were estimated to range from 2.9 to 5.4 for the FACT-LymS, 5.5 to 11 for the FACT-Lym trial outcome index (TOI), 6.5 to 11.2 for the FACT-Lym total score, and 3 to 7 for the FACT-G. Results: 99 of 147 enrolled pts were infused before data cutoff; 95% had previously received 2 or more chemotherapy treatments and 48% had relapsed after SCT. 81 infused pts were followed ≥ 3 months prior to data cutoff or discontinued earlier, and were eligible for this analysis. QoL instruments were completed by 76 (94%) at baseline and 34 (42%) pts at month 3, respectively. Among 34 pts who reported PRO at 3 months, 29 pts were CR or PR, 4 pts had stable or progressive disease, and 1 pt had an unknown response status. Mean baseline scores for the FACT-LymS, FACT-Lym TOI, FACT-Lym total score, and FACT-G were 44.2, 81.4, 121.2, and 77.4, respectively, with mean change scores at month 3 of 2.4, 6.3, 8.8, and 5.8, respectively, suggesting clinically meaningful improvement in FACT-Lym, FACT-TOI and FACT-G. For the SF-36, mean baseline scores were 43.9 and 48.6 for the PCS and MCS, respectively, and ranged from 52.6 (VT) to 77.3 (RE) in the subscales. Clinically meaningful improvements in QoL were observed in the GH and VT subscales with change scores at month 3 of 9.6 and 4.9, respectively. Although point estimates exhibited wide variability, mean change scores in the PF and RP were 3.3 and 4.0, respectively, suggesting clinically meaningful improvement at month 3. Conclusions: Clinically meaningful improvements in QoL were observed at month 3 in the FACT-Lym TOI, FACT-G and in the SF-36 GH and VT subscales and were suggested based on mean change score point estimates in the SF-36 PF, and RP. The majority of the remaining scores and subscales trended in the direction of improvement; although, MCIDs were not reached. These results suggest the intervention may improve QoL among responders after this one-time immunocellular therapy beyond the period of acute toxicities despite more than half of pts reporting SAE within 8 weeks of infusion. Disclosures Maziarz: Novartis Pharmaceuticals Corporation: Honoraria, Membership on an entity9s Board of Directors or advisory committees, Research Funding; Incyte: Consultancy, Honoraria; Juno Therapeutics: Honoraria; Kite Therapeutics: Honoraria; Athersys, Inc: Patents & Royalties. Tam: Roche: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Janssen Cilag: Honoraria, Research Funding. Borchmann: Novartis Pharmaceuticals Corporation: Honoraria. Jaeger: Novartis Pharmaceuticals Corporation: Honoraria, Membership on an entity9s Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Roche: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses; Celgene: Honoraria, Membership on an entity9s Board of Directors or advisory committees. Waller: AMGEN: Consultancy; Helocyte: Consultancy; PRA: Consultancy; National Institutes of Health: Research Funding; Celldex: Consultancy; Chimerix: Equity Ownership; Coulter Foundation: Research Funding; Novartis Pharmaceuticals Corporation: Consultancy, Honoraria, Research Funding; Cerus: Equity Ownership; Katz Foundation: Research Funding; Cambium Medical Technologies: Equity Ownership, Membership on an entity9s Board of Directors or advisory committees, Patents & Royalties. Jaglowski: Novartis Pharmaceuticals Corporation: Consultancy, Research Funding; Kite Pharma: Consultancy, Research Funding; Unum Therapeutics: Research Funding; Pharmacyclics Inc: Research Funding. Andreadis: Seattle Genetics: Honoraria; Amgen: Research Funding; Gilead Sciences: Honoraria; Genentech Inc.: Employment, Equity Ownership, Honoraria; Novartis Pharmaceuticals Corporation: Honoraria, Research Funding; Pharmacyclics: Research Funding; Astellas: Honoraria; Cellerant Therapeutics: Research Funding; Incyte Pharmaceuticals: Research Funding. Foley: Novartis Pharmaceuticals Corporation: Consultancy. Fleury: Novartis Pharmaceuticals Corporation: Consultancy; Merck: Consultancy; Janssen: Consultancy; Roche: Consultancy; Seattle Genetics: Consultancy; Gilead: Consultancy; Amgen: Consultancy; Lundbeck: Consultancy. Mielke: MSD: Consultancy, Other: Travel grants; Gilead: Other: Travel grants; Cellex GmbH: Other: Travel grants, Speakers Bureau; Celgene: Other: Travel grants, Speakers Bureau; Novartis: Consultancy; KIADIS Pharma: Other: Travel grants; Jazz Pharma: Speakers Bureau; DGHO: Other: Travel support; ISCT: Other: Travel support. Westin: Kite Pharma: Membership on an entity9s Board of Directors or advisory committees; Celgene: Membership on an entity9s Board of Directors or advisory committees; Apotex: Membership on an entity9s Board of Directors or advisory committees; Novartis Pharmaceuticals Corporation: Membership on an entity9s Board of Directors or advisory committees. Bachanova: Novartis Pharmaceuticals Corporation: Membership on an entity9s Board of Directors or advisory committees, Research Funding; Zymogen: Consultancy, Membership on an entity9s Board of Directors or advisory committees; Juno: Membership on an entity9s Board of Directors or advisory committees; Oxis: Membership on an entity9s Board of Directors or advisory committees, Research Funding; Seattle-Genetics: Consultancy, Membership on an entity9s Board of Directors or advisory committees. Holte: Oslo University Hospital: Employment; Novartis Pharmaceuticals Corporation: Membership on an entity9s Board of Directors or advisory committees; Nordic Nanovector: Consultancy. Anak: Novartis Pharma AG: Employment. Bubuteishvili Pacaud: Novartis Pharma AG: Employment. Guenther: Novartis Pharma AG: Employment. Zhang: Novartis Pharmaceuticals Corporation: Employment. Rasouliyan: Novartis Pharmaceuticals Corporation: Other: Lawrence Rasouliyan is an employee of RTI Health Solutions, a company that receives funding from Novartis to provide consulting services.. Tai: Novartis Pharmaceuticals Corporation: Employment. Salles: Celgene: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Morphosys: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Gilead: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Roche: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Servier: Consultancy, Honoraria; MSD: Consultancy, Honoraria; Kite: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees; Merck: Consultancy, Honoraria, Membership on an entity9s Board of Directors or advisory committees. Schuster: Novartis Pharmaceuticals Corporation: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Janssen RD Gilead: Consultancy, Research Funding; Seattle Genetics: Consultancy; Nordic Nanovector: Consultancy; Merck: Research Funding.

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)0,001
score de la tête « metaresearch » (Gemma)0,001
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 seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
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 Opus0,021
Tête enseignante GPT0,292
Écart entre enseignants0,271 · 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

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetCAR-T cell therapy research→Travaux en français237 207→