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Enregistrement W2983477569 · doi:10.1182/blood-2019-127664

Systematic Literature Review of the Clinical Evidence in Relapsed/Refractory (R/R) Large B-Cell Lymphoma

2019· article· en· W2983477569 sur OpenAlexaff
David G. Maloney, Fei‐Fei Liu, Lisette Nientker, Cathelijne Alleman, Brian Hutton, Jacob Garcia

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensOttawa Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineOncologyBrentuximab vedotinCochrane LibraryFollicular lymphomaSystematic reviewLymphomaSalvage therapyDiffuse large B-cell lymphomaMEDLINERandomized controlled trialChemotherapyHodgkin lymphoma

Résumé

récupéré en direct d'OpenAlex

Introduction: Large B-cell lymphoma (LBCL) is the most common subtype of non-Hodgkin lymphoma. Frontline treatment is curative in ~60% of patients (pts); however, ~30% of pts relapse and ~10% are refractory to frontline treatment. Treatment options for pts with relapsed/refractory (R/R) disease, especially in the third-line or greater (3L+) setting, have been primarily salvage chemotherapies (CTs). Recently, 2 CAR T cell products, axicabtagene ciloleucel (Yescarta®) and tisagenlecleucel (Kymriah®), and the antibody-drug conjugate, polatuzumab vedotin (Polivy®), were approved in the 3L setting. A systematic literature review (SLR) of R/R LBCL was conducted to identify relevant evidence on clinical outcomes in LBCL pts, including these new therapies, within the second-line and greater (2L+) or 3L+ setting, and to define the unmet medical need. Methods: This SLR was conducted in accordance with the Cochrane Handbook for Systematic Reviews of Interventions and European Union Health Technology Assessment requirements. The review identified randomized and nonrandomized/observational studies within R/R LBCL, including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma grade 3B (FL3B), primary mediastinal large B-cell lymphoma (PMBCL), DLBCL transformed from indolent lymphomas, and R/R DLBCL with secondary central nervous system (SCNS) involvement. Sources were EMBASE, MEDLINE, The Cochrane Library, and clinical conferences (ASCO, ESMO, EHA, ASH, ICML, AACR, and EORTC) from Jan 2000 to Apr 2019. Results : Following screening of 8683 database records and additional sources, 103 publications covering 78 unique studies were identified. Studies identified were characterized by line of treatment and R/R LBCL subtype (Figure). OS, PFS, DOR, OR, and safety observed from the identified studies were described. Disease subtypes, pt eligibility criteria, and length of follow-up varied notably across studies. In the 3L+ population, 11 salvage CT and 2 CAR T cell therapy studies reported survival outcomes. With salvage CT, the reported ORR across studies ranged from 0% to 54%, while CR ranged from 5.6%-31%. Median OS (mOS) ranged between 3-9 months, with one outlying study reporting mOS at 20 months. Median PFS (mPFS) reported within the salvage CT studies ranged from 2-6 months. Among CAR T cell therapies, pts treated with axicabtagene ciloleucel (n=101) reported a CR rate of 58% and median DOR (mDOR) was 11.1 months after a median follow-up of 27.1 months. mPFS was 5.9 months and mOS was not reached. At a median follow-up of 19.3 months, pts treated with tisagenlecleucel (n=115) had a CR of 40% but the mDOR was not reached. mOS was 11.1 months for all infused patients. In the 2L+ transplant-eligible population (36 studies), pts who received high-dose CT + HSCT achieved mOS between 9 months to 5 years. In the transplant noneligible population, 16 studies reported mOS between 3-20 months. Studies involving mixed transplant-eligible and noneligible populations (30 studies) reported mOS of 1-17 months. A few studies with limited sample sizes were found to report outcomes in LBCL subtypes (eg, PMBCL, SCNS lymphoma, DLBCL transformed from non-FL indolent lymphoma, FL3B). In the 3L+ setting, 1 study reported that mOS was not reached after a median of 6.6 months. In the 2L+ setting, 4 studies reported mPFS and mOS outcomes ranging between 2-9 months and 10-16 months, respectively. Among studies assessing safety of salvage CTs in R/R LBCL, neutropenia, leukocytopenia, thrombocytopenia, and infections were the most commonly reported adverse events (AEs), with neutropenia being the most reported. Among the 3 studies reporting safety outcomes of CAR T cell therapy, data suggest that hematologic AEs (possibly related to lymphodepleting CT), cytokine release syndrome, and neurotoxicity are the most reported. Conclusions : Despite the availability of new therapies for 2L+ and 3L + LBCL, examination of the current evidence has shown that there exists a high unmet need for additional therapeutic options that provide favorable benefit/risk and durable response for these patients. Furthermore, limited data are available for the rarer subtypes of LBCL. Both findings represent important treatment gaps for R/R LBCL that must be addressed in future research geared toward improvement of the current treatment landscape. Disclosures Maloney: Juno Therapeutics: Honoraria, Patents & Royalties: patients pending , Research Funding; Celgene,Kite Pharma: Honoraria, Research Funding; BioLine RX, Gilead,Genentech,Novartis: Honoraria; A2 Biotherapeutics: Honoraria, Other: Stock options . Liu:Celgene Corporation: Employment. Nientker:Celgene Corporation: Consultancy; Pharmerit Cöoperatief U.A.: Employment. Alleman:Pharmerit Cöoperatief U.A.: Employment; Celgene Corporation: Consultancy. Garcia:Celgene: Employment, Equity Ownership.

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)0,011
score de la tête « metaresearch » (Gemma)0,048
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,057

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,048
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0120,010
Bibliométrie0,0160,015
Études des sciences et des technologies0,0010,001
Communication savante0,0040,003
Science ouverte0,0030,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,038
Tête enseignante GPT0,354
Écart entre enseignants0,316 · 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'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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