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Enregistrement W2588774828 · doi:10.1182/blood.v128.22.2994.2994

Outcome of Hodgkin Lymphoma after Progression Following Autologous Stem Cell Transplantation

2016· article· en· W2588774828 sur OpenAlexaff
Joseph M. Connors, Alina S. Gerrie, Maryse Power, Kerry J. Savage

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensLeukemia & Lymphoma Society of CanadaBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésMedicineBrentuximab vedotinAutologous stem-cell transplantationInternal medicineOncologyABVDPopulationSurgeryProgression-free survivalTransplantationChemotherapy regimenLymphomaChemotherapyHodgkin lymphomaVincristineCyclophosphamide

Résumé

récupéré en direct d'OpenAlex

Abstract Background Clinical trials have demonstrated a high level of effectiveness for brentuximab vedotin (BV) for patients with relapsed or refractory classical Hodgkin lymphoma (HL); however, how patients fare in routine clinical practice if their HL recurs after autologous stem cell transplant (ASCT) is less clear. Our primary objective was to characterize overall survival (OS) and progression-free survival (PFS) among a cohort of real-world patients treated with BV after ASCT. The secondary objective was to characterize the outcome of treatment after failure of ASCT or ASCT and BV. Methods We screened the population-based British Columbia Cancer Agency (BCCA) Lymphoid Cancer Database to identify patients with classical HL (excluding lymphocyte predominant HL) who were aged >16 years at initial diagnosis, staged and treated in BC, had primary treatment with ABVD or equivalent chemotherapy, underwent ASCT as part of first treatment for refractory or relapsed disease and relapsed again after ASCT. We excluded patients who have been treated at any time with a checkpoint inhibitor. We determined Kaplan-Meier estimates of overall (OS) and progression free survival (PFS) from the date of the progression that occurred after ASCT and, for those treated with the agent, after subsequent BV. Therapies given in sequence without a pause between therapies were considered part of the same line of therapy. Results Between 1986 and 2015 93 patients experienced recurrence of HL after ASCT. Their median age at initial diagnosis was 30 years and 51% were male. After failure of ASCT 23 (25%) received radiation monotherapy and 61 received chemotherapy (66%), either as a single agent or in various combinations and of these 9 (10%) also received radiation; 6 (6%) received a second transplant (5 allogeneic and 1 repeat ASCT); and 5 refused or were too frail for treatment other than with corticosteroids. The median PFS and OS from the time of relapse after ASCT for these 93 patients were 7.1 (range 0.2-352) and 16.2 months (range 0.2-352), respectively. Of those 93, 17 patients received BV alone or BV+bendamustine at some point following ASCT. The median age of BV-treated patients was 33 years at the time of their original diagnosis and 29% were male. Among those 17 patients, 9 received single agent BV and 8, BV+bendamustine as part of a clinical trial. The median time from ASCT to the start of BV was 27.5 months. Counting ASCT as 2nd line treatment, 10 individuals received BV as 3rd line, 6 as 4th line and 1 as 5th line therapy. For all 17 patients the subsequent median PFS and OS from the time of BV initiation were 5.1 (range 1.5-34.6) and 18.8 months (range 2.4-40.5), respectively. 12 of these patients relapsed again and their subsequent median PFS and OS were 0.6 (range 0.5-29) and 3 (range 0.5-30) months, respectively. All 9 patients who received single agent BV relapsed again at a median of 2 months (range 1.2-9.7); 5 of the 8 patients treated with BV+bendamustine remain in remission 6 to 36 months later. Conclusions These data highlight the poor prognosis for patients with relapsed or refractory cHL, particularly for those whose lymphoma recurs after brentuximab vedotin as well as the highly individualized management of patients whose lymphoma has recurred after ASCT. Future therapies that prevent or significantly delay relapse will help in alleviate the substantial clinical burden due to relapsed and refractory Hodgkin lymphoma. Disclosures Connors: Millennium Takeda: Research Funding; Seattle Genetics: Research Funding; NanoString Technologies: Research Funding; F Hoffmann-La Roche: Research Funding; Bristol Myers Squib: 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)0,002
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 enseignants0,003
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
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 savante0,0010,000
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 Opus0,013
Tête enseignante GPT0,267
Écart entre enseignants0,255 · 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

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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