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Enregistrement W1764703361 · doi:10.1182/blood.v124.21.629.629

Brentuximab Vedotin Monotherapy in DLBCL Patients with Undetectable CD30: Preliminary Results from a Phase 2 Study

2014· article· en· W1764703361 sur OpenAlexaff
Nancy L. Bartlett, Mitchell R. Smith, Ranjana H. Advani, Tatyana Feldman, Kerry J. Savage, Maria Corinna Palanca-Wessels, Tanya Siddiqi

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésBrentuximab vedotinMedicineCD30Internal medicineOncologyRituximabDiffuse large B-cell lymphomaChemotherapy regimenLymphomaChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Background Patients (pts) with relapsed/refractory diffuse large B-cell lymphoma (DLBCL) have a poor outcome. In pts who progress <1 year after frontline treatment with rituximab-containing combination chemotherapy, response rates to salvage therapy and autologous stem cell transplant (SCT) are 46–51% with a 3-year event-free survival of ~20% (Gisselbrecht 2010). For pts ineligible for transplant, no standard of care exists and median overall survival for pts not responding to second-line therapy is only 4 months (Elstrom 2010). Novel therapeutic options are needed for these pts. A phase 2, open-label study was initiated to assess antitumor activity of brentuximab vedotin (ADCETRIS®), an anti-CD30 antibody-drug conjugate, in relapsed/refractory CD30+ non-Hodgkin lymphoma, including DLBCL. Significant antitumor activity was observed in DLBCL over a wide range of CD30 expression, including very low levels (<1–10%) as assessed by pathology at participating sites. As previously reported, 41% of DLBCL pts achieved an objective response (16% CR), regardless of CD30 expression (Bartlett, ASH 2013, Abstract 848). Subsequently, the trial was amended to investigate the antitumor activity of brentuximab vedotin in ~50 DLBCL pts with undetectable CD30 expression using standard immunohistochemistry (IHC) (NCT01421667). Preliminary results for this planned subset analysis of those pts are now available. Methods Eligible pts must have DLBCL with undetectable CD30 expression on tumor cells by visual assessment using routine IHC (anti-CD30 BerH2 antibody) per local lab. Pts must also have had 1–3 prior therapies and an ECOG performance status ≤2. Brentuximab vedotin 1.8 mg/kg is administered every 3 weeks until disease progression or unacceptable toxicity for pts who achieve stable disease or better. The primary endpoint is objective response rate per Revised Response Criteria for Malignant Lymphoma (Cheson 2007). Key secondary endpoints include safety and duration of response. Results Thus far, 27 DLBCL pts with undetectable CD30 expression per local lab have been enrolled and treated. All patients had elevated soluble CD30 at baseline with a median of 166 ng/mL and range of 55–1,696 ng/mL (normal, ≤29 ng/mL). Most pts had advanced stage disease at baseline (78%); median age was 65 years (range, 42–91); and 81% had an ECOG performance status of 1–2. The median number of prior therapies was 2, and 8 pts had 3 prior therapies. Six (22%) pts had received prior autologous SCT. Of 14 pts (52%) with refractory disease at study entry, 11 were also refractory to their frontline treatment. To date, pts have received a median of 2 cycles of brentuximab vedotin (range, 1–10), and 12 (44%) pts remain on treatment. Thirteen pts discontinued treatment due to progressive disease, 1 withdrew consent, and 1 pt died due to an unrelated serious adverse event (SAE) of cardiac arrest. At the time of this analysis, 6 (27%) of 22 pts who have had restaging assessments achieved an objective response, including 1 CR and 5 PRs. The CR began at Cycle 6 and is ongoing after 9 weeks. It is too early to assess median response duration. For the 6 pts who achieved an objective response, undetectable CD30 was confirmed by central review. Peripheral sensory neuropathy and nausea were the most frequently occurring adverse events (AEs; 22% each). AEs ≥ Grade 3 occurring in more than 1 pt included hypokalemia, neutropenia (11% each), dehydration, diarrhea, nausea, and vomiting (7% each). All were Grade 3 in severity with the exception of 1 Grade 4 neutropenia. Four deaths occurred within 30 days of last dose; all were disease related except one due to cardiac arrest unrelated to study drug in a pt with prior cardiovascular disease and co-existing risk factors. Conclusions In this interim analysis of DLBCL pts with undetectable CD30, objective responses have been observed in 6 of 22 pts (27%) who have undergone restaging assessments. Safety data are consistent with historic results and pts continue to enroll on study. Activity of brentuximab vedotin in pts with undetectable CD30 by IHC may be explained wholly or in part by one of several factors, including tumor heterogeneity, levels of CD30 on tumor below the level of IHC sensitivity, uptake by cells in the tumor microenvironment that can release the cytotoxic payload, or deletion of repressive cells within the tumor microenvironment. Correlative work to better understand this activity is ongoing. Disclosures Bartlett: ImaginAb: Research Funding; Celgene: Research Funding; MedImmune: Research Funding; Novartis: Research Funding; Pharmacyclics: Research Funding; Pfizer: Research Funding; Takeda Pharmaceuticals International Co.: Research Funding; Seattle Genetics, Inc.: Research Funding, Travel expenses Other; Janssen: Research Funding; Genentech: Research Funding; AstraZeneca: Research Funding. Off Label Use: Brentuximab vedotin is indicated in the US for treatment of patients with Hodgkin lymphoma after failure of autologous stem cell transplant or after failure of at least two prior multi-agent chemotherapy regimens in patients who are not ASCT candidates and for the treatment of patients with systemic anaplastic large cell lymphoma after failure of at least one prior multi-agent chemotherapy regimen. Smith:Seattle Genetics, Inc.: Research Funding, Speakers Bureau. Advani:Janssen Pharmaceuticals: Research Funding; Genentech: Research Funding; Pharmacyclics: Research Funding; Celgene: Research Funding; Takeda International Pharmaceuticals Co.: Research Funding; Seattle Genetics, Inc.: Research Funding, Travel expenses Other. Feldman:Seattle Genetics, Inc.: Research Funding, Speakers Bureau. Savage:Seattle Genetics, Inc.: Consultancy, Honoraria, Research Funding. Palanca-Wessels:Seattle Genetics, Inc.: Employment, Equity Ownership. Siddiqi:Seattle Genetics, Inc.: Consultancy, Research Funding, Speakers Bureau.

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)0,002
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
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 Opus0,009
Tête enseignante GPT0,245
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'étudeEssai non randomisé
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

Citations9
Publié2014
Routes d'admission1
Résumé présentoui

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