Sunitinib in Relapsed or Refractory Diffuse Large B Cell Lymphoma: Results of a Phase II Multi-Center Study of the NCIC Clinical Trials Group.
Notice bibliographique
Résumé
Abstract Abstract 2729 Poster Board II-705 Background: There are limited effective treatment options for patients with diffuse large B cell lymphoma who relapse post autologous stem cell transplant or are transplant-ineligible. The detection of vascular endothelial growth factor (VEGF )A, B and C isoforms and their receptors on many large cell lymphoma samples suggests that the VEGF pathway is critically important and may contribute to disease progression. Sunitinib maleate, is an orally bioavailable inhibitor of VEGF receptor-1 (VEGFR-1), -2, and -3, PDGFR-α and β as well as KIT, FLT3, RET and CSF-1 (Chow, LQ JCO 2007). We tested the efficacy, safety and biomarker activity of sunitinib in patients with relapsed diffuse large B cell lymphoma in a multi-center prospective phase II study. Methods: Eligibility included age 18 or older, histologically confirmed relapsed or refractory diffuse large B-cell (DLBCL), primary mediastinal (PMBCL), or transformed indolent lymphoma, at least one and no more than 2 prior chemotherapy regimens (one anthracycline-containing). The primary endpoint was objective response defined by 1999 Cheson criteria. The secondary endpoints were progression-free and overall survival, toxicity and the effect of sunitinib on peripheral blood circulating endothelial cells (CECs) and their precursors (CEPs). Patients self administered sunitinib 37.5 mg po daily with no breaks in 4 week cycles for up to 1 year. CT imaging was performed every 2 cycles and CEC/CEP assays were done at baseline, day 1 of cycles 2, 3 then q 3 months thereafter. A Simon 2-stage design was used with at least 1 response needed after 15 evaluable patients to complete a planned accrual of 25 patients total. Results: Between Feb 2007 and September 2008 we enrolled 19 patients at 7 Canadian sites - 17 were eligible and are evaluable for toxicity and 15 are evaluable for response. The median age was 65 and patients were a median of 20.3 months(m) from diagnosis (range 5.8–132 m). Fourteen (82%) had a diagnosis of DLBCL, 10 (58%) had responded to their preceding line of chemotherapy - 5 (29%) had relapsed post high dose chemotherapy. The median number of cycles of sunitinib received was 2 (1–5) with only 5 patients remaining on drug for 3 or more cycles. Only 35% of patients received > 90% planned dose intensity with 14 patients missing doses and 5 undergoing dose reductions necessitated by toxicities. Hematological toxicity (grade 3 neutropenia in 5 pts, grades 3–4 thrombocytopenia in 6 pts) and was the most common reason for dose omission. Of the 15 evaluable pts, no objective responses were seen, and 9 achieved stable disease (median duration 3.4 m); and 6 had primary progressive disease. As a result, the study was closed at the end of the first stage. With limited serial sampling, there was no discernable relationship between the change in absolute or apoptotic CEC over time with clinical response as measured by best response or change in bi-dimensional measurements. Conclusions: Sunitinib 37.5 mg po daily showed no evidence of anti-tumour activity in relapsed/refractory large B cell lymphoma and is associated with greater than expected hematological toxicity. Disclosures: Buckstein: Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Off Label Use: It is being tested in NHL.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».