A Phase I MMRC Clinical Trial Testing the Combination of Bortezomib and Tipifarnib in Relapsed/Refractory Multiple Myeloma
Notice bibliographique
Résumé
Abstract Background: Preclinical work from our group and others has demonstrated that the combination of a farnesyl transferase inhibitor (FTI) and the proteasome inhibitor bortezomib results in enhanced plasma cell apoptosis and is associated with AKT activation (David, Blood 2005). More recently, further preclinical data suggests that the mechanism responsible for this profound synergy is due to inhibition of HDAC6 with a resultant inhibition of both the proteasome and aggresome pathway (David ASH 2007). Based upon these observations, with the MMRC we initiated a phase I trial combining the FTI tipifarnib with bortezomib to clinically evaluate the efficacy of this combination. Methods: Patients with relapsed or refractory myeloma were treated with bortezomib at 1.0 mg/m2 given on days 1,4,8, and 11 in conjunction with escalating doses of tipifarnib (100–400mg/BID) given on days 2–15 every 21 days. Dose escalation was accomplished using an adaptive phase I design (Escalation With Overdose Control (EWOC)). Eligibility criteria included a serum creatinine of <2.5, normal liver function, ANC>500, and platelets >25. If dose escalation is able to proceed to 400mg of tipifarnib with 1.0 mg/m2, the tipifarnib dose escalation will restart with bortezomib given at 1.3 mg/m2. Results: Sixteen patients have been enrolled to date into respective tipifarnib dose levels 100 mg(n=6),200mg (n=5) and 300mg (n=5). Median age for the enrolled patients is 59 (range 43–76) and median time from myeloma diagnosis was 4.7 years. 15/16 patients had received prior high dose therapy. The average number of prior therapies was 4.5, and of the16 patients, 8 were refractory to prior bortezomib (relapsed on therapy or within 6 months) 4 were bortezomib naïve, and 4 were previously exposed to bortezomib but not known to be refractory. Among these patients with advanced myeloma and refractory disease, stabilization of disease or better was seen among 7/16 patients with 2 of the 7 achieving an MR. Of note, among the patients achieving clinical benefit, 1 patient had a stable M-protein, but experienced an 80% reduction in circulating plasma cells while on therapy, and another has had a 75% reduction in the free light chain assay. The most common drug related side effects were was Gr2 diarrhea (23.5%). Hematologic toxicities were difficult to ascertain as patients had advanced myeloma and many were entered onto study with platelet counts between 25 and 50. Additional grade 3 toxicities included renal insufficiency (related to progression), pneumonia and altered mental status which were all considered unrelated to study drug, but were associated with progression of disease. There were no Grade 3 –5 drug related toxicities. There were no cardiac events or DVT, and 1 patient experienced grade 2 peripheral neuropathy who did not have pre existing PN at baseline. Conclusions: The combination of bortezomib and tipifarnib is supported by preclinical rationale and has produced stable disease or better among a group of patients with refractory and advanced myeloma. To date the optimal dose of both tipifarnib and bortezomib have yet to be defined, and additional patients will be enrolled to define the MTD for tipifarnib with 1.0mg/m2 of bortezomib, followed by escalation of tipifarnib with 1.3mg/m2 of bortezomib. Correlative studies evaluating the effect of the combination on HDAC6 and plasma cell apoptosis will be presented.
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| 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 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».