The Use Of GDP (Gemcitabine, Dexamethasone and Cisplatin) in The Primary Therapy Of Peripheral T-Cell Lymphomas
Notice bibliographique
Résumé
Abstract Introduction The outcome of peripheral T-cell lymphomas (PTCLs) is poor using standard CHOP chemotherapy. Previous studies have shown good single agent activity of gemcitabine in the relapsed/refractory setting. GDP (gemcitabine, dexamethasone and cisplatin) was developed as a secondary chemotherapy regimen in relapsed aggressive lymphomas and in a comparison to DHAP has recently been shown to have equivalent efficacy, a favourable side effect profile, and it can be delivered in the outpatient setting. At the BC Cancer Agency, GDP has recently been integrated into the primary therapy of patients with PTCLs in an attempt to improve outcomes with CHOP chemotherapy in this poor risk population. Methods The BC Cancer Agency Centre for Lymphoid Cancer and pharmacy databases were searched to identify all cases of newly diagnosed PTCLs with diagnoses by the WHO classification, (with the exception of ALK-positive ALCL, extranodal NK/T-cell lymphoma, cutaneous T-cell lymphoma and hepatosplenic t-cell lymphoma) that received at least one cycle of GDP chemotherapy integrated into their primary therapy, typically alternating with CHOP. Results In total, 34 patients received GDP as part of their first-line treatment (PTCL-NOS n=19, ALK-neg ALCL n=10, enteropathy-type TCL n=2, angioimmunoblastic T-cell lymphoma n=3) in addition to CHOP chemotherapy. The median age was 58 years, 65% were male and the majority of patients had high risk features including stage 3 or 4 disease (94%), elevated LDH (62%). high IPI score (>3 65%; >2 82%) and 32% had bone marrow involvement. The median number of cycles of GDP was 3 (1-8). Two patients underwent consolidative treatment with high dose chemotherapy and autologous stem cell transplantation in first remission and two patients received consolidative radiotherapy. The overall response rate at the end of primary chemotherapy was 82% (CR 62%). With a median follow-up in living patients of 2.8 years the 1- and 2-year time to progression (TTP) were 50% and 36%, respectively and the corresponding estimates for OS were 78% and 64%. Interestingly, the IPI was not prognostic (2 y TTP IPI 0,1 42%, 2,3 34%%, 4,5 37.5% p=.87) even if the 2 patients undergoing transplant are excluded. GDP was generally well tolerated and only 2 patients discontinued treatment due to toxicity (renal dysfunction/hearing loss and rash) and there were no treatment-related deaths. Two patients were hospitalized for febrile neutropenia following GDP and 9 patients (26%) required GCSF support through their therapy. Conclusion The use of GDP in the primary treatment of PTCL is associated with a high response rate. Outcomes in high IPI patients compare favourably with historical results using CHOP chemotherapy and suggest that it may be able to overcome disease resistance in this poor risk group, providing rationale to explore it in further in future clinical trials of PTCLs. Disclosures: Connors: F Hoffmann-La Roche: Research Funding; Roche Canada: Research Funding. Savage:Eli-Lilly: Consultancy.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
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 ».