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Enregistrement W2587629215 · doi:10.1182/blood.v116.21.1357.1357

The Addition of Rituximab and/or Alpha-Interferon to High Dose Chemotherapy and Autologous Stem Cell Transplantation for Patients with Relapsed Follicular Lymphoma Produces Durable Progression Free Survival and Molecular Remissions

2010· article· en· W2587629215 sur OpenAlexaff
Sita Bhella, Neil L. Berinstein, Nancy Pennell, Matthew C. Cheung, Kevin Imrie, Violet Miliken, Marciano D. Reis, Alden Chesney, David Good, Lisa K. Hicks, Eugenia Piliotis, Michael Crump, Rena Buckstein

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer CentreSt. Michael's HospitalUniversity of TorontoUniversity Health NetworkHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineAutologous stem-cell transplantationFollicular lymphomaInternal medicineOncologyTransplantationRituximabMinimal residual diseaseChemotherapySurgeryGastroenterologyLymphomaLeukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 1357 Introduction: High dose chemotherapy (HDT) with autologous stem cell transplantation (ASCT) is historically effective treatment for patients with relapsed follicular lymphoma (FL) but relapse is common possibly due to contaminated stem cell grafts or inadequate eradication of primary disease. The addition of immunotherapy to HDT/ASCT may augment “in vivo” graft purging and achieve more effective eradication of minimal residual disease (MRD) post ASCT. This may lead to improved PFS and OS. Methods: We conducted 3 sequential prospective phase 2 trials of HDT/ASCT combined with immunotherapy in patients with relapsed FL from 1997–2010. Protocol 1 (n=13) used a-interferon 3 MU/m2 SC TIW for 2 years post ASCT. Protocol 2 (n=23) used a single infusion of rituximab (R) 375 mg/m2 for ‘in vivo’ purging 3–5 days pre-stem cell collection and 2 sets of 4 weekly R at 2 and 6 months post ASCT respectively. Protocol 3 (n=32) used 3 infusions of R 375 mg/m2 pre stem cell collection, followed by a-interferon 3 MU/m2 SC TIW × 2 years + R 375mg/m2 × 6 weekly infusions post ASCT. Eligibility included adult patients age 18–65 with stage III or IV follicular lymphoma grades 1–3a in first or second relapse. Salvage chemotherapy was either CHOP or DHAP depending on prior anthracycline exposure. High dose therapy was cyclophosphamide, carmustine, and etoposide (CBV). Minimal residual disease (MRD) assessment of t(14; 18) by quantitative PCR was serially performed in blood, PBSC and marrow. Studies were REB approved and all patients gave informed consent. Results: Sixty-eight patients from the 3 trials are included. Median age at study enrolment was 47 (30-71) and patients were a median of 31 mo (9-197) from diagnosis. 54% were male. Median FLIPI score was 2. Median # of prior chemotherapies was 1. Median number of cycles of salvage chemotherapy was 4 (2 - 10). 63 patients proceeded to ASCT. 5 patients were not transplanted either do to disease progression (2), or failed stem cell mobilization (3). Baseline characteristics of the patients enrolled in the three trials were similar, with the exception of rituximab(R) exposure in 22% of the patients in Protocol 3. 4 (6%) patients were lost to follow up. Median time to death or last follow was 84.5 mo (7-166). 32 patients (47%) relapsed and 20 (29%) have died. Median follow up times for each trial were 116, 99 and 57 mo. Actuarial median OS for Protocol 1 was 136 mo from enrolment and has not yet been reached for Protocols 2 and 3. Actuarial median PFS for Protocols 1 and 3 are 49 and 78 mo respectively and has not yet been reached for Protocol 2. MRD assessment by PCR was collected on 48 patients. Compared with study 1, the increased use of R pre SC collection improved in vivo purging by 2 logs. In Protocols 1 and 2, most still had detectable disease in the graft to a sensitivity of 1 cell/100,000. In Protocol 3, 56% had MRD negative apheresis products. 91% of 46 evaluable patients achieved molecular remission post stem cell transplant. Thirteen patients (19%) developed secondary malignancies post ASCT with a median time to malignancy of 88.5 mo (39-144). 1 patient developed 2 distinct malignancies. Secondary malignancies present were: MDS (4), AML (1), ALL (1), basal cell carcinoma (2), squamous cell carcinoma (3), thyroid cancer (1), non small cell lung cancer (1) and adenocarcinoma of unknown origin (1). Five (7%) patients transformed to DLBCL, with a median time to transformation post ASCT of 43.5 mo (17-142). The majority of patients who received rituximab immunotherapy pre and post ASCT developed persistent hypogammaglobulinemia. 17 patients (26%) developed interstitial pneumonitis or >2 respiratory complications post rituximab. 4 patients (6%) require monthly IVIG to treat recurrent respiratory infections. 10 patients (15%) developed herpes zoster <90 days post ASCT. 15% and 30% of patients in Protocols 1 and 3 did not complete the 2 years of alpha-IFN post ASCT secondary to one or more of depression, fatigue or cytopenias. Conclusion: HDT + ASCT combined with R +/− a-IFN produces durable PFS and molecular remissions but is associated with prolonged hypogammaglobulinemia and higher rates of interstitial pneumonitis. Three infusions of R pre SC collection achieve higher rates of molecular remission. Compliance with 2 years of a-IFN added to R post ASCT is poor and may not add clinical benefits to R alone. The additional role of HDT/ASCT in the era of R-chemotherapy for FL needs to be explored. Disclosures: No relevant conflicts of interest to declare.

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)0,001
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 enseignants0,003
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,227
Écart entre enseignants0,221 · 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

Citations1
Publié2010
Routes d'admission1
Résumé présentoui

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