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Enregistrement W4405044952 · doi:10.1182/blood-2024-207273

Efficacy and Toxicity of Fixed Dose Versus Reduced/PK-Adjusted Dose Pegaspargase in Pediatric Patients with Newly Diagnosed Acute Lymphoblastic Leukemia: Results of DFCI ALL Consortium Protocol 16-001

2024· article· en· W4405044952 sur OpenAlexaff
Melissa Burns, Yael Flamand, Lynda M. Vrooman, Victoria Koch, Yves Théorêt, Sarah M. Cronholm, Sarah K. Hunt, Peter D. Cole, Lisa Gennarini, Nobuko Hijiya, Justine M. Kahn, Kara M. Kelly, Bruno Michon, Donna Neuberg, Andrew E. Place, Thai Hoa Tran, Jennifer Welch, Stephen E. Sallan, Lewis B. Silverman

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensCentre Hospitalier Universitaire Sainte-JustineCentre hospitalier universitaire de QuébecUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésMedicineAsparaginaseDosingInternal medicineToxicityGastroenterologySurgeryLeukemiaLymphoblastic Leukemia

Résumé

récupéré en direct d'OpenAlex

Background L-asparaginase is an essential component of treatment for acute lymphoblastic leukemia (ALL) but is associated with several treatment-limiting toxicities. Importantly, studies have demonstrated inferior outcomes for patients (pts) unable to tolerate all intended doses (Gupta J Clin Oncol 2020; Silverman Blood 2001). Standard dosing of pegylated E. coli asparaginase leads to prolonged exposure to serum asparaginase activity (SAA) well above levels associated with asparagine depletion (Vrooman J Clin Oncol 2021), possibly contributing to toxicity. To address this clinical challenge, Dana-Farber Cancer Institute ALL Consortium protocol 16-001 (DFCI 16-001) investigated the feasibility, efficacy, and toxicity of reduced/PK-adjusted dosing of pegaspargase (SS-PEG) in children with newly diagnosed ALL. Methods DFCI 16-001 enrolled pts with ALL ages 1 to 21 years from March 2017 until September 2022. All pts received SS-PEG every 2-weeks during post-induction therapy for 15 doses. Pts assigned to the Low, Intermediate and High Risk groups were eligible to participate in a post-induction randomization of standard fixed dose SS-PEG (Arm A, 2500 IU/m2) versus reduced/PK-adjusted dose (Arm B, starting dose 2000 IU/m2). Nadir SAA (NSAA) levels were obtained prior to each dose. For Arm B, SS-PEG dose was adjusted based on NSAA obtained 14 days after the third dose, prior to dose #4, as follows: NSAA <0.4 IU/mL, increase to 2500 IU/m2; NSAA 0.4-0.99 IU/mL, continue 2000 IU/m2, NSAA ≥1.0 IU/mL, decrease to 1750 IU/m2. For any NSAA <0.4 IU/mL on Arm B, SS-PEG was increased 1 dose level to a maximum of 2500 IU/m2. Adverse events were graded according to the CTCAE v.4.0 with attention to asparaginase-related toxicities. Fisher's exact test was used to compare rates, and a log-rank test was used to compare event-free survival (EFS). Results Of 419 eligible subjects, 320 participated in the SS-PEG randomization; 160 each were assigned to Arms A and B. Thirty-one subjects on Arm A and 47 on Arm B discontinued SS-PEG prior to dose #4 due to toxicity, largely hypersensitivity, and were excluded from PK analysis. The median NSAA level prior to dose #4 was 1.31 IU/mL (range 0-2.22 IU/mL; N=123) for Arm A and 1.03 (range 0.56-1.76 IU/mL; N=113) for Arm B. There were statistically significant differences among the distribution of NSAA between the arms, with fewer pts on Arm B having extremely high NSAA levels (≥1.0 IU/mL): On Arm A, 80.5% of subjects pre-dose #4 and 80.6% of subjects pre-dose #15 had NSAA ≥1.0 IU/mL compared with 56.6% and 34.3% of subjects on Arm B at the same timepoints (P<0.0001 at each timepoint). On Arm B, 66 subjects (41.25%) were reduced to 1750 IU/m2 and none required dose re-escalation. No participants on Arm B required escalation to 2500 IU/m2 based on predose #4 NSAA, but 4 pts assigned to 2000 IU/m2 were later escalated to 2500 IU/m2 for NSAA <0.4 IU/mL. Hypersensitivity reaction rates were comparable among the 2 arms (Arm A 26.9% and Arm B 31.3%; P=0.46). Similarly, rates of non-allergic asparaginase-related toxicities were not significantly different between the 2 arms: 43.8% of subjects on Arm A and 46.9% on Arm B experienced at least 1 non-allergic asparaginase-related toxicity (P=0.65). Rates of toxicities were as follows: ≥ Grade 3 hypertriglyceridemia 32.5% on Arm A and 39.4% on Arm B (P=0.24); ≥ Grade 3 hyperbilirubinemia 8.1% on Arm A and 8.8% on Arm B (P>0.99); thromboembolic events 3.8% on Arm A and 8.1% on Arm B (P=0.15); and pancreatitis 10.6% on Arm A and 8.1% on Arm B (P=0.57). Moreover, reduction of SS-PEG on Arm B to 1750 IU/m2 did not result in lower toxicity rates. Of those included in the PK analysis, 12 pts on Arm A and 8 on Arm B discontinued SS-PEG prior to receipt of all 15 intended doses due to asparaginase-related toxicity. With a median follow up of 3.87 years, the 3-year EFS was 95.4% (95%CI 90.6%-97.8%) for Arm A and 93.2% (95%CI 87.6%-96.3%) for Arm B (P=0.91). Conclusions We demonstrate that a reduced/PK-adjusted dose approach for treatment with SS-PEG is feasible in newly diagnosed ALL pts, and preliminary outcome results suggest no decrement in EFS (longer follow-up needed). Despite marked decrease in SAA with reduced/PK-adjusted dosing, rates of non-allergic asparaginase-related toxicities were not reduced compared with standard dosing, suggesting that further investigation of alternative strategies to minimize treatment-limiting toxicities and improve tolerability is warranted.

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)0,005
score de la tête « metaresearch » (Gemma)0,004
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 enseignants0,005
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,019
Tête enseignante GPT0,291
Écart entre enseignants0,272 · 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
Publié2024
Routes d'admission1
Résumé présentoui

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