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Enregistrement W2554005559 · doi:10.1182/blood.v116.21.5034.5034

Neutropenia and G-CSF Use In Patients with Relapsed/Refractory Multiple Myeloma Treated with Lenalidomide Plus Dexamethasone

2010· article· en· W2554005559 sur OpenAlexaff
Haowei Sun, Christine Massey, Elizabeth Yeboah, Donna Reece, Suzanne Trudel, Vishal Kukreti, Esther Masih‐Khan, Andrew Winter, Christine Chen

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensToronto General HospitalPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésNeutropeniaMedicineLenalidomideDexamethasoneFebrile neutropeniaInternal medicineAbsolute neutrophil countRefractory (planetary science)GastroenterologySurgeryChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 5034 Introduction Lenalidomide is approved in relapsed/refractory (rel/ref) MM based on 2 large phase III trials (Dimopoulos NEJM 2007; Weber NEJM 2007). In these trials, grade 3–4 neutropenia was common (29-41%) and was a main cause for lenalidomide (len) dose reductions despite mandated use of daily GCSF as first-step neutropenia management. Optimal management for len-induced neutropenia is unclear. At our institution, 216 patients (pts) with rel/ref MM were treated on the MM016, an Expanded Access Program (EAP), using len and dexamethasone (dex) at the same dose/schedule as that of the randomized trials. Due to limited access, GCSF was not mandated for grade 3–4 neutropenia, though we developed an intermittent schedule of GCSF (300ug SC 2–3 doses/week for weeks 3 and 4 of each 28 day cycle), typically continued into subsequent cycles to prevent recurrence. We aimed to avoid len dose reduction to maximize efficacy. In this retrospective analysis, our neutropenia management approach is evaluated, focusing upon recurrent neutropenia, infections, len dose-intensity, response, survival outcomes. Methods From 2005–2008, 216 rel/ref MM pts were treated on the EAP at our center. Similar to the phase III studies, len was initiated at 25mg OD × 21days with dex 40mg days 1–4, 9–12, 17–20 every 28 day cycle. Recurrent neutropenia and infectious complications were reviewed. Comparison of baseline variables and neutropenia/survival was performed between pts receiving GCSF (group 1) and those not (group 2). OS and PFS were estimated by Kaplan-Meier curves and log rank test. Results Neutropenia and G-CSF use: Of 216 pts treated with len, 117 pts (54.2%) received GCSF for grade 3–4 neutropenia (group 1); 99 pts (45.8%) did not (group 2). For group 1, the first episode of grade 3–4 neutropenia occurred early (median cycle 2, range 1–20) with GCSF started at median cycle 3 (range 1–19). Although most pts continued GCSF prophylactically into subsequent cycles, almost half (58 pts; 49.6%) recurred with ≥1 episode of grade 3–4 neutropenia, 18 pts (15.4%) ≥3 episodes. Despite GCSF use, pts in group 1 had more grade 3–4 infections (47.0% vs. 25.5%, p=0.002) and hospitalization due to infection (40.2% vs. 25.3%, p=0.021). In addition, len dose reductions were frequent in group 1 (40.2% vs 16.2%; p<0.001). As a surrogate for dose-intensity, the proportion of cycles at full-dose without delay was lower in group 1 (0.67 vs. 0.96, p<0.001). However, group 1 pts received more lines of prior therapy than group 2 (median 3 vs. 2, p=0.021), had lower baseline platelets (<100/uL in 41.0% vs. 23.2%, p=0.006) and neutrophils (<2.0 bil/L in 41.0% vs. 20.2%, p<0.001). All other baseline characteristics were similar between groups. Responses and survival: Pts receiving GCSF remained on len for longer (median duration 10.3 vs 3.7 mos; p=0.01), with primary causes for len discontinuation in both groups due to disease progression (65.2%) and toxicity (15.2%). Increased responses (66.7% vs. 45.5%, p=0.002) and improved quality of response (CR/VGPR 25.6% vs. 14.1%, p=0.03) were seen in the GCSF group. G-CSF use was associated with significantly longer PFS (9.1 vs. 4.0 mos, p=0.048), though the OS between groups was not statistically different (20.9 vs. 13.7 mos; p=0.28). On multivariate analysis, G-CSF support was associated with decreased risk of death (HR 0.46, 95% CI 0.31–0.67, p<0.0001). Conclusions: 1. Not unexpectedly, pts requiring GCSF were predisposed to len-induced neutropenia due to impaired marrow reserve from heavy pretreatment. Contrary to our predictions, our intermittent dosing schedule of GCSF did not significantly reduce rates of subsequent neutropenia, severe infections, or lenalidomide dose reduction. More intensive GCSF schedules than that used at our institution may be required. 2. However, GCSF use is associated with longer duration on len therapy, likely leading to observed improvements in responses, quality of response, and PFS. This suggests that those pts with compromised marrow reserve benefit from dose reductions and striving for full dose-intensity is not necessary. 3. Alternatively, given that GCSF is an independent predictor for prolonged PFS, one may hypothesize that GCSF has effects unrelated to its putative role in reducing neutropenia and may perhaps be related to its anti-inflammatory and immunomodulatory effects. Further studies evaluating the mechanisms and interactions of GCSF with len may provide insights. Disclosures: Reece: Celgene: Honoraria, Research Funding. Trudel:Celgene: Honoraria. Kukreti:Celgene: Honoraria. Chen:Celgene Corporation: Consultancy, Honoraria, Research Funding.

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)0,000
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

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

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,239
Écart entre enseignants0,224 · 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'étudeObservationnel
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

Citations0
Publié2010
Routes d'admission1
Résumé présentoui

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