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Enregistrement W2555276064 · doi:10.1182/blood.v124.21.1804.1804

The Use of Statin Enhances Chance of Achieving MR4.5 in Chronic Myeloid Leukemia Patients in Chronic Phase Following Imatinib Therapy

2014· article· en· W2555276064 sur OpenAlexaff
Dennis Dong Hwan Kim, Feras Alfraih, Honggi Lee, Jeffrey H. Lipton

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer, Lipids, and Metabolism
Établissements canadiensUniversity of TorontoPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineImatinibMyeloid leukemiaStatinImatinib mesylateChronic myelogenous leukemiaTyrosine-kinase inhibitorInternal medicineOncologyDiscontinuationPopulationCancerLeukemia

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: HMG-CoA reducatase inhibitors, or statins, are commonly prescribed medications which improve life expectancy in general population. They are known to improve hypercholesterolemia and decrease the incidence of cardiovascular events including myocardial infarction or stroke, but also suggested for cancer prevention even though the mechanism is not fully elucidated. Recent studies emphasized the potential role of statins in the cancer treatment to increase response rate to chemotherapy and to improve survival of cancer patients. Statin family of drugs is known to trigger tumor specific apoptosis and to result in growth arrest in leukemias (Penn, Leukemia 2002). The promising result of STIM (STop Imatinb) trial suggested that successful discontinuation of tyrosine kinase inhibitor (TKI) in patients with chronic myeloid leukemia (CML) is possible when patients attain deeper molecular response (defined as 4.5 log reduction or deeper) for 2 years or longer. However, with our current knowledge, there is no known additive intervention facilitates the achievement of MR4.5. We hypothesized that the use of statin improves response rate to tyrosine kinase inhibitor (TKI) therapy in patients with chronic myeloid leukemia (CML), thus increasing MR4.5 achievement and increasing the chance of being attempted TKI discontinuation. METHODS: A total of 503 patients treated with TKI for CML treatment were initially evaluated for the response to TKI therapy with respect to complete cytogenetic response (CCyR), major molecular response (MMR) and molecular response at 4.5 (MR4.5) and statin use. The inclusion criteria confined the patients with chronic phase (CP) treated with imatinib at the dose of 400mg daily, thus excluding 95 patients. Finally, 408 patients were entered into the final analysis. The statin group was defined as those on statin for cholesterol control at the time of imatinib commencement and remaining on statin while on at least 3 years or longer. Cumulative incidence method considering competing risk was adopted to calculate the incidences of MCyR, CCyR, MMR and MR4.5. Discontinuation of imatinib was accounted as competing risk in the analysis. Treatment failure, progression free- and overall survival was also evaluated. RESULTS: With a median follow-up duration of 6 years (range 3 months to 14 years), 88 patients (21.3%) were defined as “statin” group. Types of statin includes atorvastatin (n=44, 50%), rosuvastatin (n=26, 30%), simvastatin (n=10, 11%), pravastatin (n=6, 7%) and fluvastatin (n=2, 2%). The MCyR and CCyR achievement was not significantly different between the 2 groups (p=0.769 for MCyR and p=0.091 for CCyR). No difference of CCyR at 12 months was noted: 70.1% in statin vs 62.8% in non-statin group. The statin group showed a higher response rate than non-statin group for MMR (p=0.005) and MR4.5 (p=0.001): 67.3% vs 49.2% for MMR at 18 months; 55.8% vs 41.0% for MR4.5 at 5 years (Figure). Multivariate analysis was successful to confirm the use of statin as an independent clinical factor for improving MR4.5 (HR 1.785, 95% CI [1.260-2.530], p=0.001), but other clinical factors were not identified such as Sokal risk, age, gender or additional cytogenetic abnormalities (ACAs) at presentation. For MMR, the use of statin was also confirmed as independent factor for MMR (HR 1.541 95% [1.015-2.341], p=0.043) in addition to ACAs (HR 0.381, p=0.0038) and high sokal risk (HR 0.687, p=0.042). The use of statin was not found to be associated with improvement in treatment failure (p=0.580), progression free survival (p=0.731) or overall survival (p=0.542) in the present study. CONCLUSION: The use of statin suggested to improve deeper molecular response following imatinib therapy in CML-CP patients, therefore is promising to increase chance of attempt to TKI discontinuation. Statin appears to improve the chance of MR4.5 achievement by 78.5%. Careful interpretation is required and replication study in an independent cohort is strongly warranted to reach a clear conclusion on this promising effect of statin. The use of statin to deepen the molecular response of TKI therapy should be evaluated in the context of clinical trial. Figure 1 Figure 1. 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)0,000
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 enseignants0,001
Score d'incertitude au seuil0,005

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
Bibliométrie0,0000,000
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 Opus0,013
Tête enseignante GPT0,268
Écart entre enseignants0,255 · 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

Citations2
Publié2014
Routes d'admission1
Résumé présentoui

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