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Enregistrement W2557428466 · doi:10.1182/blood.v114.22.4756.4756

Clinical Development of MGCD0103, An Isotype-Selective HDAC Inhibitor: Pericarditis/Pericardial Effusion in the Context of Overall Safety and Efficacy.

2009· article· en· W2557428466 sur OpenAlexaff
Robert E. Martell, Guillermo Garcia‐Manero, Anas Younes, Michael S. Ewer, Iyad N. Daher, Michel Drouin, Wendy Hunt, Karine Lortie, Jennifer Wilhelm, Jeffrey M. Besterman

Notice bibliographique

RevueBlood · 2009
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueHistone Deacetylase Inhibitors Research
Établissements canadiensPyrogenesis (Canada)
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineNeutropeniaGastroenterologyContext (archaeology)TolerabilityAdverse effectFebrile neutropeniaAnemiaOncologySurgeryChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4756 Background MGCD0103 is a potent small molecule histone deacetylase (HDAC) inhibitor that inhibits Class I and IV HDACs involved in human cancers. MGCD0103 is being developed as an anticancer therapeutic and has been evaluated in 437 patients with solid tumors and hematologic malignancies in 13 clinical trials. To date, MGCD0103 has shown evidence of single agent activity in individual studies of patients with Hodgkin lymphoma (HL) (RR=33%), diffuse large B cell lymphoma (RR=17%), follicular lymphoma (RR=11%) and acute myelogenous leukemia (AML)/high-risk myelodysplastic syndrome (MDS), as well as in combination with azacitidine in AML and MDS patients (RR=36%) and in combination with gemcitabine in pancreatic cancer patients. The most frequent drug-related grade 3/4 adverse events (AE) occurring in at least 5% of patients were: fatigue (23%), neutropenia (14%) thrombocytopenia (14%), anemia (9%), nausea (8%), febrile neutropenia (7%), vomiting (5%), and anorexia (5%). New enrollment into all MGCD0103 studies was voluntarily suspended for an investigation of a possible association of MGCD0103 with pericarditis/pericardial effusion, while the ongoing patients remained on treatment provided there were no pericardial findings. Patients and Methods All patients who experienced a pericardial serious AE (SAE) were identified across the trials. The frequency, nature and severity of these SAEs as well as the potential associated risks were evaluated. Results Of the 437 patients treated with MGCD0103, there were 19 patients (4.3%) with an SAE where one of the listed terms involved the pericardium. Patients with HL were more likely (9.5%) to experience a pericardial SAE as compared to other diagnoses, while patients with solid tumors had an incidence of only 0.9%. Of the 19 patients with a pericardial SAE, 8 had cardiac tamponade. A majority of pericardial SAEs (14) occurred during Cycle 1 of treatment, however the nature of presentations suggested a non-acute process. Interventions included pericardial window (6), and pericardiocentesis ± drain (8), antiinflammatory agents (5), and antibacterial agents (3). The majority of pericardial SAEs resolved without sequelae (14) and no pericardial event was considered fatal. There were no clear relationships with the starting dose level, exposure, cumulative dose, drug lots, prior history of chest pain/arrhythmia or other cardiac diseases, prior therapies, prior mediastinal or thoracic radiotherapy, presence of mediastinal lesions, pharmacodynamic markers of HDAC activity or inflammation, low albumin levels at baseline, pneumonia, sepsis, or infection. Trends were seen with some variables. Statistically significant associations with pericardial events were found with patients who had a history of pericardial disease, presence of lung lesions, and on-study reports of chest pain or pleural effusion. Conclusions Based on the literature and Investigator-driven preliminary reviews, rates of pericardial findings can vary from 3% to approximately 40% in patients with advanced cancers who may have received multiple previous anticancer therapies. Very recent literature indicates that, in leukemias, most pericardial effusions occur after some therapy. However, no chemotherapeutic class, including HDAC inhibitors, appears to be directly related to causing more severe pericardial effusions. While the role of MGCD0103 in pericarditis/pericardial effusion cannot be ruled out, numerous confounding factors make the interpretation uncertain. Implementation of careful safety monitoring will allow safe treatment and prompt intervention for this very treatable condition in the rare instances of significant of pericarditis/pericardial effusion. Considering that the exploratory trials have indicated therapeutic activity, continued clinical development of MGCD0103 is warranted. Disclosures: Martell: MethylGene Inc: Consultancy, Employment, Equity Ownership. Off Label Use: MGCD0103 is a drug under development for treatment of hematologic malignancies. It is not yet approved.. Younes:MethylGene: Honoraria, Research Funding. Ewer:MethylGene: Consultancy. Drouin:MethylGene: Employment, Equity Ownership. Hunt:MethylGene Inc: Consultancy. Lortie:MethylGene Inc: Employment. Wilhelm:MethylGene: Employment. Besterman:MethylGene Inc: Employment, Equity Ownership, Patents & Royalties.

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)0,002
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
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
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 Opus0,013
Tête enseignante GPT0,305
Écart entre enseignants0,292 · 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

Citations9
Publié2009
Routes d'admission1
Résumé présentoui

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