Notice bibliographique
Résumé
AMN107, A Designed Bcr-Abl Inhibitor Effective in Gleevec-Resistant CMLStudy finds new designer drug is potent treatment for chronic myelogenous leukemia More potent and highly selective therapy effective in treating Gleevec-resistant disease.A laboratory study led by researchers at Dana-Farber Cancer Institute has shown that a potent and highly selective therapy for chronic myelogenous leukemia (CML) may ultimately be more effective than Gleevec ® , the current standard of care.The researchers report in the February issue of Cancer Cell that the new compound, AMN107, is about 20 times more potent than Gleevec and is effective in treating Gleevec-resistant disease in model systems.Discovered by and in development with Novartis Pharma AG, AMN107 is a small molecule tyrosine kinase inhibitor."While Gleevec represents a major treatment advance for CMLapproximately 95% of patients treated with Gleevec achieve remission-there clearly is a need for therapies that produce longer remissions, are active against advanced disease, and can be used when Gleevec loses effectiveness," says Dana-Farber's James Griffin, M.D., senior author of the study.Gleevec shuts down CML by blocking the function of Bcr-Abl, the abnormal tyrosine kinase protein in the leukemic cells that causes them to grow too quickly.However, it does not bind very tightly to this protein, and patients can develop a resistant type of Bcr-Abl that no longer binds to Gleevec at all.Using rational drug design to circumvent these shortcomings, researchers at Novartis determined the crystal structure of Bcr-Abl, and then constructed compounds that would lock into the receptor more securely than Gleevec.Investigators at Dana-Farber tested the new compounds to measure their effectiveness against CML in laboratory cell cultures and mice with the disease.Data from the study published in Cancer Cell showed that in experiments with laboratory samples of CML cells, AMN107 killed the cells more effectively than Gleevec.In follow-up studies with mice with a human form of CML, AMN107 produced lengthier remissions than Gleevec and triggered remissions in animals in which the disease had become resistant to Gleevec.Side effects in the animals were minimal.Synthesized in August 2002, AMN107 entered early Phase I clinical studies in May 2004-21 months later.Data presented last December at the American Society of Hematology showed that AMN107 had demonstrated significant clinical activity in the most challenging setting: Gleevec resistant accelerated and blast crisis CML patients."We're very encouraged by the results so far," remarks Griffin, who is also a professor of medicine at Harvard Medical School."This is an elegant example of how rational drug design-developing drugs based on a molecular understanding of cell structures and processes-can be used to attack human diseases."The findings contribute to a larger Dana-Farber research effort, dubbed the "Kinase Project," which seeks to identify abnormal tyrosine kinases, enzymes that spark or halt growth, in cancer cells and test agents known to act against them.The Cancer Cell study's lead author is Ellen Weisberg, Ph.D., of Dana-Farber.Co-authors include researchers at Dana-Farber, Novartis, Brigham and Women's Hospital, and Children's Hospital Boston.The preclinical study was conducted as part of a research collaboration between Novartis Pharma AG and Dana-Farber.Dana-Farber Cancer Institute is a principal teaching affiliate of the Harvard Medical School and is among the leading cancer research and care centers in the
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».