MétaCan
Menu
Back to cohort
Record W2626069361 · doi:10.4161/cbt.4.3.1638

Link between Histone Deubiquitination and Protection of Telomeres

2005· article· en· W2626069361 on OpenAlexaboutno aff
na

Bibliographic record

VenueCancer Biology & Therapy · 2005
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsnot available
Fundersnot available
KeywordsTelomereGenome instabilityBiologyGenomeGeneGeneticsGene silencingEpigeneticsHistoneDNA repairHuman genomeDNA damageDNA

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.353
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCancer Biology & TherapySame topicTelomeres, Telomerase, and SenescenceFrench-language works237,207