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Treating lymphoma is now a bit EZ-er

2021· review· en· W3158563222 on OpenAlexaff
Ryan D. Morin, Sarah E. Arthur, Sarit Assouline

Bibliographic record

VenueBlood Advances · 2021
Typereview
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsMcGill UniversityJewish General HospitalSimon Fraser University
Fundersnot available
KeywordsEZH2MedicineEpigeneticsGerminal centerCancer researchLymphomaFollicular lymphomaPharmacologyOncologyBioinformaticsComputational biologyInternal medicineImmunologyBiologyB cellGenetics

Abstract

fetched live from OpenAlex

Tazemetostat represents the first epigenetic therapy approved for the treatment of follicular lymphoma (FL). It inhibits the activity of the enhancer of zeste homolog 2 (EZH2) histone methyltransferase, the first of a multitude of epigenetic regulators that have been identified as recurrently mutated in FL and germinal center diffuse large B-cell lymphoma. In this review, we discuss the initial discovery and ongoing exploration of the functional role of EZH2 mutations in lymphomagenesis. We also explore the path from the preclinical development of tazemetostat to its approval for the treatment of relapsed FL, and potential future therapeutic applications. We discuss the clinical data that led to the approval of tazemetostat and ongoing research into the function of EZH2 and of tazemetostat in lymphomas that derive from the germinal center, which could increase the applicability of this drug in the future.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.348
Teacher spread0.314 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations34
Published2021
Admission routes1
Has abstractyes

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