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Record W2137344646 · doi:10.3109/10428194.2014.982638

Tumor suppressors in follicular lymphoma

2014· review· en· W2137344646 on OpenAlexaff
Cassandra Graham, David P. LeBrun

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2014
Typereview
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsQueen's University
Fundersnot available
KeywordsBiologyEpigeneticsSomatic cellFollicular lymphomaCancer researchSuppressorDNA methylationLymphomaChromosomal translocationGene silencingGeneGeneticsImmunologyGene expression

Abstract

fetched live from OpenAlex

Follicular lymphoma (FL) is the most common indolent lymphoma. The vast majority of cases are associated with the chromosome translocation t(14;18), a somatic rearrangement that leads to constitutive expression of the anti-apoptotic BCL2 protein. Although t(14;18) clearly represents an important early event in FL pathogenesis, abundant evidence indicates that it is not sufficient. In particular, the recent application of next-generation DNA sequencing technology has uncovered numerous recurrent somatic genomic alterations associated with FL, most of which affect tumor suppressor genes (TSGs). In this article we review the existing literature on TSGs involved in the development and progression of FL. We consider the genes that are most frequently targeted by deleterious mutation, deletion or epigenetic silencing, along with strategies for developing new treatments that exploit the susceptibilities that may be conferred on lymphoma cells by the loss of particular TSGs.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.287
Teacher spread0.269 · 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 designNot applicable
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

Citations6
Published2014
Admission routes1
Has abstractyes

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