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Record W3047354729 · doi:10.14785/lymphosign-2020-0006

Dysregulated CARD11 signaling in the development of diffuse large B cell lymphoma

2020· article· en· W3047354729 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLymphoSign Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsSignal transductionCancer researchBiologyLymphomaPI3K/AKT/mTOR pathwayCell biologyImmunology

Abstract

fetched live from OpenAlex

CARD11 is a crucial scaffold protein that controls antigen-induced activation of lymphocytes. Upon antigen receptor signaling, CARD11 engages several signaling pathways, leading to the activation of NF-κB, mTOR, and JNK. CARD11 mutations are frequently found in patients with non-Hodgkin lymphoma and their ability to induce aberrant lymphocyte proliferation may be enhanced by mutations in regulators of CARD11 signal transduction. Here we describe how dysregulated CARD11 activity can promote lymphomagenesis through branched signaling pathways whose components and intermediates provide targets for novel diagnostic and therapeutic approaches. Statement of novelty: This review discusses how gain-of-function CARD11 mutations promote lymphomagenesis by engaging branching signaling pathways and how these different pathways provide multiple targets for therapies.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.542

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.025
GPT teacher head0.247
Teacher spread0.222 · 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