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Record W2514206384 · doi:10.1158/2159-8290.cd-16-0789

Activating TCR Signaling to Thwart T-ALL

2016· letter· en· W2514206384 on OpenAlexafffund
François Lemonnier, Tak W. Mak

Bibliographic record

VenueCancer Discovery · 2016
Typeletter
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
FundersCanadian Institutes of Health ResearchLeukemia and Lymphoma Society
KeywordsT-cell receptorCD3T cellBiologyApoptosisCell biologyNegative selectionCancer researchProgrammed cell deathLeukemiaImmunologyCancerCD8Immune systemGeneGenetics

Abstract

fetched live from OpenAlex

Thymic negative selection is a process that aims to eliminate autoreactive T cells by inducing the apoptosis of thymocytes expressing a T-cell receptor (TCR) with high affinity for self-MHC. In this issue, Trinquand and colleagues demonstrate that TCR engagement or anti-CD3 stimulation of TCR-expressing T acute lymphoblastic leukemia cells results in their apoptosis. This cell death is reminiscent of thymic negative selection and has the potential for therapeutic exploitation. Cancer Discov; 6(9); 946-8. ©2016 AACR.See related article by Trinquand et al., p. 972.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.058
GPT teacher head0.354
Teacher spread0.296 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2016
Admission routes2
Has abstractyes

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