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Record W2965126302 · doi:10.1016/j.jbior.2019.100640

Desperately seeking a home marrow niche for T-cell acute lymphoblastic leukaemia

2019· review· en· W2965126302 on OpenAlexfundno aff
Julien Calvo, Lucine Fahy, Benjamin Uzan, Françoise Pflumio

Bibliographic record

VenueAdvances in Biological Regulation · 2019
Typereview
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsnot available
FundersCommissariat à l'Énergie Atomique et aux Énergies AlternativesLigue Contre le CancerFondation ARC pour la Recherche sur le CancerInstitut National de la Santé et de la Recherche MédicaleInstitute of Cancer ResearchInstitut National Du CancerUniversité de ParisUniversité Paris-SaclayAssociation pour la Recherche sur le Cancer
KeywordsProgenitor cellHaematopoiesisBone marrowLeukemiaNicheMalignancyHematologic malignancyBiologyImmunologyCancer researchAcute leukemiaLymphoblastic LeukemiaProgenitorStem cellMedicineCell biologyGeneticsInternal medicine

Abstract

fetched live from OpenAlex

T-cell acute leukemia is a hematologic malignancy that results from the progressive acquisition of genomic abnormalities in T-cell progenitors/precursors. T-ALL is commonly thought to originate from the thymus albeit recent literature describes the possible acquisition of the first oncogenic hits in hematopoietic progenitor cells of the bone marrow (BM). The journey of T-ALL from its arising to full blown expansion meets different microenvironments, including the BM in which leukemic cells settle down early after the disease spreading. We take advantage of recent literature to give an overview of important cells and factors that participate in T-ALL, especially in the BM, arguing in favor of a home marrow niche for this rare leukemia.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.069
GPT teacher head0.382
Teacher spread0.313 · 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

Citations14
Published2019
Admission routes1
Has abstractno

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