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High-Level IGF1R Expression Is Required for Leukemia Stem Cell Activity In T-ALL and Is Supported by Notch Signaling.

2010· article· en· W2534551952 on OpenAlexaff
Hind Medyouf, Samuel Gusscott, Carol Wai, Oksana Nemirovsky, Vincenzo Giambra, Joan M. Carboni, Marco M. Gottardis, Françoise Pflumio, Michaël Pollak, Martin Holzenberger, Andrew P. Weng

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsMcGill UniversityBC Cancer Agency
Fundersnot available
KeywordsProtein kinase BInsulin-like growth factor 1 receptorPI3K/AKT/mTOR pathwayStem cellBiologyCancer researchCell biologySignal transductionPTENCell growthLeukemiaImmunologyGrowth factorReceptorGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 3649 T-cell acute lymphoblastic leukemia (T-ALL) is a lethal cancer of immature T cells that often shows aberrant activation of NOTCH1 and PI3K/Akt pathways. Although PI3K/Akt signaling is potentiated by PTEN mutations which occur in up to 20% of cases, upstream signals which initiate PI3K/Akt activation remain unclear. IGF1R is a receptor tyrosine kinase upstream of PI3K/Akt and Ras/Raf/MAPK signaling pathways with known roles in cancer cell growth and is expressed broadly in primary human T-ALL cells and established cell lines. We thus considered that IGF1R may represent a biologically relevant upstream activator of the PI3K/Akt pathway in T-ALL. Consistent with this idea, we demonstrate that treatment of human and mouse T-ALL cells with small molecule IGF1R kinase inhibitors and IGF1R blocking antibodies resulted in growth arrest of bulk cells. As well, genetic deletion of IGF1R by inducible Cre expression in mouse T-cell leukemias also leads to growth arrest and apoptosis of bulk cells. IGF1R and PI3K/Akt/mTOR signaling have also been described to promote self-renewal of normal and cancer stem cells, and thus we addressed whether IGF1R may play a role in leukemia stem cell (LSC) activity in T-ALL. Since outgrowth of bulk leukemia cells is required to detect LSC activity in vivo, we were not able to address IGF1R function in LSCs by genetic deletion; however, we elected to take advantage of a well-characterized hypomorphic allele of IGF1R carrying an integrated neo cassette within the second intron. IGF1Rneo/neo mice express full-length IGF1R protein, but at reduced levels (30-60% of wild-type). Despite this reduced expression level, we were able to generate lethal T-cell leukemias with 100% penetrance in primary recipients of IGF1Rneo/neo bone marrow transduced with activated NOTCH1 retrovirus, similar to what is observed with IGF1R+/+ bone marrow. Upon IV or intra-medullary injection into secondary congenic recipients, however, IGF1Rneo/neo leukemias exhibited a striking transplantation defect. Whereas IGF1R+/+ leukemias are consistently serially transplantable, 5 of 16 primary IGF1Rneo/neo leukemias failed to reconstitute disease in any secondary recipients, 5 produced disease in only a subset of secondary recipients, and 6 produced disease in all secondary recipients. Furthermore, treatment of IGF1R+/+ leukemia cells in vitro with IGF1R inhibitor prior to injection into secondary recipients prevented their transplantability, whereas treatment with PI3K and ERK inhibitors did not. Finally, given that inhibition of Notch signaling in human T-ALL cells compromises their ability to recapitulate disease in NOD/Scid recipients, we wondered whether this effect could be mediated by downregulation of IGF1R. In fact, we observed inhibition of Notch signaling, either by small molecule gamma-secretase inhibitor or transduction with dominant negative Mastermind, to result in a 2–3 fold decrease in IGF1R protein expression, corresponding to a 5 to 20-fold decrease in response to stimulation by IGF-1 ligand. Thus, these studies demonstrate high-level IGF1R signaling is required for LSC activity in T-ALL, and that Notch signaling may promote LSC function by supporting IGF1R expression. IGF1R inhibitors may therefore prove clinically useful in preventing disease relapse by compromising LSC self-renewal. Disclosures: Carboni: Bristol-Myers Squibb: Employment. Gottardis:Bristol-Myers Squibb: Employment.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.032
GPT teacher head0.291
Teacher spread0.258 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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