MétaCan
Menu
Back to cohort

RUNX1 Is Required For Maintenance Of Established T-ALL Blasts

2013· article· en· W2508318535 on OpenAlexaff
Christopher Jenkins, Olena O Shevchuk, Hongfang Wang, Vincenzo Giambra, Samuel Gusscott, Jon C. Aster, Andrew P. Weng

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsGene knockdownBiologyGene silencingCancer researchRUNX1LeukemiaCell cultureMolecular biologyGeneticsStem cellHaematopoiesisGene

Abstract

fetched live from OpenAlex

Abstract T-cell acute lymphoblastic leukemia (T-ALL) is a clinically aggressive malignancy of immature T cells. Intensive multiagent chemotherapy achieves cure in 80-90% of pediatric patients, but only 40% of adult patients survive beyond 5 years. Data from recent ChIP-seq studies has shown that RUNX1 binds throughout the T-ALL genome at sites co-occupied by known oncogenic transcription factors including TAL1 and NOTCH1. For this reason, it has been suggested that RUNX1 may be part of a transcriptional activation complex that drives an oncogenic gene expression program in this cell context. In contrast, next generation sequencing studies have recently identified heterozygous point mutations throughout the RUNX1 coding region in T-ALL including some which are predicted to encode truncated polypeptides resembling dominant negative alleles, thus raising the possibility that RUNX1 may function rather as a tumor suppressor in this context. In an effort to explore the functional role of RUNX1 in T-ALL, we examined the effect of RUNX1 knockdown in a broad panel of established human T-ALL cell lines and xenograft-expanded patient biopsy samples. Cells transduced with lentiviral shRNAs targeting coding and 3’ UTR regions of RUNX1 showed a clear growth disadvantage as compared to either non-transduced cells in the same culture or cells transduced with non-silencing shRNAs in parallel cultures. As well, absolute cell counts of cultures containing only shRUNX1-transduced cells demonstrated dramatically reduced growth rates as compared to either non-transduced or non-silencing shRNA-transduced controls. BrdU incorporation and CFSE dye dilution studies showed that most cell lines exhibited reduced proliferation in response to RUNX1 knock-down, while a subset of lines also showed reduced cell viability. These phenotypes were largely consistent across a panel of over 20 T-ALL cell lines and 4 xenograft-expanded patient samples, including several which harbored either nonsense or missense RUNX1 mutations. These results support the notion that established T-ALL cells are generally dependent on RUNX1 for continued cell growth and, in some cases, also for survival. We also explored candidate RUNX1 target genes which might be responsible for mediating the observed growth/survival phenotypes. Assembling a short list of the “usual suspects” including genes known to regulate growth of T-ALL cells generally (c-MYC, PTEN), to possess a substantial RUNX1 ChIP-seq peak in T-ALL cells (IGF1R, IL7R), or to be bona fide RUNX1 targets in other cell contexts (p21/WAF1, p27/KIP1), we performed western blot or flow cytometric analyses of multiple shRUNX1-transduced cell lines. We noted consistent regulation of some, but not all of these in a manner consistent with RUNX1 positively supporting cell growth. From these results, we conclude that RUNX1 plays a pro-oncogenic role in established T-ALL cells. We surmise that the complement of presumed loss-of-function RUNX1 mutations observed in patient T-ALLs may be indicative of its known roles in regulating normal T cell development such that loss-of-function mutations may lead to differentiation arrest and consequently promote tumor initiation. For the majority of T-ALLs that express wild-type RUNX1 proteins, however, our results suggest that RUNX1 acts functionally to support maintenance of the malignant clone by promoting expression of known oncogenic factors and repressing expression known tumor suppressors. Disclosures: Aster: Cell Signaling Technology: Consultancy; Merck, Inc.: Research Funding; Pfizer, Inc.: Research Funding; Genentech, Inc.: Honoraria.

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 score0.002
Threshold uncertainty score0.007

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.283
Teacher spread0.262 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicAcute Lymphoblastic Leukemia researchFrench-language works237,207