MétaCan
Menu
Back to cohort
Record W3046970531 · doi:10.1158/1538-7445.pedca19-b57

Abstract B57: A combination of IL7Rα and NRAS mutations sheds light on the oncogenesis of T-cell acute lymphoblastic leukemia in a murine model

2020· article· en· W3046970531 on OpenAlexaboutno aff
Hila Winer, Gisele Rodrigues, Wenqing Li, Julie A. Hixon, Scott K. Durum

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsnot available
Fundersnot available
KeywordsNeuroblastoma RAS viral oncogene homologInterleukin-7 receptorKRASCancer researchLeukemiaImmunologyMedicineBiologyCancerT cellInternal medicineIL-2 receptorColorectal cancerImmune system

Abstract

fetched live from OpenAlex

Abstract Acute lymphoblastic leukemia (ALL) is the most common cancer in children. While most cases of ALL arise from B-cell precursors, 15% originate from T cells in the thymus (T-ALL). With current treatments, survival rate is high, but relapse occurs in 15-20% of children. In addition, most treatments are highly toxic, with severe side effects. Approximately 10% of T-ALL patients have somatic gain-of-function mutations in IL7Rα gene, and 15-22% of ALL patients have mutations in NRAS or KRAS. Furthermore, Ras pathway mutations are responsible for 30%-50% of ALL relapse. Recently, our lab showed that mutations in human IL7Rα alone (c.731_732insTTGTCCCAC) or human NRAS alone (G13D) are not sufficient to induce T-ALL from primary cells. However, a combination of both causes severe T-ALL in mice. Treatment with inhibitors against IL7Rα and NRAS signaling led to prolonged survival in these mice. Our new data indicate that the correct ratio between IL7Rα and NRAS expression is necessary to generate T-ALL in mice. Using RAG-/- mice injected with primary thymocytes transduced with mutated IL7Rα and NRAS in the optimal sequence in a polycistronic vector led to fatal disease 3 weeks after injection. These mice showed a 30-fold increase of leukocytes in the blood, spleen, and thymus, 80-fold increase in the lymph nodes, and a 5-fold increase in spleen weight, all indications of severe T-ALL. There was no indication of disease progression in mice injected with either empty vector or wild-type IL7Rα and mutated NRAS. To identify the pathways involved in T-ALL by these mutations, we used mass spectrometry and RNA sequencing. Our analysis showed significant increases in the well-known antiapoptotic, B-cell lymphoma 2 (BCL-2), mRNA, and protein levels and a major decrease in the proapoptotic BCL-2 antagonist/killer 1 (BAK-1) protein levels. In this manner, combination of both IL7Rα and NRAS mutations resulted in high Bcl-2:Bak-1 ratio, supported also by Western blot analysis. In addition, we observed a significant increase in the protein cytokinesis midbody regulator citron kinase (Cit), potentially leading to increased thymocytes proliferation and driving T-ALL formation. Taken together, our lab developed a strong model to study T-ALL in mice, shedding light on novel pathways of oncogenesis and targets for better therapeutic development. Citation Format: Hila Winer, Gisele Rodrigues, Wenqing Li, Julie Hixon, Scott Durum. A combination of IL7Rα and NRAS mutations sheds light on the oncogenesis of T-cell acute lymphoblastic leukemia in a murine model [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B57.

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)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.057
GPT teacher head0.358
Teacher spread0.301 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicAcute Lymphoblastic Leukemia researchFrench-language works237,207