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Record W3047058424 · doi:10.1158/1538-7445.pedca19-b51

Abstract B51: Adaptation to oncogene-induced metabolic stress by MondoA (MLXIP) drives common acute lymphoblastic leukemia (cALL) malignancy

2020· article· en· W3047058424 on OpenAlexaffabout
Alexandra Sipol, Erik Hameister, Andreas Petry, Agnes Görlach, Jürgen Ruland, Günther Richter, Stefan Burdach, Poul H. Sorensen

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsCanadian Centre for Applied Research in Cancer ControlBC Cancer Agency
Fundersnot available
KeywordsCancer researchDownregulation and upregulationGene knockdownTranscription factorBiologyChemistryCell biologyBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract MondoA (also known as MLXIP, MAX-like protein X interacting protein) is a metabolic stress sensor and a proglycolytic transcription factor potentially involved in metabolic addiction features of leukemia and the Warburg effect. MondoA dimerizes with MLX within the MYC interactome and promotes longevity in C. elegans (Johnson et al., 2014). The MYC interactome comprises the MYC/MAX/MNT/MLX/MLXIP transcription factor network: Its key players MYC, MNT and MLXIP differentially mediate proliferation, differentiation, or metabolism by heterodimerization with MAX or MLX. We previously described MondoA to promote malignancy of common precursor B-cell acute lymphoblastic leukemia (cALL). MondoA knockdown (MKD) in cALL cell lines in xenografted mice reduced the number of leukemic blasts (Sipol, 2014). Here we report that MondoA high expression was observed in ALL subtypes with no MYC overexpression. RNA-sequencing data of 132 primary ALL bone marrow samples confirmed the inverse correlation of MYC and MondoA. Interestingly, in subgroups of ALL with low MYC expression and high MondoA (cALL with BCR-ABL, cALL with TCF3-PBX, cALL with ETV6-RUNX1, and cALL with hyperdiploid karyotype), metabolic gene sets did not appear as upregulated. In contrast, cALL samples with high MYC expression and low MondoA (proB-ALL with MLL rearrangements and B-ALL with IGH-MYC fusion gene) demonstrated upregulation of pathways for oxidative phosphorylation and fatty acid metabolism in addition to targets of E2F, G2M checkpoints, and MYC targets. Using CRISPR/CAS9-mediated knockout (MKO), we demonstrate that MondoA dials down MYC-induced metabolic stress and increases leukemia stress resistance. By limiting mitochondrial pyruvate dehydrogenase (PDH) activity in PDHK1 (pyruvate dehydrogenase kinase 1)-dependent manner, MondoA decreases oxidative phosphorylation. In line with limiting effect of MondoA on oxidative phosphorylation, we observed that MondoA decreases ROS generation in B cells. In conclusion, MondoA is restricting MYC-target gene expression to promote leukemia cell survival by facilitating glycolysis and adaption to oxidative stress. MondoA limits pyruvate availability for the TCA cycle by decreasing PDH activity, thus ensuring consistent glycolytic flux, mediating the Warburg effect, and insuring integrity of leukemia metabolism and ROS balancing in response to oncogene activation. Citation Format: Alexandra Sipol, Erik Hameister, Andreas Petry, Agnes Görlach, Jürgen Ruland, Guenther Richter, Stefan Burdach, Poul Sorensen. Adaptation to oncogene-induced metabolic stress by MondoA (MLXIP) drives common acute lymphoblastic leukemia (cALL) malignancy [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 B51.

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 score0.004
Threshold uncertainty score0.014

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)0.0040.001

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 head0.049
GPT teacher head0.354
Teacher spread0.305 · 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 routes2
Has abstractyes

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