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P418: DELE1 LOSS AND DYSFUNCTIONAL INTEGRATED STRESS SIGNALING IN TP53 MUTATED AML IS A NOVEL PATHWAY FOR VENETOCLAX RESISTANCE

2023· article· en· W4386024691 on OpenAlexaff
David Sharon, Paul Jung, Yan Sun, Weiguo Feng, Ziping Yang, Valerie A. Robinson, Diya Mitra, Wei Liu, Pingping Zheng, Tami Uziel, Lloyd T. Lam, Mark D. Minden, Jeremy A. Ross, Wellington Mendes, Jalaja Potluri, Andrew H. Wei, Marina Konopleva, Monique Dail, Brenda Chyla, P.K. Epling-Burnette

Bibliographic record

VenueHemaSphere · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsVenetoclaxMyeloid leukemiaCancer researchCytarabineLeukemiaMCL1Integrated stress responseBiologyMedicineChronic lymphocytic leukemiaInternal medicineGeneGeneticsDownregulation and upregulationTranslation (biology)

Abstract

fetched live from OpenAlex

Background: Venetoclax (ven) in combination with hypomethylating agents or low dose cytarabine leads to rapid and durable remission in patients (pts) with acute myeloid leukemia (AML) unfit for intensive chemotherapy (IC), however, pts with TP53 mutations (TP53mut) exhibit adverse prognosis. Aims: Here, we identify dysregulation of the integrated stress response (ISR) pathway in pts with TP53mut, specifically through the actions of DAP3 binding cell death enhancer 1 (DELE1) and its activating protease OMA1. Methods: RNA sequencing was performed on pre-treatment bone marrow-derived mononuclear cells (BMMCs) from pts with AML ineligible for IC across four clinical trials (NCT02993523, NCT02203773, NCT03069352, and NCT02287233). CRISPR-Cas9 editing of TP53-intact AML cell lines was used to generate TP53-/-, TP53mut, DELE1-/-, OMA1-/- and TP53/DELE1 double deficient cell lines. Quantification of BCL2 and Myeloid cell leukemia 1 (MCL1) complexes with BCL2 interacting mediator (BIM) was performed using chemiluminescence assays. A drug screen to assess viability and gene expression was performed in cells treated with ven in combination with 63 drugs. Results: In total 401 pts were included in the analyses, of which 17% harbored TP53mut and 83% were TP53wt. Analysis of genes differentially expressed (DE) between pts with TP53mut and TP53wt AML revealed 19 DE genes shared across all trials. DELE1, an ISR adaptor, was associated with genes mapping to the ISR-related eukaryotic initiation factor-α (eIF2α) in TP53mut AML BMMCs. Deletion of DELE1 or OMA1 in AML cell lines blocked eIF2α activation and induction of the transcription factor ATF4, a critical ISR effector, in response to the mitochondrial stressor FCCP, ven, and azacitidine, and resulted in ven resistance similar to that of TP53 deficient cells. All modified AML cell lines exhibited a concomitant decrease in the pro-apoptotic regulator PMAIP1, encoding NOXA, and a 14-18-fold increase in MCL1-BIM complexes following ven treatment, as well as increased MCL1 expression, compared to parental lines. Further screening of these cell lines for ven sensitizing activity revealed the BH3 mimetic S63845, which targets MCL1, as the top hit, suggesting that combined BH3 mimetics may overcome ven resistance during ISR pathway defects. As DELE1 is located on chromosome 5 (CH); the frequent loss of CH 5q among TP53mut AML may contribute to low DELE1 expression. Summary/Conclusion: These data suggest that defective ISR signaling may be a factor in TP53mut AML treatment outcome and point to DELE1 dysregulation as a driver of ISR inactivation in pts with TP53mut AML. The ISR induces the expression of NOXA, which displaces MCL1 from BIM and lowers the apoptotic threshold. Our data identify p53, DELE1, and OMA1 as regulators of NOXA expression post ven treatment and indicate that co-targeting MCL1 in pts with TP53mut AML may be beneficial to overcome ven resistance. Keywords: Acute myeloid 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.306
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.295
Teacher spread0.264 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

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