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Record W3095236197 · doi:10.1182/blood-2020-142652

Elevated Expression of Mir-130a in t(8,21) AML Reinforces the Aberrant Molecular Program of AML1-ETO

2020· article· en· W3095236197 on OpenAlexaff
Gabriela Krivdova, Véronique Voisin, Sajid A. Marhon, Schoof E Erwin, Martino Gabra, Jessica McLeod, Leonardo Salmena, Mark D. Minden, Eric R. Lechman, John E. Dick

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsCorepressorRUNX1MyelopoiesisCancer researchBiologyMyeloid leukemiaHaematopoiesisMyeloidmicroRNALeukemiaVorinostatStem cellCell biologyRepressorHistoneHistone deacetylaseImmunologyGene expressionGeneticsGene

Abstract

fetched live from OpenAlex

Background: Deregulation of self-renewal and differentiation programs are central to the pathogenesis of hematologic malignancies. MicroRNAs (miRNAs) represent a large class of post-transcriptional regulators that mediate repression of multiple target mRNAs and are frequently deregulated in acute myeloid leukemia (AML). From our previous in vivo miRNA enforced expression screen in human hematopoietic stem and progenitor cells (HSPC), we identified miR-130a as a regulator of self-renewal and lineage specification. Enforced expression of miR-130a in human cord blood (CB) derived HSPC caused an expansion of HSC, block in erythroid differentiation and abnormal myelopoiesis in xenografts. Thus, we examined miR-130a expression in AML and found miR-130a to be specifically upregulated in t(8,21) AML. The translocation t(8,21) is one of the most common karyotypic abnormalities in AML, accounting up to 10% of all AML cases. The consequence of this translocation is a fusion of AML1 and ETO genes, resulting in a formation of the AML1-ETO (AE) oncofusion protein, which acts as a dominant repressor of the wild type AML1/RUNX1. The ETO moiety mediates the recruitment of the nuclear corepressor (NCoR) and histone deacetylases (HDAC1-3) to block RUNX1 target gene expression. This prevents myeloid maturation, apoptosis and promotes leukemogenesis. Here we investigated the molecular mechanism of miR-130a in t(8,21) AML and how it contributes to the leukemogenesis of this AML subtype. Results: Using the TCGA dataset and our PMCC patient cohort, we identified miR-130a to be upregulated in t(8,21) AML and high miR-130a expression was associated with worse patient overall survival. To interrogate the functional significance of elevated miR-130a in t(8,21) AML, we performed knock-down (KD) experiments in the Kasumi-1 cell line, which represents a well characterized model system for t(8,21) AML. Notably, KD of miR-130a induced a significant reduction in the CD34+ cell population and an increase in differentiated CD11b+CD15+ and pro-apoptotic annexin V+ cells. We next examined the impact of miR-130a KD in CD34+ blasts from primary t(8,21) AML patient samples. In line with our findings in the Kasumi-1 cells, miR-130a KD decreased the proportion of CD34+ cells and increased the proportion of differentiated CD11b+CD15+ blasts. To investigate the effect of miR-130a KD on leukemic engraftment in vivo, we transduced CD34+ blasts from 2 patient samples and transplanted them into NSG-GF mice. miR-130a KD decreased leukemic engraftment and the proportion of transduced cells, corroborating the functional significance of high miR-130a expression in t(8,21) AML. To investigate the mechanistic action of miR-130a, we performed label-free semi-quantitative proteomics in human CB derived HSPC to uncover miR-130a targets. Surprisingly, we found the beta subunit of RUNX1, CBFb, and Transducin Beta Like 1 X-Linked Receptor 1, TBL1XR1, to be among the most repressed targets. TBL1XR1 is a component of the nuclear receptor corepressor (NCoR) complex and is involved in NCoR degradation. Thus, we performed western and immunoprecipitations (IP) assays in Flag-AE Kasumi-1 cells following miR-130a KD to examine changes in the expression of proteins associated with the AE complex. We observed increased expression of CBFβ, TBL1XR1 and CEBPA with miR-130a KD. Notably, miR-130a KD resulted in a dramatic decrease of NCoR protein levels. IP of Flag-AE showed decreased association of CBFβ and NCoR with AE, despite unaltered protein levels of AE. To investigate changes in binding occupancy of Flag-AE after miR-130a KD, we performed Cleavage Under the Targets and Release Using Nuclease (CUT&RUN) assay. Surprisingly, we observed 2-fold gain of AE sites in miR-130a KD sample compared to control. De novo motif enrichment analysis showed loss of motives for ETS and HOX transcription factors known to associate with AE following miR-130a KD. Genomic distribution of the peaks revealed a dramatic shift of AE peaks away from the promoter region to introns in miR-130a KD. Pathway enrichment analysis of the unique peaks gained in miR-130a KD showed stress responses and organelle disassembly, in line with the differentiation phenotype observed with miR-130a KD. Collectively, we uncovered a novel mechanism by which miR-130a reinforces the aberrant AE molecular program by controlling the composition and binding of the AE complex. Disclosures Dick: Bristol-Myers Squibb/Celgene: Research Funding.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.238
Teacher spread0.230 · 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
Published2020
Admission routes1
Has abstractyes

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