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PF208 MN1 IS INDISPENSABLE FOR MLL‐REARRANGED ACUTE MYELOID LEUKEMIA

2019· article· en· W2950623518 on OpenAlexaff
Akhilesh Sharma, Nidhi Jyotsana, Razif Gabdoulline, Dirk Heckl, Florian Kuchenbauer, Robert K. Slany, Arnold Ganser, Michael Heuser

Bibliographic record

VenueHemaSphere · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBiologyCancer researchLeukemiaMyeloid leukemiaclone (Java method)Cell cultureMyeloidCytotoxic T cellOncogeneU937 cellApoptosisCell cycleMolecular biologyIn vitroImmunologyGeneticsGene

Abstract

fetched live from OpenAlex

Background: Mixed lineage leukemia (MLL/KMT2A) rearrangements (MLL‐r) are one of the most frequent chromosomal aberrations in AML. In addition, Meningioma 1 (MN1) expression serves as a prognostically important factor in AML patients being associated with poor prognosis. Overexpression of MN1 induces AML in mice and causes resistance to cytarabine and all‐trans‐retinoic acid (ATRA) induced cytotoxic/differentiation effects. Aims: To evaluate the function of MN1, a cofactor of HOXA9 and MEIS1, in human and murine AML cells by CRISPR‐Cas9 mediated deletion of MN1. Methods: MN1 was deleted in murine cells transformed by MLL‐AF9/HOXA9/HOXA9MEIS1/E2A‐HLF and 10 human leukemia cell lines (THP‐1, MV4–11, NB4, OCI‐AML2, OCI‐AML3, U937, K562, Kasumi‐1, HL‐60 and HEL). Murine and human leukemic models with engineered deletion of MN1 were studied as single cell clones and were characterized in vitro and in vivo. Results: Out of 96 to 288 CRISPR‐Cas9‐MN1‐transduced single sorted clones per cell line, 30 percent of them proliferated and only 0 to 8.9% of them were found to have a MN1‐deletion. Interestingly, only 1 MN1‐deleted clone was obtained from four different murine cell lines with HOX‐dependent oncogene expression suggesting that MN1 loss impairs clonogenicity of MLL‐r and HOXA9‐transformed cells. Loss of MN1 reduced in vitro proliferation and impaired colony‐forming potential up to 22‐fold in MLL‐r murine and human leukemia cells. MN1 deletion also suppressed cell cycle, promoted apoptosis and induced differentiation in MLL positive leukemia cells. MN1 was critically required for in vivo leukemogenicity of MLL‐AF9 murine leukemic cells. Mice transplanted with MLL‐AF9/Mn1null cells had <1% engraftment in all ten mice, whereas mice transplanted with MLL‐AF9/Mn1 wt cells showed >90% engraftment at 4 weeks with high WBC counts. Loss of Mn1 significantly prolonged survival of mice transplanted with MLL‐AF9/Mn1null cells as compared to mice transplanted with MLL‐AF9/Mn1 wt cells (median survival of 35 days). Additionally, we transplanted MN1 wildtype or MN1null cells of THP‐1 and MV‐4‐11 subcutaneously in NOD‐SCID mice and monitored tumor formation. Deletion of MN1 led to significantly reduced tumor volumes in both THP‐1 and MV‐4‐11 cells (MN1null) as compared to their MN1 wild type control. ChIP sequencing and gene expression analysis suggested that MN1 is required in MLL‐r leukemias to maintain expression of the distal Hoxa cluster and Meis1 and as a cofactor of the Hoxa9/Meis1 transcriptional complex and their target genes essential for leukemogenic activity. Also, we treated CD34+ cells from healthy donors and MLL‐AF9 positive AML cells with control/anti‐MN1 siRNA. MN1 expression was found to be critical for proliferation of MLL‐transformed leukemic cells while it had no effect on CD34+ cells from healthy donors, proposing MN1 as a therapeutic target in MLL‐transformed AML. Summary/Conclusion: Our study offers insight to the function of endogenous MN1 expression in leukemogenesis of MLL‐r AML. Our data shows that MN1 is essential for MLL fusion leukemias via regulation of Hoxa cluster and Meis genes and serves as a therapeutic target in MLL‐r AML.

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 score0.013

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)0.0040.002

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 head0.300
Teacher spread0.279 · 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
Published2019
Admission routes1
Has abstractyes

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