MétaCan
Menu
Back to cohort
Record W3096121660 · doi:10.1182/blood-2020-141733

Mir-125b Regulates the Self-Renewal of Acute Myeloid Leukemia Stem Cells through PTPN18 and GSK3

2020· article· en· W3096121660 on OpenAlexaff
Qiang Liu, Olga I. Gan, Gabriela Krivdova, Aaron C. Trotman-Grant, Stephanie M. Dobson, Karin G. Hermans, Mark D. Minden, Shai Izraeli, John E. Dick, Jean Wang, Eric R. Lechman

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsMyeloid leukemiaCEBPAStem cellCancer researchLeukemiaHaematopoiesismicroRNAMyeloidTransplantationBiologyNPM1Clonogenic assayProgenitor cellXenotransplantationImmunologyMedicineCell cultureInternal medicineCell biologyTranscription factor

Abstract

fetched live from OpenAlex

Acute myeloid leukemia (AML) is an aggressive hematologic malignancy with poor survival, especially in older patients. Despite high remission rates after chemotherapy, relapse and death are frequent due to persistence of leukemia stem cells (LSCs), which possess properties linked to therapy resistance. Thus, there is an urgent need for a deeper understanding of the unique properties of LSCs. MicroRNAs (miRNAs) are non-coding RNAs that decrease expression of their target mRNAs by post-translational silencing. miRNA profiling of human AML samples fractionated based on LSC activity revealed that miR-125b is expressed at significantly higher levels on cell fractions enriched in LSCs. To evaluate the role of miR-125b in LSCs, expression of miR-125b was enforced in a hierarchical AML model cell line (OCI-AML-8227). miR-125b overexpression (OE) resulted in a significantly lower percentage of CD14+CD15+ differentiated myeloblasts (Figure 1A) and enhanced clonogenic potential in vitro (Figure 1B). Xenotransplantation of four AML patient samples with miR-125b OE revealed a significant increase in the proportion of CD117+ cells, a marker of hematopoietic and leukemic progenitors (Figure 1C). Secondary transplantation of cells harvested from primary engrafted mice at limiting dilution demonstrated a marked increase in LSC frequency with miR-125b OE compared to controls for the two AML samples tested (Figure 1D). Together, these data strongly suggest that miR-125b enhances the self-renewal of LSCs. To investigate the mechanisms by which miR-125b enhances self-renewal, proteomic analysis of miR-125b-OE Ba/F3 cells as well as in silico target prediction were performed and identified PTPN18 as a top putative target for miR-125b. PTPN18 is a tyrosine phosphatase that has been reported to dephosphorylate auto-phosphorylated kinases such as Her2 and Abl to prevent their activation. To evaluate whether PTPN18 OE can rescue the effects miR-125b on LSCs, we carried out transduction of an AML patient sample with control, miR-125b OE, PTPN18 OE, or both miR-125b and PTPN18 OE vectors followed by xenotransplantation. Similar to previous findings, miR-125b OE alone significantly reduced the frequency of CD11b+CD15+ differentiated myeloblasts. Co-transduction of miR-125b/PTPN18 OE vectors resulted in generation of significantly more CD11b+CD15+ cells compared to miR-125b OE alone (Figure 1E), suggesting that suppression of PTPN18 contributes to miR-125b-mediated enhancement of LSC self-renewal. To identify putative phosphotyrosines that might be altered through the miR-125b-PTPN18 signalling axis, we performed immunoprecipitation of phosphotyrosines followed by mass spectrometry in miR-125b-OE Ba/F3 cells and identified increased GSK3 tyrosine phosphorylation as a top target. Additionally, miR-125b OE was confirmed to enhance GSK3 tyrosine phosphorylation, whereas PTPN18 OE reduced it (Figure 1F), together strongly suggesting that miR-125b could enhance tyrosine phosphorylation of GSK3 by silencing PTPN18. GSK3A and GSK3B (GSK3A/B) are paralogous genes that share a high degree of sequence homology and belong to the glycogen synthase kinase 3 (GSK3) family. Tyrosine phosphorylation activates the kinase activity of GSK3, whereas serine phosphorylation inactivates it. We recently identified GSK inhibitors as top candidates targeting LSCs in a stemness-based drug screen using OCI-AML-8227 cells (data not shown). Treatment of OCI-AML-8227 cells with two selective inhibitors of GSK3 selectively reduced the proportion of CD34+ cells while concomitantly increasing expression of myeloid markers CD14 and CD15 (Figure 1G). Overall, our results support an important functional role for PTPN18 and GSK3 in LSC function, and present a potential novel therapeutic target against LSCs. This study highlights the importance of understanding the role of miRNAs and may identify a new druggable vulnerability in LSCs that could lead to the development of new treatment options for AML patients. Figure 1 Disclosures Dick: Bristol-Myers Squibb/Celgene: Research Funding. Wang:Trilium Therapeutics: Patents & Royalties.

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 score0.002
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)0.0020.001

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 head0.008
GPT teacher head0.211
Teacher spread0.203 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicMicroRNA in disease regulationFrench-language works237,207