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Record W2885335871 · doi:10.1158/1538-7445.am2018-1134

Abstract 1134: The tumor suppressor activity of miR-300 is detrimental for leukemia development but required for leukemia stem cell maintenance

2018· article· en· W2885335871 on OpenAlexaff
Giovannino Silvestri, Lorenzo Stramucci, Justin J. Ellis, Jason G. Harb, Paolo Neviani, Bin Zhang, Klára Šrůtová, Gabriel Pineda, Catriona Jamieson, Bruno Calabretta, Fabio Stagno, Paolo Vigneri, Georgios Nteliopoulos, Philippa C. May, Alistar Reid, Ramiro Garzon, Denis‐Claude Roy, Martin Guimond, Peter Hokland, Michael W. Deininger, Garrett Fitzgerald, Chris Harman, Francesco Dazzi, Dragana Milojković, Jane F. Apperley, Guido Marcucci, Jianfei Qi, Kateřina Machová Poláková, Xiaoxuan Fan, Maria R. Baer, Rossana Trotta, Danilo Perrotti

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCancer researchBiologyStem cellProgenitor cellParacrine signallingCD34Ectopic expressionStromal cellMesenchymal stem cellCell biologyImmunologyCell culture

Abstract

fetched live from OpenAlex

Abstract Inhibition of protein phosphatase 2A (PP2A) tumor suppressor is essential for chronic myelogenous leukemia (CML) stem cell (LSC) maintenance and disease development. Persistence of drug-resistant quiescent LSCs depends on cell-autonomous and bone marrow (BM) signals. Herein, we identified miR-300 as an miRNA inhibited in CD34+ CML progenitors and during blastic transformation (BC) through the BCR-ABL1-dependent inhibition of C/EBPβ-induced miR-300 transcription. In CML progenitors, ectopic mir-300 expression directly targets the PP2A inhibitory pathway (i.e., Jak2, hnRNPA1, SET) and other factors essential for LSC maintenance and disease progression (e.g., CCND1/2, b-catenin, Myc, Twist-1). In leukemic but not normal CD34+ cells, miR-300 acts as a potent tumor suppressor by inducing cell cycle exit and promoting apoptosis. Conversely, hypoxia-induced BCR-ABL1 inhibition and induction of C/EBPβ were found essential for increased miR-300 levels in quiescent LSCs, although mesenchymal stromal cells (MSC)-derived exosomal miR-300 also contributed to it. Moreover, low O2 levels and MSC-derived exosomes induced quiescence of CD34+ CML cells. Notably, expression of an anti-miR-300 in MSCs prevented exosome-induced CD34+ CML growth arrest. LSCs escaped miR-300-induced apoptosis through the autocrine/paracrine TGFβ1-induced expression of TUG1, a lncRNA acting as an miR-300 sponge. In fact, TUG1 or TGFβ1 inhibition decreased quiescent (CFSEMAX) LSC number. By contrast, miR-300 inhibition did not alter LSC survival/self-renewal, further supporting a role for TUG1 as an miR-300 sponge. Accordingly, TUG1 was markedly induced in CFSEMAX but not dividing CD34+ CML cells. In fact, low levels of ectopic miR-300 induced growth arrest (decreased LTC-IC and CFC/replating activity) without affecting quiescent LSC number. By contrast, high doses of miR-300 but not scramble CpG-ODN impaired LSC survival (LTC-IC) and self-renewal (CFC/replating), induced marked killing of quiescent LSCs and dividing progenitors, and impaired CML engraftment in NRG-SGM3 mice. Such effects were further enhanced when CPG-miR-300 and CPG-anti-TUG1 were combined. By contrast, high CpG-miR-300 levels did not affect normal CD34+ cell survival/self-renewal likely because of high TUG1 expression. Altogether our results indicate that while miR-300 loss is essential for survival/proliferation of leukemic progenitors, increased miR-300 levels are required for LSC maintenance. Thus, induction of TUG1 may occur to preserve LSC survival in the BM endosteal niche where quiescence is induced by MSCs and low O2 levels through abnormal miR-300 induction. Thus, disrupting the miR-300/TUG1 balance may represent a potential therapeutic approach for treatment/eradication of LSC-derived leukemias. This work is supported in part by NIH-NCI R01CA163800. Citation Format: Giovannino Silvestri, Lorenzo Stramucci, Justin Ellis, Jason Harb, Paolo Neviani, Bin Zhang, Klara Srutova, Gabriel Pineda, Catriona Jamieson, Bruno Calabretta, Fabio Stagno, Paolo Vigneri, Georgios Nteliopoulos, Philippa May, Alistar Reid, Ramiro Garzon, Denis-Claude Roy, Martin Guimond, Peter Hokland, Michael Deininger, Garrett Fitzgerald, Chris Harman, Francesco Dazzi, Dragana Milojkovic, Jane Apperley, Guido Marcucci, Jianfei Qi, Katerina Machova-Polakova, Xiaoxuan Fan, Maria Baer, Rossana Trotta, Danilo Perrotti. The tumor suppressor activity of miR-300 is detrimental for leukemia development but required for leukemia stem cell maintenance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1134.

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 integrity0.0000.001
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 head0.055
GPT teacher head0.356
Teacher spread0.301 · 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
Published2018
Admission routes1
Has abstractyes

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