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Record W2810630089 · doi:10.1158/1538-7445.am2018-4736

Abstract 4736: Bone marrow microenvironment-induced miR-300 expression impairs natural killer cell proliferation and antitumor activity

2018· article· en· W2810630089 on OpenAlexaff
Rossana Trotta, Giovannino Silvestri, Lorenzo Stramucci, Martin Guimond, Guido Marcucci, Xiaoxuan Fan, Maria R. Baer, Danilo Perrotti

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversité de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsStromal cellBone marrowCancer researchCytotoxic T cellTumor microenvironmentImmunologyBiologyCell growthNatural killer cellCellLymphokine-activated killer cellCancer cellInterleukin 21Immune systemCancerChemistryT cellIn vitro

Abstract

fetched live from OpenAlex

Abstract Natural killer (NK) cells mediate immune responses against cancer; however, NK cell quantitative and functional defects are features of cancers including chronic myelogenous leukemia (CML). As increased numbers of activated NK cells were found in CML patients in treatment-free remission, the understanding of the molecular events inhibiting NK proliferation and function may lead to the development of NK cell-based therapies against drug-resistant cancer stem cells. Because altered miRNA expression and inactivation of the protein phosphatase 2A (PP2A) tumor suppressor are also features of cancer, and SET-dependent PP2A inhibition is essential for NK cell function, we hypothesized that increased expression of miR-300, a miRNA with antiproliferative activity, found inhibited in CML and targeting the PP2A inhibitor SET, accounts for impaired NK cell proliferation/activity. An initial analysis revealed that miR-300 levels were significantly higher in peripheral blood (PB) CD56+CD3- NK cells from CML patients at diagnosis compared to healthy individuals. As NK cell activity is regulated by the bone marrow microenvironment (BMM), we evaluated whether hypoxic conditions and/or cell-to-cell interaction influence NK cell proliferation and cytotoxic activity by modulating miR-300 intracellular levels. A marked and significant increase in miR-300 expression was detected in NK-92 and primary CD56+CD3- NK cells exposed to low O2 levels or cultured in the presence of conditioned medium (CM) or exosomes isolated from BM-derived primary mesenchymal stromal (MSC) and HS-5 MSC cells. As expected, increased miR-300 levels correlated with decreased SET levels and markedly reduced NK cell number. Interestingly, miR-300-induced growth inhibition was rescued in NK cells treated with CM/exosomes from HS-5 cells expressing an anti-miR-300 lentivirus. Notably, qRT-PCR indicated that miR-300 was contained in MSC exosomes. Functionally, exposure to MSCs (CM or exosomes) inhibited NK cell IL-12/IL-18-induced IFN-γ production and cytotoxic activity against K562 CML-BC cells in a miR-300-dependent manner. Accordingly, miR-300 lentiviruses and/or CpG-miR-300 oligonucleotides inhibited SET expression, reduced proliferation and suppressed spontaneous cytotoxicity of NK-92 and/or primary NK cells, likely through reactivation of PP2A. Because BM hypoxic conditions and MSCs significantly contribute to decreased NK cell number and cytotoxic activity through upregulation of miR-300, its genetic or pharmacologic inhibition may result in reactivation of NK cell activity against leukemic stem/progenitor cells. This work is supported in part by NIH-NCI RO1CA163800. Citation Format: Rossana Trotta, Giovannino Silvestri, Lorenzo Stramucci, Martin Guimond, Guido Marcucci, Xiaoxuan Fan, Maria R. Baer, Danilo Perrotti. Bone marrow microenvironment-induced miR-300 expression impairs natural killer cell proliferation and antitumor activity [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 4736.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.001

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 head0.024
GPT teacher head0.327
Teacher spread0.303 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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