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Record W4399500482 · doi:10.21203/rs.3.rs-4510975/v1

miR-526b dysregulates glucose metabolism via the COX2/EP4 pathway

2024· preprint· en· W4399500482 on OpenAlexaff
Braydon Nault, Mousumi Majumder

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsBrandon University
Fundersnot available
KeywordsSKBR3Cancer researchBiologyMetastasisIn silicomicroRNADownregulation and upregulationGlycolysisAngiogenesisBreast cancerCancerMetabolismEndocrinologyGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction: Breast cancer (BRCA) remains a primary global health concern, with ongoing research focused on early detection and improving treatment methods. Moving forward, it is crucial to understand cancer cell metabolism and its impact on tumor growth and metastasis. This study aims to identify potential BRCA markers related to glucose metabolism for targeted therapy, focusing on the role of miR-526b. miR-526b promotes BRCA phenotypes, including migration, invasion, hypoxia, angiogenesis, and metastasis. Further, cell-free secretion of miR-526b-high BRCA tumor cells can alter the tumor microenvironment. This study will investigate the role of miR-526b in the dysregulation of glucose metabolism. Methods: We used two immortalized BRCA cell lines, MCF7 and SKBR3, and stable miR-526b overexpressed cells MCF7-miR526b and SKBR3-miR526b and a naturally miR-526b high cell line MCF7-COX2 for in vitro assays. We measured ATP production, oxygen consumption rate, and extracellular acidification rate. We used glycolysis and OXPHOS inhibitors to measure metabolic plasticity induced by miR-526b. A COX-2 inhibitor and EP4 antagonist were used to alter miR-526b-induced functions. For RNA and protein measurement, we used qRT-PCR and western blots. In silico analysis with online datasets validated our findings in human BRCA. Results: In silico analysis showed that genes related to glycolysis and oxidative phosphorylation (OXPHOS) are enriched in human breast cancer tissues. Overexpression of miR-526b promotes cell proliferation and ATP production. It also contributes to the upregulation of LDHA and PDHA1, which determine the fate of the glycolytic product pyruvate, either producing lactate or entering the TCA cycle to promote OXPHOS. miR-526b overexpressing cells demonstrated increased metabolic plasticity and decreased adverse effects following treatment with glycolysis and OXPHOS inhibitors, showing increased survival and proliferation. The metabolic dysregulation induced by miR-526b, including increased proliferation, ATP production, and marker expression, can be reversed using a COX2 inhibitor and EP4 antagonist. Conclusion: miR-526b promotes increased glucose metabolism and ATP production, supporting increased growth and division of BRCA cells. It also increases metabolic plasticity, improving cells' ability to thrive in a complex and heterogeneous tumor microenvironment. The dysregulation observed with miR-526b can be reversed by targeting the COX2/EP4 pathway.

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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.028
GPT teacher head0.342
Teacher spread0.314 · 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
Published2024
Admission routes1
Has abstractyes

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