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Record W4400223071 · doi:10.26685/urncst.560

Deciphering the Role of AMPK in Regulating Integrin Profile of Tumor-Derived Exosomes as a Potential Antimetastatic Strategy

2024· article· en· W4400223071 on OpenAlexaff
Ayshin Mehrabi

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMicrovesiclesAMPKIntegrinCell biologyCancer researchChemistrymicroRNABiologyBiochemistryProtein kinase ACellPhosphorylationGene

Abstract

fetched live from OpenAlex

Introduction: Cancer cell adapt their metabolic activity to survive in stressful environments with limited nutrients and oxygen. To sense and respond to nutrient cues, cells rely on a “fuel gauge” protein known as AMP-activated protein kinase (AMPK). While previous work has largely focused on AMPK’s role in cell metabolism, its role in metastasis is poorly defined. Interestingly, AMPK also regulates the membrane trafficking of integrins – key proteins in cell adhesion and migration. Recent studies have also shown that circulating integrins in exosomes are predictive of metastasis. Therefore, understanding the biology of AMPK signaling on the exosomal integrin profile not only allow for better cancer treatments but also help developing a potential predictive biomarker. I hypothesize that AMPK activation alters the integrin profile of exosomes in breast and endometrial cancer. Methods: Breast and endometrial cancer cells, MDA-MB-231 and HEC-1 respectively, will be cultured in full nutrient media conditions. 48 hours before exosome harvest, the media will be changed to minimal specialized media for extracellular vesicles (EV) collection. To induce AMPK activation, cells will be treated with limiting concentrations of glucose and glutamine, or with metabolic poisons 2-deoxyglucose (2-DG) and oligomycin. Total Exosome IsolationTM (TEI) solution will be used to enrich released exosomes that will be subjected to mass spectrometry to analyze the exosomal integrin profiles. Anticipated Results: Exosomes secreted from MDA-MB-231 and HEC-1 cells are expected to contain different exosomal integrin profile in both basal and induced AMPK activation conditions. It is anticipated that integrin subunits that promote metastatic and survival signaling such as αvβ5, α6β4, α6β1, will be upregulated in exosomes following AMPK activation. This could suggest tumor cells adapting to nutrient insufficiency by AMPK activation may present a more aggressive exosomal integrin profile to support cancer progression. Discussion: Understanding how metabolic cues such as nutrient insufficiency impact integrin content of tumour-derived exosomes can help identify novel metabolic drug targets to limit pro-survival and pro-metastatic signaling in primary breast tumors. Conclusion: This study investigates how AMPK activation modulates the exosomal integrin profile in breast and endometrial cancer cells, potentially uncovering predictive biomarkers and therapeutic targets for metastatic cancers.

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 score0.006

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.374
Teacher spread0.351 · 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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