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Record W4413074138 · doi:10.2478/ebtj-2025-0018

Messaging malignancy: Tumour-derived exosomes at the nexus of immune escape, vascular remodelling and metastatic competence

2025· article· en· W4413074138 on OpenAlexaff
Duygu T. Yildirim, Abdulbaki Yildirim, Michel Salzet, Matteo Bertelli, Tommaso Beccari, Satya Prakash, Luisa Pascucci, Munis Dündar

Bibliographic record

VenueThe EuroBiotech Journal · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsMcGill University
Fundersnot available
KeywordsMicrovesiclesExosomeAngiogenesisMetastasisImmune systemTumor microenvironmentCrosstalkExtracellular vesiclesBiologyTumor progressionMalignancyCancer researchMedicinemicroRNAImmunologyCell biologyCancerPathology

Abstract

fetched live from OpenAlex

Abstract Exosomes, nano-sized extracellular vesicles secreted by all varieties of living cells, have emerged as pivotal mediators of intercellular communication within the tumor microenvironment. While exosomes significantly contribute to tumor progression, metastasis, immune modulation, and resistance to therapy, the mechanisms of cargo selection and clinical translation remain controversial and insufficiently resolved. Recent high-throughput technologies have enabled detailed profiling of exosomal cargo; however, substantial challenges persist in their clinical application due to issues in isolation and standardization. This review systematically dissects these molecular biogenesis controversies, the roles of tumor-derived exosomes in modulating angiogenesis, immune escape, metastasis, and therapy resistance, and critically evaluates barriers hindering their clinical adoption.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.069
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 teacher head, 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

Citations2
Published2025
Admission routes1
Has abstractyes

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