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Record W2256330537 · doi:10.18632/oncotarget.7052

Exosomes confer pro-survival signals to alter the phenotype of prostate cells in their surrounding environment

2016· article· en· W2256330537 on OpenAlexaffabout
Elham Hosseini‐Beheshti, Wendy W. Y. Choi, Louis‐Bastien Weiswald, Geetanjali Kharmate, Mazyar Ghaffari, Mani Roshan‐Moniri, Mohamed D.H. Hassona, Leslie Chan, Mei Yieng Chin, Isabella T. Tai, Paul S. Rennie, Ladan Fazli, Emma S. Tomlinson Guns

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsUniversity of British Columbia
FundersProstate Cancer Foundation
KeywordsMicrovesiclesProstate cancerMedicineCancerColumbia universityExtracellular vesiclesCancer researchOncologymicroRNAInternal medicineBiologySociology

Abstract

fetched live from OpenAlex

// Elham Hosseini-Beheshti 1, 3 , Wendy Choi 3 , Louis-Bastien Weiswald 4 , Geetanjali Kharmate 3 , Mazyar Ghaffari 1, 3 , Mani Roshan-Moniri 1, 3 , Mohamed D. Hassona 3 , Leslie Chan 3 , Mei Yieng Chin 3 , Isabella T. Tai 4 , Paul S. Rennie 2, 3 , Ladan Fazli 2, 3 , Emma S. Tomlinson Guns 2, 3 1 Department of Experimental Medicine University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada 2 Department of Urologic Sciences University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada 3 The Vancouver Prostate Centre University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada 4 Division of Gastroenterology, University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada Correspondence to: Emma S. Tomlinson Guns, e-mail: eguns@prostatecentre.com Keywords: exosomes, cancer development, cancer progression Received: June 17, 2015      Accepted: December 22, 2015      Published: January 28, 2016 ABSTRACT Prostate cancer (PCa) is the most frequently diagnosed cancer in men. Current research on tumour-related extracellular vesicles (EVs) suggests that exosomes play a significant role in paracrine signaling pathways, thus potentially influencing cancer progression via multiple mechanisms. In fact, during the last decade numerous studies have revealed the role of EVs in the progression of various pathological conditions including cancer. Moreover, differences in the proteomic, lipidomic, and cholesterol content of exosomes derived from PCa cell lines versus benign prostate cell lines confirm that exosomes could be excellent biomarker candidates. As such, as part of an extensive proteomic analysis using LCMS we previously described a potential role of exosomes as biomarkers for PCa. Current evidence suggests that uptake of EV’s into the local tumour microenvironment encouraging us to further examine the role of these vesicles in distinct mechanisms involved in the progression of PCa and castration resistant PCa. For the purpose of this study, we hypothesized that exosomes play a pivotal role in cell-cell communication in the local tumour microenvironment, conferring activation of numerous survival mechanisms during PCa progression and development of therapeutic resistance. Our in vitro results demonstrate that PCa derived exosomes significantly reduce apoptosis, increase cancer cell proliferation and induce cell migration in LNCaP and RWPE-1 cells. In conjunction with our in vitro findings, we have also demonstrated that exosomes increased tumor volume and serum PSA levels in vivo when xenograft bearing mice were administered DU145 cell derived exosomes intravenously. This research suggests that, regardless of androgen receptor phenotype, exosomes derived from PCa cells significantly enhance multiple mechanisms that contribute to PCa progression.

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 score0.014

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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

Citations90
Published2016
Admission routes2
Has abstractyes

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