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Record W2028987548 · doi:10.1158/1538-7445.am10-4150

Abstract 4150: Exploration of the role of Hsps in exosome derived from prostate cancer cells

2010· article· en· W2028987548 on OpenAlexaff
Elham Hosseini‐Beheshti, Amina Zoubeidi, Ka Mun Nip, Martin Gleave, Emma S. Tomlinson Guns

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsPrevention of Organ FailureUniversity of British Columbia
Fundersnot available
KeywordsProstate cancerExosomeCancer researchMetastasisHsp27Androgen deprivation therapyCancerMedicineAndrogen receptorCancer cellAndrogenInternal medicineMicrovesiclesBiologyEndocrinologyHeat shock proteinHormoneHsp70microRNA

Abstract

fetched live from OpenAlex

Abstract Introduction: Prostate cancer (PCa) is the leading type of cancer diagnosed in men. In 2007 approximately 218, 890 new cases of prostate cancer were reported in the United States (American Cancer Society). Initially the disease is locally confined to the prostate and is hormone or androgen-dependent. It is curable at this stage upon surgical or radiation treatment however, with time, which varies from months to years, many prostate cancers metastasize and even with aggressive hormone ablation treatment approaches, progress to castration resistance (CRPC) and lethality. During early metastasis a response to androgen deprivation therapy (ADT) is usually observed however despite a reduction in androgen levels after ADT, androgen receptor remains active contributing to CRPC progression. Hsp27 is a stress-activated cytoprotective chaperone, up-regulated in CRPC, which predicts a poor prognosis and confers hormone and chemo-resistance in animal models. Targeting Hsp27 using antisense delays time post castration and enhances taxane activity. Recent studies linked cancer with exosome formation; exosomes are 30-100 nm membrane-bound compartment secreted form normal and tumor cells. The mechanisms underlying exosome formation and secretion are not fully understood. Factors such as stage of cancer, cell type and cell cycle could affect the amount and composition of exosomes formed and secreted. Since Hsp27 is up-regulated in CRPC, we hypothesize that Hsp27 can influence exosome formation in androgen independent PCa. Methods-Results: PC3 cells were seeded and grown in Dulbecco's modified Eagle's medium (DMEM) with 5% fetal bovine serum until 70% confluency. Media was changed to 5% charcoal strip serum DMEM and finally to a serum free media for 72 hours before exosome isolation. Exosomes were purified from the conditioned media using differential centrifugation after remove cell debris and protein aggregates. Further analysis by transmission electron microscopy detected the integrity of purified exosomes. Western blot analysis was also used to probe for different exosome markers including Actin, Tubulin, TSG 101, HSP70 and CD36. In this study, we functionally analyzed the role of Hsp27 in relation to exosome formation from androgen independent prostate cancer cells. Hsp27 was knocked down in PC3 cells using siRNA, and confirmed with western blot analysis. The relative content of Hsp27 in exosomes mirrors and is therefore reflective of that found in cells. Upon Hsp27 knockdown in PC3 cells we can also observe that Hsp27 does not influence exosome formation. Conclusion: Hsp27 chaperone protein is expressed within exosomes, perhaps serving as a novel exosome marker in prostate cancer cell, while Hsp27 knockdown does not affect exosome formation. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4150.

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 integrity0.0000.000
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 head0.043
GPT teacher head0.369
Teacher spread0.327 · 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
Published2010
Admission routes1
Has abstractyes

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