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Record W7024497935

The role of extracellular vesicles in the transfer of multidrug resistance in human ovarian cancer cells

2018· dissertation· en· W7024497935 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2018
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsnot available
Fundersnot available
KeywordsDrugPaclitaxelEffluxChinese hamster ovary cellMultiple drug resistance
DOInot available

Abstract

fetched live from OpenAlex

Ovarian cancer is the fifth most common cancer in Canadian women and has the highest mortality rate of all gynecologic malignancies. First-line treatment is typically cytoreductive surgery followed by a combination of paclitaxel and carboplatin. Unfortunately, patients frequently relapse with drug resistant disease, and only 45% of patients survive beyond 5 years. Drug resistance results from multiple mechanisms, one of which is mediated by one or more of the ATP-binding cassette (ABC) drug efflux transporters. The two ABC transporters considered clinically relevant in ovarian cancer are P-glycoprotein (P-gp) and multidrug resistance protein 1 (MRP1). These plasma membrane transporters can efflux an array of solutes from the cell, including paclitaxel. Extracellular vesicles (EVs) are a collective term for nano-sized membrane vesicles released from all mammalian cells that can serve as cell-free vehicles to deliver a variety of biomolecules to recipient cells. The human ovarian cancer cell lines A2780 and 2008, and their drug resistant variants, AD645 and 2008/MRP1, which overexpress P-gp and MRP1, respectively, were used to investigate whether transporter-containing EVs can transfer drug resistance to sensitive cells. All four cell lines were shown to release EVs isolated by differential ultracentrifugation (DUC) and size-exclusion chromatography (SEC), as indicated by the presence of EV markers CD63, CD81, and syntenin-1 in immunoblots of EV extracts. P-gp and MRP1 were also detected in EV extracts from AD645 and 2008/MRP1 cells, respectively. DUC- isolated AD645 EVs appeared toxic to A2780 recipient cells and there was no detectable transfer of paclitaxel resistance after co-culture. SEC-isolated AD645 EVs were more enriched than DUC-isolated EVs for CD63, CD81, and syntenin-1, and appeared less toxic to A2780 cells. However, P-gp was not enriched in SEC-isolated AD645 EVs and there was no detectable ii transfer of paclitaxel resistance or P-gp to A2780 cells. These observations suggest that the amount of functional P-gp transferred to recipient cells was insufficient to confer detectable resistance. These studies suggest that although P-gp and MRP1 can be detected in cellular material consistent with the presence of EVs, additional experiments are needed to optimize isolation of transporter-enriched EVs and co-culture conditions to detect the transfer of drug resistance.

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 score0.001
Threshold uncertainty score0.003

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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
Published2018
Admission routes1
Has abstractyes

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