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Record W2751971240

Sustained Intraperitoneal Chemotherapy via an Injectable Depot Delivery System for the Treatment of Ovarian Cancer

2012· dissertation· en· W2751971240 on OpenAlexfundno aff
Payam Zahedi

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoCanadian Institutes of Health ResearchOvarian Cancer Canada
KeywordsOvarian cancerIntraperitoneal chemotherapyDepotMedicineChemotherapyOncologyCancerInternal medicineGeography
DOInot available

Abstract

fetched live from OpenAlex

Ovarian cancer has the highest mortality rate of all gynecological malignancies, due to inadequate treatment strategies and poor early diagnosis. Intraperitoneal (IP) chemotherapy administered on an intermittent schedule has been pursued for ovarian cancer treatment. However, local toxicities and complications associated with indwelling IP catheters required to deliver the chemotherapeutics have been documented. Furthermore, shortening or completely removing treatment-free periods between each chemotherapy cycle has shown improved efficacy compared to intermittent chemotherapy. The focus of this thesis was to develop and characterize a biocompatible and biodegradable IP injectable depot sustained drug delivery system as a new treatment strategy for ovarian cancer. A polymer-lipid injectable formulation (PoLigel) was developed and used for sustained docetaxel (DTX) delivery. The PoLigel resulted in homogeneous DTX peritoneal distribution and sustained plasma levels in healthy mice, which was in contrast to Taxotere®, the clinically used formulation of DTX. Sustained plasma, tissue, tumor and ascites DTX concentrations were observed in mice bearing IP SKOV3 tumors or ID8 ascites over a 3 week period following IP administration of the PoLigel. The intratumoral distribution and tumor penetration of DTX in subcutaneous (SC) and IP SKOV3 tumors were characterized. DTX distributed more towards the tumor core and diffused 1.5 fold further from blood vessels of the IP tumors compared to the SC tumors. The high efficacy observed in the IP SKOV3 and ID8 models and the SC SKOV3 model was attributed to favorable drug distribution at the whole-body, peritoneal and intratumoral levels in combination with local and systemic sustained drug exposure. Sustained chemotherapy with DTX alone and in combination with a drug efflux transporter inhibitor was investigated in multidrug resistant (MDR) ovarian cancer. In vitro, combination delivery via the PoLigel resulted in more apoptosis, greater intracellular accumulation of DTX, and lower DTX efflux in MDR ovarian cancer cells. Sustained combination chemotherapy was more than twice as efficacious as intermittent Taxotere® treatment in MDR ovarian cancer. Significant anti-tumor efficacy was also observed in the MDR model following sustained DTX chemotherapy compared to intermittent Taxotere®. Overall, results presented here encourage the clinical investigation of IP sustained chemotherapy for ovarian cancer treatment.

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 communication0.0000.000
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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

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