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Record W3186085565 · doi:10.1149/ma2021-01421718mtgabs

Electrochemical Characterization of Carboplatin at Unmodified Platinum Electrodes and Its Application to Drug Uptake Studies in Ovarian Cancer Cells

2021· article· en· W3186085565 on OpenAlexaff
Huy Tran Le Luu, Mark W. Nachtigal, Sabine Kuss

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCarboplatinOvarian cancerPharmacologyDrug resistanceMedicineDrugChemotherapyCancerOncologyInternal medicineCisplatinBiology

Abstract

fetched live from OpenAlex

Epithelial ovarian cancer affects approximately 240,000 women worldwide with an estimated of 152,000 deaths per year. Common treatments include surgery or chemotherapy using a combination of carboplatin and taxane. Unfortunately, approximately 75% patients relapse within 18 months. Of these relapsed patient, an estimate of 85% experience carboplatin resistance. The effect is devastating. One way to combat this emerging drug resistance problem is the development of novel drugs. However, cellular mechanisms of carboplatin-resistance are poorly understood. Without a thorough understanding of resistance mechanisms, developing long-lasting effective drugs for long term treatment is a challenging problem. Therefore, there is a dire need to develop methods to detect and study resistance mechanisms. One suggested mechanism is the inhibition of drug uptake to prevent the intracellular accumulation of the drug. The presented work describes the quantification of carboplatin uptake in ovarian cancer cells. For this purpose, carboplatin is thoroughly characterized by voltammetry and its suitability for physiological bioelectrochemical studies is assessed. Diffusion and adsorption processes of carboplatin are evaluated, its dependence on pH is investigated, and a limit of detection for carboplatin at unmodified Pt electrodes is identified, without the need of expensive and time-intense electrode modification strategies. The influx and efflux of carboplatin into/from ovarian cancer cells are quantified by electrochemistry to better understand mechanisms of carboplatin chemoresistance. Results emerging from this research will be important for future medical research developing novel agents to combat chemoresistance and will present the basis for future long-term funding applications under this collaboration. Reference: Luu H.T.L., Nachtigal M.W., Kuss S.: Electrochemical Characterization of Carboplatin at Unmodified Platinum Electrodes and its Application to Drug Uptake Studies in Ovarian Cancer Cells. Journal of Electroanalytical Chemistry 2020, 872C, 114253.

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)0.001
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 score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.264
Teacher spread0.250 · 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
Published2021
Admission routes1
Has abstractyes

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