Tracking carboplatin chemoresistance in ovarian cancer by scanning electrochemical microscopy
Bibliographic record
Abstract
Drug resistance in cancer presents a significant challenge in oncology, contributing to most chemotherapy failures. Early detection of drug resistance is crucial for improving treatment outcomes. Ovarian cancer is often treated with platinum-based drugs, such as carboplatin (CBDCA), but unfortunately, resistance to these compounds is common. The exact mechanisms behind platinum-based drug-resistance remain unclear. This research demonstrates the use of scanning electrochemical microscopy (SECM) to track the cellular response to chemotherpeutic exposure through the quantification of glutathione, a cellular antioxidant, as a biomarker for cellular drug resistance. In the presence of the redox mediator ferrocenemethanol, SECM successfully tracks differential cell redox behaviours in CBDCA-susceptible and CBDCA-resistant ovarian cancer cell models in response to chemotherapeutic exposure. The presented study highlights the potential of using electrochemistry to detect and quantify chemoresistance in cell samples within minutes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".