EXTH-56. CLINICALLY DELIVERABLE DEEP BRAIN STIMULATOR GENERATED ELECTRICAL FIELDS HAVE PROFOUND EFFECTS ON GLIOBLASTOMA MULTIFORME CELL LINES
Bibliographic record
Abstract
Phase III trials of the Optune system which utilises Tumour Treating Fields (TTFields) have shown positive results in both primary, and recurrent adult Glioblastoma multiforme (GBM) patients. These results have given strength to the feasibility of electromagnetic fields as a therapy for brain tumour patients. Here we present the repurposing deep brain stimulation (DBS) electrodes as a novel delivery system of therapeutic electric fields to GBM cell lines. Medtronic DBS electrodes were inserted into cell culture flasks and delivered clinically relevant electric fields over a range of frequencies and intensities to our panel of GBM cell lines. The effects of DBS treatment on cell viability, cell cycling, long-term effects of treatment, as well as genome-wide expression via microarray were analysed. GBM cells were also treated in a combinational fashion with mitotic inhibitors to enhance efficacy. DBS electric fields negatively affect cell proliferation and viability of our commercial and primary GBM cell lines over a range of clinically relevant DBS settings. The magnitude of these effects were dependent upon frequency, intensity and the number of DBS leads. Cells treated with DBS were re-seeded and growth rates were compared to non-treated cells. The treated cells experienced up to 50% slower growth rates following treatment. Cell cycle analysis revealed that DBS treated cells have significant levels of G0 phase accumulation relative to control flasks. The effects of electrotreatment on gene expression will be discussed. Efficacy of DBS may be increased with the addition of paclitaxel and mebendazole. DBS treatment has demonstrated efficacy against our array of GBM cell lines. The treatments offers an alternative electric fields treatment to TTFields, which has different mechanisms of action at the cellular level and this is reflected in our data.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".