Specifically Targeted Electromagnetic Fields Arrest Proliferation of Glioblastoma Multiforme U-87 Cells in Culture
Bibliographic record
Abstract
BACKGROUND/AIM: Glioblastoma multiforme is an aggressive primary tumor that arises in the glial cells of the brain. Standardized first-line treatment has considerable morbidity and less than one-year median survival after intervention. Ultra-low intensity electromagnetic fields have been shown to interact with biological organisms without anticipated deleterious side-effects. The aim of the study was to determine if a novel, non-invasive application of non-ionizing radiation has an inhibitory effect on proliferation of glioblastoma multiforme cells. MATERIALS AND METHODS: U-87 MG cells were continuously exposed for 54 h to an electromagnetic field tuned to simultaneously interact with DNA/RNA oligonucleotides (mutated alpha-kinase 2 gene/Hsa-miR-381-5p respectively) and proteins (HSP70/CHI3L1). RESULTS: Exposed cells demonstrated a significant inhibition of cell growth and concurrent increase in cell death. CONCLUSION: This technology induces cell death by novel non-cytotoxic mechanisms unlikely to induce side-effects in patients; can be customized for individual tumors and may contribute to the emerging strategy of personalized medicine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".