Effect of extremely low frequency electromagnetic field parameters on the proliferation of human breast cancer.
Abstract
Extremely low-frequency electromagnetic field (ELF-EMF) exposures influence many biological systems. These effects are mainly related to the intensity, duration, frequency, and pattern of the ELF-EMF. Our intent was to characterize the effect of specific pulsed electromagnetic fields on the in vitro proliferation of MCF-7 adenocarcinoma and MDA-MB-231 breast cancer cell lines and one non-cancerous M10 breast epithelial cell line. The following four important parameters of ELF-EMF were examined: frequencies (7.83 ± 0.3, 23.49 ± 0.3, and 39.15 ± 0.3 Hz), flux density (0.5 and 1 mT), exposure duration (12, 24, and 48 h), and the exposure methodology (continuous exposure versus switching exposure). The viability of MDA-MB-231 cells exposed to the optimized ELF-EMF pattern (7.83 ± 0.3 Hz, 1 mT, and 6 h switching exposure) was 40.1%. By contrast, the optimized ELF-EMF parameters that were most cytotoxic to breast cancer MDA-MB-231 cells were not damaging to normal M10 cells. In vitro studies also showed that exposure of MDA-MB-231 cells to the optimized ELF-EMF pattern promoted Ca influx and resulted in apoptosis. These data confirm that exposure to this specific ELF-EMF pattern can influence cellular processes and inhibit cancer cell growth. The specific ELF-EMF pattern determined in this study may provide a potential anti-cancer treatment in the future.
AI evidence extraction
Main findings
Pulsed ELF-EMF parameters (frequency, flux density, duration, and exposure methodology) were evaluated for effects on in vitro proliferation/viability of MCF-7 and MDA-MB-231 breast cancer cells and M10 normal breast epithelial cells. An optimized switching exposure pattern (7.83 ± 0.3 Hz, 1 mT, 6 h switching exposure) reduced MDA-MB-231 cell viability to 40.1% and was reported as not damaging to M10 cells; in MDA-MB-231 cells it promoted Ca influx and resulted in apoptosis.
Outcomes measured
- Cell proliferation/viability
- Cytotoxicity to cancer vs normal cells
- Calcium (Ca) influx
- Apoptosis
Limitations
- In vitro cell-line study; findings may not translate to in vivo or clinical outcomes
- Sample size/replication and statistical details not provided in abstract
- Exposure source/device and detailed dosimetry beyond frequency/flux density not described in abstract
View raw extracted JSON
{
"study_type": "in_vitro",
"exposure": {
"band": "ELF",
"source": null,
"frequency_mhz": null,
"sar_wkg": null,
"duration": "12, 24, and 48 h (tested); optimized pattern included 6 h switching exposure"
},
"population": "Human breast cancer cell lines (MCF-7, MDA-MB-231) and non-cancerous breast epithelial cell line (M10) in vitro",
"sample_size": null,
"outcomes": [
"Cell proliferation/viability",
"Cytotoxicity to cancer vs normal cells",
"Calcium (Ca) influx",
"Apoptosis"
],
"main_findings": "Pulsed ELF-EMF parameters (frequency, flux density, duration, and exposure methodology) were evaluated for effects on in vitro proliferation/viability of MCF-7 and MDA-MB-231 breast cancer cells and M10 normal breast epithelial cells. An optimized switching exposure pattern (7.83 ± 0.3 Hz, 1 mT, 6 h switching exposure) reduced MDA-MB-231 cell viability to 40.1% and was reported as not damaging to M10 cells; in MDA-MB-231 cells it promoted Ca influx and resulted in apoptosis.",
"effect_direction": "benefit",
"limitations": [
"In vitro cell-line study; findings may not translate to in vivo or clinical outcomes",
"Sample size/replication and statistical details not provided in abstract",
"Exposure source/device and detailed dosimetry beyond frequency/flux density not described in abstract"
],
"evidence_strength": "low",
"confidence": 0.7800000000000000266453525910037569701671600341796875,
"peer_reviewed_likely": "yes",
"keywords": [
"ELF-EMF",
"pulsed electromagnetic field",
"breast cancer",
"MCF-7",
"MDA-MB-231",
"M10",
"frequency",
"flux density",
"switching exposure",
"cell viability",
"calcium influx",
"apoptosis"
],
"suggested_hubs": []
}
AI can be wrong. Always verify against the paper.
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