Lack of Effect of Coenzyme Q10 on Doxorubicin Cytotoxicity in Breast Cancer Cell Cultures
Bibliographic record
Abstract
UNLABELLED: BACKGROUND/HYPOTHESES: Doxorubicin is a standard adjuvant therapy for early-stage breast cancer, and it significantly improves disease-free and overall survival. However, 3% to 20% of breast cancer patients develop chronic cardiomyopathic changes and congestive heart failure because of doxorubicin therapy. Doxorubicin-induced cardiotoxicity is thought to be due to the increased generation of reactive oxygen species within cardiac myocyte mitochondria. Coenzyme Q10 (CoQ10) is a lipid-soluble antioxidant that may protect against mitochondrial reactive oxygen species and thus prevent doxorubicin-induced cardiotoxicity. Despite the potential benefits of CoQ10 in preventing cardiotoxicity, it is not known if CoQ10 diminishes the antineoplastic effects of doxorubicin therapy. STUDY DESIGN: In vitro cell culture experiments. METHODS: Breast cancer cell lines (MDA-MB-468 and BT549) were tested for their ability to uptake exogenous CoQ10 using high-performance liquid chromatography. Breast cancer cell lines were then treated with doxorubicin and a range of CoQ10 concentrations to determine the effect of CoQ10 on doxorubicin's cytotoxicity. RESULTS: This study demonstrated that intracellular and mitochondrial CoQ10 concentrations increased substantially as higher exogenous concentrations were administered to breast cancer cells. CoQ10 had no effect on the ability of doxorubicin to induce apoptosis or inhibit growth or colony formation in both the cell lines tested when applied over a wide dose range, which encompassed typical basal plasma levels and plasma levels above those typically achieved by supplemented patients. CONCLUSION: The clinical testing of CoQ10 as a supplement to prevent doxorubicin-induced cardiotoxicity requires confidence that it does not decrease the efficacy of chemotherapy. These results support the hypothesis that CoQ10 does not alter the antineoplastic properties of doxorubicin. Further in vivo studies, as well as combination chemotherapy studies, would be reassuring before a large-scale clinical testing of CoQ10 as a cardioprotective drug.
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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) | 0.002 | 0.001 |
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".