Antioxidant, Anti-inflammatory and Cytotoxic Properties of Cancerol S, A Blend of Medicinal Plants, on Cancerous Cells in Culture
Bibliographic record
Abstract
Aims: To evaluate in vitro the properties of a blend of medicinal plants called Cancerol S through its antioxidant, anti-inflammatory and cytotoxic potential on cancerous cells in culture. Methodology: High-performance thin-film chromatography (HPTLC) and the assay test were used for phytochemical screening of Cancerol S. The antioxidant power of Cancerol s was evaluated by free radical inhibition tests (DPPH and ABTS) and the Iron III Reduction Power (FRAP). The inhibition tests of 15-LOX (15-lipoxygenase) and COX1/COX2 (cyclooxygenases) were used to evaluate the anti-inflammatory capacity of Cancerol S. Results: The total polyphenols and flavonoids content of the extract were respectively 115.6 ± 0.1 mg EAG/g and 43.4 ± 0.1 mg EQ/g dry extract. The extract showed excellent antioxidant activity, with inhibition of DPPH (EC50 = 8.3 ± 0.7 μg/mL) and ABTS (EC50 = 36.0 ± 1.1 μg/mL), and also reduced ferric ion Fe3+ (2.67 ± 0.1 mmol EAA/g extract). In addition, the extract moderately inhibited 15-LOX, COX-1 and COX-2. The HeLa cell line of cervical cancer was more sensitive to Cancerol S (EC50 = 84.6 ± 5.2 μg/mL) than the prostate cancer cell line DU 145 (EC50 = 140.7 ± 7.8 μg/mL). Conclusion: These properties give a rational basis for the use of Cancerol S in traditional medicine in Burkina Faso.
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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 | 0.001 | 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) | 0.000 | 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".