Anticancer activities of selected Emirati Date (Phoenix dactylifera L.) varieties pits in human triple negative breast cancer MDA-MB-231 cells
Bibliographic record
Abstract
L.) is an important fruit crop with significant pharmaceutical potential. Little data are available on comparative pharmaceutical importance of the date pits. We designed this study to assess the antitumorigenic effects of date palm pits extracts from different Emiratis varieties. We used MDA-MB-231 cells derived from triple negative breasts cancer tissues as a model. We found that out of the 17 date pits extracts from 6 Emiratis varieties, three (Khalas extract in water + acetone (1:1), Abu-Maan extract in MeOH + Chloroform (1:1) and Mabroom extract in water + acetone (1:1)) were found effectively cytotoxic and changed morphology of cells in dose and time dependent manner. We found the maximum effect at 2.5 mg/mL concentration at 72 h. We calculated IC50 values for these varieties at 24 h. IC50 values for Khalas, Abu-Maan and Mabroom were 0.982 mg/mL, 1.149 mg/mL and 2.213 mg/mL respectively. We treated the cells with IC50 values of extracts and observed changes in protein profile using human kinase array kit. After analyzing the results, we suggest that EGFR/ERK/FAK pathway, eNOS and src family proteins are targets of these extracts. We conclude that date pits extracts can be a possible therapeutic agent against cancer and we suggest further studies.
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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".