Anticancer activities of selected Emirati Date (Phoenix dactylifera L.) varieties pits in human triple negative breast cancer MDA-MB-231 cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it