Methanolic Leaves Extract of Ziziphus spina-christi Inhibits Cell Proliferation and Migration of HER2-Positive Breast Cancer via p38 MAPK Signaling Pathway
Bibliographic record
Abstract
Human epidermal growth factor receptor 2 (HER2) is a subtype of breast cancer that is associated with poor prognosis and low survival rates. The discovery of novel anti-cancer agents to manage this subtype of cancer is still needed. Ziziphus spina-christi (ZSC) is a plant species that is native to Qatar. It exerts various biological activities, including cytotoxicity as it contains different essential bioactive constituents, mainly rutin and quercetin. To examine the outcome of ZSC on HER2-positive breast cancer, we standardized the ZSC methanolic leaves extracted by Reverse Phase High-Performance Liquid Chromatography (RP-HPLC) analysis using the flavonoids rutin and quercetin as marker compounds. Here we used two HER2-positive breast cancer cell lines, ZR-75-1 and SK-BR-3, and the chorioallantoic membrane as an angiogenesis model. We found that ZSC extract significantly reduces viability, alters the normal morphological phenotype of HER2-positive breast cancer cells, and inhibits cell migration as well as colony formation; this is accompanied by deregulating different apoptotic markers such as Bax/Bcl-2 and NF-κB in both cell lines. Additionally, ZSC methanolic extract significantly represses the angiogenesis of the chorioallantoic membrane model. Moreover, the molecular pathway investigations pointed out that ZSC extract represses the activity of HER2 and p38 MAPK which could be the main pathways behind the effect of ZSC in HER2-positive cells. Collectively, our results support the potential role of ZSC in the management of HER2-positive breast cancer and form the basis for future investigations.
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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 | 0.000 | 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) | 0.000 | 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".