Investigation of Lupeol as Anti-Melanoma Agent: An In Vitro-In Ovo Perspective
Bibliographic record
Abstract
Malignant melanoma (MM) represents the most life-threatening skin cancer worldwide, with a narrow and inefficient chemotherapeutic arsenal available in advanced disease stages. Lupeol (LUP) is a triterpenoid-type phytochemical possessing a broad spectrum of pharmacological properties, including a potent anticancer effect against several neoplasms (e.g., colorectal, lung, and liver). However, its potential as an anti-melanoma agent has been investigated to a lesser extent. The current study focused on exploring the impact of LUP against two human MM cell lines (A375 and RPMI-7951) in terms of cell viability, confluence, morphology, cytoskeletal distribution, nuclear aspect, and migration. Additionally, the in ovo antiangiogenic effect has been also examined. The in vitro results indicated concentration-dependent and selective cytotoxicity against both MM cell lines, with estimated IC50 values of 66.59 ± 2.20 for A375, and 45.54 ± 1.48 for RPMI-7951, respectively, accompanied by a reduced cell confluence, apoptosis-specific nuclear features, reorganization of cytoskeletal components, and inhibited cell migration. In ovo, LUP interfered with the process of angiogenesis by reducing the formation of neovascularization. Despite the potential anti-melanoma effect illustrated in our in vitro-in ovo study, further investigations are required to elucidate the underlying LUP-induced effects in A375 and RPMI-7951 MM cells.
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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".