Anticancer activity of sinapic acid by inducing apoptosis in HT-29 human colon cancer cell line
Bibliographic record
Abstract
Colorectal cancer is the third most lethal and fourth most commonly diagnosed cancer worldwide. Sinapic acid, a derivative of hydroxycinnamic acid, is a promising phytochemical exhibiting numerous pharmacological activities in various systems. It is a substantial chain-breaking antioxidant that operates as a radical scavenger. The aim of this research was to investigate the antiproliferative effect of sinapic acid on the HT-29 cell line besides the mechanisms underlying this activity. The effect of sinapic acid on the viability of HT-29 cell line was investigated using XTT assay. The levels of BCL-2, cleaved caspase 3, BAX, cleaved PARP, and 8-oxo-dG were measured using ELISA. Gamma-H2AX and cytochrome c expressions were assessed semiquantitatively using immunofluorescence staining. Sinapic acid at 200 µm and higher doses produced a significant antiproliferative effect on HT-29 cells. The IC50 value was found to be 317.5 µm for 24 h. Sinapic acid (317.5 µm) significantly elevated cleaved caspase 3, BAX, cleaved PARP, and 8-oxo-dG levels. The levels of gamma-H2AX foci are significantly higher, while the levels of cytochrome c are lower in sinapic acid-treated HT-29 cells. These results indicate that sinapic acid has antiproliferative, apoptotic, and genotoxic effects on colon cancer cells.
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.
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) | 0.002 | 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".