Anticancer Activity of Oldenlandia Diffusa & Viola Philippica Car
Bibliographic record
Abstract
Oldenlandia diffusa (OD, Bai Hua She She Cao) and Viola philippica Car. (VPC, Zi Hua Di Ding) are both commonly used traditional Chinese medicine (TCM). Although studies have demonstrated their anticancer activities on cancer cells both in vitro and in vivo, no systematic reports were carried out. The objective of this study was to examine their cytotoxic activities in vitro. We used the ethanol extracts of these two herbs and examined their cytotoxic effect on four cancer cell lines and two non-cancer cell lines using an MTT cytotoxicity assay. The results showed that the ethanol extracts of OD and VPC effectively inhibited the growth of all the cancer cell lines, particularly MiaPacA-2 cancer cells. Significantly less cytotoxicity was observed in non-cancer cell line NIH3T3. We also tested the drug sensitivity of OD and VPC in a P-glycoprotein (P-gp) overexpressing multidrug resistant cell line KB-C2. Our results showed that OD and VPC can potently inhibit the growth of KB-C2 cells. Therefore, this study has revealed the remarkable anticancer activity of these two TCMs. To the best of our knowledge, this is the first report that shows potential anticancer activity in multidrug resistant cells in extracts of OD and VPC using scientific methods of evaluation.
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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 | 0.001 | 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".