RETRACTED: Combined anticancer effects of simvastatin and arsenic trioxide on prostate cancer cell lines via downregulation of the VEGF and OPN isoforms genes
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Bibliographic record
Abstract
Arsenic trioxide (ATO) and statins have been demonstrated to have anti-neoplastic properties; however, the data regarding their combination therapy is limited. Thus, we aimed to study the effects of ATO, Simvastatin and their combination in proliferation, apoptosis and pathological angiogenesis in prostate cancer cell lines. The human prostate cell lines were treated with different concentrations of Simvastatin and ATO alone and combined to find effective doses and IC50 values. In addition, the percentage of apoptotic cells was evaluated by annexin/PI staining, and mRNA expression levels of the apoptotic gene, including OPN isoforms and VEGF, were investigated using real-time PCR. Our data displayed that Simvastatin (12 and 8 μM in PC3 and LNCaP cell lines respectively), ATO (8 and 5 μM in PC3 and LNCaP cell lines respectively), and also their combination (12 μM Simvastatin and 8 μM ATO in PC3, 8 μM Simvastatin and 5 μM ATO in LNCaP cell lines respectively) significantly increased the percentage of apoptotic cells. Also, we showed that the combination therapy by Simvastatin and ATO increased cell apoptosis and inhibited cell proliferation, providing anti-proliferative and anti-angiogenic properties, possibly via downregulation of the expression of VEGF and OPN genes. These results provide new perceptions regarding the anticancer roles of ATO and statins' combination therapy in prostate cancer.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.011 |
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".