RETRACTED: Sex‐Dependent Paracrine Effect of Conditioned Media From Adipose Tissue Derived Mesenchymal Stem Cells on Prostate Cancer Cells
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Bibliographic record
Abstract
ABSTRACT Considering the different behaviour of cells in response to diseases in different conditions and sex hormone‐dependent cancers, we addressed the possible effect of the sex of the source of these cells from adipose tissue on prostate cancer cells. In this in vitro study, we evaluated the effects of male and female MSC Conditioned Media (MCM, FCM) on prostate cancer cells. The assessment included Hoechst dye staining, a scratch‐wound assay, a colony formation assay, and a flow cytometric analysis of apoptosis and the cell cycle. We also performed real‐time PCR to examine various genes, including apoptosis‐related genes, epithelial‐mesenchymal transition ( EMT ) genes, angiogenesis‐related genes, and cell growth and survival biomarkers. Our results indicated that the IC 50 values were 50% and 75% media in MCM and FCM in each of the three prostate cancer cell lines, respectively. An evaluation of gene expression revealed that in all three prostate cancer cell lines, treatment with MCM was more effective than FCM in reducing the expression of N‐Cadherin and Vimentin , EGFR and BCL2 genes ( p < 0.001). Furthermore, the MCM significantly increased the expression of BAX and E‐Cadherin genes ( p < 0.001) in the PC3 cell line. MCM proved to be more effective than FCM in reducing the expression of the epithelial‐mesenchymal transition pathway, EGFR gene, and Apoptosis Regulator ( BCL2 ) in the PC3 cell line. Due to its potential in regenerative medicine and cell therapy, this approach may serve as an effective treatment option for advanced 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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".