Transcriptome modulation following administration of luteolin to bleomycin‐etoposide‐cisplatin chemotherapy on rat LC540 tumor Leydig cells
Why this work is in the frame
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Bibliographic record
Abstract
Leydig cell tumours represent 1%-3% of all cases of testicular tumours in men. Such tumours respond poorly to radiation or chemotherapy, including bleomycin-etoposide-cisplatin (BEP) combinatorial therapy. In this study, we investigated an alternative approach involving luteolin to improve the efficacy of chemotherapy. LC540 tumour Leydig cells were treated with BEP (bleomycin 40 µg/ml, etoposide 4 µg/ml, cisplatin 8 µg/ml) and/or luteolin 10 µM for comparison with DMSO-treated cells. We performed a transcriptome analysis using RNA-Seq to characterise changes in biological processes and signalling pathways. Treatments of LC540 tumour Leydig cells with luteolin significantly decreased the expression of genes involved in cholesterol biosynthesis, while increasing the expression of genes related to glutathione conjugation (p < .05). Genes being significantly upregulated in response to BEP treatment were involved in the response to toxic substances and transcriptional regulation. Oppositely, genes being significantly downregulated by BEP treatment were enriched for intracellular signal transduction, cell migration, cell adhesion, reproductive system development and cholesterol biosynthesis. BEP chemotherapy proved to be effective in increasing gene expression related to apoptosis of tumour Leydig cells. However, addition of luteolin to BEP treatment had no other effects on biological processes or pathways related to cancer treatment.
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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 it