Silibinin suppresses in vivo growth of human prostate carcinoma PC-3 tumor xenograft
Why this work is in the frame
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Bibliographic record
Abstract
Chemoprevention is an upcoming approach to control cancer including prostate cancer (PCa). Here, we studied the efficacy and associated mechanisms of a chemopreventive agent silibinin against ectopically growing and established advanced human prostate carcinoma PC-3 tumor xenografts in athymic nude mice. Dietary silibinin (0.5%, w/w) did not show any adverse health effect in mice. In first protocol, silibinin started 1 week prior to xenograft implantation and continued for 60 additional days, whereas in the second protocol, silibinin treatment was started after 25 days of established tumors for 4, 8 and 16 days. Silibinin inhibited tumor growth rate in both protocols showing up to 35% (P = 0.010) and 18-56% (P = 0.002 to <0.001) decrease in tumor volume per mouse and 27% (P < 0.01) and 44% (P = 0.014) decrease in tumor weight per mouse, respectively. In first protocol, silibinin decreased (P < 0.001) tumor cell proliferation and microvessel density but increased (P < 0.001) apoptosis. An increase in insulin-like growth factor-binding protein-3 (IGFBP-3) expression with a concomitant decrease in vascular endothelial growth factor (VEGF) expression was noted. Silibinin strongly increased phospho-extracellular signal-regulated kinase 1/2 (ERK1/2), Cip1/p21 and Kip1/p27 (cyclin-dependent kinase inhibitors) levels but moderately decreased Bcl-2 and survivin levels. In established tumors, similar biomarkers and molecular changes were observed due to silibinin corresponding to its antitumor efficacy. These findings identified in vivo antitumor efficacy of silibinin against PC-3 human PCa in both intervention protocols accompanied with its anti-proliferative, pro-apoptotic and anti-angiogenic activities. At molecular level, silibinin increased IGFBP-3, Cip1/p21, Kip1/p27 levels and ERK1/2 activation and decreased Bcl-2, survivin and VEGF levels in tumors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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