A study of high‐dose oral silybin‐phytosome followed by prostatectomy in patients with localized prostate cancer
Bibliographic record
Abstract
BACKGROUND: Silibinin is a polyphenolic flavonolignan derived from milk thistle (Silybum marianium) with anti-oxidant properties. The purpose of the current trial was to determine the tissue and blood effects of high-dose silybin-phytosome in prostate cancer patients. METHODS: Subjects with localized prostate cancer planning for a prostatectomy were eligible to enroll. Six patients received 13 g of silybin-phytosome daily with six additional participants serving as control subjects. RESULTS: Patients in the treatment arm received silybin-phytosome for 14-31 days (mean was 20 days) prior to surgery. Silibinin blood levels were measured 1 hr after the first silybin-phytosome dose with a mean value of 19.7 microM. Trough silibinin levels were assessed at the end of the trial with an average concentration of 1.2 microM. In contrast to the high peak levels of silibinin observed in blood, the highest silibinin level observed in the harvested prostate tissue was 496.6 pmol/g. There were no significant differences noted in baseline and post-treatment blood levels of IGF-I and IGFBP-3. One of the treated patients developed a grade 4 post-operative thromboembolic event. The other observed toxicities in the treatment group were mild: four subjects had diarrhea and one had asymptomatic grade 2 hyperbilirubinemia which was transient. CONCLUSIONS: High-dose oral silybin-phytosome achieves high blood concentrations transiently, but low levels of silibinin are seen in prostate tissue. Silibinin's lack of tissue penetration may be explained by its short half-life, the brief duration of therapy in this study or an active process removing silibinin from the prostate.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".