Impact of adipose tissue on prostate cancer aggressiveness – analysis of a high-risk population
Bibliographic record
Abstract
Background We investigated whether visceral adiposity is associated with more aggressive disease at prostatectomy. Materials and methods Four hundred and seventy-four patients referred for postoperative adjuvant or salvage radiotherapy were included in this study. Primary endpoints were positive surgical margins (pSM) or extracapsular extension (ECE). Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were manually contoured. Univariate and multivariate logistic regression was performed. Results In univariate analysis, VAT volume (p = 0.006), adipose tissue ratio (VAT/SAT, p = 0.003), density of the SAT (p = 0.04), as well as age (p < 0.001) were associated with pSM. In the univariate analysis, SAT density was associated with a trend towards a higher rate of ECE (p = 0.051) but visceral fat volume (p = 0.01), as well as the adipose tissue ratio (p = 0.03) were both protective factors. None of the adipose tissue measurements or BMI had an influence on biochemical recurrence or overall survival (all p ≥ 0.5). Conclusions SAT-volume and increased SAT-density were generally associated with more aggressive prostate cancers whereas VAT as a protective factor. These findings emphasize a possible mechanism for the association between obesity and prostate cancer aggressiveness.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".