2331 ASSOCIATION OF ADIPOKINES WITH PROSTATE CANCER AND HIGH GRADE DISEASE DEPENDS ON BODY MASS INDEX
Bibliographic record
Abstract
You have accessJournal of UrologyProstate Cancer: Markers1 Apr 20112331 ASSOCIATION OF ADIPOKINES WITH PROSTATE CANCER AND HIGH GRADE DISEASE DEPENDS ON BODY MASS INDEX Greg Trottier, Michael K. Connor, Jordan Zeppieri, David Margel, Kimberly A. Fernandes, Antonio Finelli, Andrew Evans, Theodorus H. van der Kwast, Ants Toi, Karen Hersey, and Neil E. Fleshner Greg TrottierGreg Trottier Toronto, Canada More articles by this author , Michael K. ConnorMichael K. Connor Toronto, Canada More articles by this author , Jordan ZeppieriJordan Zeppieri Toronto, Canada More articles by this author , David MargelDavid Margel Toronto, Canada More articles by this author , Kimberly A. FernandesKimberly A. Fernandes Toronto, Canada More articles by this author , Antonio FinelliAntonio Finelli Toronto, Canada More articles by this author , Andrew EvansAndrew Evans Toronto, Canada More articles by this author , Theodorus H. van der KwastTheodorus H. van der Kwast Toronto, Canada More articles by this author , Ants ToiAnts Toi Toronto, Canada More articles by this author , Karen HerseyKaren Hersey Toronto, Canada More articles by this author , and Neil E. FleshnerNeil E. Fleshner Toronto, Canada More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2011.02.2578AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Diet and obesity are associated with prostate cancer (PCa). We set out to determine if a group of serum adipokines were associated with PCa or high grade (HG) disease at biopsy. METHODS Prospectively collected serum specimens from the GU Biobank at the Princess Margaret Hospital were utilized. From this biobank, 50 patients with Gleason 6 PCa, 50 patients with HG Gleason ≥7 PCa and 100 patients with negative biopsies were randomly chosen in a case-control fashion. For each group 50% of patients were chosen with a BMI ≤27 and 50% were chosen with a BMI >27. A panel of 11 adipokines (Adiponectin, leptin, PAI, Resistin, HGF, IL-1beta, IL-6, IL-8, MCP1, NGF, TNF alpha) were assayed from each patient. Association of adipokines with PCa or HG PCa was evaluated by receiver operating characteristic curve (ROC)/area under the curve (AUC) analysis and univariate logistic regression (LR). RESULTS This patient cohort had a median PSA of 5.8 ng/ml, a median age of 62 years and a median BMI of 27.2 kg/m2. None of the adipokines correlated with BMI except leptin (p<0.01). There were no significant correlations between individual adipokines. ROC analysis showed that Resistin (AUC 0.64; 95% CI 0.5–0.74) and MCP-1 (AUC 0.61; 95% CI 0.49–0.72) were the top ranked markers for discriminating cancer from no cancer among those with a BMI ≤27. In those with a BMI >27, IL-1 beta (AUC 0.61; 95% CI 0.49–0.72) and IL-6 (AUC 0.61; 95% CI 0.49–0.70); displayed the best discrimination. In the case of HG disease, NGF (AUC 0.69; 95% CI 0.57–0.81) and IL-1 beta (AUC 0.66; 95% CI 0.54–0.78) were most predictive among those with a BMI >27, while neither were predictive in the lower BMI group. Conversely, MCP-1 (AUC 0.61; 95% CI 0.47–0.73) and adiponectin (AUC 0.60; 95% CI 0.45–0.74) demonstrated the highest discrimination among those with a BMI ≤27. Using LR, only MCP-1 (OR 1.83, p=0.05) was associated with PCa among the low BMI group, while none of the markers were significant in the high BMI group. By contrast, NGF (OR 2.61; p=0.01) and IL-1 beta (OR 2.46; p=0.03) maintained an association with HG disease among the high BMI group, with none of the markers being significant in the lower BMI group. CONCLUSIONS Several adipokines demonstrate potential as predictive markers of PCa when BMI stratified. Of note, NGF was the only adiopkine with selective discrimination for HG PCa. © 2011 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 185Issue 4SApril 2011Page: e934-e935 Advertisement Copyright & Permissions© 2011 by American Urological Association Education and Research, Inc.MetricsAuthor Information Greg Trottier Toronto, Canada More articles by this author Michael K. Connor Toronto, Canada More articles by this author Jordan Zeppieri Toronto, Canada More articles by this author David Margel Toronto, Canada More articles by this author Kimberly A. Fernandes Toronto, Canada More articles by this author Antonio Finelli Toronto, Canada More articles by this author Andrew Evans Toronto, Canada More articles by this author Theodorus H. van der Kwast Toronto, Canada More articles by this author Ants Toi Toronto, Canada More articles by this author Karen Hersey Toronto, Canada More articles by this author Neil E. Fleshner Toronto, Canada More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.186 | 0.037 |
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".