2331 ASSOCIATION OF ADIPOKINES WITH PROSTATE CANCER AND HIGH GRADE DISEASE DEPENDS ON BODY MASS INDEX
Notice bibliographique
Résumé
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 ...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,186 | 0,037 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».