Abstract 3583: Elevated inflammatory and hematological markers and survival in patients with renal cell carcinoma
Notice bibliographique
Résumé
Abstract Background: Growing evidence suggests the hypothesis that inflammatory and hematological markers may be related to cancer risk and survival; however, there is limited evidence for its relationship to renal cell carcinoma (RCC) survival. We therefore examined whether preoperative clinical biomarkers related to inflammatory and hematological responses, including erythrocyte sedimentation rate [ESR], alkaline phosphatase [ALP], white blood cell [WBC] count, hemoglobin [Hb] and hematocrit [Hct], predicted prognosis and survival in RCC patients. Methods: Data were collected retrospectively from 1,543 RCC patients treated with either radical- (n=1,259) or partial nephrectomy (n=284) in the Department of Urology at the Samsung Medical Center between 1994 and 2008. The primary endpoint evaluated was overall survival (OS), cancer-specific survival (CSS) and other-cause survival (OCS). Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards models with adjustment for other clinical risk factors for RCC mortality. Results: During a median follow-up of 44 months, a total of 208 (13%) patients died of all-cause, 174 (11%) died of cancer and the other 35 died of other-cause (2%). We found statistically significant associations of decreasing OS and CSS with increasing levels of ESR; HRs (95% CIs) were 1.64 (1.03-2.61; p-trend=0.009) for OS and 2.24 (1.29-3.88; p-trend=0.001) for CSS comparing top with bottom tertiles. Also, increase in ALP levels was associated with decreasing OS and CSS; comparing top with bottom tertiles, HR (95% CI) were 2.01 (1.30-3.11; p-trend=0.002) for OS and 2.27 (1.37-3.74; p-trend=0.002) for CSS. There was no association for OCS in relation to levels of ESR and ALP. For hematological markers, we found increasing OS, CSS, and OCS with increasing levels of Hb and Hct. Notably, inverse association was stronger for OCS than OS or CSS; HRs (95% CI)s for OCS were 0.24 (0.09-0.68; p-trend=0.006) for Hb and 0.14 (0.05-0.41; p-trend<0.001) for Hct. In sensitivity analyses in which we excluded patients who died during the first 2 years of follow-up (n=98) or those who had metastasis (n=90), similar patterns of the associations were observed. When we limited the analysis to patients who did not have weight loss or symptom or those who had low stage, we still found improved OS or CSS with decreasing levels of ESR and ALP or increasing levels of Hb and Hct. Conclusions: These findings from a large clinical-based cohort suggest that increasing levels of inflammatory prognostic indicators, but decreasing levels of hematological markers are associated with worse survival among RCC patients treated with nephrectomy. Our findings support the hypothesis that ESR, ALP, Hb and Hct could be potential prognostic indicators for RCC survival. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3583. doi:1538-7445.AM2012-3583
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».