Abstract 3284: Adiposity, muscle mass and delays and dose reductions on adjuvant, taxane-based chemotherapy for breast cancer
Notice bibliographique
Résumé
Abstract Introduction: Low muscle mass and excess adiposity are thought to increase the risk of chemotherapy toxicity, leading to dose reductions or delays. Yet, few studies of body composition and chemotherapy examine patients with breast cancer; prior studies have been small and looked mainly at toxicities. Here, we evaluate whether adiposity or muscle mass and radiodensity (a measure of intramyocellular lipid accumulation) are associated with risk of dose reductions or delays among nonmetastatic breast cancer patients receiving adjuvant taxane-based chemotherapy, and whether dose reductions are associated with cancer-specific survival. Methods: Our study included 1,403 patients with stage II-III breast cancer receiving taxane-based chemotherapy at Kaiser Permanente. We evaluated body composition from clinically-acquired CT scans at diagnosis. We defined dose reductions from infusion records as relative dose intensities <0.85 (delivered v. planned dose) while on taxane therapy, and dose delays as treatments received more than 3 days later than scheduled. We defined neuropathy from diagnosis codes and hematologic toxicities from laboratory values during chemotherapy. Logistic regression models adjusted for age and dosing body surface area (BSA). Cox proportional hazards models for cancer-specific survival adjusted for age, BSA, body composition and tumor characteristics. Results: Mean (standard deviation [SD]) age at diagnosis was 53 (10) years. Higher visceral adiposity was associated with a 20% increased risk of dose reductions and a 17% increased risk of dose delays on taxane-based chemotherapy (odds ratios of 1.20; 95%CI:1.02-1.42 and 1.17; 95%CI:0.99-1.39 per SD, respectively). Higher muscle radiodensity (indicating lower intramyocellular lipid infiltration, i.e., leaner muscle) was associated with a 13% lower risk of dose reductions and a 16% lower risk of dose delays (odds ratios of 0.87; 95%CI:0.75-1.00 and 0.84; 95%CI:0.72-0.98 per SD, respectively). Muscle mass and subcutaneous adiposity were not associated with dose reductions or delays, though lower muscle mass did increase risk of hematologic toxicity. Women who experienced dose reductions on taxane-based chemotherapy had a 37% increased risk of dying from breast cancer relative to those with higher relative dose intensities (hazard ratio 1.37; 95%CI:1.01-1.85; median follow-up 6 years, 203 breast cancer deaths). Conclusions: Excess visceral adiposity and lower muscle radiodensity were associated with dose reductions and delays among breast cancer patients receiving taxane-based chemotherapy, reducing the efficacy of these life-saving therapies: women who experienced dose reductions were at higher risk of dying from breast cancer. Body composition information assessed from clinically-acquired CT scans may help identify patients for supportive interventions to mitigate toxicity. Citation Format: Elizabeth M. Cespedes Feliciano, Valerie Lee, Wendy Y. Chen, Carla M. Prado, Shlomit S. Shachar, Stacey Alexeeff, Bette J. Caan. Adiposity, muscle mass and delays and dose reductions on adjuvant, taxane-based chemotherapy for breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3284.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,001 | 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 tête enseignante, 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 ».