Abstract 4258: Influence of lifestyle factors on adipocyte size in human breast tissue
Notice bibliographique
Résumé
Abstract Background: Accumulating epidemiological studies positively associate healthy body mass index (BMI) and higher physical activity with lowered risk of postmenopausal breast cancer. Many of the proposed biomarkers underlying these associations, such as insulin, inflammatory markers, steroid hormones, and adipokines, are produced or regulated by adipose tissue. However, the biological impact of lifestyle factors at the level of the breast tissue, particularly adipose tissue in the breast, is unclear and may play a role in the etiology of breast cancer. Methods: Using a cross-sectional design, we examined the impact of demographic and lifestyle factors on histological features of breast adipose tissue. Women (age) undergoing reduction mammoplasty surgery were consented to collection of their cancer-free breast tissue at the time of surgery. An adipose rich section of the sample was dissected under sterile conditions and formalin fixed. Samples were sectioned at 7 µm thickness and stained with hematoxylin and eosin. The stained sections were imaged and mean adipocyte size was determined as diameter (µm) from 3 randomly selected areas at 10X magnification and each sample was scored by two independent assessors using Image J software. BMI status documented at the time of surgery was abstracted form medical records. A subset of women completed an additional visit where percent total body fat was measured by air displacement plethysmography and aerobic fitness (VO2peak) was measured by a maximal graded exercise test with expired gas collection. The association between adipocyte size and demographic/lifestyle factors was examined using multivariate linear regression adjusted for age and menopausal status. Results: Participants (n=42) were primarily Caucasian (77%) and pre/peri-menopausal (62%), with a mean age of 44.6±12.9 years (range 19-70) and mean BMI of 27.7±5.1 kg/m2 (range 19.1-37.4). Adipocyte size was associated with BMI (per 5 kg/m2 increase, β = 5.6±2.15, p=0.01) and number of pregnancies (β = 6.04±2.34, p=0.02), but not age (β = 0.1±0.3, p=0.81). In the subset of participants who completed an additional study visit (n=9), there was a trend towards an inverse association between adipocyte size and aerobic fitness (per 2 ml/kg/min of O2 consumption, β = -3.54±1.52, p=0.07) and percent body fat (per 2% increase, β = 1.94±1.28, p=0.17) in unadjusted analyses. Conclusion: Higher BMI is associated with larger adipocyte size in adipose tissue taken from the breast, suggesting a biological role for body composition in influencing gross histological features of adipocytes and its behavior that would impact the health of the mammary gland. A better understanding of the biological mechanisms underlying the observed epidemiological associations are needed to guide the development of intervention strategies and the most effective public health messages for breast cancer prevention. Citation Format: Kristin L. Campbell, Nagarajan Kannan, Sarah E. Neil-Sztramko, Connie J. Eaves, Jonathan P. Little, Ilona Csizmadi, David Zhu, Sarah Sayyari, Kelcey Bland, James D. Johnson. Influence of lifestyle factors on adipocyte size in human breast tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4258. doi:10.1158/1538-7445.AM2017-4258
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 | 0,000 |
| 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) | 0,003 | 0,001 |
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 ».