Abstract 623: Iron intake, oxidative stress-related genes, and breast cancer risk
Notice bibliographique
Résumé
Abstract Background: Iron has been shown to enhance breast carcinogenesis in animal models through generation of oxidative stress, although epidemiological evidence of the association between iron intake and breast cancer risk remains inconclusive. This study investigated associations between different types of iron intake and breast cancer risk, and whether these associations were modified by genetic polymorphisms in antioxidant enzymes, including manganese superoxide dismutase (MnSOD) and glutathione S-transferases M1 (GSTM1) and T1 (GSTT1). Methods: A population-based case-control study in Ontario, Canada recruited 3,030 breast cancer cases identified from the Ontario Cancer Registry and 3,402 controls from random digit dialing. Iron intake from foods and supplements was assessed using a 178-item food frequency questionnaire. Multivariable logistic regression analyses were used to evaluate associations between breast cancer risk and intakes of dietary, supplemental, and total (dietary plus supplemental) iron, among all women and stratified by menopausal status. Associations were also examined by hormone receptor [estrogen receptor (ER)/progesterone receptor (PR)] tumor subtype. Among women providing saliva (DNA) samples (1,696 cases and 1,761 controls), interactions between iron intake and genetic polymorphisms were assessed using the likelihood ratio test. Results: Among all women, intakes of dietary, supplemental, and total iron were not associated with breast cancer risk, overall or by tumor subtype. Among premenopausal women, there was an increase in breast cancer risk for the ER–PR– subtype associated with higher intakes (highest vs. lowest quintile) of dietary [odds ratio (OR) = 1.4; 95% confidence interval (CI): 0.9–2.4] and total (OR = 1.8; 95% CI: 1.1–2.9) iron (P for trend < 0.05). Among postmenopausal women, supplemental iron intake (>18 vs. 0 mg/day) was associated with reduced breast cancer risk (OR = 0.7; 95% CI: 0.5–0.9), with similar associations across tumor subtypes. Associations of dietary and total iron intake with overall breast cancer risk were modified by GSTT1 and/or GSTM1/T1 combined genotypes (P for interaction < 0.05). For example, among women with deletions in both GSTM1 and GSTT1 loci, higher dietary iron intake was associated with increased breast cancer risk (OR = 2.1; 95% CI: 1.1–4.2), whereas null or inverse associations were found among women with other GSTM1/T1 genotypes. Conclusions: Results from this study suggest that higher dietary and total iron intake may be associated with increased risk of ER–PR– breast cancer among premenopausal women, whereas higher supplemental iron intake may be associated with reduced postmenopausal breast cancer risk. In addition, associations between iron intake and breast cancer risk may be modified by polymorphisms in oxidative stress-related genes. Our ongoing work will investigate heme and non-heme iron intake in relation to breast cancer risk. Citation Format: Vicky C. Chang, Michelle Cotterchio, Susan J. Bondy, Joanne Kotsopoulos. Iron intake, oxidative stress-related genes, and breast cancer risk [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 623.
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 ».