Abstract A15: Prenatal exposure to polycyclic aromatic hydrocarbons and breast tissue composition in adolescent girls
Notice bibliographique
Résumé
Abstract Polycyclic aromatic hydrocarbons (PAH) are common environmental pollutants that result from incomplete combustion of biomass and fossil fuels. PAH have endocrine-disrupting properties and are known animal carcinogens. Evidence from case-control studies suggests an association between PAH and breast cancer risk, but longitudinal research on PAH exposure during critical windows of susceptibility, such as prenatally and in early life, is limited. The purpose of this study was to prospectively examine whether prenatal exposure to PAH is associated with breast tissue composition, an intermediate marker of breast cancer risk, in adolescent girls. We studied 105 adolescent girls in the Columbia Center for Children’s Environmental Health (CCCEH) birth cohort, which recruited nonsmoking African American and Dominican American pregnant women living in three low-income neighborhoods in New York City from 1998-2006. Women wore a small backpack holding a personal air monitor for 2 consecutive days during the 3rd trimester of pregnancy, which measured concentrations of pyrene and 8 other carcinogenic PAH (summed and categorized into tertiles for analysis). Girls completed a follow-up clinic visit in adolescence (ages 11.2-19.6 years, median=15.8), at which time breast tissue composition was measured by optical spectroscopy (OS). OS is a novel and noninvasive tool that provides a broad compositional view of the breast by capturing variation in the amount of water, lipid, oxy-hemoglobin, deoxy-hemoglobin, and collagen, as well as overall cellular and connective tissue density. OS measured red and near-infrared light transmission of 7 wavelengths (650-1060 nm) at 4 source-detector distances in each breast quadrant, resulting in 16 overlapping tissue volumes. Principal component analysis was used to reduce spectral data and generate principal component (PC) scores for each participant, which were averaged over both breasts. We used multivariable linear regression to examine associations of prenatal PAH measures (pyrene and Σ8 PAH) with each of the first 4 OS PCs, which explained >99% of the spectral variation in the sample. Models were adjusted for age, ethnicity, body mass index (BMI) at time of OS measurement, age at breast development, and mothers’ prepregnancy BMI. After adjusting for covariates, PC1 scores were significantly lower on average in the highest compared to lowest tertile of prenatal ambient Σ8 PAH (β = -0.42, 95% CI = -0.81 to -0.02, p = 0.04). PC1 covered 91.8% of the spectral variations and represents overall light attenuation from higher scattering due to higher cellularity and connective tissues. PC1 also mapped to multiple chromophores including hemoglobin and collagen. No associations were found between prenatal ambient Σ8 PAH and PCs 2-4, and no associations with OS PCs were found for pyrene. To conclude, we found evidence suggesting that prenatal exposure to PAH is associated with breast tissue composition in adolescent girls. Citation Format: Rebecca D. Kehm, Lothar Lilge, E. Jane Walter, Nur Zeinomar, Jasmine A. McDonald, Parisa Tehranifar, Julie B. Herbstman, Rachel L. Miller, Mary Beth Terry. Prenatal exposure to polycyclic aromatic hydrocarbons and breast tissue composition in adolescent girls [abstract]. In: Proceedings of the AACR Special Conference on Environmental Carcinogenesis: Potential Pathway to Cancer Prevention; 2019 Jun 22-24; Charlotte, NC. Philadelphia (PA): AACR; Can Prev Res 2020;13(7 Suppl): Abstract nr A15.
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 | 0,001 | 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 ».