Abstract B113: Associations between risk factors and epithelial ovarian cancer survival by racial and ethnic group: an analysis from the ovarian cancer association consortium
Notice bibliographique
Résumé
Abstract Background: Associations between lifestyle, hormonal and reproductive factors and survival for epithelial ovarian cancer (EOC) have been studied, however, reports lack stratification by racial and ethnic group. Through the Ovarian Cancer Association Consortium (OCAC), we analyzed associations between survival and EOC risk factors by racial and ethnic group across Asian, Hispanic, Native Hawaiian/Pacific Islander (NHPI) and Non-Hispanic White women with EOC to help inform associations with prognosis. Methods: Participants came from 15 eligible case-control studies from Australia, Canada, England, and the USA with hormonal factors (oral contraceptive use, postmenopausal hormone use, body mass index [BMI]), reproductive factors (age at menarche, parity, breastfeeding, tubal ligation, hysterectomy, endometriosis), smoking and family history. The 12,818 invasive EOC cases were reported as Asian and NHPI (n=908, including 98 NHPI); Hispanic (n=490); and White (n=11,420). Cox proportional hazards regression models estimated hazard ratios (HR) and 95% confidence intervals (95% CI) for risk of all-cause mortality with race and ethnicity as an exposure, and risk factors stratified by race and ethnicity. Models were stratified by study, 10-year age group and stage at diagnosis, and adjusted for age at diagnosis (continuous) and histology. The models with race and ethnicity as the exposure were additionally adjusted for BMI, smoking and postmenopausal hormone use. We assessed heterogeneity in the risk factor associations between racial and ethnic groups using the Wald test with an interaction term for race and ethnicity for each exposure. Results: The mean follow-up after a diagnosis of EOC was 6.1 years (standard deviation = 4.8), with 7512 deaths during the follow-up period (59% of EOC). Compared to White patients, NHPI women with EOC had an increased risk of mortality (HR=1.49, 95% CI=1.08-2.07). There was no statistically significant heterogeneity in associations between risk factors and EOC mortality across racial and ethnic groups. However, we observed differences by racial and ethnic groups for postmenopausal hormone therapy use with a pronounced inverse association for the combined Asian and NHPI group (HR=0.65, 95% CI 0.49-0.88), less so for White and Hispanic women (HR=0.90, 95% CI 0.84-0.95 and HR=0.81, 95% CI 0.57-1.14, respectively). High recent BMI (≥30 kg/m2 compared with <25) was associated with increased risk of mortality in Hispanic and White women only (HR=1.43, 95% CI 1.00-2.03 and HR=1.14, 95% CI 1.06-1.22, respectively). Current smoking was associated with higher mortality risk among White women (HR=1.15, 95% CI 1.07-1.25) but not in the other groups. Conclusions: We observed that compared with White women, NHPI women with EOC had a higher risk of mortality. The known association between postmenopausal hormone therapy use and reduced risk of mortality was particularly pronounced for the combined Asian and NHPI group. More work is needed to understand the disparity in mortality outcome for NHPI women with EOC. Citation Format: Nicola S. Meagher, Kami K. White, Lynne R. Wilkens, Penelope M. Webb, Anna H. Wu, Lauren C. Peres, Melissa A. Merritt. Associations between risk factors and epithelial ovarian cancer survival by racial and ethnic group: an analysis from the ovarian cancer association consortium [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr B113.
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 | 0,007 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,003 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».