Abstract P3-08-06: Demographics of breast cancer in a cohort of Afro-Caribbean women
Notice bibliographique
Résumé
Abstract Objectives: In Latin America and the Caribbean, non – communicable chronic diseases are now the leading cause of premature mortality. The incidence of cancer has increased in the region as a result of population aging and growth but also as more people adopt lifestyle choices like smoking, physical inactivity, and ‘‘westernized’’ diets. In women, fertility factors such as decreased parity, earlier onset of menses and later age at time of first pregnancy are known epidemiologically to increase incidence of hereditary and sporadic breast cancer. Recently there has also been a strong link to a genetic etiology of the breast and ovarian cancer in the Bahamas (27% in unselected breast cancer cases). A study was designed to address the prevalence and spectrum of BRCA1 and BRCA2 mutations in the Afro-Caribbean population. Methods: Demographic and clinical pathologic data was collected from 347 women of Afro-Caribbean decent. The cohort included women with breast cancer from the following countries: the Cayman Islands, Jamaica, Barbados, Dominica, Trinidad and Haiti. Summary statistics and t-tests and ANOVA were used to analyze population characteristics. A Bahamian mutation panel was created and detailed analyses of samples are ongoing. Results: The mean age of onset in the cohort is 48.1 yrs with a mean BMI of 27.7. 70% of breast cancer cases ER+ (n=241 informative cases) and in Jamaica 27% (n=105) of breast cancer cases were Her2+. 67.8% cases were diagnosed at stages II/III (n=90). TAH-BSO delayed invasive breast cancer from 48 to 53 years, p=0.005. Parity was a statistically significant factor (p<0.0001), which delayed age of onset by 8 yrs. Additionally, pregnancy alone delayed age of onset (p<0.005) also by 8 yrs in our cohort (n=379). Only three women out of 347 were found to have a mutation. Summary demographics of Caribbean women with breast cancerCountryNo. of ParticipantsMean age at diagnosis (yrs)ER+Her2+BRCA1/2 +BMICayman Islands6651.429/443/431/2730.3Barbados8946.652/739/734/8727.5Dominica6052.29/132/70/4628.7Jamaica13748.669/10528/105128.7Trinidad and Tobago645.54/61/51/527.4Haiti3448.5NANANA24.9 Reproductive Characteristics of Caribbean women with breast cancerNMean Agep-valueTAH-BSOPerformed71530.005Not Performed30448ParityNulliparous6042⟨ 0.0001Multiparous31950PregnancyNone4843⟨ 0.0001More than 133150 Conclusions: This population-based study provides an insight into pattern of risk factors – both genetic and environmental of breast cancer incidence and subtype across the Caribbean. In conclusion 1) genetic causes of breast cancer appear rare outside of the Bahamas, 2) fertility factors appear important in the development of breast cancer, 3) TAH-BSO is common as both a form of contraception and because of the high incidence of fibroids in the Caribbean and it may be protective, 4) BMI may impact on breast cancer development and 5) screening mammography is rare and the vast majority of mammography performed is diagnostic in nature. Citation Format: Sophia HL George, Talia Donenberg, Mohammed Akbari, Cheryl Alexis, Gillian Wharfe, Sook Yin, Hedda Dyer, Theodore Turnquest, Vincent DeGennaro, Steven Narod, Judith Hurley. Demographics of breast cancer in a cohort of Afro-Caribbean women [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-08-06.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 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) | 0,002 | 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 ».