The Risk of Ovarian Cancer After Breast Cancer in BRCA1 and BRCA2 Carriers
Notice bibliographique
Résumé
This study was conducted to investigate the incidence of ovarian cancer after a primary diagnosis of breast cancer in women with the BRCA1 or BRCA2 mutation. A review of the records from the 10 participating institutions between 1975 and 2000 identified families with a documented BRCA1 or BRCA2 mutation and at least 1 case of breast cancer. Women who were older than 65 years of age, who were diagnosed before 1975, who were known not to have the mutation, and women living outside North America were not included. Of 1139 stage I or II breast cancer diagnoses in 337 families, 729 met the inclusion criteria. Of these women, 449 had sufficient information for analysis. The average age at diagnosis of breast cancer was 41.7 years (range, 24–65 years) and average follow up was 9.6 years. Forty-six (10.2%) of the 449 patients with breast cancer developed ovarian cancer (including 1 with cancer of the omentum, 2 with peritoneal cancer, and 3 with fallopian tube cancer). The mean time to development of ovarian cancer was 8.1 years (range, 0.1–25.5 years). The average age at diagnosis of was 51.7 years (range, 35–78 years). On average, women with the BRCA1 mutation were diagnosed with ovarian cancer earlier than those with the BRCA2 mutation (51.7 years vs. 54.8 years). The 5- and 10-year risks of ovarian cancer after breast cancer were 4.5% and 12.7% for women with BRCA1 mutation and 5.3% and 6.8% for women with BRCA2, respectively. After univariate and multivariate analyses of possible risk factors, including age, treatment received, time, and gene status, the only significant risk factor for the development of ovarian cancer after breast cancer was gene status. The risk for women with the BRCA2 mutation was less than half that of women with the BRCA1 mutation (odds ratio = 0.41; confidence interval = 0.19 - 0.90; P = 0.026). Eighty-three (91.5%) of the 449 women died of either breast cancer or ovarian cancer. Among the 201 women with stage I breast cancer, 21 died of breast cancer and 7 (25%) died of ovarian cancer. In the 28 patients with stage II breast cancer, there were 54 deaths from breast cancer and 1 from ovarian cancer.
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 | 0,002 |
| 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) | 0,000 | 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 ».