P4-11-12: Molecular Phenotype of Breast Cancers in a Large Cohort of Young Women According to Time Interval Since Pregnancy.
Notice bibliographique
Résumé
Abstract Background: The increase in breast cancer risk during pregnancy and post partum is well recognized. The cross-over to protective effect does not occur until many years later and varies with age at first birth. Recently, a genomic signature specific to the pregnant compared with the non-pregnant breast has been identified; this signature remains present in the postmenopausal parous breast. Given this, we investigated whether time interval since pregnancy affects the phenotype of breast cancers arising in young women compared with nulliparous women. Methods: We examined molecular phenotype, according to histologic grade and biomarker status, in relation to time since pregnancy in an ongoing prospective cohort study (n=355) of young women (≤40yrs) with breast cancer. Medical records were reviewed for tumor stage and receptor status. Parity was ascertained from questionnaires completed within 9 months of diagnosis. Tumor grade was determined by central pathology review. Using tumor grade and biomarker expression, cancers were categorized as luminal A (ER+ and/or PR+, HER2−, histologic grade 1 or 2); luminal B ( ER+ and/or PR+, HER2+, or ER and/or PR+, HER2− and grade 3); HER2 type (ER-, PR-, HER2+); and triple negative (ER-, PR-, HER2−). Results: The median age of the study population is 37 years (range 17–40). Overall, 80% of women had stage 1 or 2 disease; 67% of cancers were ER positive and 32% showed HER2 overexpression. The distribution of breast cancer molecular phenotypes by time interval since last pregnancy is shown in the table. Distribution of molecular phenotype by interval between last pregnancy and diagnosis In our large cohort of parous young women, we found no differences in the distribution of molecular phenotype according to time interval since pregnancy. However, nulliparous young women were more likely to develop luminal A cancers compared to parous women (40% vs. 29%; unadjusted chi square p-value=0.03) and appeared less likely to develop HER2−type and triple negative cancers (7% vs. 13%, p-value=0.09 and 17% vs. 23%, p-value=0.22 respectively). There were no differences in the distribution of luminal B cancers. Conclusions: The distribution of molecular phenotypes is similar among parous young women regardless of the time interval since parturition. Nulliparous young women appear more likely to develop luminal A cancers compared to parous women. Whether the difference in molecular phenotypes of pregnancy-associated breast cancers vs. cancers arising in nulliparous women is due to the effects of genomic alteration remains to be investigated. Effects of a prior pregnancy appear consistent across a 5-year period, in keeping with the concept of genomic alterations identified in the normal pregnant breast and thereafter. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P4-11-12.
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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 | 0,000 | 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 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 ».