Breast cancer heterogeneity
Notice bibliographique
Résumé
Background: Breast cancer (BC) is the most prevalent cancer in women and the leading cause of women's cancer-related deaths and morbidity worldwide. Conventionally considered as a single disease, recent advances suggest that BC is rather a heterogeneous disease with different molecular subtypes exhibiting distinct clinical presentation, anatomo-pathological features, response to treatment and survival outcomes. The purpose of this study was to compare tumor characteristics and epidemiologic risk factors associated with premenopausal versus postmenopausal BC and to assess heterogeneity by menopausal status. Methods: This was a comparative cross-sectional study. A total of 340 patients were included in the study (170 premenopausal vs. 170 postmenopausal BC). Patients' and tumor characteristics were compared in both populations. Percentages and means have been used for descriptive statistics. For categorical variables with comparison groups not exceeding 2, Fischer's exact test was used, otherwise, Chi-square test was used. For continuous variables, Mann–Whitney U -test has been used to compare the numerical ranked variables. A value of P = 0.05 or less was considered statistically significant. Odds ratio (OR) and 95% confidence interval (CI) was estimated using logistic regression analysis. Results: The median age of patients was 49 years (range: 18–89 years), with premenopausal median age of 41 years (range 18–50 years) and postmenopausal median age of 58 years (range 48–89 years). Factors associated more with the occurrence of premenopausal BC than postmenopausal BC were obesity/overweight in adolescence/early adulthood (OR = 0.29 95% CI 0.18–0.49, P < 0.001) and history of benign breast disease (OR 0.34 95% CI 0.14–0.83, P = 0.014), while factors associated more with postmenopausal than premenopausal BC included alcohol intake (OR = 2.47 95% CI 1.54–3.98, P < 0.001), history of breastfeeding (OR = 2.75 1.12–6.78, P = 0.036). However, sports activities (OR = 0.33 95% CI 0.16–0.65, P = 0.0015) and contraceptive use (OR = 0.19 95% CI 0.12–0.32, P < 0.001) seem to be protective for postmenopausal BC. In premenopausal period, patients presented more at advanced stages (Stage III and IV) (51.2% of premenopausal vs. 44.7% for postmenopausal, P = 0.0246), reported more intermediate-to-rapid disease progression (92% in premenopausal vs. 81.1% in postmenopausal ( P < 0.001), had more invasive ductal carcinoma (98% in premenopausal vs. 93.5% in postmenopausal ( P = 0.053) and had more poorly differentiated tumors (72% compared to 19.4% of postmenopausal BC patients ( P < 0.0001). There was no statistically difference in molecular subtypes distribution between premenopausal and postmenopausal women ( P = 0.062). However, progesterone receptor (PR) positivity was more associated with postmenopausal BC ( P = 0.0165). Conclusion: BC is a heterogeneous disease. Premenopausal BC seems to be more aggressive than postmenopausal BC, with a relatively high prevalence of poorly differentiated and high-grade tumors with rapid progression. However, pre- and postmenopausal BC have similar molecular subtypes with different PR expression but similar ER and human epidermal growth factor receptor 2/Neu oncogene expression.
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) | 0,000 | 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 ».