Abstract PO1-02-11: Characterization of MammaPrint UltraLow Risk tumors in more than 1400 patients from the real-world evidence FLEX study
Notice bibliographique
Résumé
Abstract BACKGROUND: MammaPrint is a gene expression signature used to determine the risk of distant recurrence for patients with early-stage breast cancer. Previous studies from MINDACT, FOCUS, IKA, and STO-3 trials have demonstrated that postmenopausal node-negative patients with MammaPrint UltraLow Risk tumors are considered indolent and patients have excellent long-term survival outcomes up to 20 years with little to no endocrine treatment. These studies suggest that patients with UltraLow Risk tumors are ideal candidates for treatment optimization which has resulted in the inclusion of the UltraLow Risk result in the NCCN guidelines. Here, we characterized patients with UltraLow Risk tumors from the real-world evidence FLEX study. METHODS: FLEX (NCT03053193) is a prospective, observational registry study with 99 sites open in the United States, Canada, Greece, and Israel. Patients enrolled in FLEX have early-stage breast cancer and receive MammaPrint testing as standard of care (with or without BluePrint molecular subtyping), and consent to full transcriptome analysis and clinical data collection. MammaPrint is a gene expression signature of 70 genes that classifies tumors as having a Low Risk or High Risk of distant recurrence. Within Low Risk tumors, a subcategory of UltraLow Risk (MammaPrint Index > 0.355) has been defined in previous studies. Clinical data for this analysis was locked February 2023. Clinical risk was defined as low risk or high risk based on Adjuvant Online criteria. RESULTS: Among the 12,328 patients enrolled in FLEX, 1465 (11.9%) have UltraLow Risk tumors. All tumors with available BluePrint molecular subtyping were classified as Luminal-Type. Of the patients with detailed clinical data, the majority had clinically low risk tumors (78.8%; Table 1). Notably, 34.6% of patients with UltraLow Risk tumors had Ki67 tumor staining of greater than 10%, 16.7% were pre- or peri-menopausal, 43.6% had grade 2-3 tumors, and 20.1% had tumors > 2 cm (Table 1). Among patients with treatment information, 6.5% received a combination of chemotherapy with or without endocrine and HER2-targeted therapy, 82.4% received endocrine therapy, 4.8% received other treatment (endocrine with targeted therapy (CDK4/6), radiation alone, novel treatment regimen, or supporting agents), and 6.3% did not receive treatment (Table 1). CONCLUSIONS: Previous trials have demonstrated the utility of MammaPrint UltraLow Risk in patients with clinically low risk features. In this large real-world evidence study of patients with early-stage breast cancer, UltraLow Risk tumors can be identified across all clinical categories. Overall, we report a substantial number of premenopausal patients with UltraLow Risk tumors, and these young women would be good candidates for treatment optimization. Future studies will assess long-term outcomes in this cohort further stratified by treatment. Table 1. Clinical and genomic characteristics of UltraLow Risk tumors Data are presented as n (%). Patients with unknown or missing data for each category have not been included. Citation Format: Cathy Graham, Kent Hoskins, Vijayakrishna K. Gadi, Suzanne Hoekstra, Gordon Srkalovic, Douglas Marks, Beth Sieling, Patricia Dauer, Andrea Menicucci, William Audeh, Joyce O'Shaughnessy, FLEX Investigators' Group. Characterization of MammaPrint UltraLow Risk tumors in more than 1400 patients from the real-world evidence FLEX study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-02-11.
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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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».