MétaCan
Menu
Retour à la cohorte
Enregistrement W4411255039 · doi:10.1158/1557-3265.sabcs24-p2-08-26

Abstract P2-08-26: FLEX: A Real-World Evidence, Full Transcriptome Study in 30,000 Patients with Early-Stage Breast Cancer

2025· article· en· W4411255039 sur OpenAlexaboutno aff
Robert Maganini, Ellis Levine, Kent Hoskins, Sarah Thayer, Alfredo A. Santillan, Sung Ho-Lee, Eduardo Dias, Regina Hampton, Eric Brown, Maxwell Brown, Joyce O' Shaughnessy, Nicole Stivers, Harshini Ramaswamy, Katie Quinn, Isha Kapoor, William Audeh

Notice bibliographique

RevueClinical Cancer Research · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAdvanced Breast Cancer Therapies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFLEXCancerMedicineTranscriptomeBreast cancerStage (stratigraphy)OncologyInternal medicineBiologyGeneGeneticsComputer scienceGene expressionTelecommunications

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The advent of subtype-specific treatments, particularly hormone therapies and HER2-targeted therapies, has significantly improved survival rates and quality of life for breast cancer (BC) patients. Over the last decade genomic signatures have enabled improved classification of BC into distinct molecular subtypes, providing prognostic and/or predictive information about the metastatic potential of the tumor beyond those of clinicopathologic features. Despite marked progress, BC remains the most frequent cause of cancer death among women globally, accounting for almost 15.5% of all new female BC cases in the US. These poor clinical outcomes warrant further understanding of tumor heterogeneity and identifying genomic signatures, particularly variation within the subset of ER positive early-stage breast cancer (EBC). Pairing the full genome expression data with comprehensive clinical information enables further tumor stratification and a deeper understanding of tumor biology driving EBC. The ongoing, multi-center FLEX study (NCT03053193) seeks to enroll 30,000 patients to create a large-scale, diverse, population-based registry of full genome expression data matched with clinical data to investigate new gene expression signatures of prognostic and/or predictive value in a real-world setting. Efforts are focused on increasing clinical trial enrollment of racial/ethnic minorities and other historically underrepresented groups in clinical trials in the US to promote efficacy in outcomes and health equity. Additional objectives include supporting investigator-initiated sub-studies to address yet unresolved clinically relevant questions in EBC over 5-10 years of follow-up. Methods: FLEX is a large, multi-center, prospective, observational trial that enrolls patients (male or female) who are ≥ 18 years old with histologically proven stage I-III breast cancer. All patients with up to 3 positive lymph nodes who receive standard of care MammaPrint (70-gene signature risk of recurrence), with or without BluePrint (80-gene signature molecular subtype) on a primary breast tumor and consent to clinically annotated full transcriptome data collection are eligible for enrollment. FLEX fosters collaboration across 95 sites in the US, 2 sites in Canada, 1 site in Greece, and Israel. This initiative encourages investigator-initiated sub-studies, promoting diverse research perspectives and potentially enhancing the scope and robustness of the overall study. Within 7 years of trial initiation, FLEX total enrollment amounts to 16,980 EBC patients. To address racial/ ethnic disparities in clinical trials, a concerted effort has led to the inclusion of 1,377 Black, 530 Latin American (LA)/Hispanic, 353 AAPI, out of 14,330 EBC patients with self-reported race and ethnicity, making FLEX the most diverse study on EBC patients to date. Such diversity in FLEX sets a valuable precedent for future research aiming to improve healthcare outcomes for all groups. Currently FLEX supports 12 in-progress investigator initiated sub-studies in 2024, with over 45 abstracts accepted at congresses internationally (2018-2024), including 11 presentations and 2 poster spot-light sessions that address the underlying differences in tumor biology and clinical outcomes in Black, LA, and AAPI populations. Overall, as FLEX continues to grow, the study strives to leverage full transcriptome data to enhance precision medicine in EBC. By identifying molecular subtypes and predictive biomarkers, the trial intends to equip clinicians with enhanced tools for tailoring treatment strategies more effectively in EBC. The FLEX trial represents a pioneering effort in integrating genomic data and clinical information on a large scale to improve outcomes and reduce disparities in EBC. Its emphasis on diversity, comprehensive data collection, and collaborative research pursuits places it at the forefront of precision medicine in EBC. Citation Format: Robert Maganini, Ellis Levine, Kent Hoskins, Sarah Thayer, Alfredo Santillan, Sung Ho-Lee, Eduardo Dias, Regina Hampton, Eric Brown, Maxwell Brown, Joyce O' Shaughnessy, Nicole Stivers, Harshini Ramaswamy, Katie Quinn, Isha Kapoor, William Audeh. FLEX: A Real-World Evidence, Full Transcriptome Study in 30,000 Patients with Early-Stage Breast Cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2024; 2024 Dec 10-13; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(12 Suppl):Abstract nr P2-08-26.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,059
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,167
Tête enseignante GPT0,525
Écart entre enseignants0,359 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueClinical Cancer ResearchMême sujetAdvanced Breast Cancer TherapiesTravaux en français237 207