Abstract PO4-10-12: Value of Molecular Targets and Genome-Targeted Therapies FDA-Approved for Metastatic Breast Cancer, 2006-2023
Notice bibliographique
Résumé
Abstract Title: Value of Molecular Targets and Genome-Targeted Therapies FDA-Approved for Metastatic Breast Cancer, 2006-2023 Background: The number of FDA-approved genome-targeted cancer drugs for metastatic breast cancer has increased, providing the potential for personalized therapy. To help physicians, patients, and policymakers differentiate meaningful from trivial innovation in this field, we assessed the validity of the targets and value of the outcomes used in the pivotal trials supporting approval. Methods: We analyzed trials supporting genome-targeted breast cancer drugs FDA-approved between 2006-2023, defined as those using a genomic test in which the drug targeted a given genomic alteration. From FDA drug labels and trial reports, we extracted characteristics of pivotal trials. For Accelerated Approvals—a special FDA program allowing approval based on unvalidated surrogate measures—if the drug later received traditional approval based on a confirmatory trial, only the latter was analyzed. Strength of evidence supporting molecular targetability was evaluated using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of molecular Targets (ESCAT). Clinical benefit for approved indications was assessed using the ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS). Molecular targets qualifying for ESCAT category level I-A or I-B associated with ESMO-MCBS grade 4 or 5 were rated as high-benefit genomic-targeted breast cancer treatments. Results: Fifteen genome-targeted drugs covered 17 indications and targeted 8 driver alterations. Among the 17 pivotal trials supporting these indications, most were randomized (11, 65%), phase 3 (11, 65%) and open-label (14, 82%). The most common primary endpoint leading to approval (10, 59%) was progression-free survival. Eleven trials (65%) had a I-A ESCAT targetability, 5 (29%) had a I-C targetability score and 1 (6%) was categorized as II-A. ERBB2 amplification, germline BRCA1/2 mutations, PIK3CA mutations, and ESR1 mutation were classified as tier I-A due to randomized trials demonstrating the effectiveness of approved targeted therapies in patients with these alterations. RET fusions, NTRK fusions, and microsatellite instability were classified as tier I-C, while high-tumor mutational burden was categorized as tier II-A. Eighteen percent of trials (3/17) demonstrated ESMO-MCBS grades 4-5. Overall, 3 of 17 (18%) indications had high-benefit genomic-based cancer treatments. Conclusions: Among molecular-targeted cancer therapies approved for metastatic breast cancer, fewer than a fifth demonstrated substantial patient benefits at approval. Benefit frameworks like ESCAT and ESMO-MCBS can help stakeholders identify therapies with the greatest potential. Citation Format: Ariadna Tibau, Thomas J. Hwang, Consolacion Molto Valiente, Jerry Avorn, Aaron Kesselheim. Value of Molecular Targets and Genome-Targeted Therapies FDA-Approved for Metastatic Breast Cancer, 2006-2023 [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 PO4-10-12.
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 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 | 0,011 | 0,063 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 ».