Long-term efficacy and safety of larotrectinib (laro) in patients (pts) with TRK fusion thyroid carcinoma (TC).
Notice bibliographique
Résumé
6095 Background: NTRK gene fusions are oncogenic drivers in TC. Laro is the first-in-class, highly selective, central nervous system (CNS)-active TRK inhibitor approved for tumor-agnostic use in pts with TRK fusion cancer based on overall response rate (ORR) in pts with various tumor types. Here, we report long-term efficacy and safety in a subset of pts with TRK fusion TC treated with laro. Methods: Pts with TRK fusion TC enrolled in 3 laro clinical trials (NCT02576431, NCT02122913, NCT02637687) were included. Laro was administered at 100 mg twice daily to most pts; 2 pediatric pts received 100 mg/m2. Responses were assessed per independent review committee (IRC) using RECIST v1.1. Results: As of July 20, 2023, 31 pts were enrolled and eligible for efficacy assessment by IRC. Of the 4 pts with known CNS metastases at baseline, 3 received prior cranial radiotherapy (2, 12 and 15 months prior to laro initiation, respectively). Median age was 60 years (range 6-80) and median time since initial cancer diagnosis was 5 years (range 0-46). All NTRK gene fusions were identified by next-generation sequencing (NGS). 17 pts (55%) received no prior systemic therapies, 6 (19%) received 2 or more; 22 (71%) received prior radioiodine. ORR was 65% (95% CI 45-81): 3 (10%) complete responses, 17 (55%) partial responses (PR), 5 (16%) stable disease (SD) (4 for >30 months), 4 (13%) progressive disease (PD), and 2 (6%) not evaluable. For pts classified as differentiated TC (DTC; n=24 [77%]), ORR was 79% (95% CI 58-93). For pts classified as anaplastic TC (ATC; n=7 [23%]), ORR was 14% (95% CI 0-58). There were 3 pts with poorly differentiated TC, 1 (3%) classified as DTC (PR) and 2 (6%) as ATC (1 SD for >39 months and 1 PD). Median time to response was 1.9 months (range 1.6-16.2) for all pts. Median duration of response was 40.5 months (95% CI 19.4-not estimable [NE]) at a median follow-up of 39.8 months. Median progression-free survival was 44.0 months (95% CI 16.6-NE) at a median follow-up of 38.7 months. Median overall survival (OS) was not reached (NR; 95% CI 48.7-NE) at a median follow-up of 58.0 months; the 48-month OS rate was 72% (95% CI 56-89). Median OS was NR (95% CI 56.3-NE) in DTC and 8.8 months (95% CI 2.6-NE) in ATC. Treatment duration ranged from 1 to 76+ months. At data cutoff, 11 pts had progressed, with 7 continuing treatment post-progression for ≥4 weeks due to continued clinical benefit. Treatment-related adverse events (TRAEs) were predominantly Grade 1/2. Grade 3/4 TRAEs were reported in 3 (10%) pts. There were no treatment discontinuations due to TRAEs. Conclusions: Laro continues to demonstrate rapid and durable responses, extended survival, and a favorable safety profile in pts with TRK fusion DTC. Limited single-agent activity was observed in ATC. These results support the wider adoption of NGS panels, which include NTRK gene fusions in pts with advanced TC, to identify those who may benefit from targeted treatment. Clinical trial information: NCT02576431 , NCT02122913 , NCT02637687 .
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».