ctDNA-Lung-DETECT: ctDNA outcomes for resected early stage non-small cell lung cancers at 12 months.
Notice bibliographique
Résumé
8018 Background: ctDNA Lung DETECT is a multicentre investigator initiated prospective study at 3 thoracic surgery centres in the Greater Toronto Area assessing ctDNA detection and association with recurrence free survival (RFS) in patients with early stage non-small cell lung cancer (NSCLC) (NCT05254782). Patients who have ctDNA detected perioperatively are offered ctDNA Lung RCT, a randomized trial investigating the benefit of adjuvant chemo-immunotherapy in patients where the standard of care is observation alone after surgery (NCT04966663). Herein, we report on ctDNA outcomes at 12 months for patients with resected early stage NSCLC. Methods: Patients with stage I (T1-2N0) or multifocal T3-4 < 4cm N0 NSCLC planned for resection at University Health Network consented to plasma ctDNA assessment before and after surgery, and at 12 months post-operatively or relapse using the tumor-informed RaDaR® assay, which detects up to 48 tumor-specific variants in plasma with a Limit of Detection (LoD₉₅) of 0.0011% variant allele fraction. Results: From July 2021 to January 2024, 178 patients were enrolled; 115 had sufficient tissue for assessment. Of these, 68/72 patients have 12 month post-resection ctDNA results available (3 withdrew, 1 sample failed). ctDNA was detected pre-operatively in 18 patients; 99% (71/72) had ctDNA clearance post-operatively, and 93% (62/67) remained ctDNA negative at 12 months. Median follow up time was 18.7 months (range 12.0– 28.3); 8/72 (11%) patients (5 stage I, 3 stage II) experienced lung cancer recurrence. Median time to recurrence was 13.9 months (range 6.2- 24.9). Of these, 3 had ctDNA detected on their preoperative and 12-month or recurrence sample, 1 had ctDNA detected at 12 months prior to relapse, 1 had ctDNA detected at 12 months and recurred around the same time, 2 had negative ctDNA samples and 1 missed sample collection preoperatively. The recurrence rate was 16.7% (3/18, 95% exact CI 3.6-41.4%) in patients with ctDNA detected pre-operatively vs. 7.5% (4/53, CI 2.1-18.2%) in those without. New lung cancers were diagnosed in 5/72 (median time to new primary 15.3 months, range 4.9-14.2) and 2/72 patients had new cancers diagnosed (ovarian/liposarcoma). For those with new lung primaries, 1 had ctDNA detected preoperatively but none had ctDNA detected at time of new primary diagnosis. Of 4 patients who have died, 2 were from recurrent lung cancer and 2 from new primaries (lung/sarcoma). Conclusions: This study represents one of the largest prospective cohorts of ctDNA kinetics in patients with resected lung cancer. Of patients with at least 12 months follow up, 8/72 experienced a lung cancer recurrence with a higher rate in those with pre-operative ctDNA detected (16.7% vs 7.5%). Pre-operative ctDNA detection may help identify patients with resected stage I NSCLC that could benefit from treatment intensification, currently under study in ctDNA Lung RCT (NCT04966663). Clinical trial information: NCT05254782 .
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) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».