Abstract CT221: Nivolumab (NIVO) + ipilimumab (IPI) as first-line (1L) treatment for patients with advanced non-small cell lung cancer (NSCLC) with brain metastases: Results from CheckMate 227
Notice bibliographique
Résumé
Abstract Introduction: Checkpoint inhibitors have demonstrated activity in brain lesions in several tumor types, including NSCLC. CheckMate 227 Part 1 (NCT02477826) met its two independent co-primary endpoints, including improved overall survival (OS) for NIVO + IPI vs histology-based chemotherapy (chemo) in patients (pts) with tumor programmed death ligand 1 (PD-L1) expression ≥ 1%. Benefit was also observed in pts with PD-L1 < 1%. Eligible pts included those with treated, asymptomatic brain metastases (mets). Here we present a post-hoc analysis of efficacy and safety in pts with and without baseline (BL) brain mets. Methods: Eligible pts were chemo-naive, with stage IV or recurrent NSCLC, no known sensitizing EGFR/ALK alterations, and ECOG PS 0–1. Pts with treated brain mets who were asymptomatic for ≥ 2 wks prior to randomization were eligible; corticosteroids equivalent to ≤ 10 mg of prednisone daily were permitted if stable or decreasing for ≥ 2 wks prior to randomization. Pts with PD-L1 ≥ 1% (n = 1189) were randomized 1:1:1 to NIVO 3 mg/kg Q2W + IPI 1 mg/kg Q6W, NIVO 240 mg Q2W, or chemo; pts with PD-L1 < 1% (n = 550) were randomized 1:1:1 to NIVO 3 mg/kg Q2W + IPI 1 mg/kg Q6W, NIVO 360 mg Q3W + chemo, or chemo. Pts were treated until disease progression, unacceptable toxicity, or ≤ 2 y of immunotherapy. Results: BL characteristics were generally similar between pts with and without BL brain mets, except that a greater proportion of pts with BL brain mets were < 65 years of age and had non-squamous histology. Efficacy data are shown in the Table. Any-grade nervous system adverse events were reported in 46% of pts with BL brain mets treated with NIVO + IPI and 42% of those treated with chemo, most were grade 1–2. Conclusion: In this post-hoc analysis of pts with advanced NSCLC, NIVO + IPI appeared to provide similar benefit in pts with and without BL brain mets. No new safety signals were identified. Table.Efficacy by baseline brain metastases in CheckMate 227 Part 1Patients with baseline brain metastasesPatients without baseline brain metastasesNIVO + IPI (n = 69)Chemo (n = 66)NIVO + IPI (n = 514)Chemo (n = 517)OS, median (95% CI), mo18.8 (9.2-29.4)13.7 (10.5-16.2)17.1 (15.3-19.9)13.9 (11.8-15.3)HR (95% CI)0.57 (0.38-0.85)0.76 (0.66-0.88)1-y rates, %575962542-y rates, %44264030PFS,a median (95% CI), mo5.4 (3.1-8.6)5.8 (4.3-8.0)4.9 (4.1-5.7)5.4 (4.5-5.6)HR (95% CI)0.79 (0.52-1.19)0.81 (0.70-0.93)1-y rates, %382132172-y rates, %227206ORR,a %33263328DOR,a median (95% CI), mo24.9 (11.3-NR)8.4 (4.2-13.9)19.6 (15.5-28.6)5.8 (4.8-6.9)1-y rates, %724065262-y rates, %5384610Minimum follow-up was 29.3 mo.aPer BICR. BICR, blinded independent central review; CI, confidence interval; chemo, chemotherapy; DOR, duration of response; HR, hazard ratio; IPI, ipilimumab; mo, month; NIVO, nivolumab; ORR, objective response rate; OS, overall survival; PFS, progression-free survival; y, year. Citation Format: Hossein Borghaei, Adam Pluzanski, Reyes Bernabe Caro, Mariano Provencio, Sjaak Burgers, Enric Carcereny, Keunchil Park, Aurelia Alexandru, Lorena Lupinacci, Randeep Sangha, Judith Raimbourg, Alain Vergnenegre, Konstantinos Syrigos, Fabrice Barlesi, Norbert Frickhofen, Ang Li, Ravi Kasinathan, Luis Paz-Ares. Nivolumab (NIVO) + ipilimumab (IPI) as first-line (1L) treatment for patients with advanced non-small cell lung cancer (NSCLC) with brain metastases: Results from CheckMate 227 [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT221.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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 tête enseignante, 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 ».