1488 A multicenter phase 2 trial of lifileucel plus pembrolizumab in patients with checkpoint inhibitor-naive metastatic NSCLC: updated results
Notice bibliographique
Résumé
Background Resistance to frontline immune checkpoint inhibitor (ICI) ± chemotherapy presents a challenge in the treatment of metastatic non-small cell lung cancer (NSCLC). Tumor-infiltrating lymphocyte (TIL) cell therapy with lifileucel alone demonstrated an objective response rate (ORR) of 21% in patients with refractory metastatic NSCLC previously treated with an ICI. Integration of TIL cell therapy in frontline regimens may improve long-term outcomes in NSCLC. We report updated efficacy and safety results for lifileucel combined with pembrolizumab in patients with ICI-naive metastatic NSCLC. Methods IOV-COM-202 (NCT03645928) is a global, phase 2, multicenter, multicohort, open-label study. Cohort 3A has enrolled patients with ICI-naive advanced or metastatic NSCLC with disease progression, ≥1 resectable lesion for lifileucel manufacturing, and ≥1 evaluable lesion (by RECIST v1.1). Patients received nonmyeloablative lymphodepletion (cyclophosphamide and fludarabine), followed by a single lifileucel infusion, and ≤6 doses of high-dose interleukin-2 (IL-2). Pembrolizumab was administered once before lymphodepletion and continued after lifileucel up to 2 years. Primary endpoints were ORR and safety (incidence of grade ≥3 TEAEs). Results As of August 12, 2024, 22 patients had been infused with lifileucel. Patients had a median age of 57 years (range, 30–69) and a median of 1 (range, 0–4) lines of prior systemic therapy. PD-L1 tumor proportion score was <1 in 77.3% (n=17), tumor EGFR status was wild-type (wt) in 63.6% (n=14). Common anatomic sites of tumor resection were lung (45.5%) and lymph node (22.7%). Median lifileucel dose was 22.9×109 cells. At a median follow-up of 25.6 months, the ORR (95% CI) in the EGFR-wt subgroup of interest for further studies was 64.3% (35.1%–87.2%). Median DOR in this subgroup was not reached (NR; 95% CI, 3.7 months–NR). Six responses occurred in 11 patients with EGFR-wt PD-L1–negative disease (54.5%). Five patients had durable and ongoing responses at last follow-up, including 3 patients with PD-L1–negative status (figure 1). For the EGFR-mutation post-TKI (n=8) subgroup, the ORR was 12.5%. TEAEs were consistent with underlying disease and known profiles of pembrolizumab, nonmyeloablative lymphodepletion, and IL-2. Most common grade ≥3 nonhematologic TEAEs were hypoxia (54.5%), febrile neutropenia (45.5%), and hypophosphatemia (31.8%). Conclusions In patients with ICI-naive metastatic NSCLC, lifileucel plus pembrolizumab demonstrated robust antitumor activity and durable responses, including in patients with EGFR-wt PD-L1–negative tumors. No new safety signals were observed with lifileucel plus pembrolizumab. These results support further investigation of lifileucel/ICI combination as part of frontline therapy in metastatic NSCLC. Trial Registration NCT03645928. Ethics Approval This study was approved by the institutional review board at each site and was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice guidelines of the International Conference on Harmonization. All patients provided written informed consent.
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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».