Abstract CT183: Phase (Ph) I/II study of MBG453± spartalizumab (PDR001) in patients (pts) with advanced malignancies
Notice bibliographique
Résumé
Abstract Background: MBG453 and spartalizumab, humanized IgG4 mAbs, block binding of TIM-3 to PtdSer and PD-1 to PD-L1/2, respectively. Preclinical studies show synergistic anti-tumor activity of TIM-3 and PD-1 co-blockade. Here we report the dose escalation results from a Ph I-Ib/II study of MBG453 ± spartalizumab in metastatic solid tumors (NCT02608268). Methods: Metastatic cancer pts received intravenous MBG453 alone at 80-1200 mg Q2W or Q4W, or combination therapy (Q2W/Q4W) with MBG453 (20-800/80-1200 mg) + spartalizumab (80-240 mg/80-400 mg). The recommended Ph II dose (RP2D) was determined using an adaptive Bayesian logistic regression model guided by escalation with overdose control together with Ph I-Ib endpoints (dose-limiting toxicity [DLT] at 8 weeks). Results: As of July 26, 2018, 87 pts received MBG453 alone (14% were anti-PD-1/PD-L1 pre-treated; common tumors [≥9%]: pancreatic cancer [11%], sarcoma [10%], and colorectal cancer [CRC; 9%]) and 86 pts received MBG453 + spartalizumab (27% were anti-PD-1/PD-L1 pre-treated; common tumors [≥6%]: melanoma [8%], NSCLC [7%], CRC [7%], and ovarian cancer [6%]). One DLT (myasthenia gravis grade [G] 4) was reported in a pt with thymoma treated with MBG453 (240 mg Q4W) + spartalizumab (80 mg Q4W). Treatment-related adverse events (AEs) were reported in 40% and 59% of pts treated with MBG453 and MBG453 + spartalizumab, and G3/4 AEs in 0% and 11% of pts; the most common AE (≥10%) was fatigue in 10% and 15% of pts, respectively. MBG453 exposure generally increased in a dose-proportional manner. Maximum tolerated doses were not identified with the tested dose/schedule. MBG453 800 mg Q4W (n=9 pts treated) and MBG453 800 mg + spartalizumab 400 mg Q4W (n=6 pts treated) were declared as RP2Ds. Stable disease (SD) was seen in 25/87 (29%) pts treated with MBG453 alone (common tumors [≥2 pts]: sarcoma [n=5], and breast cancer, CRC, ovarian cancer, cholangiocarcinoma, and NSCLC [n=2 pts each]); 4 of 25 pts with SD were anti-PD-1/PD-L1 pre-treated. Of 86 MBG453 + spartalizumab pts, partial responses were seen in 4 pts (5%); 1 anti-PD-1/PD-L1 pre-treated pt (out of 6 with NSCLC; DOR: 392 d), 3 anti-PD-1/PD-L1 naïve pts (CRC [n=2 out of 6, DOR: 223 d, 109 d]; SCLC [n=1 out of 3; DOR: 112 d]). SD was seen in 34/86 (40%) MBG453 + spartalizumab pts (common tumors [≥3 pts]: melanoma [n=5; 2 cutaneous, 2 uveal, and 1 non-cutaneous], ovarian cancer [n=3], and urothelial carcinoma [n=3]); 10 of 34 pts with SD were anti-PD-1/PD-L1 pre-treated. RNAseq analysis of screening and on-treatment biopsies revealed a pharmacodynamic trend of increased IFN-γ-associated gene signatures following MBG453 + spartalizumab treatment. Conclusions: MBG453 + spartalizumab was well tolerated with preliminary signs of anti-tumor activity. MBG453 800 mg Q4W and MBG453 800 mg + spartalizumab 400 mg Q4W were selected as the RP2Ds; dose expansion is ongoing in pts with melanoma or NSCLC resistant to anti-PD-1/PD-L1. Citation Format: Giuseppe Curigliano, Hans Gelderblom, Nicolas Mach, Toshihiko Doi, Wai Meng David Tai, Patrick Forde, John Sarantopoulos, Philippe L. Bedard, Chia-Chi Lin, Stephen Hodi, Sofie Wilgenhof, Armando Santoro, Catherine Sabatos-Peyton, Tyler Longmire, Kitty Wan, Panagiotis Nikolopoulos, Luigi Manenti, Aung Naing. Phase (Ph) I/II study of MBG453± spartalizumab (PDR001) in patients (pts) with advanced malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr CT183.
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) | 0,001 | 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 | 0,001 | 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 ».