A Phase I Study of Anti-ICOS Antibody MEDI-570 for Relapsed/Refractory (R/R) Peripheral T-Cell Lymphoma (PTCL) and Angioimmunoblastic T-Cell Lymphoma (AITL) (NCI-9930)
Notice bibliographique
Résumé
Background:T-follicular helper (TFH) cells are a novel CD4+ T-cell subset that participates in germinal center maintenance/proliferation. Proliferation of TFH is a postulated mechanism of pathogenesis for T-cell lymphomas (AITL, PTCL and others). The inducible T-cell costimulator (ICOS) is highly expressed in TFHand hence in AITL, PTCL FH type, and some cutaneous T cell lymphomas (CTCL) and follicular lymphomas (FL). MEDI-570 is a human afucosylatedIgG1 kappa monoclonal antagonistic antibody directed against ICOS, which binds to and eliminates ICOS expressing cells in preclinical in vivo models. We investigate the safety, pharmacokinetics (PK) and clinical activity of ICOS blockade by MEDI-570 in T-cell lymphomas. Methods: NCI-9930 is a Phase I study of MEDI-570 in R/R malignant lymphomas. It is a 3+3 study design that evaluated 5 dose levels . MEDI-570 was administered intravenously (IV) every 3 weeks for 12 cycles. Eligibility criteria included: age >18 years, ECOG <2, diagnosis of R/R PTCL, AITL, CTCL, mycosis fungoides, or FL, that have received and are refractory to at least 1 line of therapy (at least 2 lines of therapy and post autologous cell transplantation for FL), adequate organ functions and CD4+ T-cells >200 cells/uL (>100 for AITL). Primary endpoints are safety of MEDI-570, dose limiting toxicities (DLT)s and its recommended phase 2 dose (RP2D). Secondary endpoints include: pharmacokinetics (PK), overall response rate (ORR) based on Lugano classification and progression-free survival (PFS). Exploratory endpoints include various correlative studies. This study is supported by the National Cancer Institute Experimental Therapeutics Clinical Trials Network (ETCTN) and Early Drug Development Opportunity Program (EDDOP) (NCT02520791). Results: As of June 2020, the dose escalation phase has been completed. Patients were enrolled and evaluable for safety and efficacy. Median age is 63 (range: 29-80), female/male ratio=5/13, histologic types consisted in AITL (n= 12, 71%), PTCL NOS (n=3, 18%) and CTCL (n=2, 12%). The median number of prior therapies were 7.5 (1 - 16), stage III/IV in 83%, prior autologous HCT in 18%. There were 4 partial remissions (PR) and 7 with stable disease (SD), all patients with AITL. Two patients (1 PR and 1 SD) remain on treatment. One patient completed treatment and remains in a stable PR for over a year without further treatment. One patient in PR underwent allogeneic hematopoietic transplantation (HCT) and remains in remission. The most common grade 3/4 AEs were decreased CD4+ T-cells as expected anemia (12%), hypophosphatemia (12%), thrombocytopenia (6%), infusion related reactions (6%). No DLTs were reported, and the maximum tolerated dose was not established. Initial PK analyses demonstrated that MEDI-570 systemic exposure increased in a dose-dependent manner, and a RP2D was determined. Peripheral blood flow cytometry analysis of T-cell subsets showed that MEDI-570 caused a rapid and sustained decrease in CD4+ T-cells. It also resulted in reductions in circulating of certain ICOS+ T-cells, especially on days 7-21 post treatment. Conclusion: MEDI-570 was safe, well tolerated and showed promising clinical activity in poor-risk refractory and heavily pretreated AITL. A RP2D was established. MEDI-570 results in sustained reduction of the targeted ICOS+T lymphocytes. The study continues enrolling in the expansion phase. Disclosures Chavez: Morphosys: Consultancy, Speakers Bureau; Merck: Research Funding; Bayer: Consultancy; BeiGene: Speakers Bureau; Karyopharm: Consultancy; AbbVie: Consultancy; Genentech: Speakers Bureau; AstraZeneca: Speakers Bureau; Gilead: Consultancy; Verastem: Consultancy; Epizyme: Speakers Bureau; Celgene: Consultancy; Novartis: Consultancy; Kite, a Gilead Company: Consultancy, Speakers Bureau; Pfizer: Consultancy. William:Dova: Research Funding; Seattle Genetics: Research Funding; Incyte: Research Funding; Merck: Research Funding; Kyowa Kirin: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Guidepoint Global: Consultancy. Brammer:Celgene Corporation: Research Funding; Seattle Genetics, Inc.: Speakers Bureau. Smith:Pharmacyclics: Research Funding; Genentech/Roche: Consultancy, Other: Support of parent study and funding of editorial support, Research Funding; Acerta: Research Funding; BMS: Consultancy; Karyopharm: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; FortySeven: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy. Prica:astra zeneca: Honoraria; seattle genetics: Honoraria; Gilead: Honoraria. Zain:Kyowa Kirlin: Research Funding; Mundai Pharma: Research Funding; Seattle Genetics: Research Funding. Glenn:Genentech: Research Funding. Mehta-Shah:Verastem: Research Funding; Karyopharm Therapeutics: Consultancy; Kyowa Kirin: Consultancy; Innate Pharmaceuticals: Research Funding; Celgene: Research Funding; Genetech: Research Funding; C4 Therapeutics: Consultancy; Bristol Myers-Squibb: Research Funding. Boutrin:Astrazeneca: Current Employment, Current equity holder in private company. Zhao:Astrazeneca: Current Employment, Current equity holder in private company. Cheng:Astrazeneca: Current Employment, Current equity holder in private company. Standifer:Astrazeneca: Current Employment, Current equity holder in private company. Carlesso:Astrazeneca: Current Employment, Current equity holder in private company. Siu:Shatthucks: Research Funding; Symphogen: Consultancy, Research Funding; Tessa: Consultancy; Treadwell Therapeutics: Consultancy, Current Employment; Pfizer: Research Funding; Voronol: Consultancy; Rubius Therapeutics: Consultancy; Abbvie: Research Funding; Agios: Current equity holder in publicly-traded company; Arvinas: Consultancy; Astellas: Research Funding; AstraZeneca: Consultancy, Research Funding; Bayer: Research Funding; Boerhinger-Ingelheim: Research Funding; Bristol-Myers Squibb: Research Funding; Glaxo Smith Kline: Research Funding; Intensity Therapeutics: Research Funding; Navire: Consultancy; Novartis: Research Funding; Oncorus: Consultancy; Mirati: Consultancy, Research Funding; Roche/Genentech: Consultancy; Relay Therapeutics: Consultancy; Roche: Consultancy; Merck: Consultancy.
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 | 0,000 |
| 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 | 0,001 |
| 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 ».