A phase I/II trial investigating the safety and efficacy of autologous TAC T cells targeting HER2 in relapsed or refractory solid tumors.
Notice bibliographique
Résumé
TPS816 Background: HER2 overexpression is well established as a therapeutic target in breast cancer and can be seen in a variety of gastrointestinal malignancies, notably in gastroesophageal cancer where positivity ranges from 4.4% to 53.4%. The recent approval of HER2-targeted therapies to treat gastroesophageal adenocarcinomas has validated HER2 as an actionable target in these diseases. Recent data also support the emerging role of HER2 directed therapy in colorectal cancer, among other solid tumors. Although patient outcomes have improved, this remains an area of significant unmet medical need. The T cell antigen coupler (TAC) technology is a novel approach to modifying a patient’s own T cells, allowing them to recognize and treat HER2+ solid tumors. The TAC receptor is composed of a HER2-binding domain, similar to a traditional chimeric antigen receptor (CAR) T cell, however unlike CAR T cells, it uses the signaling pathway of the natural T cell receptor (TCR) to avoid off target toxicity. This novel “TAC receptor” is hypothesized to deliver a targeted anti-cancer T cell response with a much-improved safety profile as compared with traditional CAR T cells such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome events (ICANS). In this ongoing clinical trial (NCT04727151), subjects undergo leukapheresis, bridging therapy (if needed) while TAC T cells are engineered, lymphodepletion chemotherapy (LDC), and finally TAC01-HER2 infusion. Methods: The Phase 1 dose escalation study is underway to investigate the safety and tolerability of TAC01-HER2 in adult subjects with HER2+ solid tumors (1+, 2+ or 3+) who have progressed after ≥2 lines of therapy at dose levels 0.3, 0.8, 3, and 8 x 106 cells/kg. Dose limiting toxicities (DLTs) are assessed up to day 28. A Phase 2 will further evaluate the safety, efficacy, and pharmacokinetics of the optimal TAC01-HER2 dose in various HER2+ tumors. As of 19 August 2022, 8 subjects have been treated at Dose Levels (DL) 1 and 2, with no observed DLTs, CRS, or ICANS. Five subjects had 11 serious adverse events, all unrelated to TAC01-HER2 treatment. A majority of adverse events were related to LDC and/or the underlying disease. At DL 2, a partial response was observed in a subject with refractory metastatic gastric adenocarcinoma (3+ HER2) on day 29, with a 36.5% reduction in measurable disease. Two additional subjects at DL 2 had stable disease, one with refractory gall bladder cancer (3+ HER2) and one with refractory colorectal cancer (2+ HER2) with no change in tumor measurements compared to baseline. Dose escalation of TAC01-HER2 is ongoing, with the first subject being treated at DL 3. These results in a heavily pre-treated gastrointestinal cancer population show manageable safety and promising efficacy with a novel T cell therapy that may have broad clinical applicability in HER+ cancers. Clinical trial information: NCT04727151 .
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 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
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 ».