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Enregistrement W4388083448 · doi:10.1136/jitc-2023-sitc2023.1532

1532 A phase 1/2 study of safety, tolerability, and pharmacokinetics of SNS-101, a pH-sensitive anti-VISTA mAb, as monotherapy and in combination with cemiplimab in patients with advanced solid tumors

2023· article· en· W4388083448 sur OpenAlexaboutno aff
Shiraj Sen, Justin Call, Kyriakos P. Papadopoulos, F. Donelson Smith, Edward H. van der Horst

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer Research and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTolerabilityPharmacokineticsPhase (matter)PharmacologyComputer scienceMedicineChemistryAdverse effectOrganic chemistry

Résumé

récupéré en direct d'OpenAlex

<h3>Background</h3> VISTA (V-domain Ig suppressor of T-cell activation) is a significant emerging immuno-oncology target. Despite the therapeutic potential of VISTA inhibition demonstrated in preclinical studies,<sup>1</sup> clinical development of anti-VISTA antibodies has been challenging due to dose-limiting on-target cytokine release at sub-therapeutic doses and target mediated drug disposition (TMDD).<sup>2</sup> SNS-101 is a fully human IgG1 monoclonal antibody designed to selectively disrupt the VISTA:PSGL-1 immune checkpoint in the acidic tumor microenvironment. Preclinical data demonstrate the potential of SNS-101 to exhibit favorable safety and tolerability profiles and promote anti-tumor activity as monotherapy or in combination with PD-1 blockade.<sup>3–5</sup> <h3>Methods</h3> This is a first-in-human, open-label, multi-center, dose escalation and expansion study to evaluate the safety, tolerability, pharmacokinetics (PK), pharmacodynamics and efficacy of SNS-101 as monotherapy or in combination with cemiplimab in patients with advanced solid tumors (NCT05864144). The study is being conducted in 3 parts: Part A: Phase 1 (P1) Monotherapy Dose Escalation (SNS-101 alone); Part B: P1 Combination Dose Escalation (SNS-101 + cemiplimab); Part C: Phase 2 (P2) Expansion Cohorts (SNS-101 ± cemiplimab). Patients will receive SNS-101 ± cemiplimab as intravenous infusion(s) every 3 weeks and may continue until confirmed progressive disease or unacceptable toxicity. Dose escalation follows the Bayesian Optimal Interval Design until the Maximum Tolerated Dose (MTD)/Recommended Phase 2 Dose (RP2D) is determined. Primary objectives include safety, tolerability and RP2D/MTD (P1), and evaluation of anti-tumor activity (P2). Safety and tolerability assessments include monitoring of dose limiting toxicities (DLTs) and adverse events (AEs), PK, anti-drug antibodies and inflammatory cytokine release. Tumor imaging and T-cell immunophenotyping are being utilized to monitor responses. <h3>Results</h3> As of August 31, 2023, 7 patients were enrolled in Part A across three dosing cohorts (0.3 mg/kg, 1 mg/kg and 3 mg/kg). No DLTs or CRS events were noted. Nine AEs (8/9 Grade 1–2) have been reported in 5 patients. One Grade 5 AE related to disease progression and not to the treatment was observed. One AE, dermatitis acneiform, is considered treatment-related. Infusions have not required premedications. PK results show high concordance with preclinical modeling data, demonstrating dose-proportional exposure, linear elimination kinetics, and suggesting the absence of TMDD. <h3>Conclusions</h3> SNS-101 has been well tolerated and effectively dosed ≥ 10-fold higher than first-generation VISTA targeting antibodies. Preliminary clinical data support our hypothesis that pH-sensitive targeting of VISTA with SNS-101 may overcome safety and tolerability challenges encountered with non-pH-selective anti-VISTA antibodies. Updated data from ongoing cohorts will be presented. <h3>Trial Registration</h3> NCT05864144 (Start May 2023, Est. Close June 2027) ClinicalTrials.gov, Trial #NCT02671955. <h3>References</h3> Gao J,<i> et al.</i> VISTA is an inhibitory immune checkpoint that is increased after ipilimumab therapy in patients with prostate cancer. <i>Nat Med</i> 2017;<b>23</b>:551–555. ClinicalTrials.gov,Trial #NCT02671955. Thisted T, <i>et al.</i> Antagonistic pH-selective VISTA antibody SNS-101 potentiates anti-PD-1/PD-L1-induced anti-tumor immunity. In Proceedings of the SITC Annual Meeting 2021, Washington D.C., 2021. Thisted T, <i>et al.</i> SNS-101, a highly pH-selective VISTA:PSGL-1 inhibitory antibody, potentiates anti-PD-1 sensitivity, expands memory T-cells and enhances tumor infiltration of CD8 T-cells. In Proceedings of the SITC Annual Meeting 2022, Boston, MA, 2022. Thisted T, <i>et al.</i> SNS-101, a conditionally active anti-VISTA antibody, potentiates anti-tumor effects of PD1 blockade and displays favorable pharmacokinetic and cytokine release characteristics. Keystone Symposia on Next Generation Antibody Therapeutics, Banff, Alberta, Canada, 2023. <h3>Ethics Approval</h3> This study was conducted in accordance with the Declaration of Helsinki ethical principles, guidelines for Good Clinical Practice, and requirements of public registration of clinical trials. The protocol, the informed consent form and other written materials provided to participants, and any other relevant study documentation was approved by the Institutional Review Board associated with each clinical site with enrolled patients. Written informed Consent was obtained from each subject at enrollment.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,114
Score d'incertitude au seuil0,401

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,008
Tête enseignante GPT0,313
Écart entre enseignants0,305 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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