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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 on OpenAlexaboutno aff
Shiraj Sen, Justin Call, Kyriakos P. Papadopoulos, F. Donelson Smith, Edward H. van der Horst

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsTolerabilityPharmacokineticsPhase (matter)PharmacologyComputer scienceMedicineChemistryAdverse effectOrganic chemistry

Abstract

fetched live from OpenAlex

Background 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,1 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).2 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.3–5 Methods 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. Results 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. Conclusions 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. Trial Registration NCT05864144 (Start May 2023, Est. Close June 2027) ClinicalTrials.gov, Trial #NCT02671955. References Gao J, et al. VISTA is an inhibitory immune checkpoint that is increased after ipilimumab therapy in patients with prostate cancer. Nat Med 2017;23:551–555. ClinicalTrials.gov,Trial #NCT02671955. Thisted T, et al. 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, et al. 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, et al. 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. Ethics Approval 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.313
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2023
Admission routes1
Has abstractyes

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