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ENROLLING BY INVITATION
NCT07316361
EARLY_PHASE1

GYNORYLAQ™-VLINIVAL™: Ψ-Guided Personalized Neoantigen Peptide Vaccine for High-Risk Endometrial Cancer

Sponsor: Biogenea Pharmaceuticals Ltd.

View on ClinicalTrials.gov

Summary

GYNORYLAQ-VLINIVAL is an Early Phase I, non-randomized, single-arm, open-label clinical trial enrolling 40 patients with high-risk or recurrent endometrial carcinoma. All participants receive GYNORYLAQ-TM, a personalized neoantigenic peptide vaccine generated by the GYNORYLAQ-EC™ quantum-classical engine, in combination with systemic and supportive drug regimens that are individually selected and prescribed by the treating medical oncologist, Dr Emmanouelides Christos, according to contemporary standards of care and the clinical status of each patient. Only the GYNORYLAQ-TM vaccine is considered investigational within this protocol; all concomitant drugs (including antineoplastic agents and supportive care medications) are non-investigational, chosen and adjusted at the discretion of Dr Emmanouelides Christos. The primary objectives are to evaluate the safety/tolerability of GYNORYLAQ-TM in this real-world therapeutic context and the feasibility of quantum-guided, GMP-grade personalized vaccine manufacture. Secondary and exploratory objectives characterize vaccine-induced T-cell immunity and explore correlations between quantum/physics-based scores and clinical/immunologic outcomes.

Official title: Phase I Single-Arm Open-Label Study of GYNORYLAQ™-VLINIVAL™ Quantum-Entangled Personalized Neoantigen Peptide Vaccine (Seq⊗HLA⊗Immune→|ΨT⟩) in High-Risk/Recurrent Endometrial Carcinoma

Key Details

Gender

All

Age Range

Any - Any

Study Type

INTERVENTIONAL

Enrollment

40

Start Date

2026-02-02

Completion Date

2031-12-02

Last Updated

2026-01-07

Healthy Volunteers

No

Interventions

BIOLOGICAL

• Biological: GYNORYLAQ-TM Personalized Neoantigenic Peptide Vaccine

GYNORYLAQ-TM is an individualized, peptide-based cancer vaccine composed of synthetic neoantigenic peptides uniquely selected for each patient using the GYNORYLAQ-EC™ quantum-classical computational engine. Tumour and matched normal samples are sequenced to identify somatic variants (missense mutations, indels, frameshifts). For each patient, candidate peptide-HLA pairs are generated and scored using an integrated feature set that includes sequence-based presentation predictions, antigen-processing priors, quantum-geometric similarity measures, structural pocket occupancy, and docking-derived thermodynamic parameters (ΔG°, K\_d). Peptides passing predefined gates on binding strength, quantum similarity, and predicted immunogenicity are prioritized to form a personalized panel (typically \~10-20 peptides, including 8-11mer class I and longer helper/cross-presenting peptides) suitable for GMP synthesis.

Locations (1)

Biogenea Pharmaceuticals Ltd & Interbalkan Medical Center - International Oncology Center

Thessaloniki, Thessaloniki, Greece