Ignite Creation Date:
2026-03-26 @ 3:14 PM
Ignite Modification Date:
2026-03-31 @ 4:51 AM
Study NCT ID:
NCT07316361
Status:
ENROLLING_BY_INVITATION
Last Update Posted:
2026-01-07
First Post:
2025-12-08
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
GYNORYLAQ™-VLINIVAL™: Ψ-Guided Personalized Neoantigen Peptide Vaccine for High-Risk Endometrial Cancer
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2026-03-25'}, 'conditionBrowseModule': {'meshes': [{'id': 'D016889', 'term': 'Endometrial Neoplasms'}], 'ancestors': [{'id': 'D014594', 'term': 'Uterine Neoplasms'}, {'id': 'D005833', 'term': 'Genital Neoplasms, Female'}, {'id': 'D014565', 'term': 'Urogenital Neoplasms'}, {'id': 'D009371', 'term': 'Neoplasms by Site'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D014591', 'term': 'Uterine Diseases'}, {'id': 'D005831', 'term': 'Genital Diseases, Female'}, {'id': 'D052776', 'term': 'Female Urogenital Diseases'}, {'id': 'D005261', 'term': 'Female Urogenital Diseases and Pregnancy Complications'}, {'id': 'D000091642', 'term': 'Urogenital Diseases'}, {'id': 'D000091662', 'term': 'Genital Diseases'}]}}, 'protocolSection': {'designModule': {'phases': ['EARLY_PHASE1'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'NA', 'maskingInfo': {'masking': 'NONE'}, 'primaryPurpose': 'TREATMENT', 'interventionModel': 'SINGLE_GROUP'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 40}}, 'statusModule': {'overallStatus': 'ENROLLING_BY_INVITATION', 'startDateStruct': {'date': '2026-02-02', 'type': 'ESTIMATED'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2026-01', 'completionDateStruct': {'date': '2031-12-02', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2026-01-05', 'studyFirstSubmitDate': '2025-12-08', 'studyFirstSubmitQcDate': '2025-12-18', 'lastUpdatePostDateStruct': {'date': '2026-01-07', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2026-01-05', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2029-12-02', 'type': 'ESTIMATED'}}, 'outcomesModule': {'otherOutcomes': [{'measure': 'Dose-Limiting Toxicities (DLTs) and Early Safety Signal Detection', 'timeFrame': 'From first vaccination through the predefined DLT window (e.g., first 2-3 vaccination cycles).', 'description': 'Number and proportion of patients experiencing protocol-defined DLTs that are possibly, probably, or definitely related to GYNORYLAQ-TM, taking concomitant therapies into account.'}, {'measure': 'Vaccine immunogenicity responder rate (T-cell response to ≥1 GYNORYLAQ-TM peptide)', 'timeFrame': 'Baseline to approximately Week 24 and end of treatment (approximately Week 24).', 'description': 'Proportion of participants who develop a de novo or ≥3-fold increase from baseline in peptide-specific T-cell responses to ≥1 administered GYNORYLAQ-TM vaccine peptide, as measured by protocol-defined ex vivo IFN-γ ELISpot and/or intracellular cytokine staining (ICS) assays. Interpretation will account for concomitant drug regimens/therapies selected by Dr. Christos Emmanouelides, as specified in the protocol/SAP.'}, {'measure': 'Treatment Deliverability: Completion of Planned Priming Vaccinations', 'timeFrame': ': From first vaccination to completion of the planned priming phase (e.g., Weeks 0-8).', 'description': 'Proportion of patients who receive at least 3 of 4 planned priming GYNORYLAQ-TM doses, without early discontinuation due to toxicity, logistic failure, or disease-related clinical deterioration.'}, {'measure': 'Vaccine Immunogenicity Responder Rate (Early Phase I Immunologic Primary)', 'timeFrame': 'Baseline to approximately Week 24 and at end of treatment.', 'description': 'Proportion of patients with de novo or ≥3-fold boosted T-cell responses to ≥1 GYNORYLAQ-TM vaccine peptide, as measured by ex vivo IFN-γ ELISpot and/or intracellular cytokine staining (ICS) assays, in the context of concomitant drug regimens selected by Dr Emmanouelides Christos.'}, {'measure': 'Incidence of Grade ≥3 Immune-Mediated or Autoimmune Events Attributable to GYNORYLAQ-TM', 'timeFrame': 'From first vaccination through 30 days after last vaccination.', 'description': 'Number and proportion of patients experiencing Grade ≥3 immune-mediated AEs (e.g., colitis, hepatitis, endocrinopathies) judged by the investigator as at least possibly related to GYNORYLAQ-TM, with explicit documentation of background therapies.'}, {'measure': 'Duration of Vaccine-Induced T-Cell Responses at the Peptide Level', 'timeFrame': 'From first documented immune response to last available immunomonitoring timepoint (up to ~24 months).', 'description': 'Time (in months) from first detection of a peptide-specific response (meeting predefined positivity criteria) until loss of that response or last evaluable sample.'}, {'measure': 'Change in Intratumoral Regulatory T-Cell Density (Tregs) (Pre- vs Post-Vaccination)', 'timeFrame': 'Baseline (pre-treatment biopsy) and on-treatment biopsy at Week 12 (after 4 vaccinations).', 'description': 'Change from baseline to on-treatment in Treg density in tumor tissue, assessed by IHC/IF or multiplex platforms.'}, {'measure': 'Concomitant drug class and vaccine immunogenicity responder rate', 'timeFrame': 'Baseline to ~Week 24.', 'description': 'Outcome Measure Title: Vaccine immunogenicity responder rate by concomitant background therapy class Outcome Measure Description: Exploratory comparison of the proportion of participants meeting the protocol-defined vaccine immunogenicity responder criterion across major background therapy classes selected by Dr. Christos Emmanouelides (e.g., platinum-based chemotherapy, hormonal therapy, targeted agents, or no systemic therapy).'}, {'measure': 'Time to Treatment Failure (TTF) Under Combined Management', 'timeFrame': 'From first vaccination up to 36 months.', 'description': 'Median TTF and proportion of patients free from treatment failure at 6, 12, and 24 months.'}, {'measure': 'Patient-Reported Outcomes and Tolerability of Vaccination', 'timeFrame': 'Baseline; during vaccination (e.g., each priming visit); and follow-up (e.g., Months 6 and 12).', 'description': 'Change from baseline in the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) Global Health Status/Quality of Life scale score (range 0-100; higher scores indicate better health-related quality of life), assessed per the instrument scoring manual.'}, {'measure': 'Change in ctDNA Fraction (Variant Allele Frequency) Over Time', 'timeFrame': 'Baseline; on-treatment; and follow-up up to ~24 months.', 'description': 'Change from baseline in circulating tumor DNA fraction, quantified as variant allele frequency (VAF) for prespecified tumor variants (e.g., mean/maximum VAF across tracked variants) at each timepoint during GYNORYLAQ-TM vaccination and concomitant therapy.'}, {'measure': 'Concomitant drug class and breadth of vaccine-induced T-cell responses', 'timeFrame': 'Baseline to approximately Week 24.', 'description': 'Outcome Measure Title: Breadth of vaccine-induced T-cell responses by concomitant background therapy class Outcome Measure Description: Exploratory comparison across background therapy classes of the number of distinct GYNORYLAQ-TM vaccine peptides eliciting a protocol-defined peptide-specific T-cell response (breadth) during treatment.'}, {'measure': 'Concomitant drug class and magnitude of vaccine-induced T-cell responses', 'timeFrame': 'Baseline to approximately Week 24.', 'description': 'Outcome Measure Description: Exploratory comparison across background therapy classes of the magnitude of peptide-specific T-cell responses to GYNORYLAQ-TM vaccine peptides (per protocol-defined assay readout, e.g., ELISpot spot-forming units or ICS frequency) during treatment.'}, {'measure': 'Change in Tumor PD-L1 Expression (Pre- vs Post-Vaccination)', 'timeFrame': 'Baseline (pre-treatment biopsy) and Week 12 on-treatment biopsy (after 4 vaccinations).', 'description': 'Change from baseline to on-treatment in PD-L1 expression in tumor tissue, assessed by IHC/IF or multiplex platforms.'}, {'measure': 'Change in Tumor MHC Class I Expression (Pre- vs Post-Vaccination)', 'timeFrame': 'Baseline (pre-treatment biopsy) and Week 12 on-treatment biopsy (after 4 vaccinations).', 'description': 'Change from baseline to on-treatment in MHC class I expression in tumor tissue, assessed by IHC/IF or multiplex platforms.'}, {'measure': 'Change in Tumor MHC Class II Expression (Pre- vs Post-Vaccination)', 'timeFrame': 'Baseline (pre-treatment biopsy) and Week 12 on-treatment biopsy (after 4 vaccinations).', 'description': 'Change from baseline to on-treatment in MHC class II expression in tumor tissue, assessed by IHC/IF or multiplex platforms.'}, {'measure': 'Change in Spatial Immune Architecture in Tumor Tissue (Pre- vs Post-Vaccination)', 'timeFrame': 'Baseline (pre-treatment biopsy) and Week 12 on-treatment biopsy (after 4 vaccinations).', 'description': 'Change from baseline to on-treatment in spatial distribution patterns of immune and checkpoint markers within tumor tissue, assessed by multiplex imaging/spatial technologies.'}, {'measure': 'Change in ctDNA Concentration Over Time', 'timeFrame': 'Baseline; on-treatment; and follow-up up to ~24 months.', 'description': 'Change from baseline in circulating tumor DNA concentration in plasma, quantified as copies per mL (or genome equivalents per mL), at each timepoint during GYNORYLAQ-TM vaccination and concomitant therapy.'}, {'measure': 'Change in Number of Detectable Tumor Variants in Plasma Over Time', 'timeFrame': 'Baseline; on-treatment; and follow-up up to ~24 months.', 'description': 'Change from baseline in the number of tumor-specific variants detected in plasma ctDNA (count of variants above assay-defined detection threshold) over time during GYNORYLAQ-TM vaccination and concomitant therapy.'}, {'measure': 'ctDNA Molecular Response Rate (MRD Clearance)', 'timeFrame': 'Baseline; on-treatment; and follow-up up to ~24 months.', 'description': 'Proportion of participants who achieve ctDNA clearance (all tracked variants below the assay limit of detection) at any post-baseline timepoint during treatment.'}, {'measure': 'Correlation of ctDNA Dynamics With Immune Response and Clinical Outcomes', 'timeFrame': 'Baseline; on-treatment; and follow-up up to ~24 months.', 'description': 'Correlation between prespecified ctDNA change metrics-variant allele fraction (VAF) change (%), ctDNA concentration change (specify units, e.g., copies/mL or ng/mL), variant count change (number of variants), and/or ctDNA clearance status (cleared vs not cleared)-and:\n\nVaccine-induced immune response measures (specify measurement name(s), unit(s), and tool/assay; e.g., antigen-specific T-cell response by ELISpot \\[spot-forming units/10⁶ cells\\], antibody titer by ELISA \\[titer\\], cytokine concentration by multiplex assay \\[pg/mL\\]); and Clinical outcomes (specify endpoint name(s) and unit(s); e.g., objective response rate \\[%\\] per RECIST, progression-free survival \\[months\\], progression status \\[progressed vs not progressed\\]).\n\nAnalyses will account for concomitant therapies per protocol/SAP.'}], 'primaryOutcomes': [{'measure': 'Incidence of Treatment-Emergent AEs/SAEs and DLTs (CTCAE v5.0) With GYNORYLAQ™ Plus Oncologist-Selected Drug Regimens', 'timeFrame': 'From first vaccination through 30 days after last vaccination.', 'description': 'Incidence, severity (CTCAE v5.0 grade), type, and attribution of treatment-emergent adverse events (AEs) and serious adverse events (SAEs), and identification of dose-limiting toxicities (DLTs) during the defined DLT window, accounting for concomitant therapies prescribed by Dr. Christos Emmanouelides.'}, {'measure': 'Feasibility of Quantum-Guided Vaccine Manufacturing', 'timeFrame': 'Up to 16 weeks from tumor tissue acquisition to vaccine release and first vaccination.', 'description': 'Proportion of participants for whom:\n\nadequate tumour and matched normal samples are obtained, the GYNORYLAQ-EC™ pipeline completes successfully, a minimum number of peptides (e.g., ≥10) are synthesized and pass QC, and first vaccination occurs within a prespecified time limit (e.g., ≤16 weeks).'}, {'measure': 'Vaccine Immunogenicity (Early Phase I Co-Primary)', 'timeFrame': 'Baseline to ~Week 24 and at end of treatment.', 'description': 'Proportion of patients with de novo or boosted T-cell responses to ≥1 vaccine peptide (ELISpot/ICS), and quantitative change in vaccine-specific T-cell frequencies, in the context of concomitant oncologist-managed therapy.'}], 'secondaryOutcomes': [{'measure': 'Number of distinct GYNORYLAQ vaccine peptides recognized by participant T cells', 'timeFrame': 'Baseline; selected on-treatment timepoints; follow-up to ~12 months.', 'description': 'For each participant, the count of individual vaccine peptides (from that participant\'s personalized GYNORYLAQ peptide set) that induce a positive T-cell response in peripheral blood mononuclear cells (PBMCs) following ex vivo stimulation with each peptide (or peptide pools with confirmatory deconvolution, if used). A peptide will be considered "recognized" if the response meets the pre-specified positivity criteria in the protocol/SAP (e.g., exceeding background/negative control and meeting a defined magnitude threshold), as assessed by validated immunologic assays (e.g., ELISpot and/or activation marker/flow cytometry-based readouts).\n\nUnit of Measure: Number of peptides (count)'}, {'measure': 'Number of participants with persistent vaccine-induced peptide-specific immune responses (≥3-fold increase)', 'timeFrame': 'Up to ~12 months after first vaccination.', 'description': 'Number of participants who maintain a ≥3-fold increase from baseline in peptide-specific immune responses to one or more administered vaccine peptides at late follow-up timepoints, based on protocol-defined immunogenicity assays and response criteria. Maintenance of ≥3-fold increases in peptide-specific responses at late timepoints.'}, {'measure': 'Objective Response Rate (ORR) in participants with measurable disease receiving GYNORYLAQ-TM plus oncologist-selected therapy', 'timeFrame': 'Up to ~36 months.', 'description': 'Proportion of participants with measurable disease who achieve complete response (CR) or partial response (PR) as best overall response while receiving GYNORYLAQ-TM in combination with oncologist-selected therapy, assessed per protocol-defined response criteria (e.g., RECIST v1.1).\n\nUnit of Measure: Percentage (%)'}, {'measure': 'Correlation of quantum/physics-based peptide metrics and predicted immunogenicity probabilities with observed immune and clinical outcomes', 'timeFrame': 'Baseline through study completion (an average of 3 years).', 'description': 'Associations between peptide-level quantum/physics-based metrics, quantum kernel, and Fubini-Study distance) and model-derived immunogenicity probabilities versus observed immune responses (e.g., peptide-specific T-cell response measures per protocol-defined assays) and clinical outcomes. Analyses will account for concomitant real-world drug combinations/therapies selected by Dr. Christos Emmanouelides (e.g., via stratification and/or covariate adjustment), as specified in the protocol/SAP.'}, {'measure': 'Number and proportion of participants with protocol-defined dose-limiting toxicities (DLTs) related to GYNORYLAQ-TM', 'timeFrame': 'From first vaccination through the end of the DLT evaluation window (up to 84 days; Cycles 1-3, each cycle is 28 days).', 'description': 'Number and proportion of participants who experience one or more protocol-defined DLTs assessed as possibly, probably, or definitely related to GYNORYLAQ-TM. Attribution will consider concomitant therapies (including real-world therapies selected by Dr. Christos Emmanouelides) per protocol/SAP-defined causality assessment.'}, {'measure': 'Proportion of participants with successful end-to-end GYNORYLAQ-TM manufacturing and first vaccination within ≤16 weeks', 'timeFrame': 'Up to 16 weeks from tumor tissue acquisition to GYNORYLAQ-TM batch release and first vaccination.', 'description': 'Proportion of participants for whom: (a) adequate tumor and matched normal samples are obtained; (b) the GYNORYLAQ-EC™ pipeline completes successfully; (c) a prespecified minimum number of personalized peptides (e.g., ≥10) are synthesized and pass all required GMP quality control tests; and (d) the first vaccination occurs within ≤16 weeks of tumor tissue acquisition.'}]}, 'oversightModule': {'oversightHasDmc': True, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'keywords': ['Endometrial carcinoma', 'Personalized neoantigen vaccine', 'Peptide-based cancer immunotherapy', 'Quantum-classical vaccine design (GYNOLYVAQ-EC™)', 'Tumour-specific neoantigens', 'Immunogenicity and T-cell responses', 'Early phase I interventional clinical trial'], 'conditions': ['Endometrial Carcinoma', 'Endometrial Carcinoma Stage III']}, 'descriptionModule': {'briefSummary': '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.', 'detailedDescription': 'Clinical Background\n\nEndometrial carcinoma is the most common gynecologic malignancy in developed regions. While many early-stage tumours are cured with surgery ± radiotherapy, patients with high-risk, recurrent, or metastatic disease frequently experience relapse after standard therapy and have limited durable options. Particularly poor prognoses are seen in:\n\nCopy-number-high / p53-mutated and serous histologies pMMR tumours with "cold" microenvironments and modest immunotherapy responses MMRd/MSI-H tumours that initially respond to PD-1 blockade but often ultimately progress Across these molecular subtypes, tumours generate patient-specific neoantigens from point mutations, indels, frameshifts in coding microsatellites, fusions, and splice alterations. These mutant peptides can be processed and presented on HLA class I and II molecules, where they may be recognized by T cells as "non-self." This provides a biologically compelling target space for personalized neoantigen vaccination.\n\nHowever, conventional neoantigen pipelines are largely sequence-based, dependent on binding predictors and heuristic scoring, with limited use of structural information, energetics, or explicit uncertainty quantification. Clinically, many vaccine trials have paired neoantigen constructs with fixed chemotherapy or checkpoint regimens that do not reflect the heterogeneity of real-world oncology practice.\n\nGYNORYLAQ-VLINIVAL is designed to address both issues. It integrates a physics-aware, quantum-classical computational vaccine platform (GYNORYLAQ-EC™) with individualized clinical oncology practice:\n\nAll enrolled patients receive a GYNORYLAQ-EC-selected personalized neoantigenic peptide vaccine (GYNORYLAQ-TM).\n\nSystemic and supportive drug therapy is not fixed by protocol. Instead, it is selected, initiated, and adjusted by the treating medical oncologist, Dr Emmanouelides Christos, according to tumour stage, prior treatments, organ function, comorbidities, tolerability, and contemporary guidelines.\n\nThe study thus evaluates GYNORYLAQ-TM in a realistic multimodal context, layered on top of individualized best-available care rather than a single mandated backbone. All concomitant antineoplastic and supportive agents are recorded but not dictated by the protocol.\n\nGYNORYLAQ-EC™ Quantum-Classical Vaccinology\n\nGYNORYLAQ-EC™ is the computational core that maps genomic and transcriptomic data into a quantum-entangled design state and, ultimately, into a manufacturable, patient-specific peptide panel. It makes explicit and auditable the chain:\n\nSequence → Geometry → Structure → Energy → Decision\n\n1. Hilbert Spaces and Global Design State\n\n The engine is formalized in terms of three Hilbert spaces:\n\n Sequence space H\\_"seq" Basis: {∣p\\_i⟩}, where each basis vector corresponds to a candidate neoantigen peptide (typically 8-11mer class I and longer peptides for class II / cross-presentation).\n\n HLA space H\\_"HLA" Basis: {∣〖"HLA" 〗\\_α⟩}, representing the patient\'s specific class I and II alleles.\n\n Immune/tumour space H\\_"immune" Basis: {∣〖"TCR" 〗\\_β⟩⊗∣〖"tumour\\_state" 〗\\_k⟩}, capturing an abstract TCR repertoire and coarse-grained tumour states (e.g., burden, clonality, immune infiltration).\n\n The total Hilbert space is:\n\n H=H\\_"seq" ⊗H\\_"HLA" ⊗H\\_"immune" .\n\n A formal design-time state ∣Ψ\\_s⟩∈H evolves through computational blocks (enumeration, scoring, gating, amplification) toward a final design state ∣Ψ\\_T⟩ whose "support" corresponds to peptides selected for clinical manufacture.\n2. Initial Superposition and Grover-Style Entangled Search From tumour and matched normal sequencing, the pipeline enumerates a set of candidate peptides {p\\_i }\\_(i=1)\\^N ┤derived from high-confidence somatic variants, flanked appropriately for presentation. Each candidate is associated with one or more patient HLAs.\n\n In the idealized quantum picture, the engine constructs an equal superposition over candidates in sequence space:\n\n ∣Φ\\_"start" ⟩=1/√N ∑\\_(i=1)\\^N▒∣ p\\_i⟩.\n\n Each peptide-HLA pair p is also embedded as a normalized quantum state in an n-qubit Hilbert space:\n\n ∣ψ(p)⟩=U(z\\_Q (p),θ)" "∣0⟩\\^(⊗n),\n\n where: U(⋅) is a parametrized feature map (data-reuploading circuit with fixed entanglers), z\\_Q (p) is a low-dimensional classical quantum descriptor, θ is a vector of trainable parameters.\n\n The quantum kernel and Fubini-Study distance between two candidates p and q are:\n\n K\\_Q (p,q)=∣⟨ψ(p)∣ψ(q)⟩∣\\^2, d\\_"FS" (p,q)=arccos\u2061(∣⟨ψ(p)∣ψ(q)⟩∣)∈\\[0,π/2\\].\n\n d\\_"FS" =0 corresponds to identical rays, d\\_"FS" =π/2 to orthogonal states. K\\_Q can be interpreted as the probability that ∣ψ(p)⟩ is projected onto ∣ψ(q)⟩. Peptides with low sequence identity but similar higher-order physicochemical structure may map close together on this manifold, generating large K\\_Q even when classical similarity is low.\n\n To implement Grover-style search, the engine defines a marking predicate f(i) such that:\n\n f(i)=1 if peptide p\\_i passes three concordant gates: Geometry: d\\_"FS" to a trusted set of experimentally validated epitopes lies within a predefined window.\n\n Thermodynamics: binding affinity predicted via ΔG° and K\\_d\\^"eff" exceeds prespecified thresholds.\n\n Immunogenicity: calibrated probability I ̂(p\\_i) is above a minimum value.\n\n The phase oracle acting on sequence space is:\n\n O ̂\\_"mark" ∣p\\_i⟩=(-1)\\^(f(i))∣p\\_i⟩.\n\n A diffusion operator reflecting about the mean of the initial superposition, D=2∣Φ\\_"start" ⟩⟨Φ\\_"start" ∣-I,\n\n is combined with the oracle to form the Grover iterate: G=D" " O ̂\\_"mark" .\n\n After r iterations,\n\n ∣Φ\\_r⟩=G\\^r∣Φ\\_"start" ⟩=sin\u2061((2r+1)θ)" "∣"good"⟩+cos\u2061((2r+1)θ)" "∣"bad"⟩,\n\n where 〖sin\u2061〗\\^2 θ=M/N and M is the (unknown) number of marked peptides. GYNORYLAQ-EC™ intentionally uses small r (typically 1-3) to produce a shallow, interpretable amplitude amplification of promising peptides, robust to uncertainty in M and to NISQ-era noise.\n3. Unified Feature Representation and Composite Kernel\n\n For each candidate peptide-HLA pair p, GYNORYLAQ-EC™ constructs a unified feature vector:\n\n Φ(p)=\\[e\\_"CNN" (p)," aux"(p)," " z\\_Q (p)," " ϕ\\_"struct" (p)," " ϕ\\_"dock" (p)\\].\n\n Components:\n\n Deep sequence/HLA embedding e\\_"CNN" (p) Derived from convolutional or transformer models trained on large immunopeptidome datasets, capturing allele-specific binding motifs and sequence context.\n\n Auxiliary biological priors "aux"(p) Proteasomal cleavage likelihood, TAP transport propensity, transcript expression (TPM/FPKM), allelic copy number, clonality (clonal vs subclonal variants), and when available, ctDNA/MRD readouts. This approximates the effective antigen source strength.\n\n Quantum descriptor z\\_Q (p) Low-dimensional classical feature vector parameterizing the quantum circuit. It compresses physicochemical and positional information optimized for quantum expressivity.\n\n Structural term ϕ\\_"struct" (p) Summarizes pocket occupancy, peptide-HLA contact patterns, solvent accessibility, and local strain in predicted or modeled peptide-HLA complexes.\n\n Docking ensemble features ϕ\\_"dock" (p) Aggregates pose energies, mean and dispersion of docking scores, RMSD across poses, and measures of conformational diversity.\n\n Similarity between peptide-HLA candidates p and q is encoded in a composite positive semi-definite kernel:\n\n K\\_"total" (p,q)=αK\\_"CNN" (p,q)+βK\\_"aux" (p,q)+γK\\_Q (p,q)+δK\\_"struct" (p,q)+εK\\_"dock" (p,q),\n\n where: K\\_"CNN" ,K\\_"aux" ,K\\_"struct" ,K\\_"dock" are PSD kernels on the respective feature blocks, K\\_Q is the quantum kernel described above, α,β,γ,δ,ε≥0 adjust the relative weight of each modality. Because each component kernel is PSD, any non-negative linear combination is PSD, ensuring that K\\_"total" is suitable for kernel logistic regression or related methods.\n\n A decision function is:\n\n f(p)=∑\\_(i=1)\\^M▒α\\_i K\\_"total" (p,p\\_i)+b,\n\n where {p\\_i } are training peptides and {α\\_iⓜ,b} are learned coefficients. The immunogenicity probability is I ̂(p)=σ(f(p))=1/(1+e\\^(-f(p)) ),\n\n which is then calibrated (e.g., Platt scaling, isotonic regression, or temperature scaling) so that predicted probabilities match observed frequencies as closely as possible. This calibrated I ̂(p) is used in the immunogenicity gate and in downstream analysis.\n4. Quantum Geometry, Entanglement, and Regularization Beyond similarity, GYNORYLAQ-EC™ monitors the internal structure and entanglement of quantum states ∣ψ(p)⟩. For a bipartition of the n-qubit system into subsystems A and B, the reduced density matrix on A is ρ\\_A (p)=Tr\\_B (∣ψ(p)⟩⟨ψ(p)∣),\n\n and the von Neumann entanglement entropy is S\\_A (p)=-Tr\\[ρ\\_A (p)log\u2061ρ\\_A (p)\\].\n\n A regularization term in the training objective encourages entropy values within a target range, avoiding:\n\n Trivial product states (S\\_A≈0) with limited expressive power, and Excessively entangled states with high entropy that may be numerically unstable and difficult to approximate on noisy hardware.\n\n The quantum Fisher information matrix F(θ) characterizes the sensitivity of the encoded states to parameter changes. Its entries are F\\_ij (θ)=R\\[⟨∂\\_i ψ∣∂\\_j ψ⟩-⟨∂\\_i ψ∣ψ⟩" "⟨ψ∣∂\\_j ψ⟩\\],\n\n with ∣∂\\_i ψ⟩=∂∣ψ(θ)⟩/∂θ\\_i. Poorly conditioned Fisher matrices (with very small eigenvalues) imply unstable parameter estimates and kernel values. Penalizing ill-conditioned F(θ) promotes well-conditioned embeddings and more robust optimization.\n5. Thermodynamic Bridge\n\n Peptide-HLA binding energetics are estimated from structural docking ensembles and then converted into standard thermodynamic quantities. For each peptide-HLA pair, docking yields a set of microstates with free energies ΔG\\_i\\^∘ (kcal·mol-¹). The relationship between standard free energy of binding and dissociation constant is:\n\n ΔG\\^∘=RTln\u2061K\\_d,\n\n with: R=1.987×10\\^(-3) " " 〖"kcal\\\\cdotpmol" 〗\\^(-1) 〖"\\\\cdotpK" 〗\\^(-1), T=310" K" (37 °C), so RT≈0.616" " 〖"kcal\\\\cdotpmol" 〗\\^(-1).\n\n An effective association constant is computed from the ensemble:\n\n K\\_a\\^"eff" =∑\\_i▒w\\_i exp\u2061" \u2063" (ⓜ-(ΔG\\_i\\^∘)/RT),K\\_d\\^"eff" =1/(K\\_a\\^"eff" ),ΔG\\_"eff" \\^∘=-RTln\u2061K\\_a\\^"eff" ,\n\n where w\\_i are normalized weights. Uncertainty in ΔG\\_i\\^∘ (e.g., dispersion across poses) is propagated to yield uncertainty bands on K\\_d\\^"eff" (typically reported in nM). Prespecified thresholds on ΔG\\_"eff" \\^∘ and K\\_d\\^"eff" define a unit-consistent binding gate, ensuring that retained peptides are predicted to bind with sufficient affinity under physiologic conditions.\n6. Immunogenicity and Benefit-Risk Functional\n\n The calibrated classifier outputs I(p), a probability of T-cell recognition for each peptide-HLA pair. Conceptually, GYNORYLAQ-EC™ also defines a benefit-risk operator:\n\n O ̂=O ̂\\_"benefit" -λO ̂\\_"risk" ,\n\n on H\\_"immune" ⊗H\\_"tumour" , where: O ̂\\_"benefit" rewards states with high frequencies of vaccine-matched effector/memory TCR configurations and low tumour burden.\n\n O ̂\\_"risk" penalizes states associated with excessive systemic peptide exposure, off-target similarity to critical self-proteins, or overly broad activation.\n\n For a notional evolution operator U\\_"tot" (θ),\n\n ∣Ψ\\_T (θ)⟩=U\\_"tot" (θ)∣Ψ\\_0⟩,J(θ)=⟨Ψ\\_T (θ)∣O ̂∣Ψ\\_T (θ)⟩.\n\n In practice, this expression summarizes a multi-objective optimization: the final GYNORYLAQ-TM panel is chosen to approximate a high-J(θ) subset while obeying manufacturing, safety, and panel-size constraints.\n7. Clinical Output: GYNORYLAQ-TM Panel\n\nAfter passing geometry, thermodynamics, and immunogenicity gates and undergoing shallow Grover-style amplification, candidate peptides are further screened through classical manufacturability and safety filters:\n\nSynthetic feasibility and solubility. Avoidance of highly problematic motifs (e.g., extreme hydrophobic or polybasic regions that compromise formulation).\n\nProteome-wide scans for near-self matches in critical human proteins, with stringent triage of peptides at risk for dangerous cross-reactivity.\n\nThis yields a patient-specific GYNORYLAQ-TM panel, typically comprising \\~10-20 peptides:\n\nMultiple 8-11mer class I epitopes spanning key HLA alleles, and Selected longer peptides (e.g., 15-35mers) that support class II presentation and robust CD4⁺ T-cell help.\n\nAll selected peptides are synthesized under GMP and formulated for subcutaneous or intradermal administration.\n\nInvestigational Product and Concomitant Drug Use Investigational Product Name: GYNORYLAQ-TM Personalized Neoantigenic Peptide Vaccine Type: Biological (synthetic peptide mixture) Composition: Patient-specific collection of GYNORYLAQ-EC-selected neoantigenic peptides (short class I and longer helper peptides).\n\nRoute of Administration: Subcutaneous or intradermal injection. Planned Early Phase I Vaccination Schedule (Non-Randomized) Priming phase: Approximately Weeks 0, 2, 4, and 8. Booster phase (optional): Additional doses around Months 6 and 12 in patients without prohibitive toxicity who appear to derive clinical benefit, at the discretion of Dr Emmanouelides Christos and according to protocol-defined criteria.\n\nExact timing and number of doses may be refined based on emerging safety and immunogenicity data in this early-phase, 40-patient cohort.\n\nConcomitant Drugs and Clinical Management\n\nA key design principle of GYNORYLAQ-VLINIVAL is that systemic antineoplastic and supportive therapy is individualized rather than protocol-mandated:\n\nAll decisions about systemic drug treatment are made by the treating medical oncologist, Dr Emmanouelides Christos.\n\nExamples include, but are not limited to:\n\nCytotoxic chemotherapy (e.g., platinum-based regimens, liposomal anthracyclines).\n\nHormonal therapy (e.g., progestins, aromatase inhibitors) where appropriate. Targeted agents (e.g., mTOR inhibitors, TKIs) as indicated by tumour biology and guidelines.\n\nOther immunomodulatory agents when clinically justified and permitted by the protocol.\n\nSupportive care medicines (antiemetics, analgesics, anticoagulants, growth factors, management of comorbidities, etc.) are similarly individualized.\n\nThese agents are considered non-investigational background therapy. The protocol:\n\nDoes not prescribe or prioritize specific drug regimens. Requires detailed documentation of concomitant therapies (drug names, doses, schedules, modifications, and reasons for change).\n\nImposes only standard safety constraints (e.g., limits on high-dose systemic steroids during key immune monitoring windows, minimal washout periods for certain cytotoxics or biologics, exclusion of strongly immunosuppressive regimens that could invalidate immunogenicity assessment).\n\nThis design:\n\nPreserves clinical autonomy, allowing Dr Emmanouelides Christos to treat each patient according to best current practice.\n\nEnsures that GYNORYLAQ-TM is evaluated in a real-world multimodal setting, reflective of clinical oncology practice rather than a narrow regimen.\n\nEnables exploratory analyses of how different background treatment classes (e.g., intensive chemotherapy vs endocrine maintenance vs minimal systemic treatment) may influence vaccine-induced immune responses and clinical outcomes.\n\nIn summary, GYNORYLAQ-VLINIVAL treats GYNORYLAQ-TM as the single investigational product, layered onto individualized background therapies selected and prescribed by Dr Emmanouelides Christos. The computational pipeline GYNORYLAQ-EC™ provides a fully auditable, quantum-informed, physics-aware mechanism for peptide selection, while the trial structure evaluates feasibility, safety, and immunologic activity under conditions that closely resemble routine care for high-risk endometrial carcinoma.'}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD', 'ADULT', 'OLDER_ADULT'], 'healthyVolunteers': False, 'eligibilityCriteria': "Inclusion Criteria: Participants must meet all of the following criteria to be eligible:\n\nInformed Consent and Legal Capacity 1.1. Ability to understand the nature of the study and provide written informed consent personally or via a legally authorized representative, in accordance with local regulations.\n\n1.2. Willingness and ability (participant and/or guardian) to comply with scheduled visits, vaccination procedures, blood draws, imaging, and other study-related assessments.\n\nDiagnosis and Histology 2.1. Histologically confirmed endometrial carcinoma (endometrioid, serous, clear cell, mixed histology, carcinosarcoma, or other specified high-risk subtypes), documented by pathology report.\n\n2.2. High-risk, recurrent, or metastatic disease, defined by at least one of: FIGO Stage III or IV at initial diagnosis, and/or Recurrent or progressive disease after prior surgery ± radiotherapy ± systemic therapy, not amenable to curative-intent surgery or radiotherapy.\n\nDisease Status at Enrollment 3.1. Radiologically measurable disease per RECIST v1.1, or evaluable disease if allowed by protocol (e.g., measurable by other validated imaging or biomarker criteria).\n\n3.2. Disease status documented by CT/MRI (or PET/CT, if local standard) within 28 days before the first GYNORYLAQ-TM vaccination.\n\nPrior Anti-cancer Therapy 4.1. Participants may have received prior surgery, radiotherapy, chemotherapy, endocrine therapy, and/or targeted agents, provided all of the following apply:\n\n* 3 weeks since last dose of cytotoxic chemotherapy (≥6 weeks for mitomycin C or nitrosoureas).\n* 2 weeks since last dose of endocrine therapy (if applicable).\n* 4 weeks (or 5 half-lives, whichever is longer) since last dose of any investigational systemic agent or biologic therapy.\n* 2 weeks since completion of palliative radiotherapy to non-CNS sites, with radiotherapy-related toxicities recovered to Grade ≤1 (CTCAE v5.0).\n\n4.2. Recovery from acute toxicity of prior therapies to Grade ≤1 or baseline (CTCAE v5.0), except for: Alopecia, Stable peripheral neuropathy (≤Grade 2), Other protocol-specified exceptions. 4.3. Prior immune checkpoint inhibitor therapy (e.g., anti-PD-1/PD-L1) is allowed, provided there is no history of Grade ≥3 immune-related adverse event that mandated permanent discontinuation.\n\nSuitability for Systemic Therapy (Clinical Practice Integration) 5.1. In the opinion of the treating medical oncologist Dr Emmanouelides Christos, the participant is suitable for ongoing systemic anti-cancer and supportive drug treatment (e.g., chemotherapy, endocrine therapy, targeted therapy) consistent with prevailing guidelines and local standards of care.\n\n5.2. There is no absolute contraindication to all forms of systemic therapy that might reasonably be selected by Dr Emmanouelides Christos.\n\n5.3. The participant agrees that systemic and supportive drugs will be chosen, initiated, and adjusted by Dr Emmanouelides Christos and recorded as background therapy.\n\nTumour Tissue and Blood Availability 6.1. Availability of sufficient tumour material for sequencing and neoantigen discovery: Fresh tumour tissue from recent biopsy or surgery (preferred) obtained within approximately the last 6 months, or Adequate archival FFPE tumour tissue (block or unstained slides) deemed sufficient by the central laboratory for DNA/RNA extraction.\n\n6.2. Availability of matched normal sample (e.g., peripheral blood) for germline reference.\n\n6.3. Willingness, when clinically safe and feasible, to undergo additional tumour biopsy/biopsies for translational and correlative studies per protocol.\n\nPerformance Status and Clinical Stability 7.1. Eastern Cooperative Oncology Group (ECOG) performance status 0 or 1. 7.2. Anticipated life expectancy of ≥ 3 months, as judged by the investigator. Adequate Organ and Marrow Function (All labs within 14 days prior to first vaccine dose; repeat as clinically indicated.) 8.1. Hematologic function Absolute neutrophil count (ANC) ≥ 1.5 × 10⁹/L (without growth factor support within 7 days).\n\nPlatelets ≥ 100 × 10⁹/L (without transfusion within 7 days). Hemoglobin ≥ 9.0 g/dL (transfusion allowed if stable for ≥1 week). 8.2. Hepatic function Total bilirubin ≤ 1.5 × upper limit of normal (ULN); In participants with documented Gilbert's syndrome, total bilirubin ≤3 × ULN may be allowed if direct bilirubin ≤1.5 × ULN.\n\nAST (SGOT) and ALT (SGPT) ≤ 2.5 × ULN (≤5 × ULN in presence of liver metastases).\n\nAlkaline phosphatase ≤ 2.5 × ULN (≤5 × ULN in presence of bone or liver metastases).\n\n8.3. Renal function Serum creatinine ≤ 1.5 × ULN or Creatinine clearance ≥ 50 mL/min (Cockcroft-Gault or institutional standard). 8.4. Coagulation (if clinically indicated) INR and aPTT within institutional normal limits or medically acceptable for participants on stable anticoagulation.\n\nInfection and Virology 9.1. No uncontrolled active infection requiring IV antibiotics or hospitalization.\n\n9.2. Hepatitis B (HBV): Participants with resolved infection (HBsAg-, anti-HBc+) and undetectable HBV DNA may be included with monitoring.\n\nParticipants with chronic HBV (HBsAg+) may be eligible if HBV DNA is adequately suppressed under antiviral therapy and hepatic function meets criteria.\n\n9.3. Hepatitis C (HCV): Participants with HCV antibody positivity may be included if HCV RNA is negative or controlled on therapy and hepatic function is acceptable.\n\n9.4. HIV: Participants with HIV infection may be eligible if on a stable antiretroviral regimen with suppressed viral load and CD4 count above a protocol-defined threshold (e.g., ≥200 cells/μL), without uncontrolled opportunistic infections.\n\nReproductive Potential and Contraception 10.1. Participants who are capable of causing pregnancy or becoming pregnant must have no evidence of ongoing pregnancy at baseline (e.g., negative pregnancy test where applicable and per local regulations) and must agree to use highly effective contraception or remain abstinent from sexual activity that could result in pregnancy for at least 6 months after the last GYNORYLAQ-TM vaccination.\n\n10.2. Contraception methods may include, but are not limited to: hormonal contraceptives, intrauterine devices, or a combination of barrier methods, as per local guidelines and clinical judgment.\n\n10.3. Participants who are permanently infertile (e.g., surgical sterilization) or post-reproductive (per local definitions) are not required to use contraception.\n\n\\-\n\nExclusion Criteria: Participants meeting any of the following will be excluded:\n\nTumour and Disease Characteristics 1.1. Cancers not consistent with endometrial carcinoma as primary site (e.g., primary cervical or ovarian carcinoma) unless clearly documented as metastatic/endometrial in origin.\n\n1.2. Disease requiring urgent, life-saving intervention that would preclude safe vaccine administration (e.g., impending organ failure requiring immediate surgery or high-dose radiotherapy).\n\n1.3. Disease burden or rate of progression such that, in the opinion of the investigator and/or Dr Emmanouelides Christos, any delay associated with vaccine manufacturing and initiation of protocol therapy would be unsafe.\n\nPrior Therapies and Confounding Investigational Products 2.1. Prior receipt of neoantigen-specific or tumour vaccine products that target highly overlapping epitope sets in a way that would confound interpretation of GYNORYLAQ-TM-induced responses, unless approved case-by-case.\n\n2.2. Participation in another interventional clinical trial with therapeutic intent or receipt of an investigational systemic agent within 4 weeks (or 5 half-lives, whichever is longer) before first GYNORYLAQ-TM dose, unless discussed with and approved by the sponsor/investigator.\n\n2.3. Prior allogeneic hematopoietic stem cell or solid organ transplantation. Autoimmune and Immune-mediated Conditions 3.1. Active, known, or suspected autoimmune disease requiring systemic immunosuppressive treatment (e.g., ≥10 mg/day prednisone equivalent) within the past 12 months, including but not limited to: Systemic lupus erythematosus Inflammatory bowel disease (Crohn's disease, ulcerative colitis) Multiple sclerosis Severe rheumatoid arthritis, systemic sclerosis, vasculitis Autoimmune hepatitis 3.2. Acceptable exceptions may include: Controlled autoimmune thyroiditis on stable hormone replacement Vitiligo, type 1 diabetes mellitus, or psoriasis not requiring systemic immunosuppression Other minor or stable autoimmune conditions deemed acceptable by the investigator.\n\n3.3. Primary or acquired immunodeficiency states (other than controlled HIV as per inclusion criteria) that, in the investigator's judgment, could significantly compromise vaccine-induced immune responses or increase risk.\n\nConcomitant Immunosuppressive Therapy 4.1. Chronic systemic immunosuppressive therapy including: Steroid therapy equivalent to \\>10 mg/day prednisone for more than 14 consecutive days within 30 days prior to first vaccine dose, or Other immunosuppressive agents (e.g., calcineurin inhibitors, mTOR inhibitors, anti-TNF agents) without a washout period acceptable to the investigator.\n\n4.2. Short-term steroid use (e.g., antiemetic prophylaxis, contrast premedication, acute reaction management) is permitted as long as it is not chronic.\n\nCentral Nervous System Disease 5.1. Untreated or unstable CNS metastases or carcinomatous meningitis. 5.2. Participants with previously treated CNS metastases may be eligible if all of the following are true: Radiologically stable or responding for ≥4 weeks after completion of CNS-directed therapy, and Neurologically stable, and Off systemic corticosteroids (or on physiologic replacement doses only) for ≥2 weeks prior to first vaccine dose.\n\nCardiovascular, Pulmonary, and Other Serious Comorbidities 6.1. Clinically significant, uncontrolled cardiovascular disease, including: Myocardial infarction within 6 months, Unstable angina, Significant uncontrolled arrhythmias (excluding controlled atrial fibrillation), Symptomatic congestive heart failure (NYHA Class III-IV), Uncontrolled hypertension (e.g., systolic ≥180 mmHg or diastolic ≥100 mmHg despite treatment).\n\n6.2. History of venous thromboembolism (DVT/PE) that is not adequately anticoagulated, or acute events within 4 weeks prior to screening that pose high risk in the investigator's judgment.\n\n6.3. Severe, uncontrolled pulmonary disease, such as advanced COPD, interstitial lung disease with active symptoms, or chronic oxygen dependence that would substantially increase risk.\n\nActive Infections 7.1. Active, uncontrolled bacterial, viral, or fungal infection requiring IV therapy or hospitalization.\n\n7.2. Confirmed active tuberculosis infection. 7.3. Uncontrolled chronic HBV, HCV, or HIV infection not meeting the inclusion conditions.\n\nOther Malignancies 8.1. Another active malignancy within the past 3 years, excluding: Curatively treated non-melanoma skin cancers, In situ carcinoma (e.g., cervical, breast, bladder) treated with curative intent, Other malignancies considered by the investigator to have negligible risk of recurrence and unlikely to interfere with study participation or interpretation.\n\nHypersensitivity 9.1. Known severe hypersensitivity or anaphylaxis to any component of the GYNORYLAQ-TM peptide vaccine or its excipients.\n\n9.2. History of severe hypersensitivity reactions to multiple injectable biologics that, in the investigator's judgment, substantially increase risk.\n\nVaccination Confounders 10.1. Receipt of live attenuated vaccines within 4 weeks before the first GYNORYLAQ-TM dose or planned receipt of live vaccines during protocol-defined at-risk periods (e.g., within 4 weeks after last vaccine dose).\n\n10.2. Receipt of non-live vaccines within 7 days prior to GYNORYLAQ-TM vaccination that, in the investigator's judgment, could substantially confound immunologic readouts (standard seasonal inactivated influenza and COVID-19 vaccines may be allowed per protocol).\n\nPregnancy and Breastfeeding 11.1. Known ongoing pregnancy at screening or baseline. 11.2. Breastfeeding participants, if the investigator believes there may be potential risk to the infant and interruption of breastfeeding is not acceptable to the participant.\n\nCompliance and Investigator Judgment 12.1. Any psychiatric, cognitive, social, or substance abuse condition that, in the investigator's opinion, would interfere with study compliance or the ability to follow protocol requirements.\n\n12.2. Any other serious medical or non-medical condition which, in the opinion of the investigator and/or Dr Emmanouelides Christos, would place the participant at undue risk, compromise data integrity, or make them unsuitable for the trial.\n\n\\-"}, 'identificationModule': {'nctId': 'NCT07316361', 'acronym': 'GYNORYLAQ™', 'briefTitle': 'GYNORYLAQ™-VLINIVAL™: Ψ-Guided Personalized Neoantigen Peptide Vaccine for High-Risk Endometrial Cancer', 'organization': {'class': 'INDUSTRY', 'fullName': 'Biogenea Pharmaceuticals Ltd.'}, 'officialTitle': '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', 'orgStudyIdInfo': {'id': 'BiogeneaTMMyVaccine4'}, 'secondaryIdInfos': [{'id': 'MyVaccine4GYNORYLAQ™', 'type': 'OTHER', 'domain': 'Myoncotherapy™ by Biogenea™ Pharmaceuticals Ltd'}]}, 'armsInterventionsModule': {'armGroups': [{'type': 'EXPERIMENTAL', 'label': 'GYNORYLAQ-TM Vaccine With Concomitant Oncologist-Selected Drug Therapy', 'description': 'All participants receive:\n\n* GYNORYLAQ-TM personalized neoantigenic peptide vaccine according to the Early Phase I vaccination schedule, and\n* Concomitant systemic and supportive drug regimens selected and prescribed by Dr Emmanouelides Christos, based on tumour characteristics, prior treatments, tolerability, and standard-of-care guidelines.\n\nOnly GYNORYLAQ-TM is investigational; all concomitant medications are standard practice and non-investigational.', 'interventionNames': ['Biological: • Biological: GYNORYLAQ-TM Personalized Neoantigenic Peptide Vaccine']}], 'interventions': [{'name': '• Biological: GYNORYLAQ-TM Personalized Neoantigenic Peptide Vaccine', 'type': 'BIOLOGICAL', 'description': '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.', 'armGroupLabels': ['GYNORYLAQ-TM Vaccine With Concomitant Oncologist-Selected Drug Therapy']}]}, 'contactsLocationsModule': {'locations': [{'zip': '54622', 'city': 'Thessaloniki', 'state': 'Thessaloniki', 'country': 'Greece', 'facility': 'Biogenea Pharmaceuticals Ltd & Interbalkan Medical Center - International Oncology Center', 'geoPoint': {'lat': 40.64072, 'lon': 22.93493}}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO', 'description': 'Individual participant data (IPD) will not be shared because the GYNORYLAQ-TM platform and its underlying quantum-classical neoantigen selection methods are the subject of an ongoing patent application. Data sharing will be reconsidered after the patent process is complete and the associated intellectual property protections are clarified.'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Biogenea Pharmaceuticals Ltd.', 'class': 'INDUSTRY'}, 'responsibleParty': {'type': 'SPONSOR'}}}}