Gliomas are a heterogeneous group of tumors arising from glial cells in the central nervous system and are associated with poor prognosis and significant morbidity. The most aggressive form, glioblastoma multiforme (GBM), remains particularly challenging to treat, often exhibiting resistance to conventional therapies such as chemotherapy and radiation. The average survival for patients with GBM is approximately 15 months, underscoring the urgent need for novel therapeutic strategies that can improve outcomes. Malignant gliomas are the most common primary brain cancer diagnosed and still carry a poor prognosis despite aggressive multimodal management. Despite the continued advances in immunotherapy for other cancer types, however, there remain no FDA approved immunotherapies for cancers such as glioblastoma. Neoantigen vaccines are a form of immunotherapy involving the use of DNA, mRNA, and proteins derived from non-synonymous mutations identified in patient tumor tissue samples to stimulate tumor-specific T-cell reactivity leading to enhance tumor targeting. Up to and including the current time, we have only nascent understandings, at the molecular and submolecular level, of how immunity is generated and maintained. As a result, we do not have fundamental mechanistic understandings of vaccine:antigen interactions, of vaccine-directed and initiated routes of immunity, nor how, through adjuvants and changes in our biologic environment (such as the intestinal microbiome), we might direct such immune responses. In particular, in the field of vaccinology we have few collaborations between biology, physics, and chemistry...or what has been termed "convergence science"...but particularly from physics and the field of quantum mechanics. Biophysics led to quantum biology and quantum immunology reflecting quantum dynamics within living systems and their evolution. Unfortunately, despite the seismic influence of immunotherapy on oncology today, there remain no FDA approved immunotherapies for GBM due to the lack of efficacy observed in several randomized clinical trials. The TAMAVAQ approaches enable a quantitative understanding of immune response kinetics following neoantigen-based peptide vaccine treatment. Insights gained from challenges can be used to design better vaccines and evaluate the potential candidate vaccines in silico. The TAMAVAQ models also can guide such decisions on treatment regimens such as dosing and infusion frequencies.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
TAMAVAQ Vaccine Safety Analysis
Timeframe: From initiation of study treatment to 28 weeks post-vaccination
Incidences of Advent Events and Severe Advent Events
Timeframe: From initiation of study treatment to 28 weeks post-vaccination
Physiological Monitoring and Toxicity Analysis
Timeframe: From initiation of study treatment to 28 weeks post-vaccination
Gadolinium-enhanced MRI
Timeframe: From initiation of study treatment to 28 weeks post-vaccination
AI Techniques and Machine Learning Models for the TAMAVAQ's Safety Integration Analysis
Timeframe: From initiation of study treatment to 28 weeks post-vaccination