Creating an Innovative AI-based Technology TCRact for Designing and Optimizing T-cell Receptors (TCR) for Use in Cancer Immunotherapies
2 other identifiers
observational
118
1 country
1
Brief Summary
The PROJECT OBJECTIVE is to create an innovative AI-based (Artificial Intelligence) IN SILICO TECHNOLOGY for the design and optimization of T-cell receptors (TCRs) capable of recognizing specific tumor antigens presented on Human Leukocyte Antigen (HLA). The technology will be based on bioinformatics (including molecular modelling) and artificial intelligence (including predictive, generative and optimization models). PROJECT TASKS are dedicated to the implementation of individual technological components (including the database necessary for their preparation) and to performing IN VITRO evaluation rounds to optimize the technology. Integration, within an IN SILICO TECHNOLOGY, of processes which currently require huge amounts of in vitro laboratory experiments that are necessary for bringing new TCR-based cancer immunotherapies into clinical trials:
- finding appropriate TCRs targeting cancer neoantigen presented on a HLA molecule (pHLA)
- testing for potential TCR toxicity (targeting self antigens presented on healthy tissues)
- optimization of pHLA:TCR binding affinity and toxicity.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Oct 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 29, 2021
CompletedFirst Posted
Study publicly available on registry
August 6, 2021
CompletedStudy Start
First participant enrolled
October 6, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 5, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
December 28, 2023
CompletedJune 26, 2024
June 1, 2024
1.2 years
July 29, 2021
June 25, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Finding appropriate TCRs targeting cancer neoantigen presented on a HLA molecule (pHLA)
Inclusion
Testing for potential TCR toxicity (targeting self antigens presented on healthy tissues)
Inclusion
Optimization of pHLA:TCR binding affinity and toxicity
Inclusion
Study Arms (1)
COLON CANCER
This cohort will consist of 100 patients with Colon Cancer.
Interventions
Patients receiving routine treatment financed by the Polish National Health Fund (NFZ).
Eligibility Criteria
Patients receiving routine treatment.
You may qualify if:
- Clinical diagnosis of advanced resectable colorectal cancer (Active stage II, III or IV)
- Histopathologically confirmed as adenocarcinoma
- Age 18 or over
- Being able to understand and sign the Informed Consent Form (ICF)
- Qualification for resection within 3 months from W0 or condition after primary tumor resection, not longer than 5 years from surgery
You may not qualify if:
- Mucinous colorectal adenocarcinoma
- Canal and anal edge cancer,
- Adenocarcinoma of the appendix,
- Patients treated with neoadjuvant therapy or radiation therapy in the 3 months prior to study enrollment.
- Patients treated with systemic chemotherapy in the 3 months prior to study enrollment.
- Histopathological diagnosis other than adenocarcinoma
- Remission
- History of inflammatory bowel diseases
- Pregnancy
- HIV infection
- Active infection with hepatitis B and C viruses
- Leukocytopenia
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Ardigenlead
- National Center for Research and Development, Polandcollaborator
Study Sites (1)
Maria Sklodowska-Curie National Research Institute of Oncology
Krakow, Poland
Related Publications (1)
Bujak J, Klek S, Balawejder M, Kociniak A, Wilkus K, Szatanek R, Orzeszko Z, Welanyk J, Torbicz G, Jeckowski M, Kucharczyk T, Wohadlo L, Borys M, Stadnik H, Wysocki M, Kayser M, Slomka ME, Kosmowska A, Horbacka K, Gach T, Markowska B, Kowalczyk T, Karon J, Karczewski M, Szura M, Sanecka-Duin A, Blum A. Creating an Innovative Artificial Intelligence-Based Technology (TCRact) for Designing and Optimizing T Cell Receptors for Use in Cancer Immunotherapies: Protocol for an Observational Trial. JMIR Res Protoc. 2023 Jul 13;12:e45872. doi: 10.2196/45872.
PMID: 37440307DERIVED
Biospecimen
stool, biopsy (FFPE) and peripheral blood samples (PBMC)
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 29, 2021
First Posted
August 6, 2021
Study Start
October 6, 2021
Primary Completion
December 5, 2022
Study Completion
December 28, 2023
Last Updated
June 26, 2024
Record last verified: 2024-06