Creating an Innovative AI-based Technology TCRact for Designing and Optimizing T-cell Receptors (TCR) for Use in Cancer Immunotherapies

NCT ID: NCT04994093

Last Updated: 2024-06-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

118 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-10-06

Study Completion Date

2023-12-28

Brief Summary

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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.

Detailed Description

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Conditions

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Colon Cancer Cancer

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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COLON CANCER

This cohort will consist of 100 patients with Colon Cancer.

Collection of blood (PBMC), biopsy (FFPE) and stool samples.

Intervention Type OTHER

Patients receiving routine treatment financed by the Polish National Health Fund (NFZ).

Interventions

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Collection of blood (PBMC), biopsy (FFPE) and stool samples.

Patients receiving routine treatment financed by the Polish National Health Fund (NFZ).

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 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

Exclusion Criteria

* 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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Center for Research and Development, Poland

OTHER

Sponsor Role collaborator

Ardigen

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Maria Sklodowska-Curie National Research Institute of Oncology

Krakow, , Poland

Site Status

Countries

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Poland

References

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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.

Reference Type DERIVED
PMID: 37440307 (View on PubMed)

Other Identifiers

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POIR.01.01.01-00-0019/20

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

TCRact

Identifier Type: -

Identifier Source: org_study_id

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