AImmune - Artificial Intelligence Algorithm for Identification of Immunogenic Neoepitopes of Cancer to Predict and Boost Patient's Response to Immunotherapies.

August 7, 2020 updated by: Ardigen

Development of AImmune Technology as a Bioinformatic Component of Diagnostic Tests Used in Cancer Immunotherapy

The goal of the project is to develop and validate A.I.mmune technology. It performs complex analyses of patients' tumor and immune system state using data derived from next-generation sequencing of tumor and healthy tissue to identify cancer neoantigens, which are likely to elicit an immune response.

A key challenge to be solved using the technology is to predict for each patient which neoepitopes are not only likely to bind to HLA or be presented on the tumor cell surface, but also will be recognized by the T-cell receptor and create the immunogenic response. The presence of such epitopes is required for immunotherapy by immune checkpoint inhibition to have an effect on the disease. Knowledge of those epitopes enables therapeutic strategies to boost the immune response by designing personalized cancer vaccines and adoptive cell therapies.

The samples and data collected in this clinical study will be used for clinical validation of A.I.mmune technology. For all patients treated with immunotherapy (using anti-PD1 / anti-PDL1 and / or anti-CTLA-4 antibodies) peripheral blood samples (PBMC) and biopsy (FFPE) collection will be performed before treatment. Samples will be sequenced by next-generation sequencing platform. In parallel, the investigators will also collect samples of stool (one sample before the start of immunotherapy) and follow-up information of responses to treatment.

Study Overview

Study Type

Observational

Enrollment (Anticipated)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Gdańsk, Poland
        • Recruiting
        • University Clinical Centre in Gdansk

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients receiving routine treatment.

Description

Inclusion Criteria:

  • Men or women ≥18 years of age.
  • Patients with non-small cell lung cancer.
  • Patients with informed consent to participate in the study.
  • Patients receiving routine treatment (immunotherapy using anti-PD1 / anti-PDL1 and / or anti CTLA4 antibodies), financed by the Polish National Health Fund (NFZ).
  • The applied immunotherapy should be the first or second line of treatment.

Exclusion Criteria:

  • Patients who are unable to understand, read and / or sign informed consent.
  • Patients who can not collect stools.
  • Patients with fecal transplant.
  • The applied immunotherapy is not the first or second line of treatment.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
NSCLC
This cohort will consist of 30 patients with non-small cell lung cancer (NSCLC).
Patients receiving routine treatment (immunotherapy using anti-PD1 / anti-PDL1 and / or anti CTLA4 antibodies), financed by the Polish National Health Fund (NFZ).
Other Names:
  • Atezolizumab
  • Nivolumab
  • Ipilimumab

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Responders and Non-responders on immunotherapy (evaluated using RECIST 1.1 criteria)
Time Frame: Up to 6 months
Standard follow-up care after cancer treatment.
Up to 6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Piotr Stepniak, Ardigen

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

June 13, 2019

Primary Completion (ANTICIPATED)

October 15, 2020

Study Completion (ANTICIPATED)

November 30, 2020

Study Registration Dates

First Submitted

October 29, 2019

First Submitted That Met QC Criteria

October 29, 2019

First Posted (ACTUAL)

October 30, 2019

Study Record Updates

Last Update Posted (ACTUAL)

August 10, 2020

Last Update Submitted That Met QC Criteria

August 7, 2020

Last Verified

August 1, 2020

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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