Pilot Study for Ex Vivo Tailoring of Treatment in Colorectal Cancer
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Colorectal Neoplasms
- Sponsor
- University Hospital, Akershus
- Enrollment
- 40
- Locations
- 1
- Primary Endpoint
- Clinical logistics pipeline for patient-derived organoid development success rate
- Status
- Recruiting
- Last Updated
- last year
Overview
Brief Summary
In this study, the investigators will establish a reliable method and logistic pipeline for personalized drug testing ex vivo using fresh tumor samples from colorectal cancer (CRC) patients. With this, the investigators aim to develop a novel predictive biomarker of immunotherapy response, by testing combinations of chemotherapies and chimeric antigen receptor (CAR) T cells. Critically, this affects a large subgroup of patients currently not considered to benefit from such treatment. To support the hypothesis, the project will make use of cutting-edge, cell-based functional diagnostics. Individual patients' cancer cells will be screened against a panel of chemotherapies and targeted therapies including CAR T cells, to assess the optimal combination of therapies to induce immunotherapy efficacy in otherwise unresponsive CRC.
Detailed Description
Primary hypothesis: Drug screening of patient-derived organoids is a feasible method to identify effective and ineffective therapies for personalized colorectal cancer treatment. Secondary hypothesis: Pre-treatment with cytotoxic agents can induce cellular immunotherapy efficacy against solid tumors in a colorectal cancer patient-derived organoid model. Primary objective: To provide methodology and competencies for a clinical trial on drug screening on patient-derived organoids as an approach in personalized cancer treatment. Secondary objective: To explore induction of cellular immunotherapy efficacy in colorectal cancer patient-derived organoids by chemotherapy or targeted agents.
Investigators
Sebastian Meltzer
Principal Investigator
University Hospital, Akershus
Eligibility Criteria
Inclusion Criteria
- •Histologically confirmed colorectal cancer scheduled for curative surgery and standard clinical follow-up.
Exclusion Criteria
- •Unable/unwilling to sign the informed consent form.
Outcomes
Primary Outcomes
Clinical logistics pipeline for patient-derived organoid development success rate
Time Frame: March 2022 until March 2023
Estimate the feasibility of the implementation of functional diagnostics in a clinical setting. Outcome 1: Inclusion of 10 patients in a study pilot. Measurement 1: Patient inclusion rate per week. Measurement 2: Capacity for organoid development at laboratory facilities (number of patients possible to include per week). Outcome 2: Development of patient-derived organoids from patient tumor samples. Measurement 1: The success rate of organoid development (numbers of organoids developed from the total amount of patients included).
Sensitivity report for chemotherapy and cellular immunotherapy by clinical evaluation
Time Frame: March 2022 until March 2025
Develop drug sensitivity report for clinical use, informing on the functional impact of anti-cancer therapies including cellular therapies ex vivo both by viability assays and real-time imaging analysis. The drug report will be developed to suit clinical use. The outcome will be measured in the clinical utility of the drug sensibility report for each patient and to what extent the report can be implemented in clinical practice for further drug selection studies. Measurement: Assessment of clinical utility by a panel of end-users, including oncologists, surgeons and patient representatives.
Induction of immunotherapy efficacy by chemotherapy in colorectal cancer, measured by advanced imaging analysis
Time Frame: May 2022 until March 2025
Outcome: Identification of chemotherapy or chemotherapy combinations with or without targeted therapies that induce immunotherapy efficacy in colorectal cancer. Measurement: By exposing patient-derived organoids to chemotherapy and targeted agents in combination with chimeric antigen receptor (CAR) T cells, the investigators will use advanced imaging and imaging analysis to assess treatment efficacy of the individual therapies and combinations.