- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05401318
Tailoring Treatment in Colorectal Cancer (TargetCRC)
Pilot Study for Ex Vivo Tailoring of Treatment in Colorectal Cancer
Study Overview
Status
Conditions
Intervention / Treatment
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.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Sebastian Meltzer, M.D. Ph.D.
- Phone Number: +4767960000
- Email: sebastian.meltzer@medisin.uio.no
Study Locations
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Viken
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Lørenskog, Viken, Norway, 1478
- Recruiting
- Akershus University Hospital
-
Contact:
- Sebastian Meltzer
- Phone Number: 93608514
- Email: sebastian.meltzer@medisin.uio.no
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Primary resectable colon and rectal cancer
Patients with primary resectable, localized colon and rectal cancer eligible for blood and tissue sampling for organoid development.
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Fresh tissue from colorectal tumors will be sampled and cultivated in 3D cultures for drug testing.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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). |
March 2022 until March 2023
|
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Sensitivity report for chemotherapy and cellular immunotherapy by clinical evaluation
Time Frame: March 2022 until March 2025
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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.
|
March 2022 until March 2025
|
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Induction of immunotherapy efficacy by chemotherapy in colorectal cancer, measured by advanced imaging analysis
Time Frame: May 2022 until March 2025
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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.
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May 2022 until March 2025
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Sebastian Meltzer, M.D., Ph.D., University Hospital, Akershus
Publications and helpful links
General Publications
- Veninga V, Voest EE. Tumor organoids: Opportunities and challenges to guide precision medicine. Cancer Cell. 2021 Sep 13;39(9):1190-1201. doi: 10.1016/j.ccell.2021.07.020. Epub 2021 Aug 19.
- Bruun J, Kryeziu K, Eide PW, Moosavi SH, Eilertsen IA, Langerud J, Rosok B, Totland MZ, Brunsell TH, Pellinen T, Saarela J, Bergsland CH, Palmer HG, Brudvik KW, Guren T, Dienstmann R, Guren MG, Nesbakken A, Bjornbeth BA, Sveen A, Lothe RA. Patient-Derived Organoids from Multiple Colorectal Cancer Liver Metastases Reveal Moderate Intra-patient Pharmacotranscriptomic Heterogeneity. Clin Cancer Res. 2020 Aug 1;26(15):4107-4119. doi: 10.1158/1078-0432.CCR-19-3637. Epub 2020 Apr 16.
- Teijeira A, Migueliz I, Garasa S, Karanikas V, Luri C, Cirella A, Olivera I, Canamero M, Alvarez M, Ochoa MC, Rouzaut A, Rodriguez-Ruiz ME, Sanmamed MF, Klein C, Umana P, Ponz M, Bacac M, Melero I. Three-dimensional colon cancer organoids model the response to CEA-CD3 T-cell engagers. Theranostics. 2022 Jan 1;12(3):1373-1387. doi: 10.7150/thno.63359. eCollection 2022.
- Yong CSM, Dardalhon V, Devaud C, Taylor N, Darcy PK, Kershaw MH. CAR T-cell therapy of solid tumors. Immunol Cell Biol. 2017 Apr;95(4):356-363. doi: 10.1038/icb.2016.128. Epub 2016 Dec 22.
- Caulier B, Enserink JM, Walchli S. Pharmacologic Control of CAR T Cells. Int J Mol Sci. 2021 Apr 21;22(9):4320. doi: 10.3390/ijms22094320.
- Dillard P, Lie M, Baken E, Lobert VH, Benard E, Koksal H, Inderberg EM, Walchli S. Colorectal cysts as a validating tool for CAR therapy. BMC Biotechnol. 2020 Jun 1;20(1):30. doi: 10.1186/s12896-020-00623-0.
- Koksal H, Baken E, Warren DJ, Loset GA, Inderberg EM, Walchli S. Chimeric antigen receptor preparation from hybridoma to T-cell expression. Antib Ther. 2019 May 31;2(2):56-63. doi: 10.1093/abt/tbz007. eCollection 2019 Apr.
- Koksal H, Dillard P, Josefsson SE, Maggadottir SM, Pollmann S, Fane A, Blaker YN, Beiske K, Huse K, Kolstad A, Holte H, Kvalheim G, Smeland EB, Myklebust JH, Inderberg EM, Walchli S. Preclinical development of CD37CAR T-cell therapy for treatment of B-cell lymphoma. Blood Adv. 2019 Apr 23;3(8):1230-1243. doi: 10.1182/bloodadvances.2018029678.
- Yang D, Wang X, Zhou X, Zhao J, Yang H, Wang S, Morse MA, Wu J, Yuan Y, Li S, Hobeika A, Lyerly HK, Ren J. Blood microbiota diversity determines response of advanced colorectal cancer to chemotherapy combined with adoptive T cell immunotherapy. Oncoimmunology. 2021 Sep 27;10(1):1976953. doi: 10.1080/2162402X.2021.1976953. eCollection 2021.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 350208 (REK)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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