Clinical trial · Observational
Tailoring Treatment in Colorectal Cancer
Pilot Study for Ex Vivo Tailoring of Treatment in Colorectal Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Colorectal Neoplasms | Colorectal Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Tumor tissue sampling for organoid development | Procedure | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Primary resectable colon and rectal cancer
- description
- Patients with primary resectable, localized colon and rectal cancer eligible for blood and tissue sampling for organoid development.
- interventionNames
- Procedure: Tumor tissue sampling for organoid development
Primary outcomes (3)
- measure
- Clinical logistics pipeline for patient-derived organoid development success rate
- timeFrame
- March 2022 until March 2023
- description
- 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).
- measure
- Sensitivity report for chemotherapy and cellular immunotherapy by clinical evaluation
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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.
References
Publications (9)
- BACKGROUNDVeninga 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. PMID 34416168
- BACKGROUNDBruun 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. PMID 32299813
- BACKGROUNDTeijeira 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. PMID 35154495
- BACKGROUNDYong 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. PMID 28003642
- BACKGROUNDCaulier 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. PMID 33919245
- BACKGROUNDDillard 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. PMID 32487146
- BACKGROUNDKoksal 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.