Clinical trial · Interventional
Quadratic Phenotypic Optimisation Platform (QPOP) Utilisation to Enhance Selection of Patient Therapy Through Patient Derived Organoids in Breast 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)
Based on proof-of-concept study, the investigators hypothesise that the QPOP prediction model can be further extended into use in solid tumors. Using breast cancer as a model, the investigators intend to investigate the feasibility of QPOP as a clinical decision support platform to identify patient-specific drug combinations across a range of breast cancer patients. The investigators propose a pilot phase I clinical study to test the feasibility of using QPOP to guide therapy in patients with advanced breast cancer.
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 |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| QPOP | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- QPOP-based drug screen assay using patient tumour-derived organoids
- description
- Patients with Histological confirmed breast carcinoma of any subtype (any estrogen receptor, progesterone receptor and HER2 receptor status) with at least 1 tumour lesion (primary or metastatic) amendable to fresh biopsy and measurable based on RECIST 1.1 criteria will undergo biopsy to obtain a sample of cancer tissue that will be used to generate Patient Derived Organoids (PDOs). Patients' cells will be subjected to testing with 10-12 anti-cancer drugs and a table for treatment sensitivity to each drug will be derived after 8 to 12 weeks of treatment in the laboratory. Results will be reviewed at an expert panel discussion to decide on the most suitable anti-cancer drug treatment
- interventionNames
- Device: QPOP
Primary outcomes (1)
- measure
- Objective response rate measured by RECIST 1.1 criteria to anti-cancer therapy selected by QPOP (prospective analysis).
- timeFrame
- 3 years
Secondary outcomes (4)
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 21 Years
- Maximum age
- 99 Years
Show eligibility criteria text
Part A - Inclusion and exclusion criteria to be fulfilled both prior to study enrolment and prior to commencement of study drug Inclusion Criteria: * Age \>= 21 years. * Histological confirmed breast carcinoma of any subtype (any estrogen receptor, progesterone receptor and HER2 receptor status) * ECOG 0-1. * At least 1 tumour lesion (primary or metastatic) amenable to fresh biopsy * At least 1 measurable tumour lesions based on RECIST 1.1 criteria * Estimated life expectancy of at least 12 weeks. * Has documented progressive disease from last line of therapy. * Has received at least 1 line of palliative systemic therapy * Expected adequate organ function (bone marrow, hepatic, renal) after recovering from treatment-induced acute toxicities at the time of study treatment. * Signed informed consent from patient or legal representative. * Able to comply with study-related procedures. Exclusion Criteria: Patients will be excluded from the study for any of the following reasons: * Pregnancy. * Breast feeding. * Serious concomitant disorders that would compromise the safety of the patient or compromise the patient's ability to complete the study, at the discretion of the investigator. * Active bleeding disorder or bleeding site. * Second primary malignancy that is clinically detectable at the time of consideration for study enrollment. * History of significant neurological or mental disorder, including seizures or dementia. Part B - Additional inclusion and exclusion criteria to be fulfilled prior to commencement of study drug Inclusion criteria Patients may be included in the study only if they meet all of the following criteria: • Adequate organ function including the following: Bone marrow: * Absolute neutrophil (segmented and bands) count (ANC) \>= 1.5 x 109/L * Platelets \>= 100 x 109/L * Hemoglobin \>= 8 x 109/L Hepatic: * Bilirubin \<= 1.5 x upper limit of normal (ULN), * ALT or AST \<= 2.5x ULN, (or \<=5 X with liver metastases) Renal: \- Creatinine \<= 1.5x ULN Exclusion criteria Patients will be excluded from the study for any of the following reasons: * Treatment within the last 30 days with any investigational drug. * Concurrent administration of any other tumour therapy, including cytotoxic chemotherapy, hormonal therapy, and immunotherapy at time of commencement of study drug. * Major surgery within 28 days of study drug administration. * Active infection that in the opinion of the investigator would compromise the patient's ability to tolerate therapy. * Non-healing wound. * Poorly controlled diabetes mellitus. * Symptomatic brain metastasis. * Contraindication to receiving specific QPOP-directed study treatment within drug that has been recommended based on QPOP analyses (e.g., poorly controlled diabetes mellitus for alpelisib, left ventricular ejection fraction of \<50% for trastuzumab-emtansine) * Received more than 2 lines of empirical therapy between tumor biopsy for organoids growth and commencement on QPOP-directed study treatment (including endocrine therapy, chemotherapy, targeted therapy or immunotherapy) * Biopsy for organoids growth performed more than 12 months from time of study drug commencement * Has not recovered from acute toxicities from prior anti-cancer therapy
References
Publications (11)
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- RESULTFong ELS, Toh TB, Yu H, Chow EK. 3D Culture as a Clinically Relevant Model for Personalized Medicine. SLAS Technol. 2017 Jun;22(3):245-253. doi: 10.1177/2472630317697251. Epub 2017 Mar 9. PMID 28277923
- RESULTGillet JP, Varma S, Gottesman MM. The clinical relevance of cancer cell lines. J Natl Cancer Inst. 2013 Apr 3;105(7):452-8. doi: 10.1093/jnci/djt007. Epub 2013 Feb 21. PMID 23434901
- RESULTLedford H. US cancer institute to overhaul tumour cell lines. Nature. 2016 Feb 25;530(7591):391. doi: 10.1038/nature.2016.19364. No abstract available. PMID 26911756
- RESULTVirtanen C, Ishikawa Y, Honjoh D, Kimura M, Shimane M, Miyoshi T, Nomura H, Jones MH. Integrated classification of lung tumors and cell lines by expression profiling. Proc Natl Acad Sci U S A. 2002 Sep 17;99(19):12357-62. doi: 10.1073/pnas.192240599. Epub 2002 Sep 6. PMID 12218176
- RESULTGoodspeed A, Heiser LM, Gray JW, Costello JC. Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics. Mol Cancer Res. 2016 Jan;14(1):3-13. doi: 10.1158/1541-7786.MCR-15-0189. Epub 2015 Aug 6. PMID 26248648
- RESULTSachs N, de Ligt J, Kopper O, Gogola E, Bounova G, Weeber F, Balgobind AV, Wind K, Gracanin A, Begthel H, Korving J, van Boxtel R, Duarte AA, Lelieveld D, van Hoeck A, Ernst RF, Blokzijl F, Nijman IJ, Hoogstraat M, van de Ven M, Egan DA, Zinzalla V, Moll J, Boj SF, Voest EE, Wessels L, van Diest PJ, Rottenberg S, Vries RGJ, Cuppen E, Clevers H. A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity. Cell. 2018 Jan 11;172(1-2):373-386.e10. doi: 10.1016/j.cell.2017.11.010. Epub 2017 Dec 7.