Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Curesponse Ltd. | UNKNOWN |
Not provided
Not provided
Not provided
Not provided
The primary objective of this study is to determine how sensitive and specific the Curesponse Ex Vivo Organ Culture (EVOC) model is at predicting a patient's clinical response to a specific cancer therapy.
248 patients from participating UK hospitals will have a biopsy for the development of an Ex-vivo organ culture at the Curesponse Laboratory. Patients will have standard of care anticancer therapy after the biopsy and be followed up for 6 months following their biopsy.
The combined results of the study will show whether the EVOC has potential to be useful for future patients prospectively in determining whether a certain clinical treatment is likely to benefit them.
This is a A Phase II multi-centre prediction study of the Curesponse Ex Vivo Organ Culture (EVOC) model in patients with suspected or confirmed advanced or metastatic malignancy.
Patients with suspected or confirmed, advanced or metastatic malignancy in whom at least 1 site is amenable for biopsy, and who would be planned to receive systemic anti-cancer therapy, where disease response can be measured by conventional imaging methods will be recruited for this study.
Patients will undergo a research biopsy where up to 6 tissue samples will be collected. Patients will also have the option to provide an additional single blood sample for germline genetic testing. Patients will then attend their hospital clinical to receive standard of care anticancer therapy as discussed with their oncologist.
Concurrently to the patients treatment, the tissue samples will be transported to the Curesponse laboratory for the development of the EVOC. The EVOC will be treated with a range of anticancer therapies, including the same treatment that the patient will be receiving in clinic. The model will predict whether the cancer will respond to the therapy. Additionally, providing the patient consents, the tissue will also undergo tumour gene profiling related to the secondary and exploratory endpoints and objectives.
Not provided
Not provided
Not provided
Not provided
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| The EVOC to demonstrate a sensitivity and specificity of at least 70% for predicting a patients clinical response to a specific anti-cancer therapy | Comparison of patient's treatment clinical to the EVOC treated with the same therapy. | From biopsy to the end of the patient's final imaging response assessment at Follow up 3. |
| Assessment of tumour heterogeneity in relation to treatment response using the EVOC model | Tumour gene profiling on tissue samples obtained at the biopsy | During the biopsy |
| Assess variability in cell populations within the EVOC before and after treatment. | FACS and other methods of analysis to analyse the changes in cell population of the EVOC. | From pre-treatment of EVOC up to the end of treatment on the EVOC model. |
| Evaluation and characterisation of viable and resistant cancer cells in the EVOC following treatment and assessment of their response to other therapeutic agents. | Following treatment of EVOC, viable/resistant cancer cells to be extracted and harvested, to be further grown for further treatment response assessments in the laboratory. | End of treatment on EVOC model. |
| Measure | Description | Time Frame |
|---|---|---|
| Comparison of the clinical utility of the EVOC compared to other predictions of response via additional technologies for cancer treatment. | Assessed by genomic profiling where relevant, and the comparison of tumour gene profiling to germline genetic testing. | Biopsy up to end of treatment of EVOC. |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Patients with suspected or confirmed, advanced or metastatic malignancy in whom at least 1 site is amenable for biopsy, and who would be planned to receive systemic anti-cancer therapy, where disease response can be measured by conventional imaging methods.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ayushi J Pabari | Contact | +44 (0)20 3313 0684 | a.pabari@imperial.ac.uk |
| Name | Affiliation | Role |
|---|---|---|
| Jonathan Krell, Dr | Imperial College London | Principal Investigator |
Not provided
| Type | Date | Date Unknown |
|---|---|---|
| Release | May 1, 2026 | |
| Unrelease | May 5, 2026 |
Not provided
Not provided
| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| May 1, 2026 | May 5, 2026 |
| ID | Term |
|---|---|
| D009362 | Neoplasm Metastasis |
| ID | Term |
|---|---|
| D009385 | Neoplastic Processes |
| D009369 | Neoplasms |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
Not provided
Not provided
Not provided
Not provided
Not provided