NCT03300102

Brief Summary

In England, more than three hundred thousand people are diagnosed with cancer each year. The diagnostic and treatment pathways for multiple cancers have greatly developed over the past decade. However, novel treatments are expensive and currently discrimination between responders and non-responders is still suboptimal. There is a pressing need to develop tools that allow for better disease characterisation and stratification. Personalised medicine, whereby prevention, diagnosis, and treatment of diseases is aimed at the individual level, is a growing field. Predicting patient-specific treatment response is challenging as response depends not only on the characteristics of cancer cells but also on how these cells interact with their immediate surrounding environment and on how the tumour interacts with the host. A simplistic model is therefore insufficient to predict treatment response. Complex, patient-derived animal models have been used to this effect but are expensive, may take up to 6 months to provide clinically relevant answers, and pose ethical issues. In the past in vitro models lacked complexity as they were based solely on the two-dimensional (2D) growth of cancer cells. Nowadays the use of 3D tumour models has provided an extra level of complexity to in vitro studies. With these models it is possible to recreate tumour characteristics that were lost in 2D, such as cell-cell interaction between cancer cells and between cancer and stromal cells, cell-matrix interaction, or hypoxia. The investigators have developed a 3D complex tumour model - named tumouroid. Using this model, preliminary work has been undertaken which allows the growth of patient-derived tumouroids using primary cancer cells from patients. This personalised platform can be challenged by therapeutics used in clinical practice and response to treatment can be assessed via appropriate assays. The study goals are twofold: To assess patient acceptability to the use of patient derived tumour models for future decision-making, and To assess the feasibility of generating patient derived renal cancer tumouroids and using them as platforms to test drug response.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
19

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jan 2018

Shorter than P25 for all trials

Geographic Reach
1 country

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 12, 2017

Completed
3 months until next milestone

First Posted

Study publicly available on registry

October 3, 2017

Completed
3 months until next milestone

Study Start

First participant enrolled

January 10, 2018

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2018

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2018

Completed
Last Updated

January 24, 2019

Status Verified

January 1, 2019

Enrollment Period

7 months

First QC Date

July 12, 2017

Last Update Submit

January 22, 2019

Conditions

Keywords

personalised medicine

Outcome Measures

Primary Outcomes (1)

  • Acceptability

    Measured using a Likert scale non-validated structured questionnaire and/or complete a semi structured interview.

    Up to 10 weeks after consent

Secondary Outcomes (7)

  • Feasibility : Number of tumour tissue samples collected

    Up to 10 weeks after consent

  • Feasibility : Gross morphology, weight and size of each sample

    Up to 10 weeks after consent

  • Feasibility : Cell count after isolation

    Up to 10 weeks after consent

  • Feasibility: Cell growth method and time

    10 days after tumouroid establishment

  • Feasibility: Drug concentrations tested

    On day 10 after tumouroid establishment

  • +2 more secondary outcomes

Study Arms (1)

Patients with suspected or confirmed renal cell carcinoma

Patients with suspected or confirmed renal cell carcinoma who have consented will either donate tissue, or complete a structured questionnaire or a semi-structured interview. Not all patients will have all three interventions, each patient must have at least one.

Other: Questionnaires, interviews and or tissue donation

Interventions

Subjects will be asked to complete either structured questionnaires, semi-structured interviews or donate tissue. There will be some overlap, but each subject does not have to do all three interventions.

Patients with suspected or confirmed renal cell carcinoma

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Male or female patients aged 18 or over, sufficient command of English language to complete consent forms and questionnaires, suspected or confirmed renal cell carcinoma.

You may qualify if:

  • Adult patients (≥18 years old), of either gender, able to provide consent;
  • Suspected or confirmed renal cell carcinoma;
  • Signed informed consent by patient

You may not qualify if:

  • Non-English speaker;
  • Inability to provide informed consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Surgical & Interventional Trials Unit

London, NW12BX, United Kingdom

Location

Royal Free Hospital

London, NW3 2QG, United Kingdom

Location

Related Publications (1)

  • Tran MGB, Neves JB, Stamati K, Redondo P, Cope A, Brew-Graves C, Williams NR, Grierson J, Cheema U, Loizidou M, Emberton M. Acceptability and feasibility study of patient-specific 'tumouroids' as personalised treatment screening tools: Protocol for prospective tissue and data collection of participants with confirmed or suspected renal cell carcinoma. Int J Surg Protoc. 2019 Apr 2;14:24-29. doi: 10.1016/j.isjp.2019.03.019. eCollection 2019.

MeSH Terms

Conditions

Neoplasms

Interventions

Surveys and QuestionnairesInterviews as TopicTissue and Organ Procurement

Intervention Hierarchy (Ancestors)

Data CollectionEpidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationPublic HealthEnvironment and Public HealthHealth ServicesHealth Care Facilities Workforce and Services

Study Officials

  • Mark Emberton

    Professor of Interventional Oncology, UCL

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 12, 2017

First Posted

October 3, 2017

Study Start

January 10, 2018

Primary Completion

August 1, 2018

Study Completion

December 31, 2018

Last Updated

January 24, 2019

Record last verified: 2019-01

Locations