Validation of a Personalised Medicine Tool for Multiple Myeloma That Predicts Treatment Effectiveness in Patients (MMpredict)
The consortium aims to commercialise the MMpredictor as a personalised medicine tool that predicts the most effective treatment strategy for individual Multiple Myeloma (MM) patients. MM is the second most common form of blood cancer contributing to 15% of all blood cancers and ~1,5% and 2% of all cancer deaths annually in the EU and US, respectively.
Patients show a large variability in treatment response and side effects due to tumour heterogeneity and the patient's intrinsic characteristics. Therefore, not every treatment will be suitable for each patient, and treatment strategies are often based on trial-and-error. The availability of multiple (>20) treatment options complicates treatment decision-making even more. With the current development of many more promising treatments, there is an urgent unmet clinical need for a diagnostic assay that supports personalised cancer treatment in order to improve patient health outcomes, prevent side effects and reduce healthcare costs.
SkylineDx has previously developed the MMprofiler, a microarray-based diagnostic test that can subtype MM patients and reliably predict MM patient survival (prognosis). In this project, the test's clinical value will be expanded to include the prediction of treatment effectiveness in individual patients based on Gene Expression Profiling. An addendum for new intended use will be filed to the current in vitro diagnostic (IVD) registration, while renaming the test to MMpredictor. The project will also focus on positioning the test as a cost-effective IVD test for personalised medicine, that will increase health outcome and quality of life of patients and reduce healthcare costs.
The consortium consists of a life science SME specialised in molecular diagnostics, clinical centres with world renowned KOLs, a leading health economic institute, and a European MM patient advocacy organisation combining all the required complementary expertise to successfully bring the MMpredictor to market.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Turin, Italy, 10125
- University of Turin
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- The bio-banked MM patient samples and clinical data will be obtained from previous European clinical trials that have been conducted over the past 5 years within the participating clinical centres and other clinical centers. The samples were not collected for the purposes of this project. The subjects from which the data was initially taken cannot be identified from the data/records. However, the patients from the above mentioned trial have explicitly consented for the use of their samples for other (future) clinical research purposes.
Exclusion Criteria:
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Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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MMpredictor as a personalised medicine tool
Time Frame: 1 year
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The main objective of the MMpredict project is to commercialise the MMpredictor as a personalised medicine tool that predicts the most effective treatment strategy for individual Multiple Myeloma (MM) patients.
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1 year
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
- Genetic subtyping with the MMprofiler of 800 bio-banked MM patient samples
Time Frame: 2 years
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2 years
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- Clinical validation of genetic subtypes correlating with specific treatment effect
Time Frame: 2 years
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2 years
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- Establish a treatment decision matrix that will guide physicians in treatment decision-making
Time Frame: 2 years
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2 years
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- Perform a Medical Technology Assessment (MTA) to evaluate health economic benefits
Time Frame: 2 years
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2 years
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- File addendum to current CE-IVD registration, while also renaming the test to "MMpredictor"
Time Frame: 2 years
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2 years
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- Develop and execute commercialisation and marketing plan for the MMpredictor
Time Frame: 2 years
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2 years
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Cardiovascular Diseases
- Vascular Diseases
- Immune System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Lymphoproliferative Disorders
- Immunoproliferative Disorders
- Hematologic Diseases
- Hemorrhagic Disorders
- Hemostatic Disorders
- Paraproteinemias
- Blood Protein Disorders
- Multiple Myeloma
- Neoplasms, Plasma Cell
Other Study ID Numbers
Other Study ID Numbers
- Horizon2020 - FTI Pilot Study
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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