Biomarker-based Algorithm for Diagnosis of Glioma (TELOGNOSTIC)
Development of a New Algorithm-based Classification for Glioma
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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Bron, France, 69677
- Institut de Pathologie Est, Biopathologie moléculaire, Hôpitaux Est, HCL
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patient with a diagnosis of glioma (retrospective),
- Patient with available biological material : extracted DNA and/or FFPE tissue and/or frozen sample.
- Samples are not required any more for diagnosis purpose
- Patient with informed consent
Exclusion Criteria:
- Patient with no informed consent
- Patients with no available biological sample
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Retrospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Glioma
FFPE (Formalin-Fixed Paraffin-Embedded) or frozen samples will be used for DNA extraction.
Different gliomas tumors will be used (oligodendroglioma, astrocytomas, glioblastoma)
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Biological testing of FFPE (Formalin-Fixed Paraffin-Embedded) or frozen samples of tumors will be led. These tissues have been collected during the treatment of patients (for diagnostic purposes). A molecular analysis (polymerase chain reaction) is led on DNA extracted from FFPE/frozen conserved tissues, and a result is produced by the algorithm. |
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Determination of the prognosis and diagnosis values of a new qPCR (quantitative polymerase chain reaction) -based biological testing in glioma
Time Frame: 1 year
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An algorithm will be built, based on the result of this specific biological testing combined with other markers (determined in routine clinical testing). The algorithm parameters will be set using samples with a clear diagnosis (concordant molecular and immuno-histological markers). Then gliomas with uncertain diagnosis will be classified and the global overall survival will be predicted. Biological testing will be performed during one year and the analyses in terms of disease outcome will be refreshed every year. |
1 year
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
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
Other Study ID Numbers
Other Study ID Numbers
- 69HCL18_0795
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
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