Biomarker-based Algorithm for Diagnosis of Glioma
TELOGNOSTIC
Development of a New Algorithm-based Classification for Glioma
1 other identifier
observational
300
1 country
1
Brief Summary
ATRX (X-linked mental retardation and alpha-thalassaemia syndrome protein) loss and pTERT (Telomerase reverse transcriptase) mutation are diagnostic markers of gliomas. However, 4 to 28% of gliomas shows none of these alterations. The aim of this project is to propose a new test able to detect the telomeric status for every glioma. Based on this test and other markers (such as mutation of IDH1 (isocitrate dehydrogenase 1) and IDH2 (isocitrate dehydrogenase 2)), investigators propose an algorithm, able to classify the main subtypes of gliomas (astrocytoma, oligodendroglioma and glioblastoma).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2018
Typical duration for all trials
1 active site
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
Study Start
First participant enrolled
December 1, 2018
CompletedFirst Submitted
Initial submission to the registry
December 9, 2019
CompletedFirst Posted
Study publicly available on registry
December 11, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2021
CompletedDecember 11, 2019
December 1, 2019
1.2 years
December 9, 2019
December 9, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
Determination of the prognosis and diagnosis values of a new qPCR (quantitative polymerase chain reaction) -based biological testing in glioma
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
Study Arms (1)
Glioma
FFPE (Formalin-Fixed Paraffin-Embedded) or frozen samples will be used for DNA extraction. Different gliomas tumors will be used (oligodendroglioma, astrocytomas, glioblastoma)
Interventions
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.
Eligibility Criteria
300 samples of gliomas (FFPE and/or frozen tissues)
You may qualify if:
- 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
You may not qualify if:
- Patient with no informed consent
- Patients with no available biological sample
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Institut de Pathologie Est, Biopathologie moléculaire, Hôpitaux Est, HCL
Bron, 69677, France
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 9, 2019
First Posted
December 11, 2019
Study Start
December 1, 2018
Primary Completion
March 1, 2020
Study Completion
March 1, 2021
Last Updated
December 11, 2019
Record last verified: 2019-12
Data Sharing
- IPD Sharing
- Will not share