- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03287063
Study Using Genomic, Histologic and Radiomic Analysis to Evaluate Regional Tumor Heterogeneity in Patients Undergoing Surgery for Newly Diagnosed Glioblastoma
October 10, 2023 updated by: University of Michigan Rogel Cancer Center
A Prospective Study Using Genomic, Histologic and Radiomic Analysis to Evaluate Regional Tumor Heterogeneity in Patients Undergoing Surgery for Newly Diagnosed Glioblastoma
Glioblastomas (GBM) demonstrate in vivo genetic and histologic heterogeneity that can be non-invasively identified using imaging phenotypes that identify regionally distinct areas of tumor with genetic alterations that drive tumor resistance pathways.
The researchers propose a unique approach to assess initial GBM heterogeneity by performing histological and genomic analysis of biopsies targeted by advanced MRI before treatment.
Study Overview
Study Type
Observational
Enrollment (Estimated)
20
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Michigan
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Ann Arbor, Michigan, United States, 48109
- University of Michigan
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Patients with glioblastoma eligible for surgical biopsy and/or resection
Description
Inclusion Criteria:
- Suspected newly diagnosed or recurrent supratentorial glioblastoma eligible for surgical biopsy and/or resection
- Patients must be 18 years of age or older
- Study-specific informed consent approved for this purpose by the IRB of the University of Michigan
Exclusion Criteria:
- Patients unable to undergo MRI
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
Identify candidate genes with differential expression in therapy-resistant imaging subvolumes
Time Frame: At time of surgery
|
At time of surgery
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Michelle Kim, M.D., University of Michigan
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
July 5, 2018
Primary Completion (Estimated)
October 1, 2024
Study Completion (Estimated)
October 1, 2024
Study Registration Dates
First Submitted
September 15, 2017
First Submitted That Met QC Criteria
September 15, 2017
First Posted (Actual)
September 19, 2017
Study Record Updates
Last Update Posted (Actual)
October 11, 2023
Last Update Submitted That Met QC Criteria
October 10, 2023
Last Verified
October 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- UMCC 2017.094
- HUM00134165 (Other Identifier: University of Michigan)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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