Observational Study of Responses to Treatments in Advanced CNS Tumors
This study is looking at a new technology called SmartMatch, which helps find the best medicines for central nervous system (CNS) tumors by testing how small pieces of tumor tissue react to different drugs. Researchers want to see if SmartMatch can complete this analysis and provide a report within 21 days after surgery. This study is for people aged 15 and older who have recurrent CNS tumors, including specific types of gliomas, and are already scheduled for a brain tumor biopsy or surgery at the NIH. The goal is to better understand these tumors to find improved treatments in the future. The study involves collecting a fresh tumor sample during your planned surgery.
- Study design
- This is an interventional study with a planned enrollment of 80 participants. The phase of the study is not specified.
- What's involved
- You would provide a fresh tumor sample for the study, which would be collected during your already planned biopsy or surgery at the NIH.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary goal is to determine if SmartMatch results can be generated within 21 days from tumor tissue acquisition.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Observational Study of Responses to Treatments in Advanced Central Nervous System (CNS) Tumors
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Jing Wu, M.D. · PRINCIPAL_INVESTIGATOR · National Cancer Institute (NCI)
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- To determine the proportion of participants with advanced CNS tumors for whom SmartMatch drug screen analysis results are generated within 21 days from the time of tumor tissue acquisition21 days from the time of tumor tissue acquisition
Point estimates and 95% exact confidence intervals will be calculated using the Clopper-Pearson method