Observational Study for Cancer Research
This observational study aims to collect tumor tissue samples, and sometimes normal tissue, along with about 50 mL of blood from people with cancer. Researchers will use these samples to create preclinical models (like cell lines and models grown in mice) to better understand cancer biology. The goal is to identify new ways to treat cancer by testing new therapies and studying genes involved in tumor growth, specifically looking at RAF and targeted therapy mechanisms. This research could help design future clinical trials. You can join if you are 18 or older and are having a biopsy or surgery to remove tissue as part of your standard medical care or for research.
- Study design
- This is an observational study planning to enroll 50 participants. It is not a treatment study but focuses on collecting samples for future research.
- What's involved
- You would provide tissue samples during a planned biopsy or surgery, and about 50 mL of blood. A cheek swab might also be requested.
- Compensation
- Not stated in the trial record.
- Follow-up
- Researchers will measure the number of participants whose samples contribute to genomic, microbiome, and drug sensitivity studies for aggressive cancer, up to 6 years after tissue and blood collection.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Patient Derived Preclinical Models
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Aaron S. Mansfield, M.D. · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Number of participants accrued with genomic, microbiome, and drug sensitivity components of aggressive cancer.Up to 6 years post tissue and blood collection
Sequencing data from DNA and RNA will be integrated into a visualization platform to allow individualized study of patient tumor mutations, rearrangements, and RNA expression. Genomically informed analysis will be employed to select potential targets for drug screening in the patient-derived 3D models and determine how many specimens are able to grow as 3D models. In some cases, immunostain results may be analyzed for correlation to RNA expression levels.