Understanding Cancer Spread in Solid Cancers
This observational study aims to better understand how solid cancers, like lung, esophageal, and pancreatic cancer, spread and recur after surgery. Researchers will collect blood, urine, and bone marrow samples during your surgery. They will look for tumor cells (circulating and disseminated tumor cells, or CTCs/DTCs) and tumor DNA in these samples. The goal is to see if the number of these cells and DNA can predict how your cancer progresses over five years. This information could help develop more personalized treatments in the future. You may be eligible if you are over 18, have a solid cancer diagnosis, and are undergoing surgery.
- Study design
- This is an observational study planning to enroll 620 participants. It includes patients with solid cancers and a control group of patients undergoing surgery for non-cancerous conditions.
- What's involved
- You would provide blood, urine, and bone marrow samples during your surgery. Tissue samples will also be collected.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your patient outcome will be measured for five years after sample 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.
Tumor Cell and DNA Detection in the Blood, Urine and Bone Marrow of Patients With Solid Cancers
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Jussuf T Kaifi, MD, PhD · PRINCIPAL_INVESTIGATOR · Ellis Fischel Cancer Center, University of Missouri
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- CTC/DTC numbers measured in blood, urine and bone marrow samples will be correlated with patient outcome5 years
CTC/DTC numbers in the blood, urine and bone marrow will be determined and correlated with survival data (presence of recurrence, death) by univariate analysis (log rank test), multivariate analysis (Cox regression) and t test/ANOVA