iExosomes for Metastatic Pancreatic Cancer with KrasG12D Mutation
This study is testing a treatment called mesenchymal stromal cells-derived exosomes with KRAS G12D siRNA (iExosomes) for people with pancreatic cancer that has spread (metastatic) and has a specific gene change called KrasG12D. The main goals are to find the safest and most effective dose of iExosomes and to see how well it works in treating the cancer. You may be able to join if you are 18 or older, have metastatic pancreatic cancer with the KrasG12D mutation, and your cancer has either progressed or been stable after at least one other treatment. The study aims to enroll 28 participants.
- Study design
- This is a dose-escalation study, meaning participants will receive increasing doses of the treatment to find the best amount. The study plans to enroll 28 participants.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed for up to one year to measure how long they live and if their minimal residual disease rate changes.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
iExosomes in Treating Participants With Metastatic Pancreas Cancer With KrasG12D Mutation
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Brandon Smaglo, MD · PRINCIPAL_INVESTIGATOR · M.D. Anderson Cancer Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Maximum Tolerated Dose Determined by Dose Limiting ToxicityFirst 4 weeks of treatment
Dose limiting toxicity graded according to the NCI CTCAE, Version 4.0
- Minimal residual disease rate in high-risk patientsUp to 1 year
Will be modeled using logistic regression.
- Overall survival (OS)Up to 1 year
Estimated using the Kaplan-Meier product limit estimator.
- Progression-free survival (PFS)Up to 1 year
Estimated using Kaplan-Meier product limit estimator.