Find a Research Study

Find a Research Study

Find a Research Study

Find a Research Study

Find a Research Study

Using Genetics and Machine Learning to Predict Outcomes in T-cell and NK-cell Cancers

This study wants to learn how genes in your lymphoma are linked to your symptoms and how you respond to treatment. We hope that by understanding these genetic differences, we can learn how to choose better treatments for lymphoma in the future.


Why this Research Matters

You are being asked to join this study because you have a type of mature T-cell or NK-cell lymphoma. If you decide to join, we will collect data from your health record such as basic health information and details about your cancer and treatments. We will also use any leftover samples like blood, saliva, tumor tissue, or bone marrow, that were taken during your routine medical care but are no longer needed. When possible, we will run genetic tests on the samples to learn more about your lymphoma. You will also fill out surveys every 12 weeks. All of your data will be stored safely and shared only with the hospitals taking part in this study. We will use advanced computer tools to help us predict how people respond to different treatments and how long they live. You will join the study at your first visit and may be followed for up to 4 years. You and your insurance will need to pay for your routine medical care. You will not be paid for being in this study.


Who can Participate

Adult

You may be able to join this study if you are 18 or older and have T-cell or NK-cell lymphoma that is untreated, has come back, or did not respond to treatment. You cannot join the study if you have other types of cancer like precursor T-cell or NK-cell cancers, T-cell large granular lymphocytic leukemia, or skin-related T-cell lymphomas like mycosis fungoides, Sézary syndrome, or CD30+ skin problems.


Study ID

Protocol Number: 25-1948

More information available at ClinicalTrials.gov: NCT06067347


Meet the Team

Image of Principal Investigator

Brad Haverkos, MD

Principal Investigator