Observational Study of Immune Changes with Radiation Therapy in Breast Cancer
This study is looking at how radiation therapy (RT) affects the immune system in people with invasive breast cancer. Researchers want to see if RT causes immune cells, like CD8+ and CD4+ T cells, to enter tumors and fight cancer. You would receive RT and have tumor biopsies and blood samples taken before, during, and after treatment to measure these immune cell changes. The goal is to understand if RT can help the body's immune system target cancer cells. This study is currently recruiting 36 participants.
- Study design
- This is an observational study, meaning researchers will be watching and collecting information without assigning specific treatments. It plans to enroll 36 participants.
- What's involved
- You would undergo radiation therapy, tumor punch biopsies, and blood sample collections before your first radiation treatment and on days 1, 3, and 7.
- Compensation
- Not stated in the trial record.
- Follow-up
- Immune cell changes are measured from baseline up to day 8 after radiation therapy.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Temporal Immunologic Changes With Hypofractionated Radiation-Induced DNA Damage in Breast Cancer
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Simona F Shaitelman, 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
- Percent change of CD8+ T cellsBaseline up to day 8
Will be estimated with corresponding two-sided 80% confidence intervals. Also, marker levels at each time point and unstandardized effect sizes (arithmetic differences from baseline) across time points will be estimated along with 2-sided 80% confidence intervals.
- Percent change of CD4+ T cellsBaseline up to day 8
Will be estimated with corresponding two-sided 80% confidence intervals. Also, marker levels at each time point and unstandardized effect sizes (arithmetic differences from baseline) across time points will be estimated along with 2-sided 80% confidence intervals.