Understanding Outcomes for Adolescent and Young Adult Lymphoma Survivors
This study is looking at how social and genetic factors affect the health and survival of young people (ages 15-39 at diagnosis) who have survived Hodgkin lymphoma or non-Hodgkin lymphoma. Researchers want to understand why some adolescent and young adult (AYA) cancer survivors experience more health problems or die sooner after treatment compared to others. You would provide blood samples and complete questionnaires about your health and quality of life. The study aims to identify factors that increase the risk of getting sick or dying after cancer treatment, ultimately helping doctors better support AYA cancer survivors. Success will be measured by how long participants live without their cancer returning (disease-free survival, DFS) and overall survival (OS), as well as by tracking other health issues (comorbidities) for up to two years.
- Study design
- This is an observational study planning to enroll 2000 participants. It is not testing a new treatment but rather observing health outcomes.
- What's involved
- You would complete questionnaires and provide blood samples at the start of the study, and then again at 6, 12, 18, and 24 months.
- Compensation
- Not stated in the trial record.
- Follow-up
- Your health will be tracked for up to two years to measure disease-free survival, overall survival, and comorbidities.
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Evaluating the Impact of Social and Genetic Factors on Outcomes in Adolescent and Young Adult Cancer Survivors
At a glance
Conditions
Where it's being run
428 sites across 31 statesStudy leadership
- Bradley J Zebrack · PRINCIPAL_INVESTIGATOR · ECOG-ACRIN Cancer Research Group
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- Disease free survival (DFS)Time interval after primary treatment for a cancer ends that the patient survives without any signs or symptoms of thatcancer, assessed up to 2 years
A gated hypothesis testing procedure will be used to ensure control of the family-wise error rate at 0.05 (two-sided). Cox regression will be used to assess the association of the social-environmental risk factors with the hazard of DFS.
- Overall survival (OS)From participant registration to the date of death or censored at the date of data collection, assessed up to 2 years
A gated hypothesis testing procedure will be used to ensure control of the familywise error rate at 0.05 (two- sided). OS will be tested only if statistical significance is achieved for DFS. Cox regression will be used to assess the association of the social-environmental risk factors with the hazard of OS.
- Comorbidities (including symptoms, late effects)Up to 2 years
Will be assessed using Charlson Comorbidity Index (Patient version) National Cancer Institute Common Toxicity Criteria for Adverse Events.