Analyzing blood samples to understand Hodgkin lymphoma prognosis
Official title: Prognostic Significance of Circulating Tumor DNA in Hodgkin Lymphoma
Run by Interni hematologicka klinika FNKV · NCT06263530 · Data updated 2026-11-12
This study is trying to see if analyzing blood samples for certain mutations and the Epstein-Barr virus can help doctors better understand how Hodgkin lymphoma behaves and improve treatment decisions for patients.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Interni hematologicka klinika FNKV Research network |
| Drugs / interventions | brentuximab, nivolumab, chemotherapy |
| Locations | 5 sites (Hradec Králové and 4 other locations) |
| Status | Recruiting |
| Started | January 2, 2022 |
| Main results expected | December 31, 2023 |
| Study ends | December 31, 2027 |
| Registry record updated | February 16, 2024 |
| Trial ID | NCT06263530 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older with newly diagnosed classical Hodgkin lymphoma.
✕Probably not a fit
Patients who do not sign the informed consent will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study focuses on analyzing circulating tumor DNA (ctDNA) in patients with classical Hodgkin lymphoma (cHL) to identify specific somatic mutations. Blood samples will be collected at various treatment stages, including diagnosis and after chemotherapy, to correlate these mutations with treatment responses and tumor mass. Additionally, the study will assess the presence of Epstein-Barr virus (EBV) in EBV-positive patients to further understand its role in cHL prognosis. The goal is to develop a prognostic model that can guide treatment decisions.
Why it matters
Potential benefit: If successful, this study could lead to improved prognostic assessments and personalized treatment strategies for patients with Hodgkin lymphoma.
How similar studies have gone: Other studies have shown promise in using ctDNA for prognostic purposes in various cancers, suggesting a potential for success in this approach for Hodgkin lymphoma.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients ≥ 18 years with newly histologically confirmed classical Hodgkin lymphoma (cHL) will be enrolled * signing the informed consent Exclusion Criteria: * Pacients without signing the informed consent
Where it's running
-
University Hospital Hradec Kralove
Hradec Králové, Czechia Recruiting -
University Hospital Olomouc
Olomouc, Czechia Recruiting -
University Hospital Kralovske Vinohrady
Prague, Czechia Recruiting -
General University Hospital
Prague, Czechia Recruiting -
Charles University
Prague, Czechia Active not recruiting
Study contacts
- Study coordinator: Heidi Mocikova, M.D., Ph.D.
- Email: heidi.mocikova@fnkv.cz
- Phone: +420267163554
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
A kidney cancer prediction model to guide treatment decisions, including for patients with tumor thrombus
This project will test whether a new prediction model can guide treatment choices to improve survival for adults with renal cell carcinoma, including those with venous tumor thrombus.
-
Analysis of colorectal cancer patients at Xijing Hospital since 2011
This study looks at the different treatment methods and outcomes for colorectal cancer patients who had surgery at Xijing Hospital since 2011 to see how they compare.
-
AI system for diagnosing and predicting outcomes of breast phyllodes tumors
This study is testing whether an AI system can help doctors better diagnose and predict outcomes for patients with rare breast phyllodes tumors.
-
Predicting disease-free survival in kidney cancer using deep learning and CT scans
This study is testing a new computer model that uses CT scans to see if it can help predict how long patients with localized kidney cancer will be free of disease after surgery.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.