
As a hematologist I am always looking for new development that might improve patient care. My main research focus is on patients with Hodgkin lymphoma and multiple myeloma. I am involved in both translational and clinical studies. In cooperation with the Pathology, I am active in the field of biomarkers, such as TARC in Hodgkin lymphoma. For the design, development and execution of clinical trials, I am an active member of both international (EORTC) and national (HOVON) organizations. For example, I am the national PI of the EORTC COBRA trial in Hodgkin lymphoma. Moreover, I am co-PI of the translational research in two international trials. In addition, I am part of the Dutch guideline writing committee for Hodgkin lymphoma. In myeloma, I am investigating innovative treatment options to improve outcome.
Tumor cells release small fragments of DNA into the bloodstream, known as circulating tumor DNA (ctDNA). By analysing ctDNA, lymphoma can be detected and monitored in a minimally invasive way. To improve the sensitivity of this approach, we developed a new analytical method called MNVista, which identifies highly specific DNA mutation patterns and is able to detect extremely small amounts of tumor DNA.
Using this technique, we studied several types of B-cell lymphoma. We demonstrated that ctDNA not only accurately reflects the genetic characteristics of the tumor but can also be more sensitive than current clinical methods for monitoring treatment response and detecting residual disease.
One of the most remarkable findings was that ctDNA could already be detected in blood samples collected years before lymphoma was diagnosed. In two-thirds of the patients studied, ctDNA was present before diagnosis, and in one case around 9 years earlier. Using our method, we showed that lymphoma can leave detectable molecular traces long before symptoms develop.
These findings contribute to the development of more accurate, less invasive, and more personalised approaches for the diagnosis and monitoring of lymphoma patients.
Clinical and molecular analyses identified risk factors for MZL transformation and revealed that transformed MZL frequently acquires features of germinal center B cells. Multi-omics approaches showed only subtle genomic and transcriptomic changes during transformation. Across subtypes, ctDNA emerged as a promising non-invasive biomarker for diagnosis, prognosis, and disease monitoring. In PTLD, ctDNA profiling revealed recurrent genetic alterations and closely reflected tumor characteristics and guide treatment decisions.
In R/R DLBCL, a high ctDNA tumor fraction was associated with poor prognosis. Persistent ctDNA mutations or copy number alterations provided complementary diagnostic value when combined with PET-CT, supporting their integrated use in assessing disease progression and guiding treatment decisions.
Together, these findings underscore ctDNA as a clinically informative biomarker across aggressive B-cell lymphoma subtypes, with potential to improve risk stratification and therapeutic guidance.