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Precision Medicine

There are two areas of interest of my group: Genomics-guided precision medicine and precision medicine guided by tumor organoids. To perform impactful research my group consists of a multidisciplinary, international team of biologists, computational scientists and clinicians.


Genomics-guided precision medicine
By employing whole genome sequencing and RNA sequencing on a large number of clinical samples, we have now created a huge data set that allows us not only to discover new (genomic) biomarkers but also investigate resistance mechanisms with subsequent “wet lab” approaches. Examples are the role of KRAS mutants in chemotherapy resistance and the role antigen-presentation machinery in immune responses. Basic research findings can almost be immediately translated into small clinical studies. The Drug Rediscovery Protocol, in short the DRUP study, is now a brand name for defined off label use of approved drugs. In this multi-pharma (12 companies to date), multi-drug (27 drugs to date), multi-center (37 centers to date) study we have the ability to test multiple hypotheses.
We also invested a great deal of time and energy in obtaining paired biopsies from tumors such as (but not limited to) melanoma or lung patients treated with e.g. immunotherapy. This resource helps us to better understand the genomic evolution of tumors under treatment pressure.

Several other new and exciting avenues are currently explored. First, we are creating a catalogue of the microbiome and viruses present in metastases of solid tumors. We have >5000 tumor biopsies, whole genome sequenced, also with RNA sequencing data on the majority of samples and clinically annotated that are a unique resource to address questions related to the impact of the microbiome on outcome.

Secondly, we are now constructing a database by adding digital pathology and imaging data to be able to develop machine learning technologies and to determine whether these new technologies can contribute to a better patient selection for therapy.
Thirdly, in collaboration with the group of Bas van Steensel we are now examining the value of noncoding sequences.

Organoids as a tool to personalize medicine
Tumor organoids have the potential to address several scientific and translational research questions. For example, my group has developed an autologous T cell-tumor organoid co-culture protocol. This platform will provide more insights at an individual patient level on cellular immune interactions. This platform has now been expanded with other components of the microenvironment such as fibroblasts, gamma delta T cells and NK cells to understand the complexities of immunotherapy. This model is used to better understand how cancer cells evade immune attack. We have for example found that gamma delta T cells are a critical for the response of mismatch repair deficient cancers that have lost beta-2-microglobulin, a key component of the antigen presentation machinery. By combining bioinformatics with this high end organoid-immune cell model we are currently investigating several basic and translational questions. We link our organoid work to our own clinical datasets and to clinical studies such as the NICHE neo-adjuvant immunotherapy trial. We are investigating the role of unconventional immune effectors (e.g. gamma delta T cells) and their regulation by components of the antigen presentation machinery, how the tumour secretome rewires and controls immune cells, and the effect of the tumour microbiome on anti-tumour immunity.

In summary, my group is strongly committed to develop a better understanding of individual tumors and their responsiveness to immunotherapy and targeted therapy. This is done both by basic research, computational approaches and translational studies.

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