DR-356 Validation of a prognostic signature based on metabolic profile from unsupervised approach and differential expression
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DR-356 Validation of a prognostic signature based on metabolic profile from unsupervised approach and differential expression
We built a prognostic model based on metabolic profile of patients with head and neck squamous cell carcinoma. We need …
DR-370 Molecular mechanisms underlying the metastatic progression
Metastasis is responsible for the failure of cancer treatment and patient mortality. Thanks to the unprecedented opportunity to study the …
DR-362 Genetic factors of disease progression and therapy response in cutaneous squamous cell carcinoma
Squamous cell cancer (SCC) of the skin is the second most common type of cancer world-wide. While many patients can …
DR-337 Connecting telomere dysfunction, tumorigenesis and cancer evolution using short-read DNA and RNA sequencing data
The Barthel lab uses advanced sequencing and molecular approaches to study the development and evolution of brain tumors. We have …
DR-240 Genomic signatures of HR deficiency in advanced ovarian cancer
Cancers with defects in DNA repair pathways can be sensitive to certain therapies. One way to identify cases with these …
DR-341 Characterization of immunogenicity of mutations
Some tumor show spectacular effect of immunotherapy, while other tumors show only limited response. Finding biomarkers to predict this response, …
DR-314 The whole genome mutational landscape of APOBEC-driven urothelial carcinomas
Urothelial carcinoma (UC) is characterized by high mutational burden with a large proportion of genomic alterations associated with APOBEC mutagenesis. …
DR-331 The landscape of germline-somatic interactions
Summary = Inherited genetic factors are known to contribute to the risk of developing different types of tumors and to influence …
DR-302 Virus-Induced Cell-Cell Fusion as a Driver of Metastasis
Many viruses that commonly infect humans have been found to fuse cells. Evidence suggests that the products of cell fusion …
DR-359 Genomic Landscape of Metastatic Cancer with known primary compared to Cancer of Unknown primary
Based on our DR-196 data request for Cancer of Unknown Primary (CUP) we predicted the primary tumor of multiple patients …
DR-364 Microbiome in metastatic cancer
In this study we will investigate the microbiome in metastatic cancer. We will use whole genome sequencing data from solid …
DR-363 Identification of functional intergenic genomic fusions
Predicting the functional outcomes of genomic rearrangements is challenging due to the intricate nature of rearrangement patterns. Consequently, studies on …
De kennis die we met WGS vergaren kan ons een stap dichterbij ons doel brengen om voor elke patiënt een effectieve en passende behandeling te vinden, niet op basis van ‘one size fits all’, maar aangepast aan de kenmerken van de patiënt en de tumor.