Pieter Wesseling
A5050961926- Glioma Diagnosis and Treatment
- Brain Metastases and Treatment
- Computational Fluid Dynamics and Aerodynamics
- Advanced Numerical Methods in Computational Mathematics
- Radiomics and Machine Learning in Medical Imaging
- Epigenetics and DNA Methylation
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Meningioma and schwannoma management
- Cancer-related molecular mechanisms research
- Neuroblastoma Research and Treatments
- Fluid Dynamics and Turbulent Flows
- Chromatin Remodeling and Cancer
- Angiogenesis and VEGF in Cancer
- Neurofibromatosis and Schwannoma Cases
- Ocular Oncology and Treatments
- Ferroptosis and cancer prognosis
- MicroRNA in disease regulation
- Medical Imaging Techniques and Applications
- Lattice Boltzmann Simulation Studies
- Numerical methods for differential equations
- RNA modifications and cancer
- Advanced MRI Techniques and Applications
- Hedgehog Signaling Pathway Studies
- Microtubule and mitosis dynamics
Princess Máxima Center
2016-2025
Amsterdam University Medical Centers
2012-2025
University Medical Center Utrecht
2014-2025
Vrije Universiteit Amsterdam
2012-2025
Erasmus University Rotterdam
2011-2024
Erasmus MC
2010-2024
Amsterdam Neuroscience
2018-2024
University of Amsterdam
2014-2024
Radboud University Nijmegen
2010-2023
Radboud University Medical Center
2009-2023
Major discoveries in the biology of nervous system tumors have raised question how non-histological data such as molecular information can be incorporated into next World Health Organization (WHO) classification central tumors. To address this question, a meeting neuropathologists with expertise diagnosis was held Haarlem, Netherlands, under sponsorship International Society Neuropathology (ISN). Prior to meeting, participants solicited input from clinical colleagues diverse...
These EANO–ESMO joint recommendations for the diagnosis and treatment of leptomeningeal metastasis (LM) from solid cancers represent first European guideline initiative on this topic. LM is defined as spread tumour cells within leptomeninges subarachnoid space, synonymous with ‘neoplastic meningitis’ can be further denoted by primary carcinomatosis, gliomatosis or lymphomatosis. The address tumours, but neither brain tumours nor lymphoma leukaemia.
Detection of DNA copy number aberrations by shallow whole-genome sequencing (WGS) faces many challenges, including lack completion and errors in the human reference genome, repetitive sequences, polymorphisms, variable sample quality, biases procedures. Formalin-fixed paraffin-embedded (FFPE) archival material, analysis which is important for studies cancer, presents particular analytical difficulties due to degradation frequent matched samples. We present a robust, cost-effective WGS method...
cIMPACT-NOW (the Consortium to Inform Molecular and Practical Approaches CNS Tumor Taxonomy) was established evaluate make practical recommendations on recent advances in the field of tumor classification, particularly light rapid progress molecular insights into these neoplasms. For Round 2 its deliberations, Working Committee 3 reconstituted convened Utrecht, The Netherlands, for a meeting designed review putative new types advance any future World Health Organization classification. In...
Recent studies have shown the prognostic significance of IDH1 mutations in glioma. It is yet unclear if are predictive for outcome to chemotherapy. We determined effect on progression-free survival and overall (OS), its correlation with other clinical molecular features prospective randomized European Organization Research Treatment Cancer study 26951 adjuvant procarbazine, 1-(2-chloroethyl)-3-cyclohexyl-l-nitrosourea, vincristine (PCV) anaplastic oligodendroglioma.IDH1 IDH2 alterations...
Abstract Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents children. They represent a morphologically heterogeneous class of some entities lack defining histopathological features. Therefore, the diagnosis sarcomas is burdened with high inter-observer variability misclassification rate. Here, we demonstrate classification using machine learning classifier algorithm based on array-generated DNA methylation data. This sarcoma trained dataset 1077 profiles from...