Marcel Nijland
dr.
I work as a hematologist and my main focus is on patients with aggressive B-cell lymphomas and CNS lymphomas. My research is centered on the application of novel diagnostic and therapeutic strategies into clinical trials. These include imaging-studies like 18F-FDG-PET, Zr-Brentuximab-PET and Zr-atezolizumab-PET. In addition, I aim to implement novel strategies to measure minimal residual disease, and prognostic gene expression profiles in DLBCL. Linked to this I also focus on mutational analysis to study clonal evolution and prognostic / predictive values of mutations. These studies are carried out in a close collaboration with HOVON and other departments in the UMCG.
Biological and Clinical Implications of Gene-Expression Profiling in Diffuse Large B-Cell Lymphoma: A Proposal for a Targeted BLYM-777 Consortium Panel as Part of a Multilayered Analytical Approach
Published in: Cancers
Access to document
10.3390/cancers14081857
document
Simple Summary This review summarizes gene-expression profiling insights into the background and origination of diffuse large B-cell lymphomas (DLBCL). To further unravel the molecular biology of these lymphomas, a consortium panel called BLYM-777 was designed including genes important for subtype classifications, genetic pathways, tumor-microenvironment, immune response and resistance to targeted therapies. This review proposes to combine this transcriptomic method with genomics, proteomics, and patient characteristics to facilitate diagnostic classification, prognostication, and the development of new targeted therapeutic strategies in DLBCL. Gene-expression profiling (GEP) is used to study the...
Fleur A de Groot, Ruben A L de Groen, Anke van den Berg, Patty M Jansen, King H Lam, Pim G N J Mutsaers, Carel J M van Noesel, Martine E D Chamuleau, Wendy B C Stevens, Jessica R Plaça, Rogier Mous, Marie José Kersten, Marjolein M W van der Poel, Thomas Tousseyn, F J Sherida H Woei-A-Jin, Arjan Diepstra, Marcel Nijland, Joost S P Vermaat
Reproducibility of Gene Expression Signatures in Diffuse Large B-Cell Lymphoma
Published in: Cancers
Access to document
10.3390/cancers14051346
document
Multiple gene expression profiles have been identified in diffuse large B-cell lymphoma (DLBCL). Besides the cell of origin (COO) classifier, no signatures have been reproduced in independent studies or evaluated for capturing distinct aspects of DLBCL biology. We reproduced 4 signatures in 175 samples of the HOVON-84 trial on a panel of 117 genes using the NanoString platform. The four gene signatures capture the COO, MYC activity, B-cell receptor signaling, oxidative phosphorylation, and immune response. Performance of our classification algorithms were confirmed in the original datasets. We were...
Jessica Rodrigues Plaça, Arjan Diepstra, Tjitske Los, Matías Mendeville, Annika Seitz, Pieternella J Lugtenburg, Josée Zijlstra, King Lam, Wilson Araújo da Silva, Bauke Ylstra, Daphne de Jong, Anke van den Berg, Marcel Nijland
Successful treatment of hairy cell leukemia variant with obinutuzumab
Published in: Annals of Hematology
Access to document
10.1007/s00277-021-04559-z
document
Diana Al-Sarayfi, Freek O. Meeuwes, Thijs Oude Munnink, Wouter Plattel, Stefano Rosati, Estella Matutes, Marcel Nijland
Low Mutational Burden of Extranodal Marginal Zone Lymphoma of Mucosa-Associated Lymphoid Tissue in Patients with Primary Sjogren’s Syndrome
Published in: Cancers
Access to document
10.3390/cancers14041010
document
Patients with primary Sjogren’s syndrome (pSS) are at risk of developing extranodal marginal zone lymphoma (ENMZL) of the mucosa-associated lymphoid tissue (MALT) in the parotid glands. Unlike recurrent genomic aberrations observed in MALT lymphoma, which were not associated with pSS (non-pSS), it is unknown which somatic aberrations underlie the development of pSS-associated MALT lymphomas. Whole-exome sequencing was performed on 17 pSS-associated MALT lymphomas. In total, 222 nonsynonymous somatic variants affecting 182 genes were identified across the 17 cases. The median number of variants was seven (range 2-78), including...
Johanna A A Bult, Jessica R Plaça, Erlin A Haacke, M Martijn Terpstra, Gwenny M Verstappen, Frederik K L Spijkervet, Frans G M Kroese, Wouter J Plattel, Joost S P Vermaat, Hendrika Bootsma, Bert van der Vegt, Arjan Diepstra, Anke van den Berg, Klaas Kok, Marcel Nijland
Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [F-18]FDG PET/CT features
Published in: European Journal of Nuclear Medicine and Molecular Imaging
Access to document
10.1007/s00259-021-05626-3
document
Background One of the challenges in the management of patients with follicular lymphoma (FL) is the identification of individuals with histological transformation, most commonly into diffuse large B-cell lymphoma (DLBCL). [F-18]FDG-PET/CT is used for staging of patients with lymphoma, but visual interpretation cannot reliably discern FL from DLBCL. This study evaluated whether radiomic features extracted from clinical baseline [F-18]FDG PET/CT and analyzed by machine learning algorithms may help discriminate FL from DLBCL. Materials and methods Patients were selected based on confirmed histopathological diagnosis of primary FL (n=44) or...
F Montes de Jesus, Y Yin, E Mantzorou-Kyriaki, X U Kahle, R J de Haas, D Yakar, A W J M Glaudemans, W Noordzij, T C Kwee, M Nijland