T

Tim van Groningen

Leiden University Medical Center

ORCID: 0000-0002-5851-5192

Publishes on Neuroblastoma Research and Treatments, Cancer, Hypoxia, and Metabolism, Cancer therapeutics and mechanisms. 39 papers and 954 citations.

39Publications
954Total Citations

Is this you? Claim your profile.

Add your photo, update your bio, and get notified when your ranking changes.

Top publicationsby citations

A NOTCH feed-forward loop drives reprogramming from adrenergic to mesenchymal state in neuroblastoma
Tim van Groningen, Nurdan Akogul, Ellen M. Westerhout et al.|Nature Communications|2019
Cited by 171Open Access

Transition between differentiation states in development occurs swift but the mechanisms leading to epigenetic and transcriptional reprogramming are poorly understood. The pediatric cancer neuroblastoma includes adrenergic (ADRN) and mesenchymal (MES) tumor cell types, which differ in phenotype, super-enhancers (SEs) and core regulatory circuitries. These cell types can spontaneously interconvert, but the mechanism remains largely unknown. Here, we unravel how a NOTCH3 intracellular domain reprogrammed the ADRN transcriptional landscape towards a MES state. A transcriptional feed-forward circuitry of NOTCH-family transcription factors amplifies the NOTCH signaling levels, explaining the swift transition between two semi-stable cellular states. This transition induces genome-wide remodeling of the H3K27ac landscape and a switch from ADRN SEs to MES SEs. Once established, the NOTCH feed-forward loop maintains the induced MES state. In vivo reprogramming of ADRN cells shows that MES and ADRN cells are equally oncogenic. Our results elucidate a swift transdifferentiation between two semi-stable epigenetic cellular states.

Therapeutic Strategies for Targeting CDKN2A Loss in Melanoma
Inger Z. M. Kreuger, Roderick C. Slieker, Tim van Groningen et al.|Journal of Investigative Dermatology|2022
Cited by 84Open Access

Loss of the tumor suppressor gene CDKN2A, encoding p16 and p14, is a frequent event driving melanoma progression. Therefore, therapeutic strategies aimed at CDKN2A loss hold great potential to improve melanoma treatment. Pharmacological inhibition of the p16 targets CDK4/6 is a prime example of such a strategy. Other approaches exploit cell cycle deregulation, target metabolic rewiring, epigenetically restore expression, act on dependencies resulting from co-deleted genes, or are directed at the effects of CDKN2A loss on immune responses. This review explores these therapeutic strategies targeting CDKN2A loss, which potentially open up new avenues for precision medicine in melanoma.

A NOTCH3 Transcriptional Module Induces Cell Motility in Neuroblastoma
Johan van Nes, Alvin Chan, Tim van Groningen et al.|Clinical Cancer Research|2013
Cited by 54Open Access

PURPOSE: Neuroblastoma is a childhood tumor of the peripheral sympathetic nervous system with an often lethal outcome due to metastatic disease. Migration and epithelial-mesenchymal transitions have been implicated in metastasis but they are hardly investigated in neuroblastoma. EXPERIMENTAL DESIGN: Cell migration of 16 neuroblastoma cell lines was quantified in Transwell migration assays. Gene expression profiling was used to derive a migration signature, which was applied to classify samples in a neuroblastoma tumor series. Differential expression of transcription factors was analyzed in the subsets. NOTCH3 was prioritized, and inducible transgene expression studies in cell lines were used to establish whether it functions as a master switch for motility. RESULTS: We identified a 36-gene expression signature that predicts cell migration. This signature was used to analyse expression profiles of 88 neuroblastoma tumors and identified a group with distant metastases and a poor prognosis. This group also expressed a known mesenchymal gene signature established in glioblastoma. Neuroblastomas recognized by the motility and mesenchymal signatures strongly expressed genes of the NOTCH pathway. Inducible expression of a NOTCH intracellular (NOTCH3-IC) transgene conferred a highly motile phenotype to neuroblastoma cells. NOTCH3-IC strongly induced expression of motility- and mesenchymal marker genes. Many of these genes were significantly coexpressed with NOTCH3 in neuroblastoma, as well as colon, kidney, ovary, and breast tumor series. CONCLUSION: The NOTCH3 transcription factor is a master regulator of motility in neuroblastoma. A subset of neuroblastoma with high expression of NOTCH3 and its downstream-regulated genes has mesenchymal characteristics, increased incidence of metastases, and a poor prognosis.

Mesenchymal Neuroblastoma Cells Are Undetected by Current mRNA Marker Panels: The Development of a Specific Neuroblastoma Mesenchymal Minimal Residual Disease Panel
Esther M. van Wezel, Lieke M. J. van Zogchel, Jalenka van Wijk et al.|JCO Precision Oncology|2019
Cited by 36Open Access

PURPOSE Patients with neuroblastoma in molecular remission remain at considerable risk for disease recurrence. Studies have found that neuroblastoma tissue contains adrenergic (ADRN) and mesenchymal (MES) cells; the latter express low levels of commonly used markers for minimal residual disease (MRD). We identified MES-specific MRD markers and studied the dynamics of these markers during treatment. PATIENTS AND METHODS Microarray data were used to identify genes differentially expressed between ADRN and MES cell lines. Candidate genes were then studied using real-time quantitative polymerase chain reaction in cell lines and control bone marrow and peripheral blood samples. After selecting a panel of markers, serial bone marrow, peripheral blood, and peripheral blood stem cell samples were obtained from patients with high-risk neuroblastoma and tested for marker expression; survival analyses were also performed. RESULTS PRRX1, POSTN, and FMO3 mRNAs were used as a panel for specifically detecting MES mRNA in patient samples. MES mRNA was detected only rarely in peripheral blood; moreover, the presence of MES mRNA in peripheral blood stem cell samples was associated with low event-free survival and overall survival. Of note, during treatment, serial bone marrow samples obtained from 29 patients revealed a difference in dynamics between MES mRNA markers and ADRN mRNA markers. Furthermore, MES mRNA was detected in a higher percentage of patients with recurrent disease than in those who remained disease free (53% v 32%, respectively; P = .03). CONCLUSION We propose that the markers POSTN and PRRX1, in combination with FMO3, be used for real-time quantitative polymerase chain reaction–based detection of MES neuroblastoma mRNA in patient samples because these markers have a unique pattern during treatment and are more prevalent in patients with poor outcome. Together with existing markers of MRD, these new markers should be investigated further in large prospective studies.