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Molenaar, J. J.

Publications and source records attributed to Molenaar, J. J..

18 recordsLinked to original sources

Sensitivity profiling reveals consistent drug responses across preclinical neuroblastoma models

Despite intensive treatment, overall survival for high-risk and relapse neuroblastoma patients remains below 50%. Even though comprehensive molecular profiling enables treatment stratification, druggable alterations have been identified for only a subset of patients. In vitro drug screening offers a complementary approach. Here, we compare the translational potential of three preclinical drug screening methods: ex vivo short-term, in vitro patient-derived organoid and in vivo patient-derived xenograft (PDX) drug testing. In total, 55 screens were performed from 38 neuroblastoma samples and five pediatric non-malignant samples, testing 77-224 drugs per screen. Ex vivo short-term drug screens achieved higher success rates than organoid screens (65% versus 23%) and shorter turnaround times (14 days versus 3-12 months). Matched samples showed consistent drug sensitivities across sample origin (patient versus PDX-derived; mean r = 0.84) and method (ex vivo short-term versus organoids; mean r = 0.87), demonstrating that ex vivo short-term screens recapitulate drug sensitivities found in long-term organoid models. In parallel, as part of the ITCC-P4 consortium, ten compounds were tested in vivo in eight PDX models, with samples matching the ex vivo screens. For seven out of ten clinically available compounds, ex vivo drug responses were comparable with in vivo responses in matched PDX models. These results demonstrate that, while organoids and PDX models remain essential for drug discovery, ex vivo short-term drug screening provides a rapid alternative for functional precision oncology in neuroblastoma.

cell biology↗

Proteomic profiling of the neuroblastoma secretome identifies extracellular vesicles as drivers of T cell suppression

Immunosuppressive tumor microenvironments in solid tumors hamper the efficacy of immunotherapies, including CAR T-cell therapy. To identify immunosuppressive secreted factors in high-risk neuroblastoma, a childhood solid tumor with a 5-year overall survival of below 60%, we mapped secreted factors of 16 genetically diverse patient-derived neuroblastoma tumoroids by LC-MS. The secretomes suppressed T cell activation, proliferation and cytotoxicity to varying extents, suggesting that this panel constituted a valuable discovery foundation to identify clinically relevant immunosuppressive factors. 29 proteins were significantly enriched in highly suppressive secretomes, of which Neuropeptide Y (NPY) had the highest correlation with functionally-determined immunosuppression. No direct or indirect effect of NPY on (CAR) T cell activation could be validated. Instead, NPY proved to be a biomarker for extracellular vesicle (EV) secretion. Finally, we demonstrated that neuroblastoma-derived EVs potently suppress T cell activation. Altogether, this study provides an atlas of the neuroblastoma secretome and reveals immunosuppressive effects of EVs on T cells. These insights contribute to the understanding of the immunosuppressive neuroblastoma TME.

cancer biology↗

The immune landscape of pediatric Brain and Solid Tumors: A systematic review and integration of immunohistochemistry and single-cell RNA sequencing data

BackgroundImmunotherapies achieved remarkable success in adult cancers, yet their efficacy in pediatric brain and solid tumors remains limited. Insights into the unique immune landscape of pediatric tumors are crucial to improve immunotherapies for pediatric patients. MethodsWe performed a systematic search for studies reporting immunohistochemistry (IHC), single-cell- or single-nucleus RNA-sequencing (sc/snSeq) data on the immune landscape of pediatric tumors. For IHC studies, data on macrophages, T cells, T helper cells, regulatory T cells, NK cells and B cells were extracted. For sc/snSeq studies, cell cluster counts were extracted. 47 IHC studies and 26 sc/snSeq studies were included in the analysis. ResultsOur integrative in-depth analysis of 73 studies covered 35 unique pediatric tumor types with 17 tumor types analyzed by IHC, 4 by sc/snSeq, and 14 by both techniques. Regardless of variability in analysis methods, both IHC and sc/snSeq showed that peripheral nerve tumors and soft tissue sarcomas had relatively immune-infiltrated, T cell-rich tumor microenvironments (TME). Brain tumors exhibited a macrophage/microglia-rich, NK cell- infiltrated and T cell-depleted TME. Sc/snSeq data confirmed these observations, showing a macrophage/microglia-rich brain TME. Compared to adult tumors, (CD8+) T cell infiltration and macrophage infiltration was low for all pediatric tumor types. Integrated IHC and sc/snSeq data were visualized in interactive heatmaps, publicly available on R2 as a comprehensive atlas [https://hgserver1.amc.nl/cgi-bin/r2/main.cgi?option=imi2_targetmap_v1; map Immune_landscape_mm2(by patient)_v4]. ConclusionWe provide a comprehensive, integrated overview of the immune landscape of pediatric brain and solid tumors. These insights can aid the development and selection of immunotherapeutic strategies for specific pediatric cancers, tailored to their unique immune characteristics.

immunology↗

γδ T cells are the prime anti-tumoral T cells in pediatric neuroblastoma

High-risk pediatric neuroblastoma patients have a dismal survival rate despite intensive treatment regimens. New treatment options are thus required. Even though HLA expression in neuroblastoma is low and immune cell infiltrates are limited, the presence of tumor infiltrating lymphocytes (TILs) is indicative for better patient survival. Here, we show that most tumor lesions contain viable immune cell infiltrates after induction chemotherapy, with high percentages of CD3+ T cells. We therefore expanded the TILs and tested their anti-tumoral activity. With sufficient starting material, TIL expansion was as efficient as for adult solid tumors. However, whereas TIL products from adult tumors almost exclusively contained {beta} T cells, in neuroblastoma-derived TILs, {gamma}{delta} T cells expanded with similar efficacy as {beta} T cells. Importantly, the anti-tumor responses in response to autologous tumor digest primarily originated from (V{delta}1- and V{delta}3-expressing) {gamma}{delta} T cells, and not from {beta} T cells. In conclusion, this finding creates a window of opportunity for immunotherapy for neuroblastoma patients, with {gamma}{delta} T cells as potential prime responders.

cancer biology↗

Metastatic tumor cells in bone marrow differ from paired neuroblastoma tumor and contain subsets with therapy-resistant characteristics

Bone marrow (BM) is a common site for solid tumor metastasis, often causing poor outcome. Here, we define the characteristics of BM-disseminated tumor cells (DTCs) using neuroblastoma as a model. We combined single-cell RNA-sequencing (scRNA-seq) and cell-surface protein analysis using 7 paired BM and primary tumor (PT) samples and found that DTCs contain a higher percentage of cycling cells and higher expression of neurodevelopmental genes compared to corresponding PT cells. In 6 patients, the copy number variation profile differed between PT cells and DTCs, indicating spatial heterogeneity. Within the BM, we detected dormant DTCs with potentially reduced chemosensitivity; this population contained cells expressing low levels of the immunotherapeutic antigen GD2 and increased NGFR expression. In conclusion, we characterized DTCs that are particularly challenging to target, offering new avenues for developing therapeutic strategies designed to target all subpopulations within the highly complex metastatic site, thereby preventing the development of drug-resistant clones.

cancer biology↗

Blocking MIF secretion enhances CAR T-cell efficacy against neuroblastoma

While chimeric antigen receptor (CAR) T-cell therapies are showing highly promising first results in neuroblastoma, immunosuppressive tumor microenvironments (TME) limit T cell persistence and durable clinical efficacy. To improve CAR T-cell efficacy further, we applied a multi-omics approach including single-cell RNA sequencing and proteomics, which identified 13 targetable immunosuppressive factors in neuroblastoma. Of these, macrophage migration inhibitory factor (MIF) and midkine (MDK) were validated across multiple published RNA datasets. Moreover, they were secreted in high abundance by neuroblastoma tumoroids. Functional validation experiments revealed MIF as a potent inhibitor of CAR T-cells, in vitro and in vivo. Degradation of MIF by PROTAC technology significantly enhanced CAR T-cell activation targeting GPC2 and B7-H3, providing a potential intervention against MIF. By defining the immunosuppressive effects of neuroblastomas TME on CAR T-cell efficacy, particularly the pivotal role of MIF, we provide a therapeutic strategy for improving adoptive cell therapies for this pediatric malignancy.

cancer biology↗

Functional avidity of anti-B7H3 CAR-T constructs predicts antigen density thresholds for triggering effector function

Chimeric Antigen receptor T cell (CAR-T) treatments for solid cancers have been compromised by limited expansion and survival in the tumor microenvironment following interaction with antigen-expressing target cells. Using B7H3 as a model antigen with broad clinical applicability, we evaluated the relationship between the antibody/antigen affinity of three clinical candidate binders and the three following functional characteristics: functional avidity, prolonged cytotoxicity in tumoroid re-stimulation assays, and in vivo anti-tumoral responses. BEHAV3D video-microscopy assessed distinct CAR-T cell behaviors at single cell resolution. T cell exhaustion did not dictate effector function. Rather, we demonstrated a threshold avidity of CAR-T / tumor cell interaction, characterized by longer cumulative CD8+ CAR-T / tumor target interaction times, and required for adequate CAR-T cell expansion to result in sustained tumor control upon re-challenge. These results provide new insights into design of CAR-T cells for antigen-dim cell targeting, and avoidance of antigen-dim tumor relapse.

bioengineering↗

Anti-cancer compound screening identifies Aurora Kinase A inhibition as a means to favor CRISPR/Cas9 gene correction over knock-out

CRISPR gene therapy holds the potential to cure a variety of genetic diseases by targeting causative mutations and introducing double stranded DNA breaks, subsequently allowing the host DNA repair mechanisms to introduce mutations. One option to introduce precise gene corrections is via the homology-directed repair (HDR) pathway. HDR can introduce a range of desired mutations dictated by a DNA template which holds a corrected DNA sequence which is written into the targeted gene. The problem in utilizing this pathway is that CRISPR-induced double stranded DNA breaks are repaired more often through the non-homologous end joining (NHEJ) pathway, which does not use a designed template and introduces random DNA damage in the form of insertions and deletions at the cut site. Since HDR activation depends on many interconnected processes in the cell, we aimed to screen a small library of drug compounds in clinical use or clinical development for cancer, to steer the DNA repair process towards preferential HDR activation. We included compounds in our screen based on three relevant mechanisms in CRISPR gene editing: the cell cycle, DNA repair processing and chromosomal packing. We included forty compounds, based on these criteria, screened their toxicity and dosed them in sub-toxic concentrations in cells during genome editing. Of these forty compounds we identified nine potential hits to have an effect on preferential activation of the HDR pathway over NHEJ. Alisertib, rucaparib and belinostat revealed a significant and major effect on gene editing pathway selection in further validation. Alisertib, an Aurora kinase A inhibitor, showed a particularly strong effect towards improving HDR over NHEJ. We subsequently investigated this effect at the genetic level and in a murine hepatoma cell line, which corroborated the initial findings. Alisertib led to an over 4-fold increase in preferential gene correction over gene knock-out, at a dose of 0.3 micromolar. However, the observations that Aurora kinase A inhibitors show considerable cytotoxicity (<50% cell viability) and can induce morphological changes at this concentration pose a limitation for the direct use of these inhibitors as HDR enhancers. However these findings do implicate that the pathways mediated by Aurora kinase A strongly influence HDR outcomes, which warrants further investigation into the downstream pathways driving this effect.

pharmacology and toxicology↗

Complex structural variation is prevalent and highly pathogenic in pediatric solid tumors

BackgroundIn pediatric cancer, structural variants (SVs) and copy number alterations can contribute to cancer initiation and progression, and hence aid diagnosis and treatment stratification. The few studies into complex rearrangements have found associations with tumor aggressiveness or poor outcome. Yet, their prevalence and biological relevance across pediatric solid tumors remains unknown. ResultsIn a cohort of 120 primary tumors, we systematically characterized patterns of extrachromosomal DNA, chromoplexy and chromothripsis across five pediatric solid cancer types: neuroblastoma, Ewing sarcoma, Wilms tumor, hepatoblastoma and rhabdomyosarcoma. Complex SVs were identified in 56 tumors (47%) and different classes occurred across multiple cancer types. Recurrently mutated regions tend to be cancer-type specific and overlap with cancer genes, suggesting that selection contributes to shaping the SV landscape. In total, we identified potentially pathogenic complex SVs in 42 tumors that affect cancer driver genes or result in unfavorable chromosomal alterations. Half of which were known drivers, e.g. MYCN amplifications due to ecDNA and EWSR1::FLI1 fusions due to chromoplexy. Recurrent novel candidate complex events include chromoplexy in WT1 in Wilms tumors, focal chromothripsis with 1p loss in hepatoblastomas and complex MDM2 amplifications in rhabdomyosarcomas. ConclusionsComplex SVs are prevalent and pathogenic in pediatric solid tumors. They represent a type of genomic variation which currently remains unexplored. Moreover, carrying complex SVs seems to be associated with adverse clinical events. Our study highlights the potential for complex SVs to be incorporated in risk stratification or exploited for targeted treatments.

cancer biology↗

Multi-dimensional profiling of hepatoblastomas and patient-derived tumor organoids uncovers tumor subpopulations with divergent WNT activation profiles and identifies pan-hepatoblastoma drug sensitivities

Hepatoblastoma, the most prevalent pediatric liver cancer, almost always carries a WNT-activating CTNNB1 mutation, yet exhibits notable molecular heterogeneity. To characterize this heterogeneity and identify novel targeted therapies, we performed comprehensive analysis of hepatoblastomas and tumor-derived organoids using single-cell RNA-seq, spatial transcriptomics, single-cell ATAC-seq and high throughput drug profiling. We identified two distinct tumor epithelial signatures: hepatic fetal-like and WNT-high embryonal-like signatures, displaying divergent WNT signaling patterns. The liver-specific WNT targets were enriched in the fetal-like group, while the embryonal-like group was enriched in canonical WNT target genes. Gene regulatory network analysis revealed enrichment of regulons related to hepatic function such as bile acid, lipid and xenobiotic metabolism in the fetal-like subgroup but not in the embryonal-like subgroup. In addition, the dichotomous expression pattern of the transcription factors HNF4A and LEF1 allowed for a clear distinction between the fetal- and embryonal-like tumors. We also performed high-throughput drug screening using patient-derived tumor organoids and identified sensitivity to multiple inhibitor classes, most notably HDAC inhibitors. Intriguingly, embryonal-like tumor organoids, but not fetal-like tumor organoids, were sensitive to FGFR inhibitor treatments, suggesting a dependency on FGFR signaling. In summary, our data uncover the molecular and drug sensitivity landscapes of hepatoblastoma and pave the way for the development of targeted therapies.

cancer biology↗

Two opposing gene expression patterns within ATRX aberrant neuroblastoma

Neuroblastoma is the most common extracranial solid tumor in children. A subgroup of high-risk patients is characterized by aberrations in the chromatin remodeller ATRX that is encoded by 35 exons. In contrast to other pediatric cancer where ATRX point mutations are most frequent, multi-exon deletions (MEDs) are the most frequent type of ATRX aberrations in neuroblastoma. Of these MEDs 75% are predicted to produce in-frame fusion proteins, suggesting a potential gain-of-function effect compared to nonsense mutations. For neuroblastoma there are only a few patient-derived ATRX aberrant models. Therefore, we created isogenic ATRX aberrant models using CRISPR-Cas9 in several neuroblastoma cell lines and one tumoroid and performed total RNA-sequencing on these and on the patient-derived model. Gene set enrichment analysis (GSEA) showed decreased expression of genes related to both ribosome biogenesis and several metabolic process in our isogenic ATRX exon 2-10 MED model systems, the patient-derived MED models and in tumor data containing two patients with an ATRX exon 2-10 MED. Interestingly, for our isogenic ATRX knock-out and exon 2-13 MED models GSEA revealed an opposite expression pattern characterized by increased expression of genes related to ribosome biogenesis and several metabolic process. Our validations confirmed a potential role of ATRX in the regulation of ribosome homeostasis. In this manner we identified two distinct molecular expression patterns within ATRX aberrant neuroblastomas with important implications for the need of distinct treatment regimens.

cancer biology↗

Mesenchymal tumor organoid models recapitulate rhabdomyosarcoma subtypes

Rhabdomyosarcomas (RMS) are mesenchyme-derived tumors and the most common childhood soft tissue sarcomas. Treatment is intense, with a nevertheless poor prognosis for high-risk patients. Discovery of new therapies would benefit from additional preclinical models. Here we describe the generation of a collection of pediatric RMS tumor organoid (tumoroid) models comprising all major subtypes. For aggressive tumors, tumoroid models can often be established within four to eight weeks, indicating the feasibility of personalized drug screening. Molecular, genetic and histological characterization show that the models closely resemble the original tumors, with genetic stability over extended culture periods of up to six months. Importantly, drug screening reflects established sensitivities and the models can be modified by CRISPR/Cas9 with TP53 knockout in an embryonal RMS model resulting in replicative stress drug sensitivity. Tumors of mesenchymal origin can therefore be used to generate organoid models, relevant for a variety of preclinical and clinical research questions.

cancer biology↗

Loss of p16INK4a in neuroblastoma cells induces shift to an immature state with mesenchymal characteristics and increases sensitivity to EGFR inhibitors

Homozygous inactivation of the CDKN2A locus is one of the most common genomic aberrations in human cancer. The locus codes for two unrelated and distinctly regulated proteins: p14ARF and p16INK4a, which inhibit MDM2 and CDK4/6, respectively. Loss of CDKN2A is also a recurrent event in relapsed neuroblastoma, a childhood tumour that arises from neural crest cells. To examine the consequences of the loss of the two distinct gene transcripts in neuroblastoma, we used the CRISPR-Cas9 system to knockout p14, p16 and p14+p16 in SY5Y cells. RNA sequencing of the transcriptome revealed a striking shift towards an immature Schwann cell precursor-like phenotype with mesenchymal characteristics, specifically in the p16 and p14+p16 knockouts. High-throughput drug screening of p16 and p14+p16 knockout clones identified a large increase in sensitivity to EGFR inhibitors. On protein level, we were able to confirm that EGFR pathway activation is higher in p14+p16 knockout cells and that treatment with the EGFR inhibitor afatinib resulted in higher levels of apoptosis. Afatinib also reduced tumour growth in vivo in xenografts transplanted with p14+p16 knockout SY5Y cells. Overall, our study suggests that CDKN2A deletion in neuroblastoma relates to a phenotypic shift towards a more progenitor like state and increases sensitivity to EGFR inhibitors.

cancer biology↗

Systematic discovery of gene fusions in pediatric cancer by integrating RNA-seq and WGS

BackgroundGene fusions are important cancer drivers in pediatric cancer and their accurate detection is essential for diagnosis and treatment. Clinical decision-making requires high confidence and precision of detection. Recent developments show RNA sequencing (RNA-seq) is promising for genome-wide detection of fusion products, but hindered by many false positives that require extensive manual curation and impede discovery of pathogenic fusions. ResultsWe developed Fusion-sq to detect tumor-specific gene fusions by integrating and "fusing" evidence from RNA-seq and whole genome sequencing (WGS) using intron-exon gene structure. In a pediatric pan-cancer cohort of 130 patients, we identified 165 high confidence tumor-specific gene fusions and their underlying structural variants (SVs). This includes all clinically relevant fusions known to be present in this cohort (30 patients). Fusion-sq distinguishes healthy-occurring from tumor-specific fusions, and resolves fusions in amplified regions and copy number unstable genomes. A high gene fusion burden is associated with copy number instability. We identified 27 potentially pathogenic fusions involving oncogenes or tumor-suppressor genes characterised by underlying SVs or expression changes indicative of activating or disruptive effects. ConclusionsOur results indicate how clinically relevant and potentially pathogenic gene fusions can be identified and their functional effects investigated by combining WGS and RNA-seq. Integrating RNA fusion predictions with underlying SVs advances fusion detection beyond extensive manual filtering. Taken together, we developed a method for identifying candidate fusions that is suitable for precision oncology applications. Our method provides multi-omics evidence for assessing the pathogenicity of tumor-specific fusions for future clinical decision making.

genomics↗

RRM2 is a target for synthetic lethal interactions with replication stress checkpoint addiction in high-risk neuroblastoma

Neuroblastoma is a pediatric tumor originating from the sympathetic nervous system responsible for 10-15 percent of all childhood cancer deaths. Half of all neuroblastoma patients present with high-risk disease at diagnosis. Despite intensive multi-modal therapies nearly 50 percent of high-risk cases relapse and die of their disease. In contrast to the overall paucity of mutations, high-risk neuroblastoma nearly invariably present with recurrent somatic segmental chromosome copy number variants. For several focal aberrations (e.g. MYCN and LIN28B amplification), the direct role in tumor formation has been established. However, for recurrent aberrations, such as chromosome 2p and 17q gains, the identification of genes contributing to tumor initiation or progression has been challenging due to the scarcity of small segmental gains or amplifications. In this study, we identified and functionally evaluated the ribonucleotide reductase regulatory subunit 2 (RRM2) as a top-ranked 2p putative co-driver and therapeutic target in high-risk neuroblastoma enforcing replicative stress resistance. In vitro knock down and pharmacological RRM2 inhibition highlight RRM2 dependency in neuroblastoma cells, further supported by the finding that co-overexpression of RRM2 in a d{beta}h-MYCN transgenic zebrafish line increased tumor penetrance with 80% and accelerated tumor formation. Given the critical role of RRM2 in replication fork progression and regulation of RRM2 through ATR/CHK1 signaling, we tested combined RRM2 and ATR/CHK1 small molecule inhibition with triapine and BAY1895344/prexasertib respectively, and observed strong synergism, in particular for combined RRM2 and CHK1 inhibition. Transcriptome analysis following combinatorial drugging revealed HEXIM1 as one of the strongest upregulated genes. Using programmable DNA binding of dCas9 with a promiscuous biotin ligase, RRM2 promotor bound proteins were identified including HEXIM1 and NurRD complex members, supporting a cooperative role for HEXIM1 upregulation together with CHK1 inhibition in further attenuating RRM2 expression levels. We evaluated the impact of combined RRM2/CHK1 inhibition in vivo, with treatment of a murine xenograft model showing rapid and complete tumor regression, without tumor regrowth upon treatment arrest. In conclusion, we identified RRM2 as a novel dependency gene in neuroblastoma and promising target for synergistic drug combinations with small compounds targeting DNA checkpoint regulators.

cancer biology↗

PPM1D is a neuroblastoma oncogene and therapeutic target in childhood neural tumors.

Majority of cancers harbor alterations of the tumor suppressor TP53. However, childhood cancers, including unfavorable neuroblastoma, often lack TP53 mutations despite frequent loss of p53 function, suggesting alternative p53 inactivating mechanisms. Here we show that p53-regulating PPM1D at chromosome 17q22.3 is linked to aggressive tumors and poor prognosis in neuroblastoma. We identified that WIP1-phosphatase encoded by PPM1D, is activated by frequent segmental 17q-gain further accumulated during clonal evolution, gene-amplifications, gene-fusions or gain-of-function somatic and germline mutations. Pharmacological and genetic manipulation established WIP1 as a druggable target in neuroblastoma. Genome-scale CRISPR-Cas9 screening demonstrated PPM1D genetic dependency in TP53 wild-type neuroblastoma cell lines, and shRNA PPM1D knockdown significantly delayed in vivo tumor formation. Establishing a transgenic mouse model overexpressing PPM1D showed that these mice develop cancers phenotypically and genetically similar to tumors arising in mice with dysfunctional p53 when subjected to low-dose irradiation. Tumors include T-cell lymphomas harboring Notch1-mutations, Pten-deletions and p53-accumulation, adenocarcinomas and PHOX2B-expressing neuroblastomas establishing PPM1D as a bona fide oncogene in wtTP53 cancer and childhood neuroblastoma. Pharmacological inhibition of WIP1 suppressed the growth of neural tumors in nude mice proposing WIP1 as a therapeutic target in neural childhood tumors.

cancer biology↗

Tumor to normal single cell mRNA comparisons reveal a pan-neuroblastoma cancer cell

Neuroblastoma is an embryonal childhood cancer that arises from aberrant development of the neural crest, mostly within the fetal adrenal medulla. It is not established what developmental processes neuroblastoma cancer cells represent. Here, we sought to reveal the phenotype of neuroblastoma cancer cells by comparing cancer (n=16,591) with fetal adrenal single cell transcriptomes (n=57,972). Our principal finding was that the neuroblastoma cancer cell resembled fetal sympathoblasts, but no other fetal adrenal cell type. The sympathoblastic state was a universal feature of neuroblastoma cells, transcending cell cluster diversity, individual patients and clinical phenotypes. We substantiated our findings in 652 neuroblastoma bulk transcriptomes and by integrating canonical features of the neuroblastoma genome with transcriptional signals. Overall, our observations indicate that there exists a pan-neuroblastoma cancer cell state which may be an attractive target for novel therapeutic avenues.

cancer biology↗

MEK inhibition causes Bim stabilization and sensitivity to Bcl2 family member inhibitors in RAS-MAPK mutated neuroblastoma

Mutations affecting the RAS-MAPK pathway occur frequently in relapsed neuroblastoma tumors and are associated with response to MEK inhibition in vitro. However, these inhibitors alone do not lead to tumor regression in vivo, indicating the need for combination therapy. Through high throughput combination screening we identify Trametinib and inhibitors of the BCL2 family (Navitoclax and Venetoclax) as a promising combination in neuroblastoma cells with RAS-MAPK mutations. In these lines, inhibiting the RAS-MAPK pathway leads to Bim stabilization and increased sensitivity to compounds inhibiting Bim binding to Bcl2 family members. Combining Trametinib with BCL2 inhibitors causes increased growth inhibition compared to Trametinib only in NRAS mutant SKNAS xenografts, while BCL2 inihibitors alone do not affect growth of these tumors. These results show that MEK inhibitors and specific Bcl2 family member inhibitors are a potent combination for RAS-MAPK mutated neuroblastoma tumors.

cancer biology↗