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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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Autophagy in lymphatic endothelial cells promotes lung metastasis

Macroautophagy/autophagy is the main lysosomal pathway for the degradation and recycling of cytoplasmic cargo, with emerging roles in endothelial cell (EC) biology. While autophagy has been extensively studied in blood ECs, its function in lymphatic ECs (LECs) remains unexplored. Given the central role of the lymphatic system in antitumor immunity and metastatic spread, we investigated how LEC autophagy affects metastatic lung colonization. In line with previous reports showing that autophagy regulates the availability of the egress signal sphingosine 1 phosphate (S1P) in secondary lymphoid organs (SLOs), lungs of non-tumor-bearing mice with LEC-specific genetic deletion of Atg5 (ATG5LEC-KO mice) exhibited reduced lymphocyte infiltration. Remarkably, in tumor-bearing mice, either genetic loss of LEC-autophagy or pharmacological blockade of S1P lyase by 4-deoxypyridoxine (DOP) suppressed lung metastasis. Pulmonary immune profiling revealed that while DOP enhanced effector T cell activity despite lower numbers, LEC-autophagy-deficient mice markedly increased the B and CD8 T Cell abundance coupled with profound reduction of VEGFR3 expression in the lung lymphatic vasculature. Together, these findings uncover an autophagy-dependent remodeling of the lymphatic routes and immune niches that fosters metastatic seeding and growth in the lung.

cancer biology↗

Glioblastoma induces the recruitment and differentiation of hybrid neutrophils from skull bone marrow

Tumor-associated neutrophil (TAN) effects on glioblastoma biology remain under-characterized. We show here that hybrid neutrophils with dendritic features - including morphological complexity, expression of antigen presentation genes, and the ability to process exogenous peptide and stimulate MHCII-dependent T cell activation - accumulate intratumorally and suppress tumor growth in vivo. Trajectory analysis of patient TAN scRNA-seq identifies this phenotype as a polarization state which is distinct from canonical cytotoxic TANs and differentiates intratumorally from immature precursors absent in circulation. Rather, these hybrid-inducible immature neutrophils - which we identified in patient and murine glioblastomas - arise from local skull marrow. Through labeled skull flap transplantation and targeted ablation, we characterize calvarial marrow as a potent contributor of antitumoral myeloid APCs, including hybrid TANs and dendritic cells, which elicit T cell cytotoxicity and memory. As such, agents augmenting neutrophil egress from skull marrow - such as intracalvarial AMD3100 whose survival prolonging-effect in GBM we demonstrate - present therapeutic potential.

cancer biology↗

Multiomic Single Cell Sequencing Identifies Stemlike Nature of Mixed Phenotype Acute Leukemia and Provides Novel Risk Stratification

Mixed phenotype acute leukemia (MPAL) is a leukemia whose biologic drivers are poorly understood, therapeutic strategy remains unclear, and prognosis is poor. We performed multiomic single cell (SC) profiling of 14 newly diagnosed adult MPAL patients to characterize the immunophenotypic, genetic, and transcriptional landscapes of MPAL. We show that neither genetic profile nor transcriptome reliably correlate with specific MPAL immunophenotypes. However, progressive acquisition of mutations is associated with increased expression of immunophenotypic markers of immaturity. Using SC transcriptional profiling, we find that MPAL blasts express a stem cell-like transcriptional profile distinct from other acute leukemias and indicative of high differentiation potential. Further, patients with the highest differentiation potential demonstrated inferior survival in our dataset. A gene set score, MPAL95, derived from genes highly enriched in this cohort, is applicable to bulk RNA sequencing data and was predictive of survival in an independent patient cohort, suggesting utility for clinical risk stratification.

cancer biology↗

Loss of JAK1 Function Causes G2/M Cell Cycle Defects Vulnerable to Kif18a Inhibition

To gain insight into biological mechanisms that cause resistance to DNA damage, we performed parallel pooled genetic CRISPR-Cas9 screening for survival in high risk HNSCC subtypes. Surprisingly, and in addition to ATM, DNAPK, and NFKB signaling, JAK1 was identified as a driver of tumor cell radiosensitivity. Knockout of JAK1 in HNSCC increases cell survival by enhancing the DNA damage-induced G2 arrest, and both knockout and JAK1 inhibition with abrocitinib prevent subsequent formation of radiation-induced micronuclei. Loss of JAK1 function does not affect canonical CDK1 signaling but does reduce activation of PLK1 and AURKA, kinases that regulate both G2 and M phase progression. Correspondingly, JAK1 KO was found to cause mitotic defects using both EdU labeling and live cell imaging techniques. Given this insight, we evaluated Kif18a inhibition as an approach to exacerbate mitotic stress and enhance the efficacy of radiation. These studies establish Kif18a inhibition as a novel strategy to counteract therapeutic resistance to DNA damage mediated by G2 cell cycle arrest.

cancer biology↗

Tissue-ABPP enables high-resolution confocal fluorescence imaging of serine hydrolase activity in cryosections - Application to glioma brain unveils activity hotspots originating from tumor-associated neutrophils

Serine hydrolases (SHs) are a functionally diverse family of enzymes playing pivotal roles in health and disease and have emerged as important therapeutic targets in many clinical conditions. Activity-based protein profiling (ABPP) using fluorophosphonate (FP) probes has been a powerful chemoproteomic approach in studies unveiling roles of SHs in various biological systems. The ABPP approach utilizes cell/tissue proteomes and features the FP warhead, linked to a fluorescent reporter for in-gel fluorescence imaging or a biotin tag for streptavidin enrichment and LC-MS/MS-based target identification. Here, we advance the ABPP methodology to glioma brain cryosections, enabling high-resolution confocal fluorescence imaging of SH activity in different cell types of the tumor microenvironment, identified by using extensive immunohistochemistry on activity probe labeled sections. We name this technique tissue-ABPP to distinguish it from conventional gel-based ABPP. We show heightened SH activity in glioma vs. normal brain and unveil activity hotspots originating from tumor-associated neutrophils. Thorough optimization and validation is provided by parallel gel-based ABPP combined with LC-MS/MS-based target verification. Tissue-ABPP enables a wide range of applications for confocal imaging of SH activity in any type of tissue or animal species.

cancer biology↗

Pharmacologic Inhibition of DYRK1A Results in MYC Hyperactivation and ERK Hyperphosphorylation rendering KMT2A-R ALL Cells Sensitive to BCL2 Inhibition

KMT2A-rearranged (KMT2A-R) B cell acute lymphoblastic leukemia (ALL) is a high-risk disease in children and adults that is often chemotherapy resistant. To identify non-cytotoxic approaches to therapy, we performed a domain-specific kinome-wide CRISPR screen in KMT2A-R cell lines and patient derived xenograft samples (PDX) and identified dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) as a potential target. Pharmacologic inhibition of the KMT2A-fusion transcriptional co-regulator Menin released the KMT2A-fusion complex from the DYRK1A promoter thereby lowering DYRK1A expression levels confirming DYRK1A as a direct target of the KMT2A fusion oncogene. Direct pharmacologic inhibition of DYRK1A decreased cell proliferation of KMT2A-R ALL, thereby confirming the requirement of DYRK1A in this ALL subtype. To further understand the biologic function of DYRK1A in KMT2A-R ALL, we leveraged pharmacologic DYRK1A inhibitors in KMT2A-R PDX and cell line models. DYRK1A inhibition consistently led to upregulation of MYC protein levels, and hyperphosphorylation of ERK, which we confirmed via in vivo treatment experiments. Furthermore, DYRK1A inhibition decreased ALL burden in mice. Our results further demonstrate that DYRK1A inhibition induces the proapoptotic factor BIM, but ERK hyperphosphorylation is the driving event that induces cell cycle arrest. In contrast, combined treatment of KMT2A-R ALL cells in vitro and in vivo with DYRK1A inhibitors and the BCL2 inhibitor, venetoclax, synergistically decreases cell survival and reduced the leukemic burden in mice. Taken together these results demonstrate a unique function of DYRK1A specially in KMT2A-R ALL. Synergistic inhibition of DRYK1A and BCL2 may provide a low-toxic approach to treat this high risk ALL subtype.

cancer biology↗

IRE1-dependent GOLIM4 expression controls protein secretion to modulate glioblastoma cell adhesion and migration

One of the main glioblastoma (GB) features is the diffuse migration of the tumor cells within the surrounding brain parenchyma, rendering almost impossible the complete tumor resection and irradiation, leading to inexorable lethal relapse of the disease. In the past years, we demonstrated that IRE1 (hereafter IRE1), one of the Endoplasmic Reticulum (ER) stress sensors, plays a key role in GB biology by impacting on immune infiltration, angiogenesis and tumor cell migration/invasion, all these features being linked to an alteration of protein secretion. In the present study, we investigated if and how IRE1 could regulate the functionality of the secretory machinery in GB cells and identified GOLIM4, a Golgi-associated molecule whose expression is regulated downstream of IRE1 through the transcription of XBP1s. Interestingly, GOLIM4 silencing led to decreased surface expression of multiple molecules including MHC class I molecules, growth factor receptors (PDGFRA and IL13RA2) and proteins involved in cell-cell adhesion (CD44, CD54, NCAM1), adhesion to matrix (ITGB1) or cell migration (CD90) without alteration of their encoding transcripts expression levels. Moreover, GOLIM4 silencing phenotypically affected GB cell-cell adhesion and cell migration in multiple models. Overall, we have described a novel IRE1/XBP1s/GOLIM4 operon that controls the secretion of specific proteins and impacts the tumor aggressiveness. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/619629v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@511636org.highwire.dtl.DTLVardef@18971f6org.highwire.dtl.DTLVardef@98ff81org.highwire.dtl.DTLVardef@ae7189_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

MYC overexpression drives poor prognosis and differential sensitivity to treatments according to TP53 status in chronic lymphocytic leukemia

Chronic lymphocytic leukemia (CLL) is a lymphoid neoplasm with very heterogeneous clinical and biological behavior. Among molecular variables, TP53 alterations are well-established adverse prognostic markers; however, MYC activation, which has been linked to disease progression, has not been completely defined in terms of clinical and biological impact, particularly in relation to TP53 status. Here, we investigated the effects of MYC overexpression according to TP53 status using clinical and transcriptomic data from CLL patients and novel cellular models. CLL patients with TP53WT and MYC overexpression exhibited significantly shorter time to first treatment and overall survival, indicating an aggressive disease course comparable to that of patients with TP53 alterations. Consistently, MYC overexpression in in vitro TP53WTmodels was associated with increased proliferation, enrichment of AKT/mTOR signaling and upregulation of genes involved in leukemogenesis and tumor progression such as FOXO6. Moreover, MYC overexpression was associated with increased sensitivity to venetoclax in TP53WT cells. By contrast, the concurrence of MYC overexpression and TP53 dysfunction conferred resistance to conventional CLL therapies such as BCL2 or BTK inhibitors. Of note, we identified a glycolysis inhibitor, in monotherapy or combined with BKT inhibitors, as a potential therapeutic strategy for CLL patients harboring MYC overexpression and TP53 alterations.

cancer biology↗

Advanced human cerebral organoids as a model for investigating glioma stem cell interactions with microglia and vascular cells and response to radiotherapy

The recent development of human brain organoids from induced pluripotent stem cells (IPSCs) enables the modeling of brain biology and pathophysiology, such as gliomas. However, most models lack vascular and/or immune systems, both of which play essential roles in maintaining brain health and in pathophysiological mechanisms. We have established a new method for generating vascularized complex cerebral organoids (CCOs) containing microglial cells (brain-resident macrophages) by incorporating bipotent hematopoietic/endothelial progenitors derived from the same IPSC lines during the early stages of development. This approach led to the formation of extensive vascular-like structures with blood-brain barrier characteristics, which were perfused upon transplantation into immunodeficient mice. Additionally, microglial cells exhibiting typical phenotypes and functionalities also developed within the CCOs. By coculturing CCOs with glioma stem cells, we demonstrated that this model effectively recapitulates the tumor niche of glioblastoma, showing vascular co-option, reprogramming of microglia into tumor-associated macrophages, and recurrence after radiotherapy. In conclusion, our vascularized and immunocompetent CCO model will be invaluable for understanding human brain development, exploring how this process is disrupted in diseases like gliomas, and discovering new therapeutic strategies.

cancer biology↗

NSUN2-mediated mRNA m5C Modification Regulates the Progression of Hepatocellular Carcinoma

RNA modification affects many biological processes and physiological diseases. The 5-methylcytosine (m5C) modification regulates the progression of multiple tumors. However, its characteristics and functions in hepatocellular carcinoma (HCC) remain largely unknown. Here, we found that HCC tissues had a higher m5C methylation level than the adjacent normal tissues. Transcriptome analysis revealed that a major fraction of the hypermethylated genes participated in the phosphokinase signaling pathways, such as the Ras and PI3K-Akt pathways. The m5C methyltransferase NSUN2 was highly expressed in HCC tissues consistently. Interestingly, the expression of many oncogenes was positively correlated with the expression of NSUN2, including GRB2, RNF115, AATF, ADAM15, RTN3, and HDGF. Real-time PCR assays further revealed that the expression of the mRNA of GRB2, RNF115, and AATF decreased significantly with the depletion of NSUN2 in HCC cells. Furthermore, NSUN2 could regulate the cellular sensitivity of HCC cells to sorafenib via modulating the Ras signaling pathway. Moreover, knocking down NSUN2 caused cell cycle arrest. Our study demonstrated a vital role of NSUN2 in the progression of HCC.

cancer biology↗

Single-cell multiomic profiling reveals lineage plasticity in pediatric B-lineage Acute Lymphoblastic Leukemia during the early phase of treatment

The biological bases of transient myelomonocytic switch (mmSW) during induction therapy in B-cell precursor acute lymphoblastic leukemia (BCP-ALL) remains largely undefined. Here we integrated single-cell transcriptomic and surface marker profiling with genomic and DNA methylation analyses of pediatric BCP-ALLs, including matched diagnosis (Dx) and Day+15 samples from mmSW-positive (mmSWpos) and mmSW-negative cases. At Dx, mmSWpos leukemia samples were enriched for hematopoietic stem/progenitor-like cell subpopulations. Trajectory and entropy analyses identified a pre-existing "fate-uncertain" cell compartment co-expressing both lymphoid and myeloid programs. Longitudinal single-cell data showed that, in mmSWpos samples, this population undergoes complete transdifferentiation. mmSWpos are enriched for Ras pathway and chromatin regulation mutations and display a specific DNA hypermethylation pattern at Dx. These findings indicate that transient mmSW arises from intrinsic leukemic plasticity, in which immature transcriptomic and distinct epigenetic states at diagnosis enable lineage switching under the pressure of ALL treatment.

Cancer Biology↗

Identification of a long non-coding RNA regulator of liver carcinoma cell survival

ABSTRACTGenomic studies have significantly improved our understanding of hepatocellular carcinoma (HCC) biology and have led to the discovery of multiple protein-coding genes driving hepatocarcinogenesis. In addition, these studies have identified thousands of new non-coding transcripts deregulated in HCC. We hypothesize that some of these transcripts may be involved in disease progression. Long non-coding RNAs are a large class of non-coding transcripts which participate in the regulation of virtually all cellular functions. However, a majority of lncRNAs remain dramatically understudied. Here, we applied a pooled shRNA-based screen to identify lncRNAs essential for HCC cell survival. We validated our screening results using RNAi, CRISPRi, and antisense oligonucleotides. We found a lncRNA, termed ASTILCS, that is critical for HCC cell growth and is overexpressed in tumors from HCC patients. We demonstrated that HCC cell death upon ASTILCS knockdown is associated with apoptosis induction and downregulation of a neighboring gene, Protein Tyrosine Kinase 2 (PTK2), a crucial protein for HCC cell survival. Taken together, our study describes a new, non-coding RNA regulator of HCC.Competing Interest StatementThe authors have declared no competing interest.View Full Text

cancer biology↗

Histology and spatial transcriptomic integration revealed infiltration zone with specific cell composition as a prognostic hotspot in glioblastoma

BackgroundGlioblastoma (GBM), the most aggressive primary brain tumor, has a median survival of approximately 15 months. Twenty percent of patients survive beyond three years, but known clinical factors like age, performance status, resection extent, and MGMT promoter methylation status do not fully explain the observed outcomes. ObjectiveOur objective was to identify novel histology derived biomarkers associated with end-of-spectrum overall survival (OS) to provide novel biological insight with a translational potential. MethodsWe analyzed a total of 748 GBM patients from 3 different cohorts, uniquely enriched in long survivors (n=98 with overall survival (OS) > 5y including n=196 with OS[&ge;]3y), with clinical data and H&E slides obtained from the primary tumor at baseline. We propose an interpretable machine learning (ML) methodology for the discovery of histological biomarkers. Our method learned to segment each H&E slide into three distinct regions associated with long-term survival, short-term survival, and non-informative tissue. We characterized these regions by integrating unsupervised learning, nuclei segmentation, blood vessels detection, pathologist annotations, and multimodal data including spatial transcriptomics from n=31 patients of the GBM MOSAIC dataset to discover fully interpretable biomarkers. ResultsOur OS prediction model using histology and clinical data as input achieved an area under the curve (AUC) of 0.85 for the classification of patients between OS<2 and OS[&ge;]3y in external cohort validation, outperforming significantly models trained on clinical data or on histology alone (AUC of 0.76; 0.73, respectively). Two novel biomarkers were predicting poor survival: the presence of regions of lowly infiltrated white matter enriched in malignant cells with a mesenchymal-like phenotype, and lower levels of angiogenesis associated with higher hypoxia response in the main tumor regions. We also found that a subtype of immunosuppressive tumor macrophages - defined by high PLIN2 expression and lipid accumulation- is consistently enriched in histological areas predictive of poor prognosis. ConclusionOur interpretable ML methodology identified a novel prognostic impact of biological processes and cell types according to distinct tumor regions of GBM. These results pave the way for spatially-informed biomarkers to improve risk stratification and for personalized spatially-targeted therapeutic strategies. Key highlightsO_LIOur ML model identified histological biomarkers predicting prognosis independently from known clinical factors C_LIO_LIThe region of lowly infiltrated white matter enriched in malignant cells including a mesenchymal-like phenotype is predictive of poor prognosis C_LIO_LIAngiogenesis is increased in areas predictive of long survival in main non-necrotic tumor regions. C_LIO_LIThe subtype of macrophages expressing PLIN2 and associated with increased lipid metabolism was associated with poor prognosis in all GBM regions. C_LI Highlights O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/681087v4_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@45e619org.highwire.dtl.DTLVardef@105a4b0org.highwire.dtl.DTLVardef@17f257dorg.highwire.dtl.DTLVardef@7669b4_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

Histopathology-assisted proteogenomics provides foundations for stratification of melanoma metastases

Here we describe the histopathology-driven proteogenomic landscape of 142 treatment-naive metastatic melanoma samples. We identified five proteomic subtypes that integrate the immune and stroma microenvironment components, and associate with clinical and histopathological parameters, providing foundations for an in-depth molecular classification of melanoma. Our study shows that BRAF V600 mutated melanomas display heterogeneous biology, where the presence of an oncogene-induced senescence-like phenotype improves patient survival. Therefore, we propose a mortality-risk-based stratification, which may contribute to a more personalized approach to patient treatment. We also found a strong association between tumor microenvironment composition, disease progression, and patient outcome supported by single-cell omic signatures that point to straightforward histopathological connective tissue-to-tumor ratio assessment for better informed medical decisions. A melanoma-associated signature of single amino acid variants (SAAV) responsible for remodeling the extracellular matrix was uncovered together with SAAV-derived neoantigen candidates as targets of anti-tumor immune responses. Overall, this study offers comprehensive stratifications of melanoma metastases that may help develop tailored strategies for diagnosing and treating the disease.

cancer biology↗

The fusion gene occurrence spectrum predicts the spatial structure of chromosomes

Chromosome was "self-assembled" into a complex three-dimensional topology in the nucleus, which provided the structural basis for important biological processes such as gene expression regulation and cell differentiation. The current understanding of the three-dimensional organization of the genome is based on high-throughput sequencing and imaging technologies to visualize the conformation of chromatin in its native environment. This study proposes a new research perspective and technical means to use fusion genes to determine the interaction information and three-dimensional structure of chromosomes. This three-dimensional information provided by the fusion gene spectrum not only shows the universality of the spatial layout of chromosomes, but also increases the interpretability of the occurrence of fusion genes. The chromatin conformation capture data of multiple tissues and periods is significantly correlated with the strength of fusion genes. For example, the frequency of trans-interaction between chromosomes 11 and 17 was the highest, and the frequency of fusion gene occurrence corresponding to KMT2A on chromosome 11 was the highest. Therefore, we infer that this structural universality is a common feature of the human genome, which provides a theoretical basis and data for predicting chromosome fusion events.

cancer biology↗

Somatic mutation involving activated signaling, transcription, or tumor suppression is a premise of MDS evolving into AML

The transformation biology of secondary AML from MDS is still not fully understood. Here, we performed a large cohort of paired sequences including target, whole-exome and single cell sequencing to search AML transformation-related mutations (TRM). The results showed that fifty-five out of the 64 (85.9%) patients presented presumptive TRM involving activated signaling, transcription factors, or tumor suppressors. Most of TRM (63.6%, 35 cases) emerged at the leukemia transformation point. All five of the remaining nine patients analyzed by paired whole exome sequencing showed TRM which are not included in the reference targets. Single-cell sequencing indicated that the activated cell signaling route was related to TRM which take place prior to phenotypic development. Of note, defined TRM was limited to a small set of genes (less than ten, in the order: NRAS/KRAS, CEBPA, TP53, FLT3, RUNX1, CBL, PTPN11 and WT1, accounted for 91.0% of the mutations). In conclusion, somatic mutations involving in activated signaling, transcription factors, or tumor suppressors appeared to be a precondition for AML transformation from myelodysplastic syndromes. The TRM may be considered as new therapy targets.

cancer biology↗

The PVT1, HULC, and HOTTIP expression changes due to treatment in Diffuse Large B-cell lymphoma

Diffuse large B-cell lymphoma is the most common histological subtype of non-Hodgkins lymphomas. It is an aggressive malignancy that displays great heterogeneity in morphology, genetics, biological behavior and treatment response owing to chromatin remodeling and epigenetics. Bioinformatic-based approaches were used to understand the possible signaling pathways of the three lncRNAs PVT1, HULC, and HOTTIP. Furthermore, their expression levels were quantitatively evaluated in 100 patients before and after the treatment. The results revealed that gene expression was significantly upregulated in PVT1, HULC, and HOTTIP by 7.39{+/-}8.48-, 5.924{+/-}7.536-, and 4.137{+/-}5.863 fold, respectively, relative to normal cases. Post-treatment measurement of lncRNA expression indicated that PVT1 and HOTTIP were significantly downregulated. Interestingly, the expression levels of PVT1, HULC, and HOTTIP were significantly higher in DLBCL patients aged > 60 years than in those aged < 60 years. In addition, there was a significant positive correlation between HULC and HOTTIP expression. The analysis of overexpressed lncRNA-miRNA interaction indicated different deregulated miRNA targets and the protein targets of upregulated lncRNAs are mainly with histone modification, DNA methylation/demethylation, and protein methyltransferase activity. Summary blurbThe lncRNAs PVT1, HULC, and HOTTIP expression is significantly upregulated before treatment and reduce to normal level after treatment. It can be used as diagnostic marker or prognostic means especially in Relapsed/refractory DLBCL.

cancer biology↗

Targeting synthetic lethality between non-homologous end joining and radiation in very high-risk SHH medulloblastoma

Specific and biologically informed treatments for medulloblastoma, especially the highly lethal TP53 mutant SHH subgroup, remain elusive, where radiotherapy is the primary treatment option. Applying genome-wide CRISPR-Cas9 screening in combination with lethal doses of radiotherapy, we identified the main driver of radiation resistance in SHH medulloblastoma is loss of p53. A negative selection CRISPR-Cas9 screen across multiple models of Trp53-deficient SHH medulloblastoma revealed a strong synthetic lethal interaction between components of the non-homologous end-joining pathway and radiation, particularly DNA protein kinase (DNA-PK) and its binding partners. Both genetic and pharmacological perturbation of DNA-PK enhanced radiosensitivity in TP53-deficient SHH medulloblastoma, leading to cell death. In vivo treatment of somatic and germline TP53-mutant SHH medulloblastoma models with peposertib, a small-molecule inhibitor of DNA-PK, significantly improved survival when combined with radiotherapy, strongly supporting further clinical investigation.

cancer biology↗