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bioRxiv2026

Circulating extracellular vesicles display immunotherapeutic targets and complement circulating tumor DNA in high-risk neuroblastoma

Extracellular vesicles (EVs) offer a minimally invasive window into tumor biology through surface molecules reflecting their cellular origin. Here, we investigated whether neuroblastoma-derived EVs retain tumor-associated surface markers and provide complementary information to established biomarkers in children with neuroblastoma. EVs from neuroblastoma cell lines were characterized using orthogonal biochemical, morphological and biophysical approaches, followed by analysis of GD2, L1CAM and NCAM1 surface expression. EV-associated markers were subsequently evaluated in blood plasma-derived EVs from children with neuroblastoma and pediatric controls and compared with clinical and circulating cell-free DNA (cfDNA) parameters. Neuroblastoma EVs displayed GD2, L1CAM and NCAM1 in patterns reflecting donor-cell surface expression, supported by a positive correlation between cellular and EV marker abundance (Spearman {rho}=0.74, P<0.0001). Genetic disruption of GD2 biosynthesis resulted in corresponding loss of EV-associated GD2, further supporting its cellular origin. In plasma, GD2-, L1CAM- and NCAM1-positive EVs were enriched in patients with high-risk neuroblastoma and correlated with LDH level, soft tissue disease burden (GD2, L1CAM) and cfDNA concentration (GD2, NCAM1). Longitudinal analyses demonstrated dynamic and partially discordant changes in EV- and cfDNA-markers. These findings identify tumor-associated EV surface phenotypes as complementary circulating biomarkers and support their further evaluation for minimally invasive monitoring of neuroblastoma evolution.

cancer biology↗

bioRxiv2026

Proximity-Informed Graph Learning Defines Spatial Protein Communities for Tumor-Associated Proximity Antigen Discovery

The spatial organization of membrane proteins is an underexplored dimension of cell-surface biology. Spatial proximity shapes cellular function and therapeutic targetability, yet efforts to identify tumor-associated antigens (TAAs) have largely focused on expression alone. Here, we developed an industrialized surface-protein proximity mapping workflow to interrogate TAAs within their membrane microenvironments. In the process, we generated 248 proximity maps across 12 receptor tyrosine kinases (RTKs) and 28 tumor cell systems. This proximity atlas enabled two advances: first, MetaMap, a correlation-based analytical framework that defines spatial protein communities and infers non-targeted proximal proteins from reproducible proximity signatures; and second, tumor-associated proximity antigens (TAPAs), a conceptual class of co-targets defined by disease-specific spatial proximity to TAAs rather than expression alone. Applying these proximity-derived relationships within a multimodal prioritization framework, we identified and validated an EGFRxCDCP1 TAA-TAPA pair that enhanced tumor cell killing across therapeutic modalities. By integrating spatial organization with multimodal data, this work expands the design space for precision-guided therapeutic strategies.

cancer biology↗

bioRxiv2021

B Cell Receptor Signaling Drives APOBEC3 Expression Via Direct Enhancer Regulation in Chronic Lymphocytic Leukemia B Cells

Constitutively activated B cell receptor (BCR) signaling is a primary biological feature of chronic lymphocytic leukemia (CLL). The biological events controlled by BCR signaling in CLL are not fully understood and need investigation. To make inroads we obtained blood samples from CLL patients before and after Brutons tyrosine kinase inhibitors (BTKi) treatment and used them to study BCR signaling regulated genes. Here, by analysis of the chromatin states and gene expression profiles of CLL B cells from patients before and after BTKi ibrutinib treatment, we show that BTKi treatment leads to a decreased expression of APOBEC3 family genes in an enhancer regulation dependent manner. BTKi treatment reduces enrichment of enhancer markers (H3K4me1, H3K27ac) and chromatin accessibility at putative APOBEC3 enhancers. CRISPR-Cas9 directed deletion or inhibition of the putative APOBEC3 enhancers leads to reduced APOBEC3 expression. We further find that transcription factor NFATc1 couples BCR signaling with the APOBEC3 enhancer activity to control APOBEC3 expression. Importantly, enhancer regulated APOBEC3 expression contributes to replication stress in malignant B cells. We also demonstrate a novel mechanism for BTKi suppression of APOBEC3 expression via direct enhancer regulation in a NFATc1 dependent manner, implicating BCR signaling as a potential regulator of leukemic genomic instability. Key pointsO_LIBCR signaling pathway regulates APOBEC3 expression via direct enhancer regulation. C_LIO_LIAOPEBC3 enhancers are involved in the process of DNA replication stress, implicating a potential role in B cell genomic instability and CLL evolution C_LI

cancer biology↗

bioRxiv2026

A reference-calibrated spatial-statistical framework for quantifying stroma-tumor cell spatial associations from histology and its geometric limits

Quantifying interactions in biological tissues requires determining whether an interaction exists, the distance over which it operates, and its strength. Existing spatial-statistical approaches can characterize spatial organization but often require interaction range or interaction models to be specified a priori, making them less suited to settings where these quantities are themselves unknown. Here, we present a practical framework that recovers the presence, range, and association strength of spatial bias toward a tissue structure directly from segmented histology. The framework combines four complementary statistics, the resource selection function, nearest-structure distance distributions, the cross J-function, and the radial distribution function, with specimen-specific reference states that preserve tissue stromal architecture while spanning a continuum of known spatial biases. Across controlled in silico tissues, we show that tissue stromal architecture imposes geometric limits on the range of recoverable interactions and that event fraction independently constrains statistical sensitivity. These spatial associations establish fundamental bounds on inference and demonstrate that spatial statistics must be interpreted relative to tissue-specific reference states rather than absolute scales. We apply the framework to proliferating tumor cells relative to CAF-rich stroma during tyrosine kinase inhibitor therapy in an ALK+ NSCLC model and identify a strong stroma-associated proliferation bias extending approximately 30-60 micrometers. The framework broadly applies to any histological setting where events and reference structures can be defined, providing a practical approach to quantify localized interactions directly from tissue stromal architecture.

cancer biology↗

bioRxiv2025

HPV status and oxygen tension shape transcriptomic, inflammatory, and cell cycle responses in HNSCC treated with ionizing radiation

Head and neck squamous cell carcinoma (HNSCC) comprises biologically distinct subtypes defined by human papillomavirus (HPV) status, which may influence treatment outcomes. Hypoxia is a common feature of solid tumors, including HNSCC, and can reduce radiotherapy efficacy by modulating DNA repair, cell-cycle progression, and inflammatory signaling. However, the combined impact of hypoxia and HPV status on cellular radiosensitivity remains poorly defined. We investigated the influence of hypoxia (1% O2) and gamma-irradiation on proliferation, cell cycle, apoptosis, transcriptomic profiles, and cytokine/chemokine secretion in three HNSCC cell lines: HPV-negative FaDu and Detroit-562 (metastatic origin), and HPV-positive 2A3. Cells were cultured under chronic hypoxic or ambient conditions, with or without irradiation. Independent of HPV status or metastatic phenotype, hypoxia prolonged the cell doubling time, while only irradiated cells (under both oxygen conditions) exhibited features of an intermediate epithelial-mesenchymal transition phenotype. Treatment of HPV-positive cells significantly decreased the number of upregulated genes, reduced cytokine secretion (IL-8, SERPINE1), and affected all phases of the cell cycle compared with HPV-negative cells. Furthermore, only the metastatic cell line showed no change in cleaved caspase-3 levels after irradiation in hypoxia and produced higher levels of cytokines (IL-8, SERPINE1). Our findings highlight how tumor oxygenation and HPV status intersect to modulate the radiation response in HNSCC. These insights may guide the development of personalized, biomarker-driven radiotherapy strategies that account for both the tumor microenvironment and viral etiology.

cancer biology↗

bioRxiv2023

T-cell inflammation is prognostic of survival in patients with high-risk neuroblastoma enriched for an adrenergic signature

PurposeT-cell inflammation (TCI) has been shown to be a prognostic marker in neuroblastoma, a tumor comprised of cells that can exist in two epigenetic states, adrenergic (ADRN) and mesenchymal (MES). We hypothesized that elucidating unique and overlapping aspects of these biologic features could serve as novel biomarkers. Patients and MethodsWe detected lineage-specific, single-stranded super-enhancers defining ADRN and MES specific genes. Publicly available neuroblastoma RNA-seq data from GSE49711 (Cohort 1) and TARGET (Cohort 2) were assigned MES, ADRN, and TCI scores. Tumors were characterized as MES (top 33%) or ADRN (bottom 33%), and TCI (top 67% TCI score) or non-inflamed (bottom 33% TCI score). Overall survival (OS) was assessed using the Kaplan-Meier method, and differences were assessed by the log-rank test. ResultsWe identified 159 MES genes and 373 ADRN genes. TCI scores were correlated with MES scores (R=0.56, p<0.001 and R=0.38, p<0.001) and anticorrelated with MYCN-amplification (R=-0.29, p<0.001 and -0.18, p=0.03) in both cohorts. Among Cohort 1 patients with high-risk, ADRN tumors (n=59), those with TCI tumors (n=22) had superior OS to those with non-inflammed tumors (n=37) (p=0.01), though this comparison did not reach significance in Cohort 2. TCI status was not associated with survival in patients with high-risk MES tumors in either cohort. ConclusionsHigh inflammation scores were correlated with improved survival in some high-risk patients with, ADRN but not MES neuroblastoma. These findings have implications for approaches to treating high-risk neuroblastoma.

cancer biology↗

bioRxiv2026

A single-cell and multi-platform spatial atlas of the human pancreas resolves a transformation-associated epithelial axis and a recurrent boundary-organized tumour microenvironment

Most pancreatic ductal adenocarcinoma (PDAC) single-cell and spatial studies analyze one cohort or platform, obscuring recurrent biology. We assembled a human pancreas single-cell and single-nucleus reference of 1,186,130 cells from 19 studies and interpreted 176 Visium sections comprising 458,877 spots across non-diseased pancreas, chronic pancreatitis, PanIN, IPMN, primary PDAC and metastasis. Marker-supported labels were used after two RNA-based copy- number callers failed known-diploid controls. BANKSY domains, two reference-mapping methods and sample-level analyses resolved a cross-sectional epithelial axis extending from acinar-rich to malignant tissue. Five trajectory algorithms recovered similar ordering on a shared embedding; their consensus was interpreted as transformation-associated, not temporal or clonal. Malignant regions were globally segregated from fibroblast and myeloid compartments. Signed- distance analysis refined this pattern into a malignant core, a CAF/myeloid surround beginning at the tumour boundary and a more distal lymphoid compartment. Candidate extracellular-matrix communication, led by COLLAGEN, LAMININ and FN1, concentrated at the interface. Changes were reproduced in six patient-matched Normal-tumour pairs using exact patient-level tests. Visium HD resolved the same organization at single-cell resolution and showed that 8-um bins distorted immune-adjacency estimates. Xenium also revealed recurrent neighbourhoods but sample-specific stromal boundaries. We provide a confound-aware framework for identifying recurrent epithelial and microenvironmental organization in PDAC.

cancer biology↗

bioRxiv2019

Spectro-thermodynamics and molecular docking analysis of abiraterone and its binding to calf thymus DNA

Binding of toxic ligands to DNA could result in undesirable biological processes, such as carcinogenesis or mutagenesis. Binding mode of Abiraterone (ABR), a steroid drug and ctDNA(calf thymus DNA was investigated in this study using fluorescence and ultraviolet-visible spectroscopy. The probable prediction of binding and the type of interaction forces involved in the arrangement between ABR and ctDNA were explored through spectroscopic and molecular docking studies. The results indicated the binding of ABR to ctDNA in the minor groove. The binding constants were in the range of 1.35 x 106 - 0.36x 106 L mol-1 at the studied temperatures. Fluorescence and spectrophotometric data suggested static quenching between ctDNA and ABR The endothermic values of thermodynamic parameters {Delta}H = -82.8 kJ mol-1; {Delta}S = - 161 J mol-1 K-1 suggested that hydrogen bonding is the main force involved in binding ctDNA and ABR. In experimental studies the free binding energy at 298K was -34.9 kJ mol-1 with the relative binding energy {approx} -29.65 kJ mol-1 of docked structure. The Ksv obtained for ABR-KI was similar to that for ABR-ctDNA -KI demonstrating no protection by ctDNA against quenching effect of KI. Thus, suggesting involvement of groove binding between ABR and ctDNA. No change in the fluorescence intensity of ABR-ctDNA was observed in presence of NaCl. Thus, ruling out the involvement of electrostatic interaction. These studies could serve as new insights in understanding the mechanisms of toxicity, resistance and side effects of ABR.

cancer biology↗

bioRxiv2025

Functional genomics and tumor microenvironment analysis reveal prognostic biological subtypes in Mantle cell lymphoma

Mantle cell lymphoma (MCL) is a genetically and clinically heterogeneous B-cell malignancy. We studied two MCL cohorts with differing treatment patterns: one enriched for immunochemotherapy, the other for chemotherapy alone. TP53 alterations were consistently associated with poor prognosis, whereas ATM mutations correlated with improved outcomes following rituximab-based chemotherapy. Based on recurrent genetic events, six clusters were identified and refined into three prognostic groups: high-risk (TP53 mutations and deletions at 17p13.3, 13q14.2, and 19p13.3), intermediate-risk (ATM and epigenetic regulator mutations, or gains at 8q/17q/15q), and low-risk (lacking TP53 alterations, rare ATM mutations without 11q deletions, gains at 3q, deletions at 6q). Transcriptomic analysis revealed enrichment of proliferation, metabolism-promoting gene signatures in high-risk; angiogenesis and NOTCH signaling in intermediate-risk; and proinflammatory-related (i.e., IFN, TNF) in low-risk MCLs. Multi-proteomic spatial profiling using imaging mass cytometry (IMC) demonstrated enrichment of CD8 T cells with high expression of exhaustion markers and dominant population of myeloid cells skewed toward an M2-like phenotype. Compared to ATM-perturbed tumors, TP53-perturbed tumors exhibited enriched SOX11 tumor cells and enhanced tumor-immune cell interactions. Functional analysis revealed that p53 represses BCR signaling through PTPN6 activation. Collectively, these findings highlight distinct molecular and immune landscapes and reveal therapeutic vulnerabilities in high-risk TP53-altered MCL.

cancer biology↗

bioRxiv2026

A lenvatinib-resistance-derived transcriptional program identifies metabolic identity remodeling associated with unfavorable survival in hepatocellular carcinoma

Background: Metabolic adaptation is a recognized feature of therapeutic resistance in hepatocellular carcinoma (HCC), but it is unclear whether transcriptional states exposed during acquired resistance are restricted to drug adaptation or reflect broader aggressive tumor biology. We tested whether metabolic programs derived from a lenvatinib-resistance model identify a clinically adverse transcriptional state in an independent HCC patient cohort. Methods: The discovery framework was based on GSE186191, comprising parental and acquired lenvatinib-resistant Hep3B and Huh7 cells. A pre-specified 33-gene lipid-source ledger served as a biological anchor, and three discovery-derived programs, MYC Targets V2, mTORC1 Signaling, and Fatty Acid Metabolism, were frozen before patient-level evaluation. In TCGA-LIHC, single-sample enrichment scores for the three programs were population-standardized and summed to generate an integrated metabolic score. Overall survival was assessed by Kaplan-Meier and Cox analyses. Whole-transcriptome differences between high- and low-score tumors were characterized by preranked gene set enrichment analysis (GSEA). Results: The survival cohort comprised 282 patients (118 deaths), with 141 patients in each median-defined score group. High-score patients had shorter overall survival (log-rank P=0.000419). The continuous score was associated with mortality in univariable analysis (HR 1.86, 95% CI 1.33-2.61; P=0.000293) and in the frozen model adjusted for age, sex, and stage indicators (HR 1.93, 95% CI 1.35-2.76; P=0.000350; n=277). In 327 primary tumors, Fatty Acid Metabolism was strongly depleted in high-score tumors (NES -2.06; FDR<0.001). MYC Targets V2 (NES 1.18; FDR=0.232) and mTORC1 Signaling (NES 1.11; FDR=0.229) showed positive directional enrichment without FDR significance. Conclusions: A lenvatinib-resistance-derived transcriptional program is associated with an adverse-survival state in HCC. The strongest patient-level pathway feature is depletion of canonical fatty-acid metabolism, accompanied by directional MYC/mTORC1 features rather than statistically established pathway activation. These findings support a testable model of metabolic identity remodeling but do not establish causality or clinical prediction of lenvatinib response.

cancer biology↗

bioRxiv2021

Cell geometry distinguishes migration-associated heterogeneity in two-dimensional systems

BackgroundIn vitro migration assays are a cornerstone of cell biology and have found extensive utility in research. Over the past decade, several variations of the two-dimensional (2D) migration assay have improved our understanding of this fundamental process. However, the ability of these approaches to capture the functional heterogeneity during migration and their accessibility to inexperienced users has been limited. MethodsWe downloaded published time-lapse 2D cell migration datasets and subjected them to feature extraction with the Fiji software. We used the Analyze Particles tool to extract ten cell geometry features (CGFs), which were grouped into shape, size and position descriptors. Next, we defined the migratory status of cells using the MTrack2 plugin. All data obtained from Fiji were further subjected to rigorous statistical analysis with R version 4.0.2. ResultsWe observed consistent associative trends between size and shape descriptors and validated the robustness of our observations across four independent datasets. We used these descriptors to resolve the functional heterogeneity during migration by identifying and characterizing non-migrators (NM) and migrators (M). Statistical analysis allowed us to identify considerable heterogeneity in the NM subset, that has not been previously reported. Interestingly, differences in 2D-packing appeared to affect CGF trends and heterogeneity of the migratory subsets for the datasets under investigation. ConclusionWe developed an analytical pipeline using open source tools, to identify and morphologically characterize functional migratory subsets from label-free, time-lapse migration data. Our quantitative approach identified a previously unappreciated heterogeneity of non-migratory cells and predicted the influence of 2D-packing on migration.

cancer biology↗

bioRxiv2024

Conditional c-MYC activation in catecholaminergic cells drives distinct neuroendocrine tumors: neuroblastoma vs somatostatinoma

The MYC proto-oncogenes (c-MYC, MYCN, MYCL) are among the most deregulated oncogenic drivers in human malignancies including high-risk neuroblastoma, 50% of which are MYCN-amplified. Genetically engineered mouse models (GEMMs) based on the MYCN transgene have greatly expanded the understanding of neuroblastoma biology and are powerful tools for testing new therapies. However, a lack of c-MYC-driven GEMMs has hampered the ability to better understand mechanisms of neuroblastoma oncogenesis and therapy development given that c-MYC is also an important driver of many high-risk neuroblastomas. In this study, we report two transgenic murine neuroendocrine models driven by conditional c-MYC induction in tyrosine hydroxylase (Th) and dopamine {beta}-hydroxylase (Dbh)-expressing cells. c-MYC induction in Th-expressing cells leads to a preponderance of Pdx1+ somatostatinomas, a type of pancreatic neuroendocrine tumor (PNET), resembling human somatostatinoma with highly expressed gene signatures of {delta} cells and potassium channels. In contrast, c-MYC induction in Dbh-expressing cells leads to onset of neuroblastomas, showing a better transforming capacity than MYCN in a comparable C57BL/6 genetic background. The c-MYC murine neuroblastoma tumors recapitulate the pathologic and genetic features of human neuroblastoma, express GD2, and respond to anti-GD2 immunotherapy. This model also responds to DFMO, an FDA-approved inhibitor targeting ODC1, which is a known MYC transcriptional target. Thus, establishing c-MYC-overexpressing GEMMs resulted in different but related tumor types depending on the targeted cell and provide useful tools for testing immunotherapies and targeted therapies for these diseases.

cancer biology↗

bioRxiv2018

GnasR201C Induces Murine Pancreatic Cystic Neoplasms through Suppression of YAP1 Signaling and Transcriptional Reprogramming

Background & AimsSomatic \"hotspot\" mutations of GNAS, which encodes for the alpha subunit of stimulatory G-protein, are present in ~60% of intraductal papillary mucinous neoplasms (IPMNs) of the pancreas. There are currently no cognate animal models that recapitulate the biology of mutant Gnas-induced IPMNs, and the underlying mechanisms that lead to the cystic pathway of neoplasia in the pancreas remain unknown.\n\nMethodsWe generated p48-Cre; LSL-KrasG12D; Rosa26R-LSL-rtTA-TetO-GnasR201C mice (Kras; Gnas mice) where pancreas-specific GnasR201C expression was induced by doxycycline administration. In this model, mutant Kras is constitutively expressed, and control mice were produced through absence of doxycycline. Separate cohorts of mice were utilized for timed necropsies and for Kaplan-Meier survival analysis. Isogenic cell lines (with doxycycline inducible mutant Gnas expression) were propagated from the resulting pancreatic ductal adenocarcinoma (PDAC).\n\nResultsCo-expression of KrasG12D and GnasR201C resulted in the development of pancreatic cystic lesions resembling human IPMNs in 100% of mice, with higher grades of epithelial dysplasia observed over time. Approximately one-third of Kras; Gnas mice developed PDAC at a median of 38 weeks post doxycycline induction. GnasR201C did not accelerate oncogenic transformation with KrasG12D, but rather, reprogrammed Ras-induced neoplasms towards a well-differentiated phenotype. GnasR201C induction led to activation of the inhibitory Hippo kinase cascade and cytoplasmic sequestration of phosphorylated YAP1 protein, a phenomenon that was also observed in human IPMN with GNAS mutations.\n\nConclusionsGNASR201C functions not as a traditional oncogene, but rather as an \"oncomodulator\" of KRAS-mediated pancreatic neoplasia, through suppression of YAP1 and transcriptional reprogramming towards a differentiated (large ductal) phenotype.

cancer biology↗

bioRxiv2018

Knockdown of DGKZ induces apoptosis andG2/M phase arrest in human acute myeloid leukemia HL-60 cells

Diacylglycerol kinase zeta (DGKZ) is associated with the pathogenesis of a variety of malignant diseases, but its biological function on acute myeloid leukemia (AML) has not been explored. This study was aimed to analyze apoptosis induced by Knockdown of DGKZ and its mechanism in human acute myeloid leukemia HL-60 cells.In the present study qRT-PCR was used to detect the expression of DGKZ in HL-60, THP-1, K562, H9, Jurkat and CD34 cell lines. DGKZ-shRNA lentiviral vector was established and used to infect acute myeloid leukemia HL-60 cells. Cell Counting Kit-8 (CCK-8) assay was used to determine the viability of HL-60 cells DGKZ knocked down. Apoptosis and cell cycle phase of HL-60 cells after DGKZ knockdown were evaluated by flow cytometry. Western blot analysis was performed to investigated the protein expression related to apoptosis and cell cycle. Results showed DGKZ expression were stable and higher in Jurkat, HL-60, THP-1,K562 leukemia cells than those of H9 and CD34 cells. Compared with cells of the shCtrl group, DGKZ was markedly knocked down in cells which were transfected with lentivirus encoding shRNA of DGKZ in HL-60 cells. DGKZ knockdown significantly inhibited the proliferation and induced cycle arrest at the G2/M phase in HL-60 cells. Western blot results indicated the expressions of caspase-3, caspase-8, and survivin markedly increased in HL-60 cells after knockdown of DGKZ. The results suggest Knockdown of DGKZ can inhibit proliferation of acute myeloid leukemia HL-60 cell caused cell cycle arrest at the G2/M phase through caspases pathway.

cancer biology↗

bioRxiv2020

RNA splicing alterations induce a cellular stress response associated with poor prognosis in AML

RNA splicing is a fundamental biological process that generates protein diversity from a finite set of genes. Recurrent somatic mutations of splicing factor genes are relatively uncommon in Acute Myeloid Leukemia (AML, < 20%). We examined whether RNA splicing differences exist in AML even in the absence of splicing factor mutations. Analyzing RNA-seq data from two independent cohorts of AML patients, we identified recurrent differential alternative splicing between patients with poor and good prognosis. These alternative splicing events occurred even in patients without any discernible splicing factor mutations. The alternative splicing events recurrently occurred in genes involved in specific molecular functions, primarily related to protein translation. Developing informatics tools to predict the functional impact of alternative splicing on the translated protein, we discovered that ~45% of the splicing events directly affected highly conserved protein domains. Several splicing factors were themselves misspliced in patients, and the splicing of their target transcripts were also altered. By studying differential gene expression in the same patients, we identified that alternative splicing of protein translation genes in ELNAdv patients resulted in the induction of an integrated stress response and up- regulation of inflammation-related genes. Lastly, using machine learning techniques, we identified a set of four genes whose alternative splicing can refine the accuracy of existing risk prognosis schemes and validated it in a completely independent cohort. Our discoveries therefore identify aberrant alternative splicing as a molecular feature of adverse AML with clinical relevance.

cancer biology↗

bioRxiv2025

Lysine lactylation regulates ATF4-mediated stress responses under glucose starvation in canine hemangiosarcoma

Hemangiosarcoma (HSA) is a malignant endothelial tumor that occurs frequently in dogs but is rare in other species including humans. Due to its aggressive behavior and limited therapeutic options, patient prognosis is generally poor. Tumor cells produce excess lactate via anerobic glycolysis, and it regulate gene expressions through histone lactylation in response to cellular metabolic conditions. However, how histone lactylation affects biological behavior under glucose-limited conditions in HSA remains unknown. Here, we established canine HSA cell lines and patient-derived xenograft models and investigated the role of histone lactylation during glucose deprivation. HSA cells exhibited higher global histone lactylation levels than normal endothelial cells. Although glucose restriction reduced global histone lactylation levels, Cleavage Under Targets and Tagmentation (CUT&Tag) analysis revealed enrichment of lactylation peaks at transcription-start sites (TSSs) of ATF4-regulated stress-response, asparagine biosynthesis and immune-related genes. TSSs of stress-response genes were co-occupied with RNA polymerase II phosphorylated at serine 5 and showed increased gene expressions, suggesting that lactylation at TSSs activated transcription under glucose-deprived conditions. [U-13C]glutamine tracing indicated that HSA cells synthesized asparagine from glutamine when glucose was scarce. Asparagine supplementation modestly activated cell proliferation. In HSA patient tissues, H3K18la levels were heterogeneous, and M2-like macrophages preferentially infiltrated tumor regions showing low histone lactylation levels. Consistently, glucose-starved HSA cells attracted macrophages and induced M2-like polarization in vitro. These findings demonstrate that lysine lactylation, possibly histone lactylation, persists even under glucose-deprived conditions and regulate transcription that supports tumor cell survival and fosters a pro-tumor microenvironment. One Sentence SummaryLysine lactylation is enriched at TSSs of stress-response genes under glucose starvation and associated with their transcription in canine hemangiosarcoma.

cancer biology↗

bioRxiv2024

Microenvironment T-Type calcium channels regulate neuronal and glial processes to promote glioblastoma growth

BackgroundGlioblastoma (GBM) is the most common primary malignant brain tumor. The aim of this study was to elucidate the role of microenvironment and intrinsic T-type calcium channels (Cav3) in regulating tumor growth and progression. MethodsWe grafted syngeneic GBM cells into Cav3.2 knockout mice to assess the role of microenvironment T-Type calcium channels on GBM tumor growth. We performed single-cell RNA-seq (scRNA-seq) of tumors from WT and Cav3.2 KO mice to elucidate the regulation of tumors by the microenvironment. We used neurons from WT and Cav3.2 KO mice in co-culture with GBM stem cells (GSC) to assess the effects of Cav3.2 on neuron/GSC synaptic connections and tumor cell growth. ResultsCav3.2 KO in the microenvironment led to significant reduction of GBM growth and prolongation of animal survival. scRNA-seq showed that microenvironment Cav3.2 regulates neuronal and glial biological processes. Microenvironment Cav3.2 downregulated numerous genes associated with regulating the OPC cell state in GBM tumors such as SOX10 and Olig2. Neuronal Cav3.2 promoted neuron/GSC synaptic connections and GSC growth. Treatment of GSCs with the Cav3 blocker mibefradil downregulated genes associated with neuronal processes. The Cav3 blocker drug mibefradil synergized with temozolomide (TMZ) and radiation to reduce in vivo tumor growth and prolong animal survival. ConclusionsTogether these data reveal a role for microenvironment Cav3 in promoting GBM tumor progression through regulating neuronal and glial processes particularly associated with the OPC-cell state. Targeting both intrinsic and microenvironment Cav3 with the inhibitor mibefradil significantly enhanced the anti-GBM effects of TMZ and radiation. Key PointsO_LIMicroenvironment Cav3.2 promotes GBM progression C_LIO_LIMicroenvironment Cav3.2 promotes neuronal and glial processes C_LIO_LIPharmacological targeting of intrinsic and microenvironment Cav3 synergizes with TMZ/radiation C_LI Importance of the StudyIn this study, we demonstrate for the first time that microenvironment Cav3.2 contributes to GBM progression and growth by regulating neuronal and glial processes. Our findings highlight the importance of T-type calcium channels in the microenvironment as well as the tumor and provides preclinically relevant data for the use of mibefradil to inhibit GBM growth in combination with standard of care therapies.

cancer biology↗

bioRxiv2025

Conserved Neuronal-like and Secretory Programs Define the Spatial Architecture of Gastroenteropancreatic Neuroendocrine Tumors

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are clinically heterogeneous malignancies whose biology and microenvironmental organization remain poorly understood. Here, we integrated single-nucleus multiomic (snRNA-seq and snATAC-seq) and spatial transcriptomic profiling across 38 well-differentiated pancreatic (pNET) and small-intestinal (siNET) tumors to define conserved malignant programs, their regulatory circuits, and spatial niches. We observed two conserved malignant cell programs spanning a continuous transcriptional spectrum: a neuronal-like program (si-cNMF1/p-cNMF1), and a secretory neuroendocrine program (si-cNMF2/p-cNMF2). Matched chromatin accessibility profiles uncovered distinct, tissue-specific regulatory networks, including MAX::MYC and MITF transcription factor binding motifs in siNETs versus ISL1 and TFAP4 in pNETs, indicating organ-specific epigenetic control. Spatial transcriptomic analyses revealed that si/p-cNMF1-high regions localized to high cell density, immune-rich tumor areas, whereas si/p-cNMF2-high regions occupied stromal and vascularized niches and co-occured with fibroblast and endothelial compartments enriched for TGFB1-ITGB1, VEGFA-FLT1, and LAMA2-ITGA1 signaling. Across both tumor types, the cNMF2 program was enriched in metastatic lesions and was enrichedfor pro-fibrotic and pro-angiogenic gene signatures. Thus, GEP-NETs are organized along a conserved neuronal-to-secretory axis defined by distinct epigenetic programs and spatially coupled to specific microenvironmental niches. This framework unifies NET heterogeneity across organ sites and identifies pathway-specific, microenvironment-linked vulnerabilities for therapeutic targeting.

cancer biology↗