Biology subjects

Huse, J. T.

Publications and source records attributed to Huse, J. T..

At least 19 recordsLinked to original sources

bioRxiv2026

A modular generalist-specialist AI framework for ROI selection across spatial profiling workflow

Selection of regions of interest (ROIs) is often a crucial step in spatial molecular profiling and many pathology tasks, with substantial implications for research reproducibility and biological interpretability. To provide a reproducible and adaptive framework for AI-guided ROI selection, we developed a modular generalist-specialist solution across spatial profiling platforms. In a cohort comprising 55 tumor types from 160 tissue donors profiled using NanoString Digital Spatial Profiling and multiplex immunofluorescence, we first established a protein-profiling reference atlas capturing compartment-specific immune, checkpoint, stromal, and proliferation patterns. We then developed an AI Specialist Task-Oriented Model for ROI Selection (ASTROS) and tested comprehensive benchmarks considering specialist-only (ASTROS), generalist-only (PLIP/GFM), and hybrid generalist-specialist strategies, showing that the latter provides a balanced tradeoff across slide-level signal preservation, pathologist-reference concordance, within-slide placement consistency, and large-slide computational efficiency. We further demonstrated the feasibility of virtual staining for ROI preview and modular ROI placement for other spatial omics technologies, Visium and Visium HD workflows. Together, these results support our proposed framework to enable ROI selection responding to unmet needs for reducing inter-rater variability, reproducibility, and versatility in spatial profiling experiments.

pathology↗

bioRxiv2026

Multi-Omics Study of Ancestry in Adults with Intracranial Cancers Glioma (MOSAIC)

BackgroundMost genomic studies of adult-type diffuse gliomas have focused on predominantly European ancestry populations, limiting the generalizability of molecular classifications and precision medicine approaches. We assembled a multi-institutional glioma cohort of diverse patients to investigate how germline ancestry, molecular subtypes, and mutational processes shape tumor biology and clinical outcomes. MethodsWe analyzed 1,102 adults with WHO 2021-classified diffuse gliomas (IDH-mutant, 1p/19q-codeleted oligodendroglioma; IDH-mutant astrocytoma; IDH-wildtype glioma) from seven U.S. institutions. Whole-exome sequencing (WES) of FFPE tumors identified somatic alterations and COSMIC SBS v3.2 mutational signatures. Genetic ancestry was estimated from WES using 1000 Genomes reference populations. Overall survival was assessed using Kaplan-Meier and multivariable models. ResultsThe cohort included 66.9% European (EUR), 21.1% Admixed American/Hispanic (AMR), 10.3% Admixed African (AFR), and 1.6% Asian (AS) ancestry. Survival followed expected molecular hierarchy (median overall survival: oligodendroglioma 15.7 years, astrocytoma 10.6 years, IDH-wildtype glioma 1.9 years). Within oligodendroglioma, AMR patients showed improved survival versus EUR (HR 0.67, 95% CI 0.48-0.94; p=0.011), with similar trends across subtypes. Somatic profiling confirmed canonical subtype-defining alterations and revealed higher ATRX alterations in AFR and AMR IDH-wildtype tumors compared with EUR. ATRX alterations were associated with improved survival only in AFR (p=0.003). Mutational signature analysis identified subtype-specific signatures, including therapy-associated signatures. Chemotherapy-related signatures were more frequent in EUR and AMR than in AFR. ConclusionsThis ancestrally diverse glioma cohort confirms established molecular classifications and identifies ancestry-associated differences in survival, somatic alterations, and mutational processes, indicating the critical need for broad representation to inform precision neuro-oncology. Key PointsO_LIA multi-institutional glioma cohort validates subtype and survival patterns across ancestries. C_LIO_LITherapy-associated mutational signatures differ by ancestry, suggesting distinct treatment-related mutational processes. C_LIO_LIAdmixed American patients show improved survival, particularly in oligodendroglioma. C_LI Importance of the StudyMost genomic studies of adult-type diffuse glioma have focused on populations of predominantly European ancestry which limits the ability to examine variation in tumor biology and clinical outcomes across populations. In this study, we assembled one of the largest ancestrally diverse cohorts of molecularly characterized adult diffuse gliomas, integrating germline ancestry inference with tumor whole-exome sequencing and mutational signature analysis. We confirm that established molecular classifications and survival hierarchies remain robust across ancestry groups. However, we also identified ancestry-associated differences in survival within specific tumor subtypes, higher ATRX alteration frequencies in African American and admixed American patients with IDH-wildtype tumors, and variation in therapy-associated mutational signatures across ancestry groups. These findings highlight the importance of incorporating population differences into genomic studies of glioma and provide a resource for future multi-ancestry investigations of glioma risk, tumor evolution, and treatment response, ultimately supporting more inclusive precision neuro-oncology.

bioinformatics↗

bioRxiv2026

Single-Cell Atlas of Renal Cell Carcinoma Brain Metastasis Uncovers Mechanisms of Immune Dysfunction and Resistance

Brain metastasis (BM) in renal cell carcinoma (RCC) remains poorly understood and often resistant to immune checkpoint inhibitors. We generated a large single-nucleus RNA-seq data of RCC BM, profiling 14 BM samples alongside matched extracranial metastases and primary tumors. Tumor cells in BM displayed neuronal infiltration, neural-like adaptation, and marked remodeling of the microenvironment, including expansion of immunosuppressive myeloid cells and depletion of antigen-presenting dendritic cells. Tumor, immune, and stromal cells exhibited metabolic rewiring characterized by fatty-acid metabolism, oxidative phosphorylation, and MYC-driven programs. CD8 T cells showed terminal exhaustion and impaired proliferative capacity, and tertiary lymphoid structures were absent. Spatial profiling of 12 BM samples (13,128 cells) validated key cellular interactions, while ligand-receptor analysis revealed immunoregulatory circuits between tumor, stromal, and immune cells. These findings define BM-specific adaptations that promote immune evasion and resistance, revealing therapeutic vulnerabilities in RCC BM. SIGNIFICANCESingle-nucleus RNA-sequencing profiling reveals tumor, immune, and metabolic adaptations in renal cell carcinoma (RCC) brain metastases, including neuroglial remodelling and immunosuppressive niche formation. These findings identify immune evasion mechanisms that could contribute to therapeutic resistance, providing new avenues for site-specific therapeutic interventions to improve treatment efficacy and outcomes in patients with RCC BM.

cancer biology↗

bioRxiv2026

Deciphering the Genomic Landscape of Renal Cell Carcinoma Brain Metastases

Brain metastases from renal cell carcinoma (RCC) remain a major cause of morbidity and mortality, yet the genomic features associated with metastatic dissemination remain poorly understood. Whole-exome sequencing was performed on 72 RCC brain metastasis samples with matched normal. To identify candidate genomic alterations associated with brain metastasis, the genomic alterations detected in the brain metastases were compared against alterations in extracranial metastases from the MSK-ECM cohort (n=137) and primary RCC tumors from TCGA (n=432) by case-control analyses. Candidate alterations were also identified through matched-pair analyses comparing brain metastases with matched primary tumors or extracranial metastases from the same patient (n=25). A random survival forest model incorporating the candidate CNA events was developed to predict overall survival. The candidate CNAs were further evaluated using functional experimental data from MetMap and DepMap. Survival analyses were conducted to assess the prognostic relevance of these alterations. We identified recurrent CNAs enriched in RCC brain metastases, including 4q loss, 7p gain, 7q gain, 8p loss, 8q gain, 9p21.3 deletion, 12q15 amplification, and 14q loss. These alterations were associated with significantly poorer patient survival among RCC patients. A random survival forest model based on these CNA events stratified TCGA-KIRC patients into prognostically distinct risk groups (C-index = 0.64). Among the recurrent CNAs, 8p loss, 8q gain, 9p21.3 deletion were associated with increased incidence of brain metastases across multiple primary cancer types in xenograft mouse models. These alterations were also strongly associated with metastatic progression and poor prognosis across RCC, lung adenocarcinoma, breast cancer, and melanoma. These findings indicate a shared genomic basis for brain tropism and highlight the potential utility of copy-number alterations as biomarkers for risk stratification and clinical decision-making.

genetics↗

bioRxiv2026

Hypatia: a set of quantitative methods for profiling isoform across cell populations

High-throughput long-read single-cell RNA-sequencing enables isoform-level study across single cells, yet methods for systematically assessing cell-to-cell variations remain limited. Here, we develop Hypatia, a comprehensive platform for dissecting isoform complexities across cell populations, devising Tsallis entropy and Cramers V to facilitate robust comparative profiling. Hypatia revealed prominent isoform species variations and usage shifts across cell-types in glioblastoma, renal cell carcinoma, and heart, highlighting clinically relevant applications for studying isoform-derived, cell-specific functions.

bioinformatics↗

bioRxiv2025

ATRX Loss Predicts Poor Outcomes and Reveals a Therapeutic Vulnerability to TEAD Inhibition in Soft Tissue Sarcomas

ATRX is one of the most frequently altered genes in sarcoma and encodes an ATP-dependent chromatin remodeler implicated in maintaining heterochromatin. However, ATRX alterations have not been leveraged for sarcoma treatment. We observed loss of ATRX protein in 14% of soft tissue leiomyosarcoma (STLMS, n =127), 53% of uterine leiomyosarcoma (ULMS, n = 95), 37% of undifferentiated pleomorphic sarcoma (UPS, n = 82), and 8% of dedifferentiated liposarcoma (DDLPS, n = 84). ATRX loss was associated with significantly worse outcomes in ULMS, UPS, and DDLPS. ATRX knockout in sarcoma cells increased proliferation in cooperation with TP53 deletion. ATRX knockout led to chromatin de-repression and enrichment of PRDM4 and NFIX transcription factor (TF) motifs. PRDM4 and NFIX knockdown in ATRX-mutant sarcoma lines resulted in reduced proliferation and invasion suggesting epistatic relationship. Consistent with the known functional relationship between PRMD4 and YAP1, we observed that ATRX/TP53 KO cells were more sensitive to the TEAD inhibitor VT103 compared to TP53 KO and ATRX WT controls. Overall, our results identify ATRX loss as a prognostic factor of worse outcomes, implicate the ATRX-PRDM4-YAP1 axis as a novel underlying mechanism, and suggest use of TEAD inhibition as a potential therapeutic strategy for ATRX-deficient sarcomas. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=45 SRC="FIGDIR/small/689992v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@a759ecorg.highwire.dtl.DTLVardef@100c580org.highwire.dtl.DTLVardef@1a675c9org.highwire.dtl.DTLVardef@17f1f91_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

A Network-Based Discovery of Prognostic Markers in Recurrent IDH wild-type Gliomas

BackgroundIsocitrate dehydrogenase wild-type (IDH wild-type) gliomas represents the most aggressive subtype of diffuse gliomas, characterized by therapeutic resistance and dismal prognosis. Despite advances in molecular classification, reliable prognostic biomarkers for these tumors remain limited, particularly for recurrent disease. This study aims to identify gene expression signatures associated with survival outcomes in recurrent IDH wild-type gliomas, with the goal of improving patient stratification and potential therapeutic targeting. MethodsWe analyzed gene expression data from 180 recurrent IDH wild-type glioma samples from the Glioma Longitudinal AnalySiS (GLASS) Consortium. Using multiple computational approaches including a novel network-based method (netSurvival) and various survival analysis techniques, we identified genes associated with patient survival outcomes. ResultsOur comprehensive analysis identify several gene expression markers that are significantly associated with survival outcomes in recurrent IDH wildtype gliomas. The AFT log normal model revealed that FN1, HIF3A, and EIF4B are associated with poorer survival (hazard ratios of 1.40, 1.49, and 1.54, respectively; p {inverted exclamation} 0.05), while PTK2, CCND2, RAD51L3 RFFL, and MAX demonstrated protective effects (hazard ratios of 0.76, 0.78, 0.79, and 0.79, respectively; p {inverted exclamation} 0.05). Five genes (KIF5C, LINC00632, B4GALNT3, HIF3A, and RAD51L3 RFFL) show significant differential expression between primary and recurrent tumors, with four having established functional roles in glioma pathobiology. ConclusionThis study identifies a panel of gene expression markers with significant prognostic value in recurrent IDH wild-type gliomas. The differential impacts of these genes on survival outcomes provide insights into the biological heterogeneity underlying clinical behavior in these aggressive tumors. Particularly significant are the biomarkers associated with both survival outcomes and recurrence patterns, which may represent key drivers of disease progression. These findings represent an important step toward improved prognostic stratification and therapeutic targeting in IDH wild-type gliomas, addressing a critical unmet need in neuro-oncology.

bioinformatics↗

bioRxiv2025

Tumor-initiating genetics and therapy drive divergent molecular evolution in IDH-mutant gliomas

Astrocytomas and oligodendrogliomas are slow-growing and treatment-sensitive IDH-mutant gliomas diagnosed at ages 30-50. Local tumor regrowth and treatment resistance is inevitable resulting in 3-10 year astrocytoma and up to >20 years oligodendroglioma survival. We sought to identify genetic changes associated with tumor evolution in response to therapy through multi-timepoint whole-genome/whole-exome sequencing of 206 IDH-mutant glioma patient samples collected through the Glioma Longitudinal Analysis (GLASS) Consortium. We validated known genomic markers of tumor progression, including hypermutation and CDKN2A homozygous deletion, and discovered novel genetic alterations that distinguish the response to treatment in astrocytomas compared to oligodendrogliomas. Point mutations in PIK3CA, PIK3R1, and NOTCH1 were newly acquired in recurrent oligodendrogliomas and associated with increased mutation rates. Focal oncogene amplifications, together with CDKN2A homozygous deletions, were associated with an increase in recurrence-specific chromosomal imbalances in astrocytomas. Mutational signature analysis revealed additional differences and detected enrichment for the SBS11, and SBS119 mutational signatures after temozolomide treatment in both IDH-glioma subtypes, whereas astrocytomas showed increased ID8 signatures after radiotherapy. These signatures suggest that the genomes of oligodendroglioma and astrocytoma adapt to the selective pressures of tumor progression and treatment in different ways. However, in both IDH-mutant glioma subtypes we observed a convergence of acquired driver gene alterations with genome-wide changes and worse patient outcomes, signaling selection of treatment-refractory clones. By identifying new prognostic markers and delineating the genomic divergence of oligodendrogliomas and astrocytomas after diagnosis, our results suggest that different DNA damage response mechanisms are engaged following chemo- and radiation therapy.

cancer biology↗

bioRxiv2025

Oncogenic drivers shape the tumor microenvironment in human gliomas

Gliomas are aggressive and heterogeneous brain tumors with limited treatment options. While oncogenic mutations in gliomas have been well-characterized, their impact on the tumor microenvironment remains poorly understood. To investigate how genomic alterations may influence the glioma microenvironment, we performed an integrative multiomic and spatial transcriptomic analysis of 93 glioma samples (46 IDH-mutant gliomas and 47 IDH-wildtype glioblastoma) from 69 patients representing both primary and recurrent stages. Using whole-genome sequencing, chromatin conformation capture (Hi-C), RNA-seq, and single-cell spatial transcriptomics (Xenium), we defined how major driver mutations influence spatial tumor organization. We found that IDH-mutant gliomas frequently harbored inflammatory microglia expressing CX3CR1 specifically within their astrocyte-like malignant neighborhoods. In contrast, glioblastomas demonstrated relatively higher T-cell infiltration and enrichment of immunosuppressive myeloid cell populations. We further compared glioblastomas harboring EGFR amplifications due to extrachromosomal DNA (ecDNA) amplifications versus linear chromosomal 7 gains. Tumors with EGFR ecDNA displayed increased presence of mesenchymal-like malignant cells, and higher interactions between pericytes and mesenchymal-like malignant cells, likely driven by hypoxia-associated vascular proliferation. Our findings reveal that the mode of oncogene amplification--linear versus ecDNA--shapes distinct tumor architectures and transcriptional dynamics. Taken together, our study highlights the role of oncogenic drivers in shaping the glioma microenvironment, revealing subtype-specific cellular ecosystems that could inform targeted therapeutic strategies.

genomics↗

bioRxiv2025

EXPRESSION GRAPH NETWORK FRAMEWORK FOR BIOMARKERDISCOVERY

AO_SCPLOWBSTRACTC_SCPLOWBiomarker discovery for complex diseases like cancer hinges on uncovering molecular signatures that capture intricate, interconnected relationships within biological data, a challenge that traditional statistical and machine learning methods often fail to meet due to the complexity of high-dimensional gene expression profiles. To overcome this, we introduce the Expression Graph Network Framework (EGNF), a cutting-edge graph-based approach that integrates graph neural networks (GNNs) with network-based feature engineering to enhance predictive biomarker identification. EGNF constructs biologically informed networks by combining gene expression data and clinical attributes within a graph database, utilizing hierarchical clustering to generate dynamic, patient-specific representations of molecular interactions. Leveraging graph learning techniques, including Graph Convolutional Networks (GCNs) and Graph Attention Networks (GATs), our framework identifies statistically significant and biologically relevant gene modules for classification. Validated across three independent datasets consisting of contrasting tumor types and clinical scenarios, EGNF consistently outperforms traditional machine learning models, achieving superior classification accuracy and interpretability. Notably, it delivers perfect separation between normal and tumor samples while excelling in nuanced tasks such as classifying disease progression and treatment outcome. This scalable, interpretable, and robust framework provides a powerful tool for biomarker discovery, with wide-ranging applications in precision medicine and the elucidation of disease mechanisms across diverse clinical contexts.

bioinformatics↗

bioRxiv2024

In Situ Single-Cell Spatial Profiling of Matrisome Gene Expression in Glioblastoma

The human brain contains a rich milieu of extracellular matrix (ECM) components that are often dysregulated in pathologies including the malignant cancer glioblastoma (GBM). Here, we have used in situ single-cell spatial transcriptomic platforms to map the expression patterns of nearly 400 ECM genes in normal brain and GBM samples. Our analysis identifies at least four different GBM cell populations with unique ECM expression profiles that show spatial enrichment in distinct intratumor regions. Spatial mapping also demonstrates largely non-overlapping expression signatures of various ECM components in GBM stromal cell types, particularly in vascular endothelial cells and reactive microglia/macrophages. Comparisons of GBM (IDH1 wild type) versus lower-grade II and III astrocytoma samples (IDH1 R132H) identifies differential expression of key ECM components, including elevated levels of select ECM glycoproteins (IGFBP2 and MGP) and ECM-affiliated proteins (ANXA1 and ANXA2). In addition, we detect spatially enriched expression of COL8A1 (collagen), LUM (proteoglycan), and POSTN (ECM glycoprotein) in perivascular stromal cells in GBM but not in lower grade tumors. Computational analysis of putative ligand-receptor interactions reveals novel ECM communication networks between cancer cells and stromal components, particularly in regions of GBM microvascular proliferation and pseudopalisading necrosis. In summary, this comprehensive spatial map provides new insights into microenvironmental control of GBM initiation and progression and identifies potential therapeutic targets in the ECM.

cancer biology↗

bioRxiv2023

Interplay between ATRX and IDH1 mutations governs innate immune responses in diffuse gliomas

Stimulating the innate immune system has been explored as a therapeutic option for the treatment of gliomas. Inactivating mutations in ATRX, defining molecular alterations in IDH-mutant astrocytomas, have been implicated in dysfunctional immune signaling. However, little is known about the interplay between ATRX loss and IDH mutation on innate immunity. To explore this, we generated ATRX knockout glioma models in the presence and absence of the IDH1R132H mutation. ATRX-deficient glioma cells were sensitive to dsRNA-based innate immune agonism and exhibited impaired lethality and increased T-cell infiltration in vivo. However, the presence of IDH1R132Hdampened baseline expression of key innate immune genes and cytokines in a manner restored by genetic and pharmacological IDH1R132H inhibition. IDH1R132H co-expression did not interfere with the ATRX KO-mediated sensitivity to dsRNA. Thus, ATRX loss primes cells for recognition of dsRNA, while IDH1R132H reversibly masks this priming. This work reveals innate immunity as a therapeutic vulnerability of astrocytoma.

cancer biology↗

bioRxiv2023

Triggering receptor expressed on myeloid cells 2 (TREM2) regulates phagocytosis in glioblastoma

Glioblastomas (GBMs) are tumors of the central nervous system that remain recalcitrant to both standard of care chemo-radiation and immunotherapies. Emerging approaches to treat GBMs include depletion or re-education of innate immune cells including microglia (MG) and macrophages (MACs). Here we show myeloid cell restricted expression of triggering receptor expressed on myeloid cells 2 (TREM2) across low- and high-grade human gliomas. TREM2 expression did not correlate with immunosuppressive pathways, but rather showed strong positive association with phagocytosis markers such as lysozyme (LYZ) and CD163 in gliomas. In line with these observations in patient tumors, Trem2-/- mice did not exhibit improved survival compared to wildtype (WT) mice when implanted with mouse glioma cell lines, unlike observations previously seen in peripheral tumor models. Gene expression profiling revealed pathways related to inflammation, adaptive immunity, and autophagy that were significantly downregulated in tumors from Trem2-/- mice compared to WT tumors. Using ZsGreen-expressing CT-2A orthotopic implants, we found higher tumor antigen engulfment in Trem2+ MACs, MG, and dendritic cells. Our data uncover TREM2 as an important immunomodulator in gliomas and inducing TREM2 mediated phagocytosis can be a potential immunotherapeutic strategy for brain tumors. Key pointsO_LITREM2 is not associated with immunosuppressive molecules in GBM C_LIO_LITREM2 is associated with phagocytosis in both human and mouse gliomas C_LIO_LIDeletion of Trem2 in mice does not improve survival in glioma models C_LI Importance of the studyTriggering receptor expressed on myeloid cells 2 (TREM2) has been implicated as a major immunoregulator in both neurodegenerative diseases and systemic cancers, yet its functional role in gliomas remains unclear. This study reveals that unlike in other cancers, TREM2 is not associated with immunosuppression in the glioma microenvironment. In fact, TREM2 expression is associated with phagocytosis in both human and mouse gliomas, similar to its role in Alzheimers disease. These findings indicate that TREM2 blockade will not be a viable treatment strategy for gliomas. Instead, TREM2 induction may boost the potential of myeloid cells in the tumor microenvironment to engulf cancer cells.

cancer biology↗

bioRxiv2023

Sirtuin 2 inhibition modulates chromatin landscapes genome- wide to induce senescence in ATRX-deficient malignant glioma

Inactivating mutations in ATRX characterize large subgroups of malignant gliomas in adults and children. ATRX deficiency in glioma induces widespread chromatin remodeling, driving transcriptional shifts and oncogenic phenotypes. Effective strategies to therapeutically target these broad epigenomic sequelae remain undeveloped. We utilized integrated mulit-omics and the Broad Institute Connectivity Map (CMAP) to identify drug candidates that could potentially revert ATRX-deficient transcriptional changes. We then employed disease-relevant experimental models to evaluate functional phenotypes, coupling these studies with epigenomic profiling to elucidate molecular mechanim(s). CMAP analysis and transcriptional/epigenomic profiling implicated the Class III HDAC Sirtuin2 (Sirt2) as a central mediator of ATRX-deficient cellular phenotypes and a driver of unfavorable prognosis in ATRX-deficient glioma. Sirt2 inhibitors reverted Atrx-deficient transcriptional signatures in murine neuroprogenitor cells (mNPCs) and impaired cell migration in Atrx/ATRX-deficient mNPCs and human glioma stem cells (GSCs). While effects on cellular proliferation in these contexts were more modest, markers of senescence significantly increased, suggesting that Sirt2 inhibition promotes terminal differentiation in ATRX-deficient glioma. These phenotypic effects were accompanied by genome-wide shifts in enhancer-associated H3K27ac and H4K16ac marks, with the latter in particular demonstrating compelling transcriptional links to Sirt2-dependent phenotypic reversals. Motif analysis of these data identified the transcription factor KLF16 as a mediator of phenotype reversal in Atrx-deficient cells upon Sirt2 inhibition. Finally, Sirt2 inhibition impaired growth and increased senescence in ATRX-deficient GSCs in vivo. Our findings indicate that Sirt2 inhibition selectively targets ATRX-deficient gliomas through global chromatin remodeling, while demonstrating more broadly a viable approach to combat complex epigenetic rewiring in cancer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=167 SRC="FIGDIR/small/523324v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1d1c7cborg.highwire.dtl.DTLVardef@19421fcorg.highwire.dtl.DTLVardef@433aaaorg.highwire.dtl.DTLVardef@1c07f72_HPS_FORMAT_FIGEXP M_FIG C_FIG One Sentence SummaryOur study demonstrates that SIRT2 inhibition promotes senescence in ATRX-deficient glioma model systems through global epigenomic remodeling, impacting key downstream transcriptional profiles.

cancer biology↗

bioRxiv2022

HepaCAM Suppresses Glioblastoma Stem Cell Invasion in the Brain

Glioblastoma (GBM) is a malignant brain cancer that contains sub-populations of highly invasive tumor cells that drive progression and recurrence after surgery and radiochemotherapy. The exact mechanisms that enable GBM cells to disperse from the main tumor mass and navigate throughout the brain microenvironment remain largely unknown. As a result, there is a lack of effective strategies to block cancer cell invasive growth in primary and recurrent GBM. Here we report that hepatocyte cell adhesion molecule (hepaCAM), which is normally expressed in perivascular astrocytes, plays central roles in controlling the invasive growth features of GBM cells. Genetically targeting HEPACAM induces a transition from GBM cell proliferation/self-renewal to invasion. Increased invasion is due, in part, to an activation of focal adhesion signaling pathways and enhanced GBM cell adhesion to the extracellular matrix (ECM) in the brain microenvironment. Transcriptional profiling of GBM cells reveals various HEPACAM-regulated genes with links to polarity and invasion. Collectively, these data show that hepaCAM balances ECM adhesion and signaling pathways to control cancer cell proliferation versus invasion in the brain parenchyma. Targeting select components of the hepaCAM pathway may be an effective way to block tumor progression and recurrence in patients with GBM.

cancer biology↗

bioRxiv2021

Longitudinal analysis of diffuse glioma reveals cell state dynamics at recurrence associated with changes in genetics and the microenvironment

To interrogate the factors driving therapy resistance in diffuse glioma, we collected and analyzed RNA and/or DNA sequencing data from temporally separated tumor pairs of 292 adult patients with IDH-wild-type or IDH-mutant glioma. Tumors recurred in distinct manners that were dependent on IDH mutation status and attributable to changes in histological feature composition, somatic alterations, and microenvironment interactions. Hypermutation and acquired CDKN2A deletions associated with an increase in proliferating stem-like malignant cells at recurrence in both glioma subtypes, reflecting active tumor growth. IDH-wild-type tumors were more invasive at recurrence, and their malignant cells exhibited increased expression of neuronal signaling programs that reflected a possible role for neuronal interactions in promoting glioma progression. Mesenchymal transition was associated with the presence of a specific myeloid cell state defined by unique ligand-receptor interactions with malignant cells. Collectively, our results uncover recurrence-associated changes that could be targetable to shape disease progression following initial diagnosis.

cancer biology↗

bioRxiv2019

Robust detection of oncometabolic aberrations by 1H-13C heteronuclear single quantum correlation in live cells and intact tumors ex-vivo

Extensive efforts have been made to use non-invasive 1H magnetic resonance (MR) spectroscopy to quantify metabolites that are diagnostic of specific disease states. Within the realm of precision oncology, these efforts have largely centered on quantifying 2-hydroxyglutarate (2-HG) in tumors harboring isocitrate dehydrogenase 1 (IDH1) mutations. As many metabolites have similar chemical shifts, the resulting 1H spectra of intact biological material are highly convoluted, limiting the application of 1H MR to high abundance metabolites. Hydrogen-Carbon Heteronuclear single quantum correlation 1H-13C HSQC is routinely employed in organic synthesis to resolve complex spectra but has received limited attention for biological studies. Here, we show that 1H-13C HSQC offers a dramatic improvement in sensitivity compared to one-dimensional (1D) 13C NMR and dramatic signal deconvolution compared to 1D 1H spectra in an intact biological setting. Using a standard NMR spectroscope without specialized signal enhancements features such as magic angle spinning, metabolite extractions or 13C-isotopic enrichment, we obtain well-resolved 2D 1H-13C HSQC spectra in live cancer cells, in ex-vivo freshly dissected xenografted tumors and resected primary tumors. We demonstrate that this method can readily identify tumors with specific genetic-driven oncometabolite alterations such as IDH mutations with elevation of 2-HG as well as PGD-homozygously deleted tumors with elevation of gluconate. These data support the potential of 1H-13C HSQC as a non-invasive diagnostic tool for metabolic precision oncology.

biophysics↗

bioRxiv2019

Methylthioadenosine is Not Dramatically Elevated in MTAP-Homozygous Deleted Primary Glioblastomas

In BriefThe co-deletion of MTAP in the CDKN2A locus is a frequent event in diverse cancers including glioblastoma. Recent publications report that significant accumulations of the MTAP substrate, methylthioadenosine (MTA), can sensitize MTAP-deleted cancer cells to novel inhibitors of PRMT5 and MAT2A for targeted therapy against tumors with this particular genetic alteration. In this work, using comprehensive metabolomic profiling, we show that MTA is primarily secreted, resulting in exceedingly high levels of extracellular MTA in vitro. We further show that primary human glioblastoma tumors minimally accumulate MTA in vivo, which is likely explained by the metabolism of MTA by MTAP-competent stromal cells. Together, these data challenge whether the metabolic conditions required for therapies to exploit vulnerabilities associated MTAP deletions are present in primary human tumors, questioning their translational efficacy in the clinic.\n\nHighlightsO_LIMethylthioadenosine (MTA) is elevated in MTAP-deleted cancer cells in vitro, which provides a selective vulnerability to PRMT5 and MAT2A inhibitors\nC_LIO_LIAccumulation of MTA in MTAP-deleted cancer cells is predominately extracellular, suggesting active secretion of MTA.\nC_LIO_LIMTAP-deleted primary human glioblastoma tumors show minimal intratumoral elevations of MTA, which is likely explained by secretion and metabolism by MTAP-competent stromal cells.\nC_LI\n\nSUMMARYHomozygous deletion of the CDK2NA locus frequently results in co-deletion of methylthioadenosine phosphorylase (MTAP) in many fatal cancers such as glioblastoma multiforme (GBM), resulting in elevations of the substrate metabolite, methylthioadenosine (MTA). To capitalize on such accumulations, therapeutic targeting of protein arginine methyltransferase 5 (PRMT5) and methionine adenosyl transferase (MAT2A) are ongoing. While extensively corroborated in vitro, the clinical efficacy of these strategies ultimately relies on equally significant accumulations of MTA in human tumors. Here, we show that in vitro accumulation of MTA is a predominately extracellular phenomenon, indicating secretion of MTA from MTAP-deleted cells. In primary human GBMs, we find that MTA levels are not significantly higher in MTAP-deleted compared to MTAP-intact tumors or normal brain tissue. Together, these findings highlight the metabolic discrepancies between in vitro models and primary human tumors and should thus be carefully considered in the development of the precision therapies targeting MTAP-homozygous deleted GBM.

cancer biology↗