Biology subjects

Sarkaria, J. N.

Publications and source records attributed to Sarkaria, J. N..

At least 19 recordsLinked to original sources

bioRxiv2026

Pharmacologic inhibition of OLIG2 by CT-179 disrupts mitotic progression and enhances standard-of-care chemoradiotherapy in glioblastoma

Background: Glioblastoma (GBM) remains uniformly fatal. The basic helix-loop-helix transcription factor OLIG2 is universally expressed in diffuse glioma, sustains the tumor-propagating stem-like fraction, and opposes p53-mediated genotoxic responses, but has historically been considered undruggable. We characterized CT-179, a brain-penetrant small-molecule OLIG2 inhibitor, as a candidate therapeutic for GBM. Methods: Target engagement was assessed by cellular thermal shift assay, differential scanning fluorimetry, crosslinking, and electrophoretic mobility shift assay. Anti-tumor activity was evaluated across eleven patient-derived GBM cell lines, in zebrafish oligodendrocyte precursor cell (OPC)-derived tumors, and orthotopic and subcutaneous GBM models, including combinations with radiotherapy plus temozolomide and with selective Bcl-2 family inhibitors. Results: CT-179 engaged OLIG2 and altered the conformation of dimerized OLIG2 on chromatin without preventing dimerization or fully displacing OLIG2 from DNA. CT-179 reduced OLIG2-positive OPCs and OPC-derived tumors in zebrafish and inhibited proliferation across all eleven GBM lines (IC50 < 360 nM), depleting the stem-like fraction and inducing apoptosis through mitotic catastrophe, mitotic slippage, or a hybrid response. RNA-seq across three patient-derived glioma stem cell lines identified {beta}-tubulin gene isoforms as the most strongly CT-179-down-regulated transcripts at the early time point and showed correlated {beta}-tubulin and OLIG2 expression in TCGA glioblastoma specimens. Combination with the Mcl-1 inhibitor S63845 or the Bcl-2/Bcl-xL/Bcl-w inhibitor ABT-737 produced greater-than-additive cytotoxicity. Oral CT-179 crossed the blood-brain barrier and extended median survival as a single agent across two independent adult orthotopic patient-derived backgrounds (GBM8 and G06); intraperitoneal CT-179 was associated with reduced intratumoral OLIG2 and Ki-67 staining in GBM8 orthotopic xenografts. Combination of CT-179 with radiotherapy and temozolomide eliminated all GBM8 and 7 of 8 GBM4 subcutaneous xenografts without weight loss and significantly extended survival when combined with radiotherapy in MGMT-unmethylated GBM6 orthotopic xenografts (CT-179 administered intraperitoneally). Conclusions: CT-179 is a brain-penetrant inhibitor of an established GBM driver with single-agent and combination activity across several orthotopic models, supporting clinical development for GBM and translational evaluation in other OLIG2-dependent CNS malignancies.

cancer biology↗

bioRxiv2026

Approaches to optimize cell internalization and in vivo tumor homing by aptamer-drug conjugates using SELEX

Glioblastoma (GBM) is the most common primary malignant brain tumor and is typically fatal. GBM therapies are hindered by the impermeability of the blood brain barrier (BBB), the diffuse and infiltrative nature of the tumor, and the high heterogeneity of intratumoral GBM cells. Aptamers are short, synthetic, folded single strands of RNA or DNA or analogs that bind targets with high affinity and specificity. Aptamers are developed via the principles of natural selection, permitting an unbiased approach to therapeutic development. Thus, rather than using rational design to select a target and develop a targeting moiety, cycles of Systematic Evolution of Ligands by Exponential Enrichment (SELEX) are employed in cell culture or in vivo to identify aptamers against unknown targets. Antibody drug conjugates (ADCs) have shown some efficacy for GBM but are limited by their large size and thus depend on leakiness of the BBB. We have recently applied in vivo SELEX to develop anti-GBM aptamers (six-fold smaller in mass than IgG antibodies) and to select aptamer-drug conjugates. Here we report attempts to focus aptamer selection toward internalizing drug-delivery targets and resulting challenges involving loss of tumor specificity in vivo.

biochemistry↗

bioRxiv2026

Expanding Microgel Parameters to Model the Tumor Microenvironment and Examine Temozolomide Resistance in Glioblastoma

Glioblastoma (GBM) is a highly aggressive brain tumor with a five-year survival rate of less than 5%. The current standard of care established 20 years ago includes maximal surgical resection and administration of alkylating agent temozolomide (TMZ). GBM is highly invasive, and GBM cells that evade surgical resection can become resistant to TMZ and develop new aggressive secondary tumors. Post-relapse there are few treatment options available to patients. Tissue engineering approaches suggest the opportunity to develop in vitro models of the GBM tumor microenvironment that may accelerate the discovery of novel therapies for GBM. Here, we report the adaptation of hydrogel microdroplets (microgels) to encapsulate GBM cells in a tailorable 3D matrix to assess patters of growth and to screen TMZ drug response using patient-derived xenograft (PDX) specimens. We exploit a unique aspect of the microgel system to account for the cellular heterogeneity within the tumor microenvironment (TME). We combine cell-laden microgels generated from TMZ-resistant and TMZ responsive variants of the same PDX specimens to create heterogeneous populations with varying levels of drug sensitivity. We demonstrate a range of drug resistance phenotypes as a function of the ratio of TMZ-responsive to resistance cells and identify the population required for TMZ-resistance to overtake take the response. We then investigate the influence of tumor mimetic shifts in hyaluronic acid bioavailability and hypoxia on patterns of TMZ resistance. We show exposure to matrix-bound hyaluronan increases TMZ resistance and the glioma stem cell population in both cell variants. Lastly, we report an increase in TMZ sensitivity but divergent changes in the GSC subfraction for TMZ resistant vs responsive GBM in the presence of hypoxia. Together, we demonstrate the versatility of cell-laden microgel approach to replicate heterogenous tumor populations, model shifts in the tumor microenvironment, and rapidly screen therapeutic response.

bioengineering↗

bioRxiv2026

Biomimetic model for the identification of distinctive microenvironmental factors in glioblastoma radiosensitivity

Radiation therapy (RT) has long been included in the treatment of glioblastoma (GBM). However, radioresistance in cancer cells as well as toxicity in normal tissues are major obstacles to clinical efficacy. Improved understanding of the mechanisms of tumor microenvironment-induced radioresistance during and after radiation therapy can provide fundamental insights to improve clinical outcomes in GBM. Here, using three-dimensional engineered hydrogel models in vitro, we report the influence of extracellular matrix, hypoxia, and adjacent neuronal cells in radiotherapeutic sensitivity. We find that mechanical cues and oxygen availability regulate cellular response to radiation, with softer matrices allowing for more DNA damage. Hyaluronan fragments from the extracellular matrix also modulate rapid metabolic response to radiation, especially in hypoxic environments. We show that neuronal networks influence tumor metabolic activity and the inflammatory response. Overall, we demonstrate here that alternative radiation strategies, such as low dose rate radiation therapy and microenvironmental regulation, have the potential to be more effective in a specific subset of radiosensitive GBM tumors.

bioengineering↗

bioRxiv2025

Systems analysis uncovers early temozolomide responses and peptide antigens in glioblastoma

Temozolomide (TMZ) is the standard treatment for nearly all glioblastoma (GBM) patients, as it is the only chemotherapy shown to extend overall survival. However, this benefit is limited to a few months, underscoring the need for combination strategies to improve its efficacy. While TMZ-induced DNA damage can both mediate cytotoxicity and promote resistance, DNA damage more broadly can also stimulate immune activation. To evaluate its immunomodulatory potential, we characterized the previously unexplored early, cell-intrinsic consequences of TMZ in GBM cells, spanning DNA damage, stress responses, and antigen presentation. A multi-omics approach combining RNA sequencing and quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) profiled changes in gene expression, nascent protein translation, steady-state protein levels, kinase-substrate phosphorylation patterns, and MHC-I peptide presentation in GBM cells within 72 hours of TMZ exposure. This analysis revealed rapid activation of DNA damage signaling and p53-associated stress pathways, alongside dynamic changes in protein synthesis and antigen presentation. A set of TMZ treatment-associated peptide antigens (TAPAs) was identified, including peptides derived from stress response proteins, phosphorylated MHC-I peptides, and those induced by other genotoxic treatments such as radiation. Several of these peptides were also detected in recurrent GBM patient tumors. Our findings suggest that TMZ not only triggers early adaptive and potentially resistance-associated stress programs but may also enhance the immune visibility of GBM cells. These data highlight potential windows for combination therapies with TMZ that bolster immune recognition of GBM, while the systems approach provides a framework to examine how genotoxic therapies across cancers alter tumor immunogenicity.

cancer biology↗

bioRxiv2025

Drug and single-cell gene expression integration identifies sensitive and resistant glioblastoma cell populations

Glioblastoma (GBM) remains the most common and lethal adult malignant primary brain cancer with few treatment options. A significant issue hindering GBM therapeutic development is intratumor heterogeneity. GBM tumors contain neoplastic cells within a spectrum of different transcriptional states. Identifying effective therapeutics requires a platform that predicts the differential sensitivity and resistance of these states to various treatments. Here, we developed a novel framework, ISOSCELES (Inferred cell Sensitivity Operating on the integration of Single-Cell Expression and L1000 Expression Signatures), to quantify the cellular drug sensitivity and resistance landscape. Using single-cell RNA sequencing of newly diagnosed and recurrent GBM tumors, we identified compounds from the LINCS L1000 database with transcriptional response signatures selectively discordant with distinct GBM cell states. We validated the significance of these findings in vitro, ex vivo, and in vivo, and identified a novel combination of an OLIG2 inhibitor and Depatux-M for GBM. Our studies suggest that ISOSCELES identifies cell states sensitive and resistant to targeted therapies in GBM and that it can be applied to identify new synergistic combinations. HighlightsO_LIIntegration of GBM single-cell RNA sequencing data with L1000-derived drug response signatures facilitates clustering of tumor cells and small molecules on cell-drug connectivity. C_LIO_LICell-drug connectivity predicts the identities of drug-sensitive and resistant cell states. C_LIO_LIIn silico perturbation analysis using cell-drug connectivity predicts drug-induced changes in the cell-drug connectivity landscape in vivo. C_LIO_LIIn silico perturbation analysis to predict drug-induced changes in the tumor cell-drug connectivity landscape predicts drug combinations that synergize in vivo to extend survival. C_LI

cancer biology↗

bioRxiv2024

Targeting glioblastoma tumor hyaluronan to enhance therapeutic interventions that regulate metabolic cell properties

Despite extensive advances in cancer research, glioblastoma (GBM) still remains a very locally invasive and thus challenging tumor to treat, with a poor median survival. Tumor cells remodel their microenvironment and utilize extracellular matrix to promote invasion and therapeutic resistance. We aim here to determine how GBM cells exploit hyaluronan (HA) to maintain proliferation using ligand-receptor dependent and ligand-receptor independent signaling. We use tissue engineering approaches to recreate the three-dimensional tumor microenvironment in vitro, then analyze shifts in metabolism, hyaluronan secretion, HA molecular weight distribution, as well as hyaluronan synthetic enzymes (HAS) and hyaluronidases (HYAL) activity in an array of patient derived xenograft GBM cells. We reveal that endogenous HA plays a role in mitochondrial respiration and cell proliferation in a tumor subtype dependent manner. We propose a tumor specific combination treatment of HYAL and HAS inhibitors to disrupt the HA stabilizing role in GBM cells. Taken together, these data shed light on the dual metabolic and ligand - dependent signaling roles of hyaluronan in glioblastoma. SignificanceThe control of aberrant hyaluronan metabolism in the tumor microenvironment can improve the efficacy of current treatments. Bioengineered preclinical models demonstrate potential to predict, stratify and accelerate the development of cancer treatments.

bioengineering↗

bioRxiv2023

GTP signaling links metabolism, DNA repair, and responses to genotoxic stress

How cell metabolism regulates DNA repair is incompletely understood. Here, we define a GTP-mediated signaling cascade that links metabolism to DNA repair and has significant therapeutic implications. GTP, but not other nucleotides, regulates the activity of Rac1, a G protein, that promotes the dephosphorylation of serine 323 on Abl-interactor 1 (Abi-1) by protein phosphatase 5 (PP5). Dephosphorylated Abi-1, a protein previously not known to activate DNA repair, promotes non-homologous end joining. In patients and mouse models of glioblastoma, Rac1 and dephosphorylated Abi-1 mediate DNA repair and resistance to standard of care genotoxic treatments. The GTP-Rac1-PP5-Abi-1 signaling axis is not limited to brain cancer, as GTP supplementation promotes DNA repair and Abi-1-S323 dephosphorylation in non-malignant cells and protects mouse tissues from genotoxic insult. This unexpected ability of GTP to regulate DNA repair independently of deoxynucleotide pools has important implications for normal physiology and cancer treatment.

cancer biology↗

bioRxiv2023

Cell migration simulator-based biomarkers for glioblastoma

Glioblastoma is the most aggressive malignant brain tumor with poor survival due to its invasive nature driven by cell migration, with unclear linkage to transcriptomic information. Here, we applied a physics-based motor-clutch model, a cell migration simulator (CMS), to parameterize the migration of glioblastoma cells and define physical biomarkers on a patient-by-patient basis. We reduced the 11-dimensional parameter space of the CMS into 3D to identify three principal physical parameters that govern cell migration: motor number - describing myosin II activity, clutch number - describing adhesion level, and F-actin polymerization rate. Experimentally, we found that glioblastoma patient-derived (xenograft) (PD(X)) cell lines across mesenchymal (MES), proneural (PN), classical (CL) subtypes and two institutions (N=13 patients) had optimal motility and traction force on stiffnesses around 9.3kPa, with otherwise heterogeneous and uncorrelated motility, traction, and F-actin flow. By contrast, with the CMS parameterization, we found glioblastoma cells consistently had balanced motor/clutch ratios to enable effective migration, and that MES cells had higher actin polymerization rates resulting in higher motility. The CMS also predicted differential sensitivity to cytoskeletal drugs between patients. Finally, we identified 11 genes that correlated with the physical parameters, suggesting that transcriptomic data alone could potentially predict the mechanics and speed of glioblastoma cell migration. Overall, we describe a general physics-based framework for parameterizing individual glioblastoma patients and connecting to clinical transcriptomic data, that can potentially be used to develop patient-specific anti-migratory therapeutic strategies generally. Significance StatementSuccessful precision medicine requires biomarkers to define patient states and identify personalized treatments. While biomarkers are generally based on expression levels of protein and/or RNA, we ultimately seek to alter fundamental cell behaviors such as cell migration, which drives tumor invasion and metastasis. Our study defines a new approach for using biophysics-based models to define mechanical biomarkers that can be used to identify patient-specific anti-migratory therapeutic strategies.

bioengineering↗

bioRxiv2022

Identify non-mutational p53 loss of function in human cancers

An accurate assessment of TP53s functional status is critical for cancer genomic medicine. However, there is a significant challenge in identifying tumors with non-mutational p53 inactivations that are not detectable through DNA sequencing. These undetected cases are often misclassified as p53-normal, leading to inaccurate prognosis and downstream association analyses. To address this issue, we build the support vector machine (SVM) models to systematically reassess p53s functional status in TP53 wild-type (TP53WT) tumors from multiple TCGA cohorts. Cross-validation demonstrates the excellent performance of the SVM models with a mean AUC of 0.9822, precision of 0.9747, and recall of 0.9784. Our study reveals that a significant proportion (87-99%) of TP53WT tumors actually have compromised p53 function. Additional analyses uncovered that these genetically intact but functionally impaired (termed as predictively reduced function of p53 or TP53WT-pRF) tumors exhibit genomic and pathophysiologic features akin to p53 mutant tumors: heightened genomic instability and elevated levels of hypoxia. Clinically, patients with TP53WT-pRF tumors experience significantly shortened overall survival or progression-free survival compared to those with TP53WT-pN (predictive normal function of p53) tumors, and these patients also display increased sensitivity to platinum-based chemotherapy and radiation therapy.

bioinformatics↗

bioRxiv2022

CHCHD2 mediates glioblastoma cell proliferation, mitochondrial metabolism, hypoxia-induced invasion, and therapeutic resistance

Glioblastoma (GBM) is the most common and malignant primary brain tumor in adults and remains incurable. The mitochondrial coiled-coil-helix-coiled-coil-helix domain-containing protein 2 (CHCHD2) is demonstrated to mediate mitochondrial respiration, nuclear gene expression, and cell migration, but evidence of this in GBM is lacking. We hypothesized that CHCHD2 would serve a functional role in U87 GBM cells expressing the constitutively active epidermal growth factor receptor variant III (EGFRvIII). Amplification of the CHCHD2 gene was found to be associated with decreased patient overall survival and progression-free survival. CHCHD2 mRNA levels were increased in high-versus low-grade glioma, IDH-wt GBMs, and in tumor versus non-tumor tissue. Additionally, CHCHD2 protein expression was greatest in invasive, EGFRvIII-expressing patient-derived samples. CRISPR-Cas9-mediated knockout of CHCHD2 in EGFRvIII-expressing U87 cells resulted in altered mitochondrial respiration and glutathione status, decreased cell growth and invasion in both normoxia and hypoxia, and increased sensitivity to cytotoxic agents. CHCHD2 was distributed in both mitochondria and nuclei of U87 and U87vIII cells, and U87vIII displayed greater nuclear CHCHD2 compared to isogenic U87 cells. Incubation in hypoxia, serum starvation, and reductive unfolding of CHCHD2 induced nuclear accumulation of CHCHD2 in both cell lines. Collectively, these data indicate that CHCHD2 mediates a variety of GBM cell hallmark characteristics and highlights mitonuclear retrograde signaling as a pathway of interest in GBM cell biology. ImplicationsThese data demonstrate CHCHD2 as a mediator of a number of GBM cell functions representing disease hallmarks, as well as highlight its subcellular distribution in response to metabolic stressors. These results may inspire therapeutic strategies undermining mitochondrial biology to potentially improve GBM tumor management.

cancer biology↗

bioRxiv2022

Differential migration mechanics and immune responses of glioblastoma subtypes

Glioblastoma remains a deadly cancer driven in part by invasion of tumor cells into the brain. Transcriptomic analyses have identified distinct molecular subtypes, but mechanistic differences that account for clinical differences are not clear. Here, we show that, as predicted by the motor-clutch model of cell migration, mesenchymal glioma cells are more spread, generate larger traction forces, and migrate faster in brain tissue compared to proneural cells. Despite their rapid migration and comparable proliferation rates in vitro, mice with mesenchymal tumors survive longer than those with proneural tumors. This improved survival correlated with an immune response in the mesenchymal tumors, including T cell-mediated. Consistently, inducing mesenchymal tumors in immunodeficient mice resulted in shorter survival supporting a protective immune role in mesenchymal tumors. Thus, mesenchymal tumors have aggressive migration, but are immunologically hot which suppresses net proliferation. These two features counteract each other and may explain the lack of a strong survival difference between subtypes clinically, while also opening up new opportunities for subtype-specific therapies. Significant StatementThis study highlights new mechanical and immunological insights into glioblastoma molecular subtypes using an integrated modeling-genome engineering strategy, which can potentially facilitate glioblastoma subtype-specific therapeutic strategies.

cancer biology↗

bioRxiv2022

Pericytes and Astrocytes Instruct Glioblastoma Invasion, Proliferation, and Therapeutic Response within an Engineered Brain Perivascular Niche Model

Glioblastoma (GBM) tumor cells are found in the perivascular niche microenvironment and are believed to associate closely with the brain microvasculature. However, it is largely unknown how the resident cells of the perivascular niche, such as endothelial cells, pericytes, and astrocytes, influence GBM tumor cell behavior and disease progression. We describe a three-dimensional in vitro model of the brain perivascular niche developed by encapsulating brain-derived endothelial cells, pericytes, and astrocytes in a gelatin hydrogel. We show that pericytes and astrocytes explicitly contribute to vascular architecture and maturation. We use co-cultures of patient-derived GBM tumor cells with brain microvascular cells to identify a role for pericytes and astrocytes in establishing a perivascular niche environment that modulates GBM cell invasion, proliferation, and therapeutic response. Engineered models provides unique insight regarding the spatial patterning of GBM cell phenotypes in response to a multicellular model of the perivascular niche. Critically, we show that engineered perivascular models provide an important resource to evaluate mechanisms by which inter- cellular interactions modulate GBM tumor cell behavior, drug response, and provide a framework to consider patient-specific disease phenotypes.

bioengineering↗

bioRxiv2021

Complementary role of mathematical modeling in preclinical glioblastoma: differentiating poor drug delivery from drug insensitivity

Glioblastoma is the most malignant primary brain tumor with significant heterogeneity and a limited number of effective therapeutic options. Many investigational targeted therapies have failed in clinical trials, but it remains unclear if this results from insensitivity to therapy or poor drug delivery across the blood-brain barrier. Using well-established EGFR-amplified patient-derived xenograft (PDX) cell lines, we investigated this question using an EGFR-directed therapy. With only bioluminescence imaging, we used a mathematical model to quantify the heterogeneous treatment response across the three PDX lines (GBM6, GBM12, GBM39). Our model estimated the primary cause of intracranial treatment response for each of the lines, and these findings were validated with parallel experimental efforts. This mathematical modeling approach can be used as a useful complementary tool that can be widely applied to many more PDX lines. This has the potential to further inform experimental efforts and reduce the cost and time necessary to make experimental conclusions. Author summaryGlioblastoma is a deadly brain cancer that is difficult to treat. New therapies often fail to surpass the current standard of care during clinical trials. This can be attributed to both the vast heterogeneity of the disease and the blood-brain barrier, which may or may not be disrupted in various regions of tumors. Thus, while some cancer cells may develop insensitivity in the presence of a drug due to heterogeneity, other tumor areas are simply not exposed to the drug. Being able to understand to what extent each of these is driving clinical trial results in individuals may be key to advancing novel therapies. To address this challenge, we used mathematical modeling to study the differences between three patient-derived tumors in mice. With our unique approach, we identified the reason for treatment failure in each patient tumor. These results were validated through rigorous and time-consuming experiments, but our mathematical modeling approach allows for a cheaper, quicker, and widely applicable way to come to similar conclusions.

cancer biology↗

bioRxiv2021

A Syx-RhoA-Dia1 signaling axis regulates cell cycle progression, DNA damage, and therapy resistance in glioblastoma

Glioblastomas (GBM) are aggressive tumors that lack effective treatments. Here, we show that the Rho family guanine nucleotide exchange factor Syx promotes GBM cell growth both in vitro and in orthotopic GBM patient-derived xenografts. Growth defects upon Syx depletion are attributed to prolonged mitosis, increased DNA damage, G2/M cell cycle arrest, and cell apoptosis, mediated by altered mRNA and protein expression of various cell cycle regulators. These effects are phenocopied by depletion of the Rho downstream effector Dia1 and are due at least in part to increased cytoplasmic retention and reduced activity of the YAP/TAZ transcriptional coactivators. Further, targeting Syx signaling cooperates with radiation treatment and temozolomide (TMZ) to decrease viability in GBM cells irrespective of their inherent response to TMZ. Taken together, the data indicate that a Syx-RhoA-Dia1-YAP/TAZ signaling axis regulates cell cycle progression, DNA damage, and therapy resistance in GBM and argue for its targeting for cancer treatment. One Sentence SummarySyx promotes growth and therapy resistance in glioblastoma.

cancer biology↗

bioRxiv2021

The efficacy of a ketogenic diet in preclinical models of IDH wild-type and IDH mutant glioma

Infiltrative gliomas are the most common neoplasms arising in the brain, and remain largely incurable despite decades of research. A subset of these gliomas contains mutations in isocitrate dehydrogenase 1 (IDH1) or, less commonly, IDH2 (together called "IDHmut"). These mutations alter cellular biochemistry, and IDHmut gliomas are generally less aggressive than IDH wild-type (IDHwt) gliomas. Some preclinical studies and clinical trials have suggested that a ketogenic diet (KD), characterized by low-carbohydrate and high-fat content, may be beneficial in slowing glioma progression. However, not all studies have shown promising results, and to date, no study has addressed whether IDHmut gliomas might be more sensitive to KD. The aim of the current study was to compare the effects of KD in preclinical models of IDHwt versus IDHmut gliomas. In vitro, simulating KD by treatment with the ketone body {beta}-hydroxybutyrate had no effect on the proliferation of patient-derived IDHwt or IDHmut glioma cells. Likewise, a cycling KD, wherein mice alternated between KD and a standard diet (SD), had no effect on the in vivo growth of patient-derived IDHwt or IDHmut gliomas, even though the cycling KD did result in persistently elevated circulating ketones. Furthermore, KD conferred no survival benefit in mice engrafted with Sleeping-Beauty transposase-engineered IDHmut glioma. These data suggest that neither IDHwt nor IDHmut gliomas are particularly responsive to KD.

cancer biology↗

bioRxiv2021

massNet: integrated processing and classification of spatially resolved mass spectrometry data using deep learning for rapid tumor delineation

MotivationMass spectrometry imaging (MSI) provides rich biochemical information in a label-free manner and therefore holds promise to substantially impact current practice in disease diagnosis. However, the complex nature of MSI data poses computational challenges in its analysis. The complexity of the data arises from its large size, high dimensionality, and spectral non-linearity. Preprocessing, including peak picking, has been used to reduce raw data complexity, however peak picking is sensitive to parameter selection that, perhaps prematurely, shapes the downstream analysis for tissue classification and ensuing biological interpretation. ResultsWe propose a deep learning model, massNet, that provides the desired qualities of scalability, non-linearity, and speed in MSI data analysis. This deep learning model was used, without prior preprocessing and peak picking, to classify MSI data from a mouse brain harboring a patient-derived tumor. The massNet architecture established automatically learning of predictive features, and automated methods were incorporated to identify peaks with potential for tumor delineation. The models performance was assessed using cross-validation, and the results demonstrate higher accuracy and a 174-fold gain in speed compared to the established classical machine learning method, support vector machine. Availability and ImplementationThe code is publicly available on GitHub.

bioinformatics↗

bioRxiv2020

Quantitative analysis of tyrosine phosphorylation from FFPE tissues reveals patient specific signaling networks

Formalin fixed paraffin embedded (FFPE) tissues are an invaluable source of clinical specimens. Tyrosine phosphorylation (pTyr) plays a fundamental role in cellular processes and is commonly dysregulated in cancer but has not been studied to date in FFPE samples. We describe a method for quantitative analysis of pTyr signaling networks at an unprecedented sensitivity, with hundreds of sites quantified from 1-2 10-m sections of FFPE tissue specimens. Phosphotyrosine profiles of flash frozen and FFPE tissues derived from the same tumors suggest that FFPE tissues preserve pTyr signaling characteristics in PDX tumors and archived clinical specimens. Differential activation of oncogenic proteins was observed in triple negative breast cancer tumors as well as lung cancer tumors, highlighting patient specific oncogenic driving kinases and indicating potential targeted therapies for each patient. These data highlight the capability for direct translational insight from pTyr analysis of small amounts of FFPE tumor tissue specimens.

systems biology↗