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 Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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CIC-DUX4 expression drives the development of small round cell sarcoma in transgenic zebrafish: a new model revealing a role for ETV4 in CIC-mediated sarcomagenesis

CIC-DUX4 sarcoma is a rare subtype of sarcoma characterized by a devastating prognosis and resistance to conventional therapeutic strategies. So far, only few models of the disease have been reported, and its biological mechanisms remain to be elucidated. We established mosaic transgenic zebrafish expressing the human CIC-DUX4 fusion under the control of the {beta}-actin promoter. CIC-DUX4 transgenic fish rapidly developed aggressive soft tissue tumors with a high penetrance. RNAseq profiling revealed that fish tumors shared major common targets with human tumors and cell lines, including the overexpression of the Pea3 transcription factors, etv4 and etv5. Tumor development was strongly impaired in etv4-deficient zebrafish, implicating Etv4 as a critical effector of CIC-DUX4-mediated oncogenesis. Altogether, we report here the first in vivo model of CIC-DUX4 sarcoma in zebrafish, which will represent a major tool for future preclinical research.

cancer biology↗

A scalable in vitro cell competition model identifies preleukemic super competitor clones

Preleukemic and leukemic conditions are frequently characterized by the acquisition of recurrent genetic mutations in hematopoietic stem cells (HSCs). One of the most frequently mutated genes in both clonal hematopoiesis and myeloid malignancies is the ten-eleven translocation 2 (TET2) gene, which encodes an epigenetic enzyme with a critical role in the regulation of gene transcription. While substantial work has shown that TET2 loss-of-function mutations lead to a clonal advantage, the underpinning cellular mechanism remains unclear, especially with respect to the early interactions with other cells. To study these early cell interactions of mutant and non-mutant cells, we developed an in vitro clonal competition platform where single-cell derived cultures are split into subclonal fractions which can be simultaneously cross-competed against multiple different clones of an opposing genotype. We identify a novel preleukemic cell phenotype that parallels the developmental biology phenomenon of super-competition, whereby ~10% of TET2-mutant clones actively and selectively suppress wild type (WT) cell expansion and, in some cases, completely eliminate WT clones. Molecular profiling and functional assays point to RAC1-GEF signalling inhibition as a specific WT cell vulnerability that is promoted, and tolerated, by neighbouring TET2-mutated clones. In addition to pinpointing selective drivers of non-mutant cell suppression, this clonal competition platform offers a broadly applicable new approach to study cell competition dynamics at an unprecedented scale.

cancer biology↗

NECTIN4 defines a subtype-dependent tumor state coupling enfortumab vedotin targetability to antitumor immunity in bladder cancer

NECTIN4 is the target of enfortumab vedotin (EV), but its biological role in bladder cancer (BC) and its relationship to EV plus PD-1 blockade remain unclear. Integrating clinical multi-omics, spatial and single-cell immune profiling, and experimental models, we identify NECTIN4 as a subtype-dependent determinant of tumor state and antitumor immunity. In basal BC cells, NECTIN4 suppressed inflammatory and mesenchymal programs. Consistently, NECTIN4-high basal/squamous muscle-invasive BCs showed favorable survival, higher checkpoint inhibitor response rates, and a coordinated CD8+ T cell-inflamed microenvironment with no comparable associations in luminal papillary tumors. In orthotopic models, murine Nectin4 promoted CD8+ T cell-dependent tumor control, whereas human NECTIN4 conferred EV sensitivity. EV also attenuated NECTIN4-dependent TIGIT binding. Conversely, NECTIN4-low models were preferentially sensitive to HDAC inhibition. NECTIN4 therefore couples antibody-drug conjugate targetability to a subtype-specific tumor-immune state permissive for checkpoint blockade, whereas the NECTIN4-low state defines a distinct inflammatory-mesenchymal state with an alternative therapeutic vulnerability.

cancer biology↗

Identifying different types of tumors in human brain, breast, and uterus according to their optical properties in the red to near-infrared region

Optical diagnosis techniques are gaining validity due to their competitive advantages including safety and functionality. These methods probe the tissue using light in the red to near-infrared region that shows relatively high penetration in biological tissues. The reflected light which is controlled by tissue absorption and scattering parameters can provide significant information about its pathology. In the present work, a method for identifying different types of tumors in human brain, breast and uterus based on their absorption and scattering characteristics in the red to near-infrared spectra is proposed. The classification method depends on studying the red to near-infrared light diffusion through the examined tissues using Monte-Carlo simulation and finite element solution of the light diffusion equation. The obtained tissue reflectance profiles, optical fluence rate distribution and absorbed faction in each tumor type show different characteristics along the selected wavelengths. The variation in these three features can be considered as an alternative approach of medical diagnosis or can assist with other conventional diagnosis methods.

cancer biology↗

Transcriptome profiling-based evidences reiterate the intrinsic role of MAPKAPK2 in facilitating molecular crosstalk during HNSCC pathogenesis

BackgroundTranscriptome profiling has been pivotal in better comprehending the convoluted biology of tumors including head and neck squamous cell carcinoma (HNSCC). Recently, growing evidence has implicated the role of mitogen-activated protein kinase-activated protein kinase-2 (MAPKAPK2 or MK2) in many human diseases including tumors. MK2 has been recently reported as a critical regulator of HNSCC that functions via modulating the transcript turnover of crucial genes involved in its pathogenesis. Comprehensive MK2-centric transcriptomic analyses could help the scientific community to delve deeper into MK2-pathway driven mechanisms of tumor progression, but such studies have not yet been reported. Consequently, to delineate the biological relevance of MK2 and its intricate crosstalk in the tumor milieu, an extensive transcriptome analysis of HNSCC was conceptualized and effectuated with MK2 at the nexus. MethodsIn the current study, comprehensive next-generation sequencing-based transcriptome profiling was accomplished to ascertain global patterns of mRNA expression profiles in both in vitro and in vivo models of the HNSCC microenvironment. The findings of the RNA-sequencing analysis were cross-validated via robust validation using nCounter gene expression assays, immunohistochemistry, and real-time quantitative polymerase chain reaction (RT-qPCR). ResultsTranscriptomic characterization followed by annotation and differential gene expression analyses identified certain MK2-regulated candidate genes constitutively involved in regulating HNSCC pathogenesis, and the biological significance of these genes was established by pathway enrichment analysis. Additionally, advanced gene expression assays through the nCounter system in conjunction with immunohistochemical analysis validated the transcriptome profiling outcomes quite robustly. Furthermore, the results obtained from immunohistochemistry and transcript stability analysis indicated the crucial role of MK2 in the modulation of the expression pattern of these genes in HNSCC tumors and cells. ConclusionsConclusively, the findings have paved the way toward the identification of new effective tumor markers and potential molecular targets for HNSCC management. The results have accentuated the importance of certain differentially expressed MK2-regulated genes that are constitutively involved in HNSCC pathogenesis to potentially serve as putative candidates for future endeavors pertaining to diagnosis and therapeutic interventions for HNSCC.

cancer biology↗

Molecular characterization reveals subclasses of 1q gain in intermediate-risk Wilms tumors

Chromosomal alterations have recurrently been identified in Wilms tumors (WTs) and some are associated with poor prognosis. Gain of 1q (1q+) is of special interest given its high prevalence and is currently actively studied for its prognostic value. However, the underlying mutational mechanisms and functional effects remain unknown. For 30 primary WTs, we integrated somatic SNVs, CNs and SVs with expression data and distinguished four clusters characterized by affected biological processes: muscle differentiation, immune system, kidney development and proliferation. We identified 1q+ in eight tumors that differ in mutational mechanisms, subsequent rearrangements and genomic contexts. 1q+ tumors were present in all four expression clusters and individual tumors overexpress different genes on 1q. Through integrating CNs, SVs and gene expression, we identified subgroups of 1q+ tumors reflecting differences in the functional effect of 1q gain, indicating that expression data is likely needed for further risk stratification of 1q+ WTs.

cancer biology↗

Expanding Therapeutic Target Space from Genes to Disease-Relevant Molecular Forms with Agent3Diso

Therapeutic targets are commonly defined at the gene or canonical protein level, yet therapeutic effects are ultimately exerted through specific molecular states operating in specific biological contexts. Alternative splicing generates diverse RNA and translated protein forms whose functional consequences, disease relevance, and therapeutic vulnerabilities can differ substantially within the same gene. Resolving these disease-relevant molecular forms creates opportunities for selective intervention across complementary RNA- and protein-directed modalities, but requires reasoning across tightly coupled molecular layers, heterogeneous evidence, explicit biological constraints, and modality-specific therapeutic requirements. Here, we present Agent3Diso, a hybrid deterministic--agent multimodal framework for molecular-form-resolved therapeutic discovery. Agent3Diso establishes cross-layer molecular coherence from transcript identity and translation to structure, function, and disease context; enforces explicit molecular and therapeutic constraints through deterministic computation; and applies specialized agentic reasoning to evidence synthesis, mechanistic interpretation, conflict resolution, hypothesis critique, and experimental design. The framework evaluates therapeutic opportunities across multiple intervention modalities and translates prioritized disease-relevant molecular states into traceable hypotheses linking molecular identity, therapeutic rationale, modality, concrete intervention, uncertainty, and experimental validation. By integrating molecular resolution with constraint-aware and modality-conditioned agentic reasoning, Agent3Diso provides a framework for extending therapeutic discovery beyond gene-level targets toward disease-relevant molecular forms.

cancer biology↗

A novel triple-action inhibitor targeting B-cell receptor signaling and BRD4 demonstrates preclinical activity in chronic lymphocytic leukemia

B-cell chronic lymphocytic leukemia (CLL) results from intrinsic genetic defects and complex microenvironment stimuli that fuel CLL cell growth through an array of survival-signaling pathways. Novel small-molecule agents targeting the B-cell receptor pathway and anti-apoptotic proteins alone or in combination have revolutionized the management of CLL, yet combination therapy carries significant toxicity and CLL still remains an incurable disease due to residual disease and relapse. Single-molecule inhibitors that can target multiple disease-driving factors are thus an attractive approach to combat both drug resistance and combination therapy-related toxicities. Using SRX3305, a novel small-molecule BTK/PI3K/BRD4 inhibitor that targets three distinctive facets of CLL biology, we demonstrate that SRX3305 attenuates CLL cell proliferation and promotes apoptosis in a dose-dependent fashion. SRX3305 also inhibits activation-induced proliferation of primary CLL cells in vitro, and effectively blocks microenvironment-mediated survival signals including stromal cell contact. Furthermore, SRX3305 blocks CLL cell migration toward CXCL-12 and CXCL-13, major chemokines involved in CLL cell homing and retention in microenvironment niches. Importantly, SRX3305 maintains its anti-tumor effects in ibrutinib-resistant CLL cells. Collectively, this study establishes the preclinical efficacy of SRX3305 in CLL providing significant rationale for its development as a therapeutic agent for CLL and related disorders.

cancer biology↗

O-GlcNAcylation of Keratin 18 coordinates TCA cycle to promote cholangiocarcinoma progression

Glycosylation in human cholangiocarcinoma (CCA) actively contributes to pathophysiological steps of tumor progression. Of note is the dynamic modification of proteins by O-linked {beta}-N-acetyl-glucosamine (O-GlcNAcylation) that modulates various tumor-associated biological activities. By using a cutting-edge chemical proteomic methodology for intact glycopeptide analysis, we show herein that O-GlcNAcylation of Keratin 18 (K18) coordinates the tricarboxylic acid (TCA) cycle enzymes, namely isocitrate dehydrogenases (IDHs), to promote CCA progression. Mechanistically, site-specific O-GlcNAcylation of K18 on Ser 30 stabilizes K18, which benefits the expression of cell cycle checkpoints to enhance cell cycle progression and cell growth. Interaction with IDHs down-regulates the level of citrate and isocitrate, while up-regulates the level of -ketoglutarate (-KG). Our study thus expands the current understanding of protein O-GlcNAcylation, and adds another dimension of complexity to post-translational control over metabolism and tumorigenesis.

cancer biology↗

The Neuro-Immune Axis in Glioma Spontaneous Remission: Evidence from Population-Level Latent Variable Modelling and Transcriptomic Profiling

Gliomas are primary brain tumours that develop from neural stem or progenitor cells containing oncogenic alterations. Gliomas undergo remission with partial or complete disappearance of the disease, and in rare instances, spontaneous remission. Spontaneous remission happens without treatment or with inadequate medical intervention. This is a rare but well-documented phenomenon and has been observed across various tumour types, including gliomas, with varying frequency. While historically viewed as clinical anomalies, we hypothesize that SR may be driven by a measurable, latent neuro-immune axis specifically, autonomic vagal nerve modulation of the tumour microenvironment (TME) via the cholinergic anti-inflammatory pathway. Using a Gamma frailty Cox proportional hazards model on a SEER cohort of 6,939 glioma patients, we identified a latent biological variable (Z) that explains 27.1% of survival variance independent of age, grade, treatment, and tumour location. To determine the molecular basis of this latent survival advantage, we applied parallel frailty and Cox models to the TCGA Lower Grade Glioma and Glioblastoma (LGG+GBM) cohorts. Clinical validation confirmed expected hazards for age and grade, with the frailty model achieving high predictive accuracy (5-year AUC = 0.840; 10-year AUC = 0.841). Transcriptomic integration revealed that the alpha7 nicotinic acetylcholine receptor (CHRNA7) is highly protective, inversely correlating with biological frailty (r = -0.285, p < 0.0001). Conversely, pro-inflammatory cytokines (IL6) and M2 macrophage markers (CD163) positively correlated with frailty. Grade-stratified Cox regression and Kaplan-Meier analyses confirmed that CHRNA7 confers a significant survival advantage entirely independent of tumour grade. Single-cell RNA-sequencing data (Core GBmap) confirmed that CHRNA7 and TLR4 are expressed heavily on tumour-associated macrophages and microglia, rather than malignant cells. Our in-silico integration suggests that high vagal tone releases acetylcholine, binding to alpha7nAChR on TME macrophages. This triggers a signalling cascade that dampens the IL-6 production required for glioma proliferation, effectively halting tumour growth. Ongoing in vitro wet-lab experiments utilizing specific alpha7nAChR agonists (GTS-21) and physiological stress models aim to clinically validate this vagal-immune mechanism.

Cancer Biology↗

A novel neural stem cell-derived immunocompetent mouse model of glioblastoma for preclinical studies

Glioblastomas are the most lethal tumors affecting the central nervous system in adults. Simple and inexpensive syngeneic in vivo models that closely mirror human glioblastoma, including interactions between tumor and immune cells, are urgently needed for deciphering glioma biology and developing more effective treatments. Here, we generated glioblastoma cell lines by repeated in-vivo passaging of cells isolated from a neural stem cell-specific Pten/p53 double-knockout genetic mouse brain tumor model. Transcriptome and genome analyses of the cell lines revealed molecular heterogeneity comparable to that observed in human glioblastoma. Upon orthotopic transplantation into syngeneic hosts they formed high-grade gliomas that faithfully recapitulated the histopathological features, invasiveness and myeloid cell infiltration characteristic of human glioblastoma. These features make our cell lines unique and useful tools to study multiple aspects of glioblastoma pathomechanism and test novel treatments, especially immunotherapies in syngeneic preclinical models.

cancer biology↗

Patient-derived tumoroids of advanced high-grade neuroendocrine neoplasms mimic patient chemotherapy responses and guide the design of personalized combination therapies

There are no therapeutic predictive biomarkers or representative preclinical models for high-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN), a highly aggressive, fatal, and heterogeneous epithelial malignancy. We established patient-derived (PD) tumoroids from biobanked tissue samples of advanced high-grade GEP-NEN patients and applied this model for targeted rapid ex vivo pharmacotyping, next-generation sequencing, and perturbational profiling. We used tissue-matched PD tumoroids to profile individual patients, compared ex vivo drug response to patients clinical response to chemotherapy, and investigated treatment-induced adaptive stress responses. PD tumoroids recapitulated biological key features of high-grade GEP-NEN and mimicked clinical response to cisplatin and temozolomide ex vivo. When we investigated treatment-induced adaptive stress responses in PD tumoroids in silico, we discovered and functionally validated Lysine demethylase 5A and interferon-beta, which act synergistically in combination with cisplatin. Since ex vivo drug response in PD tumoroids matched clinical patient responses to standard-of-care chemotherapeutics for GEP-NEN, our rapid and functional precision oncology approach could expand personalized therapeutic options for patients with advanced high-grade GEP-NEN.

cancer biology↗

A single-sample workflow for joint metabolomic and proteomic analysis of clinical specimens

Understanding the interplay of the proteome and the metabolome aids in understanding cellular phenotypes. To enable more robust inferences from such multi-omics analyses, combining proteomic and metabolomic datasets from the same sample provides major benefits by reducing technical variation between extracts during the pre-analytical phase, decreasing sample variation due to varying cellular content between aliquots, and limiting the required sample amount. We evaluated the advantages, practicality and feasibility of a single-sample workflow for combined proteome and metabolome analysis. In the workflow, termed MTBE-SP3, we combined a fully automated protein lysis and extraction protocol (autoSP3) with a semi-automated biphasic 75% EtOH/MTBE extraction for quantification of polar/non-polar metabolites. Additionally, we compared the resulting proteome of various biological matrices (FFPE tissue, fresh-frozen tissue, plasma, serum and cells) between autoSP3 and MTBE-SP3. Our analysis revealed that the single-sample workflow provided similar results to those obtained from autoSP3 alone, with an 85-98% overlap of proteins detected across the different biological matrices. Additionally, it provides distinct advantages by decreasing (tissue) heterogeneity by retrieving metabolomics and proteomic data from the identical biological material, and limiting the total amount of required material. Lastly, we applied MTBE-SP3 to a lung adenocarcinoma cohort of 10 patients. Integrating the metabolic and proteomic alterations between tumour and non-tumour adjacent tissue yielded consistent data independent of the method used. This revealed mitochondrial dysfunction in tumor tissue through deregulation of OGDH, SDH family enzymes and PKM. In summary, MTBE-SP3 enables the facile and confident parallel measurement of proteins and metabolites obtained from the same sample. This workflow is particularly applicable for studies with limited sample availability and offers the potential to enhance the integration of metabolomic and proteomic datasets.

cancer biology↗

Somatic gene delivery for flexible in vivo modeling of high-risk sarcoma

A particular challenge hampering therapeutic advancements for high-risk sarcoma patients is the broad spectrum of molecularly distinct sarcoma entities and the corresponding lack of suitable model systems to recapitulate and study these diseases. To overcome this predicament, we developed a novel genetically-controlled, yet versatile mouse modeling platform allowing delivery of different genetic lesions by electroporation (EPO) of the thigh muscle wildtype mice. This optimized sarcoma EPO-GEMM (EPO-based genetically engineered mouse model) platform allowed the generation of ten biologically distinct sarcoma entities, including Synovial Sarcoma (SS), fusion-positive and fusion-negative Rhabdomyosarcoma (RMS), Alveolar Soft Part Sarcoma (ASPS), Undifferentiated Pleomorphic Sarcoma (UPS) and Infantile Fibrosarcoma (IFS). Comprehensive molecular profiling and cross-species analyses confirmed faithful recapitulation of the human disease, including the expression of relevant immunotherapy targets. Syngeneic allografting enabled reliable preservation and scalability of Sarcoma-EPO-GEMMs for treatment trials, such as B7-H3-directed CAR-T cell therapy in an immunocompetent background.

cancer biology↗

Quantitative imaging of schwannoma captures heterogeneity and accelerates preclinical testing, revealing distinct impacts of targeted therapies

Schwannomas are debilitating hallmarks of familial schwannomatoses and common sporadic tumors that form on spinal and cranial nerves. Drug-based therapies for schwannoma are desperately needed but their development has been extremely slow and disappointing, impeded particularly by the poorly understood and surprisingly complex and heterogeneous biology of schwannomas, and by the inefficient use of physiologically relevant in vivo preclinical models. We have addressed these gaps by developing a quantitative imaging-centered workflow that allows both a deep analysis of schwannoma development and accelerated preclinical testing in a widely used genetically engineered mouse model of neurofibromatosis type 2-related schwannomatosis (NF2-SWN). We deployed our workflow to study schwannoma development and to test two clinically relevant drugs (rapamycin and brigatinib) head-to-head. Our results uncovered the very early onset of heterogeneity and macrophage recruitment to initiating schwannomas, and the unexpectedly distinct impacts of the two drugs on both, highlighting the value of the pipeline for rapid, innovative future drug-testing.

cancer biology↗

Spatial Profiling of Metals through Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging

The spatial-omic analysis of biomolecules such as nucleic acids, lipids, metabolites, and proteins is advancing the study of biological systems and processes in a physio-pathological context. Here, we describe an innovative matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) method to detect metals within biological tissues using instrumentation that is widely available in research and clinical laboratories. We characterize the spatial distribution of metals in diverse settings including mouse embryogenesis, genetic disorders leading to abnormal metal accumulation, and preclinical testing for improved platinum-based chemotherapy delivery through focused ultrasound across the blood-brain barrier. Spatial metal profiling will advance research studies and the clinical analysis of metal-related diseases, enabling more precise use of metal-based therapies and advances in diverse scientific fields beyond biomedicine. One-Sentence SummarySpatial metallomic profiling maps native metals or those coordinated to xenobiotics, antibodies, and biomolecules in tissues.

cancer biology↗

Riboflavin drives nucleotide biosynthesis and iron-sulfur metabolism to promote acute myeloid leukemia

Riboflavin is a diet-derived vitamin in higher organisms that serves as a precursor for flavin mononucleotide and flavin adenine dinucleotide, key cofactors that participate in oxidoreductase reactions. Here, using proteomic, metabolomic and functional genomics approaches, we describe a specific riboflavin dependency in acute myeloid leukemia and demonstrate that, in addition to energy production via oxidative phosphorylation, a key biological role of riboflavin is to enable nucleotide biosynthesis and iron-sulfur cluster metabolism. Genetic perturbation of riboflavin metabolism pathways or exogenous depletion in physiological culture medium induce nucleotide imbalance and DNA damage responses, as well as impair the stability and activity of proteins which utilize [4Fe-4S] iron-sulfur clusters as cofactors. We identify a window of therapeutic opportunity upon riboflavin starvation or chemical riboflavin metabolism perturbation and demonstrate that this strongly synergizes with BCL-2 inhibition. Our work identifies riboflavin as a critical metabolic dependency in leukemia, with functions beyond energy production.

cancer biology↗

Destabilization of CAR T-cell treatment efficacy in the presence of dexamethasone

Chimeric antigen receptor (CAR) T-cell therapy is potentially an effective targeted immunotherapy for glioblastoma, yet there is presently little known about the efficacy of CAR T-cell treatment when combined with the widely used anti-inflammatory and immunosuppressant glucocorticoid, dexamethasone. Here we present a mathematical model-based analysis of three patient-derived glioblastoma cell lines treated in vitro with CAR T-cells and dexamethasone. Advanced in vitro experimental cell killing assay technologies allow for highly resolved temporal dynamics of tumor cells treated with CAR T-cells and dexamethasone, making this a valuable model system for studying the rich dynamics of nonlinear biological processes with translational applications. We model the system as a nonautonomous, two-species predator-prey interaction of tumor cells and CAR T-cells, with explicit time-dependence in the clearance rate of dexamethasone. Using time as a bifurcation parameter, we show that (1) dexamethasone destabilizes coexistence equilibria between CAR T-cells and tumor cells in a dose-dependent manner and (2) as dexamethasone is cleared from the system, a stable coexistence equilibrium returns in the form of a Hopf bifurcation. With the model fit to experimental data, we demonstrate that high concentrations of dexamethasone antagonizes CAR T-cell efficacy by exhausting, or reducing the activity of CAR T-cells, and by promoting tumor cell growth. Finally, we identify a critical threshold in the ratio of CAR T-cell death to CAR T-cell proliferation rates that predicts eventual treatment success or failure that may be used to guide the dose and timing of CAR T-cell therapy in the presence of dexamethasone in patients. Author summaryBioengineering and gene-editing technologies have paved the way for advance immunotherapies that can target patient-specific tumor cells. One of these therapies, chimeric antigen receptor (CAR) T-cell therapy has recently shown promise in treating glioblastoma, an aggressive brain cancer often with poor patient prognosis. Dexamethasone is a commonly prescribed anti-inflammatory medication due to the health complications of tumor associated swelling in the brain. However, the immunosuppressant effects of dexamethasone on the immunotherapeutic CAR T-cells are not well understood. To address this issue, we use mathematical modeling to study in vitro dynamics of dexamethasone and CAR T-cells in three patient-derived glioblastoma cell lines. We find that in each cell line studied there is a threshold of tolerable dexamethasone concentration. Below this threshold, CAR T-cells are successful at eliminating the cancer cells, while above this threshold, dexamethasone critically inhibits CAR T-cell efficacy. Our modeling suggests that in the presence of high dexamethasone reduced CAR T-cell efficacy, or increased exhaustion, can occur and result in CAR T-cell treatment failure.

cancer biology↗