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bioRxiv2025

VCAN is essential for ERK5-driven tumorigenesis in soft tissue sarcoma

The ERK5 signaling pathway has recently emerged as a critical regulator of soft tissue sarcoma (STS) biology, contributing to tumor initiation, progression, and maintenance. In this study, we identify VCAN, a chondroitin sulfate proteoglycan, as a novel transcriptional target of ERK5 and a central mediator of ERK5-related oncogenesis. Through a combination of genetic (silencing, overexpression) and pharmacological approaches, applied in both a chemically induced murine sarcoma model and several human STS cell lines, we demonstrate that ERK5 positively regulates VCAN expression. Functionally, VCAN silencing (by shRNAs) recapitulates the phenotypes of ERK5 silencing, including impaired migration, adhesion, proliferation, and tumorigenesis. Conversely, VCAN overexpression rescues these effects, confirming its essential role in ERK5-mediated oncogenesis. Furthermore, transcriptomic profiling reveals that VCAN accounts for a substantial portion of ERK5-regulated gene expression program. Analyses of human STS patient samples reveal significantly elevated mRNA levels of both VCAN and ERK5 compared to normal tissues. Notably, a strong correlation between VCAN and ERK5 expression, both at mRNA and protein levels, emerged in biopsies from leiomyosarcomas and undifferentiated pleomorphic sarcomas. Together, these findings uncover VCAN as a key effector in ERK5-driven tumorigenesis and highlight the ERK5/VCAN signaling axis as a promising therapeutic target in soft tissue sarcomas.

cancer biology↗

bioRxiv2023

Exploiting the therapeutic vulnerability of IDH-mutant gliomas with zotiraciclib

Isocitrate dehydrogenase (IDH)-mutant gliomas have distinctive metabolic and biological traits that may render them susceptible to targeted treatments. Here, by conducting a high-throughput drug screen, we pinpointed a specific susceptibility of IDH-mutant gliomas to zotiraciclib (ZTR). ZTR exhibited selective growth inhibition across multiple IDH-mutant glioma in vitro and in vivo models. Mechanistically, ZTR at low doses suppressed CDK9 and RNA Pol II phosphorylation in IDH-mutant cells, disrupting mitochondrial function and NAD+ production, causing oxidative stress. Integrated biochemical profiling of ZTR kinase targets and transcriptomics unveiled that ZTR-induced bioenergetic failure was linked to the suppression of PIM kinase activity. We posit that the combination of mitochondrial dysfunction and an inability to adapt to oxidative stress resulted in significant cell death upon ZTR treatment, ultimately increasing the therapeutic vulnerability of IDH-mutant gliomas. These findings prompted a clinical trial evaluating ZTR in IDH-mutant gliomas towards precision medicine (NCT05588141). HighlightsO_LIZotiraciclib (ZTR), a CDK9 inhibitor, hinders IDH-mutant glioma growth in vitro and in vivo. C_LIO_LIZTR halts cell cycle, disrupts respiration, and induces oxidative stress in IDH-mutant cells. C_LIO_LIZTR unexpectedly inhibits PIM kinases, impacting mitochondria and causing bioenergetic failure. C_LIO_LIThese findings led to the clinical trial NCT 05588141, evaluating ZTR for IDH-mutant gliomas. C_LI

cancer biology↗

bioRxiv2026

Humanized patient-derived xenografts preserve tumour-specific immune microenvironments

Defining the genetic and cellular programs that allow solid tumours to evade immune control requires preclinical models that preserve the complexity of the human tumour immune microenvironment. Most available systems capture only part of this biology. Organoid cultures and ex vivo tumour fragments can retain patient-derived tumour architecture and associated immune cells, but immune populations are typically maintained only for short periods. These models also cannot capture antitumour immune responses in the physiological setting of a living organism. Patient-derived xenografts propagated in humanized mice offer a potential path to overcome these limitations by combining patient-derived tumour tissue with a reconstituted human immune system. However, few studies have systematically tested whether these models reproduce the diverse immune cell phenotypes present in the parental tumours from which they are derived. This has limited their use for studying tumour-intrinsic mechanisms that shape immune composition and promote immune evasion. To address this gap, we profiled tumour-infiltrating, splenic, and bone marrow immune cells from ovarian, head and neck, and renal PDX models propagated in CD34+ hematopoietic stem cell (HSC)-derived huNOG-EXL mice expressing human IL-3 and GM-CSF. By comparing tumours grown across distinct HSC donor backgrounds with their matched primary tumour samples, we found that tumour-intrinsic factors are a dominant determinant of immune composition in humanized PDX tumours. Across models, these immune infiltrates generally resembled those of the corresponding parental tumours. These findings support humanized PDX models as a platform for functionally interrogating tumour-intrinsic drivers of immune composition and immune evasion in solid tumours.

cancer biology↗

bioRxiv2026

SOX11 stimulates γδ T-cell differentiation and synergizes with LMO2 and MYCN to drive γδ-like T-cell acute lymphoblastic leukemia

T-cell acute lymphoblastic leukemia (T-ALL) is a heterogeneous hematologic malignancy in which LMO2 {gamma}{delta}-like T-ALL represents a rare but clinically aggressive subtype associated with poor treatment response and inferior survival. Integrated transcriptomic analyses identified high SOX11 expression as a defining feature of high-risk LMO2 {gamma}{delta}-like T-ALL, where elevated SOX11 levels correlated with refractory disease and poor clinical outcome. To investigate the functional role of SOX11 in {gamma}{delta} T-cell biology and leukemogenesis, we generated a conditional R26-SOX11 mouse model enabling lineage-specific SOX11 overexpression in T-cell progenitors. SOX11 expression promoted expansion of the innate {gamma}{delta} T-cell compartment in thymus, spleen, and bone marrow, accompanied by transcriptional activation of {gamma}{delta} T-cell differentiation, activation, and cytotoxicity programs. However, SOX11 overexpression alone was insufficient to induce leukemia or confer thymocyte self-renewal capacity. In contrast, combined SOX11 and LMO2 overexpression markedly accelerated T-ALL development and strongly increased the incidence of {gamma}{delta}-like leukemias, thereby recapitulating the human high-risk LMO2 {gamma}{delta}-like T-ALL subtype. Mechanistically, SOX11 expanded the pre-leukemic DN3 thymocyte compartment in LMO2-driven mouse model while promoting differentiation toward the {gamma}{delta} lineage. Transcriptomic profiling identified activation of MYCN-associated transcriptional programs in SOX11/LMO2 pre-leukemic thymocytes. Consistently, MYCN was highly expressed in human LMO2 {gamma}{delta}-like T-ALL, and recurrent stabilizing MYCN P44L mutations were enriched in this subtype. Functional validation using genetic and transplantation-based mouse models demonstrated that SOX11 cooperates with MYCN to accelerate T-ALL onset. Together, these findings establish a cooperative SOX11-MYCN oncogenic axis driving {gamma}{delta}-like T-ALL and provide a novel preclinical model for investigating therapeutic vulnerabilities in this high-risk leukemia subtype.

cancer biology↗

bioRxiv2025

Active Liposomal Targeting for Head and Neck Squamous Cell Carcinoma Treatment

Head and neck squamous cell carcinoma (HNSCC) is a major oncological challenge due to its high recurrence rates, biological heterogeneity, and poor long-term survival outcomes. Despite advances in surgery and radiotherapy, chemotherapeutic options are limited. Cisplatin (CDDP) remains the mainstay, while small molecule inhibitors, such as the selective PI3K inhibitor Alpelisib, are still under clinical evaluation. However, systemic side effects and suboptimal tumor specificity hamper the clinical utility of both standard and novel specific therapies. In this study, we developed passive- and active-targeting liposomes encapsulating Cisplatin (CDDP) and Alpelisib. To achieve active targeting, the anti-epidermal growth factor receptor (EGFR) antibody Cetuximab was conjugated to the liposome surface. All formulations were characterized based on size, morphology, encapsulation efficiency, and drug release profiles. In vitro assays demonstrated that liposomal encapsulation preserved the cytotoxic effects of both CDDP and Alpelisib in HNSCC cell lines, with CDDP showing adequate encapsulation efficiency for in vivo evaluation. In vivo near-infrared fluorescence imaging demonstrated that active-targeting liposomes achieved greater tumor accumulation and a better tumor-to-spleen ratio compared to passive formulations. Tumor growth by CDDP-loaded activetargeting liposomes was comparable to that of the free drug, likely due to the hydrophilic nature and rapid release of CDDP from liposomes in physiological conditions. Importantly, blood chemistry analysis indicated a favorable toxicity profile for the targeted liposomal formulation. These findings highlight the potential of liposome-based targeted strategies to improve therapeutic outcomes in HNSCC and underscore the value of nanotechnology in the development of next-generation oncological therapies.

cancer biology↗

bioRxiv2025

Asymmetric induction of IL-23R by CpG and IL-15 in proliferative CLL fractions highlights intraclonal heterogeneity in chronic lymphocytic leukemia

Chronic lymphocytic leukemia (CLL) is sustained by complex interactions with the microenvironment, which provides signals for leukemic cell survival and proliferation. Among these, cytokines of the IL-12 family have emerged as relevant regulators of immune responses and tumor biology, yet their contribution to CLL remains incompletely defined. Previous studies showed that CLL cells can acquire responsiveness to IL-23 after T cell-dependent stimulation with CD40L, raising the question of whether T cell-independent signals can similarly induce functional receptor expression. Here we investigated the effect of CpG oligodeoxynucleotides, alone or in combination with interleukin-15 (IL-15), on IL-12 family receptor expression in CLL cells. We found that CpG + IL-15 stimulation significantly increased IL-23R and IL-12R{beta}1 expression, while IL-12R{beta}2 remained largely unresponsive. As a consequence, the complete IL-23 receptor complex was robustly induced, whereas IL-12 receptor assembly was only marginally enhanced. This skewing toward IL-23 rather than IL-12 signaling suggests that innate immune stimuli preferentially promote pathways supporting inflammation and survival, while limiting tumor-suppressive IL-12 responsiveness. Analysis of intraclonal heterogeneity revealed an asymmetric distribution of IL-23R among CXCR4/CD5-defined subfractions: the proliferative fraction, representing recently divided cells, expressed higher levels of IL-23R compared to the resting fraction. These findings suggest that IL-23 responsiveness is particularly enriched in the proliferating compartment of the leukemic clone. Overall, our results indicate that CpG and IL-15 stimulation drive a selective expansion of IL-23 signaling capacity in CLL, with preferential engagement of proliferative subfractions. This imbalance between IL-23 activation and insufficient IL-12R{beta}2 induction may represent a critical pathogenic mechanism and a potential therapeutic target.

cancer biology↗

bioRxiv2022

HeberFERON distinctively targets Cell Cycle in the glioblastoma-derived cell line U-87MG.

BackgroundHeberFERON is a co-formulation of 2b and {gamma} interferons, based on their synergism, that have shown its clinical superiority over individual interferons in basal cell carcinomas. In Glioblastoma (GBM), HeberFERON has shown promising preclinical and clinical results. This motivated us to design a microarray experiment aimed to identify the molecular mechanisms involved into the distinctive effect of HeberFERON compared with individual interferons. MethodsTranscriptional expression profiling including a control (untreated) and three groups receiving 2b-interferon, {gamma}-interferon and HeberFERON was performed using an Illumina HT-12 microarray platform. Unsupervised methods for gene and sample grouping, identification of differentially expressed genes, functional enrichment and network analysis computational biology methods were applied to identify distinctive patterns of HeberFERON action. Validation of most distinctive genes was performed by qPCR. Cell Cycle analysis of cell treated by HeberFERON for 24h, 48h and 72h was carried out by flow cytometry. ResultsThe three treatments show different behavior based on the gene expression profiles. Enrichment analysis identified several Mitotic Cell Cycle related events, in particular from Prometaphase to Anaphase, that are exclusively targeted by HeberFERON. FOXM1 transcription factor network which is involved in several Cell Cycle phases and is highly expressed in GBMs is significantly down regulated by HeberFERON. Flow cytometry experiments corroborated the action of HeberFERON over Cell Cycle in a dose and time dependent manner with a clear cellular arrest since 24h post-treatment. Despite the fact that p53 was not down-regulated by HeberFERON several genes involved in its regulatory activity were functionally enriched. Network analysis also revealed a strong relation of p53 with genes targeted by HeberFERON. We propose a mechanistic model to explain HeberFERON distinctive action, based on the simultaneous activation of PKR and ATF3, p53 phosphorylation changes as well as its reduced MDM2 mediated ubiquitination and export from nucleus to cytoplasm. PLK1, AURKB, BIRC5 and CCNB1 genes, all regulated by FOXM1, also play central roles in this model. These and other interactions could explain a G2/M arrest and the effect of HeberFERON over the proliferation of U-87MG. ConclusionsWe proposed molecular mechanisms underlying the distinctive behavior of HeberFERON compared to individual interferon treatments, where Cell Cycle related events showed the highest relevance.

cancer biology↗

bioRxiv2021

Tumor Microenvironment Alters Chemoresistance of Hepatocellular Carcinoma Through CYP3A4 Metabolic Activity

Variations in tumor biology from patient to patient combined with the low overall survival rate of hepatocellular carcinoma (HCC) present significant clinical challenges. During the progression of chronic liver diseases from inflammation to the development of HCC, microenvironmental properties, including tissue stiffness and oxygen concentration, change over time. This can potentially impact drug metabolism and subsequent therapy response to commonly utilized therapeutics, such as doxorubicin, multi-kinase inhibitors (e.g., sorafenib), and other drugs, including immunotherapies. In this study, we utilized four common HCC cell lines embedded in 3D collagen type-I gels of varying stiffnesses to mimic normal and cirrhotic livers with environmental oxygen regulation to quantify the impact of these microenvironmental factors on HCC chemoresistance. In general, we found that HCC cells with higher baseline levels of cytochrome p450-3A4 (CYP3A4) enzyme expression, HepG2 and C3Asub28, exhibited a cirrhosis-dependent increase in doxorubicin chemoresistance. Under the same conditions, HCC cell lines with lower CYP3A4 expression, HuH-7 and Hep3B2, showed a decrease in doxorubicin chemoresistance in response to an increase in microenvironmental stiffness. This differential therapeutic response was correlated with the regulation of CYP3A4 expression levels under the influence of stiffness and oxygen variation. In all tested HCC cell lines, the addition of sorafenib lowered the required doxorubicin dose to induce significant levels of cell death, demonstrating its potential to help reduce systemic doxorubicin toxicity when used in combination. These results suggest that patient-specific tumor microenvironmental factors, including tissue stiffness, hypoxia, and CYP3A4 activity levels, may need to be considered for more effective use of chemotherapeutics in HCC patients.

cancer biology↗

bioRxiv2026

Co-repression of Yap1 and Sox9 Abrogates Established Cholangiocarcinoma by Eliminating Transcriptional Compensation

Background/AimsIntrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its increasing incidence, aggressive biology, and limited treatment options. The extremely low-response rates to current systemic regimens and the emergence of adaptive resistance to targeted therapies underscore the urgent need for alternative therapeutic strategies. Given that the lineage-defining transcription factors SOX9 and YAP1 are central regulators of cholangiocyte and iCCA identity, we investigated their functional roles as potential therapeutic vulnerabilities across multiple preclinical models. MethodsPatient tissue-microarray (TMA) analysis, Sleeping-Beauty hydrodynamic tail vein injection-based iCCA models, and Cre-mediated inducible gene deletion systems were used to investigate the roles of Sox9 and Yap1. Deep-learning-based prediction, RNA-seq, ChIP-seq and immunohistochemistry analyses were performed to delineate transcriptional networks and downstream effectors associated with SOX9/YAP1 signaling. ResultsDual deletion of Sox9 and Yap1 effectively eradicated advanced iCCA while preserving intrahepatic bile ducts, regardless of oncogenic drivers. Mechanistically, SOX9 and YAP1 transcriptionally compensated for each other when one was absent, and ILF2, MGAT5, and WWTR1 were identified as key downstream effectors mediating this compensatory mechanism. Loss of Ilf2, Mgat5, or Taz suppressed iCCA, whereas overexpression of Ilf2 or Taz following Sox9/Yap1 co-deletion restored tumor development, indicating that ILF2 or TAZ can functionally substitute for YAP1 and SOX9 in sustaining iCCA. ConclusionsCo-targeting SOX9 and YAP1 offers a promising and safe broad-spectrum preventive/therapeutic approach for iCCA, potentially overcoming resistance to YAP1 inhibition. The adaptive resistance mechanism identified may extend to other malignancies, providing insights for addressing the advanced resistant to YAP1-TEAD-directed therapies.

cancer biology↗

bioRxiv2026

IL-32 is a stress-responsive node locked in a noncanonical NF-κB inflammatory loop during MASLD to HCC transition

BackgroundInterleukin-32 (IL-32) presents a long-standing paradox in liver disease, with markedly elevated expression in hepatocellular carcinoma (HCC) yet a protective role against hepatic steatosis. The absence of a canonical receptor or defined secretory pathway has obscured its biological function. This study aimed to resolve this paradox by delineating the regulatory mechanisms that govern IL-32 activity during hepatocarcinogenesis. MethodsWe analyzed two in-house prospective cohorts, including a MASLD cohort and a MASLD-associated HCC cohort, integrating matched transcriptomic and metabolomic data. Targeted lipidomics and multi-omics analyses were combined with single-cell and spatial transcriptomics. Key findings were validated using functional assays and gene perturbation models. ResultsWe identified a disease stage-specific transcriptional switch in which noncanonical NF-{kappa}B signaling (NFKB2/RELB) replaces canonical NF-{kappa}B as the primary activator of IL-32, forming an auto-amplifying inflammatory loop. This switch is enabled by FOXO1, which acts as a pioneer factor to maintain chromatin accessibility at IL32 and NF-{kappa}B loci. Functionally, IL-32 is coupled to lipid metabolism through DGAT2; however, this axis becomes uncoupled in HCC, where DGAT2 loss rewires NF-{kappa}B/ERK signaling without recapitulating global metabolic remodeling, thereby sensitizing cells to inflammatory activation. ConclusionsThese findings resolve the functional paradox of IL-32 by revealing a multi-layered regulatory network that reprograms its activity during liver disease progression, and define IL-32 as a context-dependent integrator of metabolic and inflammatory signaling, whose regulatory network is rewired during hepatocarcinogenesis to promote a sustained pro-inflammatory state. HighlightsO_LINoncanonical NF-{kappa}B (NFKB2/RELB) drives a self-amplifying IL-32 loop in HCC. C_LIO_LIFOXO1 licenses this switch by maintaining chromatin accessibility at IL32 and NF-{kappa}B loci. C_LIO_LIIL-32 shifts from a metabolic regulator in MASLD to an inflammatory driver in HCC. C_LI

cancer biology↗

bioRxiv2020

DriverGroup: A novel method for identifying drivergene groups

MotivationIdentifying cancer driver genes is a key task in cancer informatics. Most exisiting methods are focused on individual cancer drivers which regulate biological processes leading to cancer. However, the effect of a single gene may not be sufficient to drive cancer progression. Here, we hypothesise that there are driver gene groups that work in concert to regulate cancer and we develop a novel computational method to detect those driver gene groups. ResultsWe develop a novel method named DriverGroup to detect driver gene groups by using gene expression and gene interaction data. The proposed method has three stages: (1) Constructing the gene network, (2) Discovering critical nodes of the constructed network, and (3) Identifying driver gene groups based on the discovered critical nodes. Before evaluating the performance of DriverGroup in detecting cancer driver groups, we firstly assess its performance in detecting the influence of gene groups, a key step of DriverGroup. The application of DriverGroup to DREAM4 data demonstrates that it is more effective than other methods in detecting the regulation of gene groups. We then apply DriverGroup to the BRCA dataset to identify coding and non-coding driver groups for breast cancer. The identified driver groups are promising as several group members are confirmed to be related to cancer in literature. We further use the predicted driver groups in survival analysis and the results show that the survival curves of patient subpopulations classified using the predicted driver groups are significantly differentiated, indicating the usefulness of DriverGroup. Availability and implementationDriverGroup is available at https://github.com/pvvhoang/DriverGroup ContactThuc.Le@unisa.edu.au Supplementary informationSupplementary data are available at Bioinformatics online.

systems biology↗

bioRxiv2026

One-Carbon Metabolic Reprogramming Stratifies Prognosis and Defines Distinct Biological States in IDH1-Mutant Gliomas

Background: IDH1 mutations in diffuse gliomas undergo epigenetic transformation and metabolic stress, through accumulation of 2-hydroxyglutarate. While these tumours generally exhibit a less aggressive phenotype, significant prognostic heterogeneity persists. The extent to which the One Carbon Metabolism (OCM) network is rewired in IDH1-MT gliomas and its contribution to this heterogeneity remain poorly understood. Methods: We analysed the expression of 64 OCM genes using TCGA and CGGA transcriptomic datasets (n = 709). Composite OCM score, Cohen's d, PCA and driver gene analysis were used to quantify effect sizes between IDH1-WT and MT cohorts. Prognostic relevance was assessed using Kaplan-Meier and Cox regression analyses. OCM metabolic rewiring and dependency were validated using in vitro U87 IDH1-WT and IDH1-R132H mutant glioblastoma cell line models. Furthermore, immune microenvironment interactions were evaluated using CIBERSORTx to dissect OCM-associated correlations. Results: Using transcriptional profiling and targeted in-vitro validation, we reveal a distinct two-state metabolic phenotype governed by the OCM network. We demonstrate that while IDH1-MT tumors primarily rely on a suppressed metabolic phenotype, they are supported by compensatory mitochondrial pathways and an aggressive subset aberrantly hyperactivates specific proliferative OCM genes. This high aggregate OCM score was significantly associated with poor overall survival in the IDH1-MT cohort (CGGA HR = 1.61, p < 0.001), identifying an aggressive subset that predominates the favourable IDH mutation status. Functional validation showed aggressive IDH1-MT cells lose their baseline metabolic flexibility with changes in critical OCM genes and exhibit a strict auxotrophic dependence. Further, we also define that OCM rewiring was also associated with immune cell abundance, suggesting high OCM activity correlating with monocyte infiltration and low M2 macrophage polarisation. Conclusion: Our findings offer a framework to identify high-risk patients and propose translational strategies for IDH1-MT tumors that may be refractory to standard IDH inhibitors. Therefore, the study presents a conceptual model for metabolic precision therapy defining OCM metabolic subsets that distinguish indolent, mitochondrial-dependent tumours from aggressive, proliferation-dependent phenotypes in IDH1-MT gliomas.

cancer biology↗

bioRxiv2023

Radio-Immune Response Modelling for Spatially Fractionated Radiotherapy

Radiation-induced cell death is a complex process influenced by physical, chemical and biological phenomena. Strong dose gradient may intensify the complexity and reportedly creates significantly more cell death known as bystander effect. Although consensus on the nature and the mechanism of the bystander effect were not yet made, the immune process presumably plays an important role in many aspects of the radiotherapy including the bystander effect. Immune response of host body and immune suppression of tumor cells are modelled with four compartments in this study; viable tumor cells, T cell lymphocytes, immune triggering cells, and doomed cells. The growth of tumor was analyzed in two distinctive modes of tumor status (immune limited and immune escape) and its bifurcation condition. Tumors in the immune limited mode can grow only up to a finite size, named as terminal tumor volume analytically calculated from the model. The dynamics of the tumor growth in the immune escape mode is much more complex than the tumors in the immune limited mode especially when the status of tumor is close to the bifurcation condition. Radiation can kill tumor cells not only by radiation damage but also by boosting immune reaction. The model demonstrated that the highly heterogeneous dose distribution in spatially fractionated radiotherapy (SFRT) can make a drastic difference in tumor cell killing compared to the homogeneous dose distribution. SFRT can not only enhance but also moderate the cell killing depending on the immune response triggered by many factors such as dose prescription parameters, tumor volume at the time of treatment and tumor characteristics. The model was applied to the lifted data of 67NR tumors on mice and a sarcoma patient treated multiple times over 1200 days for the treatment of tumor recurrence as a demonstration.

cancer biology↗

bioRxiv2023

KRASG12D-mediated PanIN progression in mice is affected by gene driving cre recombinase expression

The fundamental biology of pancreatic ductal adenocarcinoma has been greatly impacted by the characterization of genetically modified mouse models that allow temporal and spatial activation of oncogenic KRAS (KRASG12D). The most commonly used model involves targeted insertion of a cre recombinase into the Ptf1a gene. However, this approach disrupts the Ptf1a gene, resulting in haploinsufficiency that likely affects sensitivity to oncogenic KRAS (KRASG12D). The goal of this study was to determine if Ptf1a haploinsufficiency affected the acinar cell response to KRASG12D before and after induction of pancreatic injury. We performed morphological and molecular analysis of three mouse lines that express a tamoxifen-inducible cre recombinase to activate KRASG12D in acinar cells of the pancreas. The cre-recombinase was targeted to the acinar-specific transcription factor genes, Ptf1a and Mist1/Bhlha15, or expressed within a BAC-derived Elastase transgene. Up to two months after tamoxifen induction of KRASG12D, morphological changes were negligible. However, induction of pancreatic injury by cerulein resulted in stark differences in tissue morphology between lines within seven days, which were maintained for at least five weeks after injury. Ptf1acreERT pancreata showed widespread PanIN lesions and fibrosis, while the Mist1creERT and Ela-creERT models showed reduced amounts of pre-neoplastic lesions. RNA-seq analysis prior to inducing injury suggested Ptf1acreERT and Mist1creERT lines have unique profiles of gene expression that predict a differential response to injury. Multiplex analysis of pancreatic tissue confirmed different inflammatory responses between the lines. These findings suggest understanding the mechanisms underlying the differential response to KRASG12D will help in further defining the intrinsic KRAS-driven mechanisms of neoplasia initiation.

cancer biology↗

bioRxiv2026

A dual-layer computational framework for prioritising therapeutic candidates targeting extracellular vesicle-mediated immune escape in pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterised by a highly immunosuppressive tumour microenvironment and limited therapeutic responses. Tumour-derived extracellular vesicles (EVs) contribute to PDAC progression by transferring immunomodulatory molecules and tumour-associated signals, suggesting EV-associated processes as potential intervention opportunities. However, the heterogeneity of EV biology and the complexity of tumour-immune interactions make single-target intervention strategies challenging. Here, we developed a computation-driven dual-layer candidate-prioritisation framework to identify potential modulators associated with PDAC EV-mediated immune escape through complementary production-side and action-side strategies. For the production-side layer, we focused on upstream processes related to EV biogenesis, cargo regulation, inflammatory signalling, and tumour-associated pathways. An 88-gene PDAC EV-associated target framework was integrated with cell-type-resolved prognosis annotations from ctPANDA and predicted targets of 18 natural products derived from Scutellaria baicalensis, Epimedium spp., and Cornus officinalis to prioritise natural-product candidates with disease relevance and potential chemical tractability. In parallel, key targets with experimentally resolved ligand-binding structures were subjected to pocket-guided de novo small-molecule design based on co-crystal ligand-defined binding sites, followed by structural, docking-based, and physicochemical screening of generated compounds. For the action-side layer, VHH and scFv binders were computationally designed and screened against extracellular regions of MET and CD81 to prioritise candidates potentially suitable for EV recognition and capture. This study provides a computational strategy for narrowing candidate spaces across both EV-associated production pathways and released vesicle recognition. The resulting small molecules, antibody-like binder models, and screening workflows provide a resource for future experimental validation of strategies targeting PDAC EV-associated immune regulation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/740294v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@11829b0org.highwire.dtl.DTLVardef@158efb5org.highwire.dtl.DTLVardef@1e17cc5org.highwire.dtl.DTLVardef@c69696_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2026

Single-Cell Analysis of Non-Functioning Gonadotroph Tumors Identifies Lineage Infidelity and Tumor Growth Programs

Non-functioning gonadotroph (NFG) tumors are the most common type of non-functioning pituitary adenomas and can cause significant symptoms due to mass effect. However, the molecular programs underlying NFG tumor growth and their relationship to the normal anterior pituitary gland (APG) are poorly understood. To gain a deeper understanding of NFG tumor biology in the context of the normal APG, we performed single-cell/nucleus RNA-sequencing on 21 NFG tumors and 8 APG samples in human, generating the largest transcriptomic dataset of its kind. Single-cell/nucleus sequencing yielded 77,342, cells from APG samples and 152,649 cells from NFG tumor samples. Differential expression analysis within the APG identified novel marker genes of each neuroendocrine cell type and defined distinct transcriptional signatures of anterior and posterior pituitary stem cell populations. Comparison with tumor transcriptomes revealed that NFG tumor cells most closely resemble gonadotrophs, while also showing significant enrichment of thyrotroph and somatotroph markers. Notably, there was no significant overlap with stem cell markers, suggesting that NFG tumors most likely originate from differentiated gonadotrophs but can take on transcriptional characteristics of other neuroendocrine cell types. Pseudobulk profiling of NFG tumor cells demonstrated that tumor volume is significantly positively correlated with 83 genes including known oncogenes CAD, BRF2, and SOX12, along with 16 zinc finger transcription factors. Lastly, analysis of the tumor microenvironment revealed proportional increases in myeloid, endothelial, and mural cell populations in tumor samples compared to APG samples and highlighted cross talk between tumor and endothelial, mesenchymal, and immune populations via VEGF, PDGF, and MIF signaling pathways respectively. This study identifies novel transcriptomic signatures determining cell type identity in both APG neuroendocrine and NFG tumor cells. Our findings elucidate molecular programs driving NFG lineage infidelity and tumor growth, highlighting candidate predictors of patient outcomes and potential targets for therapeutic intervention.

cancer biology↗

bioRxiv2026

Keratin 17 Defines an Epithelial-Mesenchymal Transition-Associated Migratory Cell State in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is characterized by early invasion, metastasis, and therapeutic resistance that contribute substantially to its poor clinical outcome. Keratin 17 (K17) is a recognized marker of the aggressive basal-like subtype of PDAC and an independent predictor of adverse prognosis; however, the biological basis for this association remains incompletely understood. To define K17-associated cellular programs, we integrated single-cell RNA sequencing (scRNA-seq) data from 42 patients, Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteomic data from 140 tumors, MACSima multiplex spatial imaging of 63 patients, dual-plex immunohistochemistry of 60 cases, and three-dimensional spheroid migration assays. Single-cell transcriptomic analysis demonstrated significant enrichment of epithelial-mesenchymal transition (EMT)-associated gene programs among K17-positive malignant epithelial cells. Consistent with this finding, K17-positive tumors in the CPTAC cohort exhibited enrichment of the Hallmark EMT pathway at the protein level. Among six candidate markers identified through transcriptomic analyses, laminin subunit gamma-2 (LAMC2) was the only candidate associated with K17 at every validation step. Tumors positive for both K17 and LAMC2 had significantly worse overall survival than double-negative tumors (adjusted hazard ratio = 2.53). Multiplex spatial imaging localized K17-positive cells predominantly to poorly differentiated tumor regions and demonstrated frequent single-cell co-expression with LAMC2. Whole-slide dual-plex immunohistochemistry further confirmed the association between K17 and LAMC2 and showed progressive enrichment of K17/LAMC2-positive tumor cells with increasing intratumoral histologic grade. Functionally, gain- and loss-of-function studies in three-dimensional PDAC spheroids demonstrated that K17 promotes migratory outgrowth, and differences in proliferation did not account for this effect. Collectively, these findings identify K17 as a marker of a poorly differentiated, EMT-associated migratory cell state in PDAC and provide functional evidence that K17 contributes to tumor-cell migration.

cancer biology↗

bioRxiv2026

SWI/SNF Alterations Define a Chromatin-Dependent Subtype of Urothelial Carcinoma

PurposeSWI/SNF (BAF) chromatin remodeling complex alterations are common in urothelial carcinoma, yet no biomarker-directed therapeutic strategies have been established for this population. We investigated whether BAF alterations delineate a biologically distinct, therapeutically actionable urothelial carcinoma subtype. Experimental DesignWe performed integrative genomic and transcriptomic analyses of 792 urothelial carcinoma tumors from the Oncology Research Information Exchange Network (ORIEN) and validated findings in the TCGA-BLCA cohort. Mechanistic studies incorporated RNA sequencing and ATAC-seq following histone deacetylase (HDAC) inhibition. Functional dependencies were assessed using patient-derived xenograft organoids and cell line models. Clinical relevance was explored in a biomarker-enriched investigator-initiated trial. ResultsApproximately half of urothelial carcinoma tumors exhibited BAF alterations, defining a previously unrecognized chromatin-altered molecular subtype characterized by activation of proliferative programs, loss of lineage identity, and altered metabolic signaling. This subtype was enriched for transcriptomic programs associated with HDAC inhibitor sensitivity and depleted of HDAC inhibitor resistance signatures. Mechanistically, HDAC inhibition induced widespread chromatin remodeling with reduced accessibility at AP-1 and TEAD-associated regions, and downregulation of E2F- and MYC-driven transcriptional networks. Functional studies confirmed enhanced HDAC inhibition sensitivity in ARID1A-mutated cell lines and a patient-derived organoid model. Early clinical observations demonstrated a durable responder treated with HDAC inhibitors and immunotherapy. ConclusionsBAF alterations define a chromatin-dependent tumor state in urothelial carcinoma that is selectively vulnerable to HDAC inhibition. Integrating genomic, epigenomic, functional, and early clinical evidence, these findings provide a rationale for biomarker-enriched clinical trials and HDAC inhibitor-based combination strategies in urothelial carcinoma.

cancer biology↗