Biology subjects

Willey, C. D.

Publications and source records attributed to Willey, C. D..

7 recordsLinked to original sources

bioRxiv2026

Collagen-dependent DDR1 ectodomain shedding regulates proliferative signaling in radiation-resistant glioblastoma

Glioblastoma (GBM) is characterized by near-universal recurrence and resistance to therapy. Although tumor-intrinsic mechanisms of radiation resistance have been extensively studied, how the extracellular matrix influences signaling in radiation-resistant GBM remains poorly understood. Here, we investigated discoidin domain receptor 1 (DDR1), a collagen-activated receptor tyrosine kinase, using matched radiation-sensitive parental and radiation-resistant patient-derived GBM models generated through serial in vivo irradiation. Within a three-dimensional collagen I matrix, radiation-resistant GBM cells exhibited distinct temporal patterns of Ki-67 positivity and ERK1/2 phosphorylation compared with parental cells. Despite increased DDR1 expression, radiation-resistant cells exhibited markedly reduced DDR1 phosphorylation and enhanced ectodomain shedding, characterized by accumulation of the membrane-associated C-terminal fragment and release of the N-terminal fragment. DDR1 depletion reduced ERK1/2 phosphorylation, supporting its contribution to ERK1/2 signaling under these conditions. ADAMTS1 was markedly upregulated in radiation-resistant cells, and its knockdown reduced DDR1 ectodomain shedding while increasing full-length DDR1 abundance, ERK1/2 and RB phosphorylation, cyclin D1 expression, and Ki-67 positivity. Together, these findings reveal a distinct DDR1 regulatory state in acquired radiation-resistant GBM, characterized by enhanced ADAMTS1-associated ectodomain shedding, reduced receptor phosphorylation, and attenuated proliferative signaling within a three-dimensional collagen I matrix.

cancer biology↗

bioRxiv2026

SON-mediated circular RNA suppression promotes PKR signaling and radiation resistance in glioblastoma

Glioblastoma (GBM) exhibits extensive loss of circular RNAs (circRNAs), yet the mechanisms driving this depletion and its functional consequences remain unclear. Here, we identify the splicing co-factor SON as a previously unrecognized suppressor of circRNA biogenesis in GBM. CircRNA sequencing revealed widespread increases in circRNA abundance following SON knockdown. Conversely, elevated SON expression in GBM, with further increases in radiation-resistant models, was associated with widespread circRNA loss, including reduced expression of circUSP1 and circSUCO. SON knockdown increased circRNA abundance and attenuated activation of the dsRNA-responsive kinase PKR and downstream NF{kappa}B signaling, whereas radiation-resistant GBM cells exhibited enhanced PKR/NF{kappa}B activation that was attenuated by SON depletion. Importantly, overexpression of the SON-suppressed circRNAs circUSP1 and circSUCO reduced PKR activation and selectively decreased clonogenic survival following irradiation in radiation-resistant GBM cells, with little effect on parental cells. Together, these findings identify a previously unrecognized SON/circRNA/PKR regulatory pathway linking RNA processing to acquired radiation resistance in GBM and highlight specific PKR-inhibitory circRNAs as potential therapeutic tools for resensitizing radiation-resistant GBM to radiotherapy.

cancer biology↗

bioRxiv2026

ST6GAL1 sialyltransferase promotes acinar cell survival and tissue regeneration during pancreatitis

The role of aberrant glycosylation in pancreatitis remains an under-investigated area of research. Here, we determined that the ST6GAL1 sialyltransferase, which adds 2-6-linked sialic acids to N-glycoproteins, was upregulated in pancreatic tissues from patients with acute (AP) and chronic (CP) pancreatitis, and in mice with experimental AP. Within these tissues, ST6GAL1 was selectively expressed in acinar cells undergoing acinar to ductal metaplasia (ADM), a process whereby injured acinar cells de-differentiate and re-enter the cell cycle to enable tissue repair. To study the functional role of ST6GAL1 in pancreatitis, we used HPNE pancreatic epithelial cells with modulated ST6GAL1 expression, along with pancreatic organoids from mice with transgenic expression of ST6GAL1 (SC mice). In these models, ST6GAL1 activity promoted the activation of EGFR (a well-known ADM-driver), ERK, and AKT. ST6GAL1-expressing cells also displayed an ERK-dependent upregulation of the anti-apoptotic proteins, Mcl-1 and Bcl-xL, and impaired apoptotic signaling by the TNFR1 and Fas death receptors. Unbiased kinomics profiling revealed that ST6GAL1 induced the activation of many receptor tyrosine kinases associated with cell survival and proliferation (e.g., EGFR, PDGFR, MET). Furthermore, ST6GAL1 enhanced the survival and proliferation of cells exposed to stress-inducing conditions such as serum withdrawal. Based on these findings, we hypothesized that the pro-survival phenotype imparted by ST6GAL1 would facilitate tissue healing following a bout of pancreatitis. Accordingly, we induced AP in wild type and SC mice via L-arginine injection and found that SC mice had more rapid and efficient tissue repair, evidenced by accelerated restoration of the acini, diminished acinar apoptosis, and reduced immune cell infiltration. Together, these findings highlight a novel glycosylation-dependent mechanism that drives cell survival, positioning ST6GAL1 as a key adaptive mediator of pancreatic regeneration.

cell biology↗

bioRxiv2026

Small-RNA Profiling Links 5'-tRNA Halves to Post-therapeutic Disease Persistence and Poor Patient Survival in Glioblastoma

Glioblastoma (GBM) is a highly lethal brain cancer with limited therapeutic durability, where the majority of patients develop recurrent or persistent disease after standard chemoradiotherapy. Meanwhile, tRNA-derived fragments (tRFs) have become increasingly relevant to cancer biology; however, their clinical relevance in GBM remains undefined. Here, we report that a specific family of tRFs, 5-tRNA halves (tiR5s) dominates the small RNA landscape of GBM patient tumors and associates with worse overall survival, post-therapeutic disease persistence, and pro-invasive proteogenomic pathways across two independent GBM patient cohorts. This association between elevated tiR5 levels and therapeutic resistance re-emerges in radiation-resistant GBM xenograft models. Our findings reveal that tiR5s are an underappreciated molecular feature of highly aggressive GBM tumors, supporting further investigation into their biological roles and prognostic utility in GBM. HighlightsO_LItiR5s are the predominant tRF family in primary GBM patient tumors C_LIO_LIElevated tiR5 expression distinguishes primary GBM tumors that develop persistent disease after first-line therapy C_LIO_LIRadiation-resistant GBM PDX models show elevated tiR5 expression C_LIO_LIElevated tiR5 expression associates with poor overall patient survival and pro-invasive molecular programs in GBM patient tumors C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/738483v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@3219d5org.highwire.dtl.DTLVardef@13e09b8org.highwire.dtl.DTLVardef@1f0328borg.highwire.dtl.DTLVardef@867b09_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2025

GOALS: Gene Ontology Analysis with Layered Shells for Enhanced Functional Insight and Visualization

Gene Ontologies (GOs) are standardized descriptions of gene functions in terms of biological processes, molecular functions, and cellular components, capturing their Parent-Child relationships in a structured framework and advancing cancer biological modeling to provide consistent and meaningful insights into functional genomics analysis. The conventional GO hierarchical structure is defined by human curation experts, with levels determined by the shortest path to the root term. However, grouping GOs poses challenges due to the uneven distribution of gene members within GO terms and inconsistencies in the level of detail across terms at the same GO level. In this work, we introduce Gene Ontology Analysis using Layered Shells (GOALS), a novel tool that discretizes GOAs into optimal layers. GOALS creates scalable GO layers while maintaining a balanced number of genes across GOs in each layer. Unlike existing tools, the GOALS framework organizes GO terms using a bottom-up approach based on their co-membership network, discretizing GOs to achieve an exponential fit with GOs gene member size. Meanwhile, GOALS reveals clusters or supersets reflecting biological relevance by unsupervised clustering of GOs latent projections. In a case study on mouse natural killer (NK) cell development, GOALS identified distinct GO functional clusters with multi-GO layers to reveal multiple levels of detail from specific to abstract contexts to maximize signal discovery and uncover those signals associations with trajectory divergence. More importantly, GOALS enhances enrichment analysis by introducing additional GO stratification and latent GO map that enables more accurate classification of functional differences. GOALS offers a robust and innovative framework for exploring disordered GO clusters, mining GO activities, and analyzing potential GO-GO interplays. By addressing critical challenges in functional genomics, GOALS provides a powerful tool for advancing our understanding of cell heterogeneity and potentially uncovering actionable insights for therapeutic development.

bioinformatics↗

bioRxiv2024

Explorative Discovery of Gene Signatures and Clinotypes in Glioblastoma Cancer Through GeneTerrain Knowledge Map Representation

This study introduces the GeneTerrain Knowledge Map Representation (GTKM), a novel method for visualizing gene expression data in cancer research. GTKM leverages protein-protein interactions to graphically display differentially expressed genes (DEGs) on a 2-dimensional contour plot, offering a more nuanced understanding of gene interactions and expression patterns compared to traditional heatmap methods. The research demonstrates GTKMs utility through four case studies on glioblastoma (GBM) datasets, focusing on survival analysis, subtype identification, IDH1 mutation analysis, and drug sensitivities of different tumor cell lines. Additionally, a prototype website has been developed to showcase these findings, indicating the methods adaptability for various cancer types. The study reveals that GTKM effectively identifies gene patterns associated with different clinical outcomes in GBM, and its profiles enable the identification of sub-gene signature patterns crucial for predicting survival. The methodology promises significant advancements in precision medicine, providing a powerful tool for understanding complex gene interactions and identifying potential therapeutic targets in cancer treatment.

bioinformatics↗

bioRxiv2019

Therapeutically actionable PAK4 is amplified, overexpressed and involved in bladder cancer progression

Muscle-invasive bladder carcinomas (MIBCs) are aggressive genitourinary malignancies. Disease incidence and survival rates vary based on aggressiveness and treatment options. Metastatic urothelial carcinoma of the bladder is generally incurable by current chemotherapy and leads to early mortality. For a minority ([~]20%) of patients, T-cell checkpoint inhibitors provide durable benefits following prior platinum therapy. Recent studies have identified molecular subtypes of MIBCs with different sensitivities to frontline therapy, suggesting heterogeneity in these tumors and pointing to the importance of molecular characterization of MIBCs to provide effective treatment. We have performed multi-omic profiling of the kinome to identify therapeutic targets that are overexpressed in a subset of BLCAs. Our analyses revealed amplification and overexpression of P21 (RAC1) activated kinase 4 (PAK4) in a subset of BLCAs. For these tumors, multiplex kinase assay profiling identified corresponding PAK4 target substrates. By performing experiments using cultured bladder cancer cells, we confirmed the role of PAK4 in BLCA cell proliferation and invasion. Furthermore, our studies showed that a PAK4 inhibitor was effective in curtailing growth of BLCA cells. Transcriptomic analyses identified elevated expression of another kinase, Protein Tyrosine Kinase 6 (PTK6), upon treatment with a PAK4 inhibitor. Similarly, RNA interference of PAK4 led to elevated expression of PTK6. Treatment with a combination of kinase inhibitors (vandetanib and dasatinib) showed enhanced sensitivity compared to either drug alone. Thus, PAK4 may be therapeutically actionable for a subset of MIBC patients with amplified and/or overexpressed PAK4 in their tumors. Our results also indicate that combined inhibition of PAK4 and PTK6 may overcome resistance to PAK4. These observations warrant clinical investigations with selected BLCA patients.

cancer biology↗