Molecular Cancer

Oncolytic virotherapy is an innovative approach to cancer treatment that uses replication-competent viruses to selectively target and destroy cancer cells while leaving healthy tissues largely unaffected. Zika virus (ZIKV), a neurotropic orthoflavivirus, has recently gained attention as a potential oncolytic agent due to its ability to infect neural-derived cells and suppress tumor growth in preclinical models. Although existing studies have examined ZIKVs oncolytic effects, the mechanisms underlying these effects remain largely unexplored. Additionally, the roles of individual ZIKV proteins and their interactions with host factors remain incompletely understood. Here, we used RNA sequencing, affinity purification-mass spectrometry, and functional assays to uncover previously unidentified mechanisms underlying ZIKVs oncolytic activity in pediatric neural tumors. We found that the ZIKV non-structural proteins NS4A and NS5 exert oncolytic effects, reducing tumorsphere size. ZIKV-host protein-protein interaction networks were characterized and showed that integrin 3 (gene: ITGA3), a mediator of cell-matrix adhesion, interacts with ZIKV NS2B and NS4A. Integrin 3 was further shown to be involved in ZIKV- and NS4A-induced tumorsphere size reduction, while ITGA3 knockdown and ZIKV infection additively inhibited 3D invasion. These findings provide critical mechanistic insights that could inform the rational design of ZIKV-based virotherapies and highlight opportunities for combination treatment strategies.

Epithelial ovarian cancer (EOC) is characterized by high relapse rates and the development of drug resistance, driven by adaptive DNA repair and survival pathways. Here, we develop a multimodal, chemically engineered miRNA therapeutic, MTX-5-FU-Gem-miR-15a, that integrates tumor-suppressive miR-15a activity with chemotherapeutic modifications and tumor-targeting capability. This modified miRNA exhibits potent nanomolar activity across diverse EOC models, including PARP inhibitor-resistant cells, without requiring delivery vehicles. Mechanistically, MTX-5-FU-Gem-miR-15a induces replication stress while suppressing G2/M checkpoint regulators (WEE1 and CHK1), resulting in genomic instability and apoptotic cell death. Transcriptomic and protein-level analyses revealed coordinated suppression of resistance-associated and oncogenic signaling pathways, alongside activation of DNA damage coupled with checkpoint abrogation and potential innate immune response. MTX-5-FU-Gem-miR-15a also demonstrates strong synergy with olaparib and robust antitumor efficacy in vivo. These findings establish a multimodal miRNA-based therapeutic strategy that targets replication stress and checkpoint dependency to overcome PARPi resistance in ovarian cancer.

Differentiation-based therapies represent a promising strategy for the treatment of neuroblastoma; however, single-agent approaches frequently yield incomplete and transient responses due to the robustness of underlying gene regulatory networks. MicroRNAs (miRNAs) are endogenous regulators of gene expression that modulate entire gene programs rather than individual molecular targets, making them attractive candidates for network-level therapeutic intervention. While individual miRNAs have been investigated as therapeutic agents, the potential for synergistic interactions between miRNAs remains largely unexplored. Here, we developed a scalable high-content phenotypic screening platform to identify synergistic miRNA combinations that promote neuronal differentiation and growth arrest in neuroblastoma cells. Using SK-N-BE(2)-C cells and automated quantification of neurite outgrowth and confluence, we screened pairwise combinations of differentiation-associated miRNAs at submaximal doses. Candidate synergistic interactions were identified using the Highest Single Agent framework and subsequently validated by dose-response interaction modeling. We identified a robust synergistic interaction between miR-124-3p and miR-363-3p that exceeded zero-interaction potency expectations by approximately 20.9% and increased maximal differentiation-associated phenotypic response by 73% relative to single-miRNA treatments. Target gene and pathway enrichment analyses revealed that miR-124-3p and miR-363-3p regulate largely distinct but functionally complementary target gene sets. These complementary targets converged on neuronal differentiation and cell cycle control pathways, providing a mechanistic basis for their cooperative activity. Together, these findings establish miRNA combinations as programmable network regulators capable of inducing complex cellular phenotypes with greater efficacy than single agents. This work provides a conceptual and experimental framework for the rational discovery of synergistic miRNA therapeutics and suggests new avenues for differentiation-based treatment strategies in neuroblastoma and other diseases driven by dysregulated regulatory networks.

Diffuse hemispheric gliomas (DHGs) are highly aggressive and infiltrative CNS tumors that are refringent to treatment, and with a 5-year overall survival of around 20%. A fraction of DHGs is driven by mutations in the histones H3.1 and H3.3. In this study, we demonstrate that the expression of histone H3.3 glycine 34 to arginine mutations (H3.3-G34R) result in the epigenetic and transcriptional activation of the NF-{kappa}B signaling pathway in DHG. To target this vulnerability, we designed high density lipoprotein (HDL) nanoparticles loaded with unmethylated CpG dinucleotides, which mimic the immune stimulatory activity of bacterial DNA. CpG are recognized by Toll-like receptor 9 (TLR9), activating the NF-{kappa}B signaling. The CpG-mediated NF-{kappa}B activation results in the release of immuno-stimulating cytokines that promote an antitumoral response. As we previously established that G34-mutant DHGs are characterized by DNA repair impairment, we combined CpG dinucleotides with a PARP (poly (ADP-ribose) polymerase) inhibitor, olaparib, in the HDL nanoparticles.

Oncogene amplification is a key driver of tumorigenesis and a perpetuator of genomic instability. Oncogene amplification accelerates cancer cell proliferation and evolution, contributing substantially to the enhancement of adaptation mechanisms, such as treatment resistance, which pose a significant therapeutic challenge. However, previous studies have shown oncogene amplification to be a critical vulnerability, rendering cancer cells, but not normal cells, susceptible to targeted, CRISPR-Cas9 nickase - mediated DNA damage and cell death in vitro. Here, we demonstrate the initial framework for the translation of this potential therapeutic approach utilizing Cas9D10A - mRNA and functionalized lipid nanoparticles for the targeted delivery, and suppression of disseminated MYCN-amplified neuroblastoma in vivo.

BackgroundTransposable elements (TEs) account for over half of the human genome and are often derepressed in cancer. TEs can add cryptic splice sites, undergo exonization, and generate gene-TE fusion transcripts, but the combined effects of TEs on RNA processing and translation in glioblastoma stem cells (GSCs) remains incompletely elucidated. ResultsWe combined long-read RNA sequencing with polysome profiling in four patient-derived GSCs and two neural stem cell (NSC) controls to resolve TE-associated transcript diversity and its relationship to ribosomal engagement. Across GSCs, we identified 13,421 alternative splicing (AS) events, 3,077 of which contained TEs within 150 bp of splice junctions. AS sites proximal to TEs were associated with increased isoform switching compared to non-TE-associated AS sites (odds ratio 2.9 - 4.3). Moreover, AS isoforms generated from TE-proximal sites were more likely to exhibit altered ribosomal association (odds ratio 2.54). Directional shifts were observed, with shorter isoforms associating with monosome fractions and longer isoforms with polysome fractions. To enable systematic detection of gene - TE chimeric transcripts, we developed FuTER (Fusion TE Reporter), a long-read-based framework for identifying TE-associated fusions. Application to GSC datasets identified 78 GSC enriched fusion transcripts, several supported by breakpoint-spanning reads in polysome fractions, consistent with ribosome association. ConclusionsOur data suggest that TEs correlate with abnormal splicing activity and altered ribosome engagement in glioblastoma stem cells. By integrating long-read sequencing with polysome profiling and fusion detection, we establish a framework for analysis of TE-induced transcript diversity and its effects on cancer evolution and plasticity.

BackgroundResistance to 5-fluorouracil (5-FU)-based chemotherapy is a major clinical obstacle in colorectal cancer (CRC), highlighting the urgent need to overcome established resistance mechanisms. MicroRNA-based therapeutics have emerged as compelling candidates in this context, given their inherently pleiotropic mode of action; however, their clinical translation remains hindered by poor stability and suboptimal delivery. MethodsTo address these limitations, Gem-miR-15a, a unique gemcitabine-modified tumor-suppressor microRNA-15a was designed to synergistically integrate the tumor-suppressive activity of miR-15a with the chemotherapeutic potency of gemcitabine into a single molecular entity. Therapeutic efficacy of Gem-miR-15a was evaluated across a spectrum of preclinical models, including parental and drug-resistant CRC cell lines, 3D tumor spheroids, patient-derived organoids and in vivo metastatic models. Cell viability, apoptosis and cell cycle analyses were performed, along with RNA sequencing and protein validation. Statistical analyses were conducted using Students t-test or two-way ANOVA with mixed effects, and data were presented as mean {+/-} SD. ResultsGem-miR-15a exhibited potent anti-proliferative activity with IC50 values in the low nanomolar range, achieving [~]100-5000-fold greater potency relative to 5-FU and oxaliplatin. Importantly, it retained efficacy in both 5-FU- and oxaliplatin-resistant CRC models, effectively overcoming acquired chemoresistance. Mechanistically, Gem-miR-15a induced S-phase cell cycle arrest, eliminated the G2-phase cell population, and triggered apoptosis, accompanied by suppression of key oncogenic targets including WEE1, CHK1, YAP1 and BMI1. RNA-seq analysis further demonstrated modulation of pathways such as p53 signaling and reversal of resistance-associated gene expression, that were corroborated at the protein level. In vivo, Gem-miR-15a significantly reduced tumor growth at a dose [~]12-fold lower than gemcitabine, with no observable toxicity. ConclusionGem-miR-15a represents a potent, multi-targeted therapeutic strategy capable of overcoming chemoresistance in CRC. Its enhanced stability, effective delivery and robust efficacy across resistant models and a favorable safety profile highlight its strong potential for clinical translation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=119 SRC="FIGDIR/small/720825v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@c20034org.highwire.dtl.DTLVardef@9b8478org.highwire.dtl.DTLVardef@161f1dorg.highwire.dtl.DTLVardef@54d826_HPS_FORMAT_FIGEXP M_FIG C_FIG

Thoracic malignancies, including lung adenocarcinoma (ADC) and malignant pleural mesothelioma (MPM), remain associated with poor prognosis and limited durable therapeutic responses in advanced stages. Although targeted therapies and immunotherapy have improved outcomes in selected patients, systemic chemotherapy continues to play a central role in routine clinical practice. However, treatment response is highly heterogeneous, and reliable predictive biomarkers of chemotherapy sensitivity are lacking. Both ADC and MPM frequently involve the pleural cavity and are commonly associated with malignant pleural effusion (MPE), which contributes to symptoms such as dyspnea and chest pain and requires therapeutic drainage. Importantly, MPE represents a clinically accessible source of viable tumor cells obtained through minimally invasive procedures. In this study, we established patient-derived organoids (PDOs) from malignant pleural effusion samples obtained from five patients with advanced lung adenocarcinoma and, as an exploratory extension, from one patient with malignant pleural mesothelioma. Organoids were characterized by immunohistochemistry and subjected to systematic chemotherapy drug screening. Inter-model variability in treatment response was assessed, and selected drug sensitivities were further validated through dose-response assays. Pleural effusion-derived organoids successfully recapitulated tumor-specific phenotypic features and revealed marked heterogeneity in chemotherapy sensitivity across models. Secondary validation confirmed the reproducibility of selected responses. Our findings support the feasibility of generating functional organoid models from malignant pleural effusions and highlight their potential as translational platforms for individualized chemotherapy profiling in advanced thoracic malignancies.

Malignant peripheral nerve sheath tumors (MPNSTs) are highly aggressive sarcomas with poor prognosis and a strong tendency for metastasis and relapse. Surgical removal remains the mainstay of treatment but is frequently ineffective or impractical. Currently, no effective targeted therapy exists for this type of malignancy. PRMT5 has recently emerged as a promising therapeutic target in various human cancers with MTAP loss, which results in cancer cell dependency on PRMT5 activity. The frequent loss of MTAP in MPNSTs suggests that PRMT5 inhibition is a promising therapeutic option and enables the stratification of cancer patients with few treatment options. We first examined human nerve sheath tumor samples and found that increased PRMT5 expression and activity correlated with MTAP loss in 86.8% (33/38) of MPNSTs and in atypical neurofibromatous neoplasm with uncertain biologic potential (ANNUBP) (5/5). When PRMT5 activity was inhibited genetically and chemically, the cell growth of MTAP-deficient MPNST cell lines was suppressed, but not that of MTAP-proficient MPNST cell lines. Moreover, in the PRMT5-inhibited MTAP-deficient MPNST cell lines, spontaneous DNA damage accumulation was observed following G2/M cell cycle arrest. The DNA replication stress marker RPA32 decreased, and CHK1 was activated early after PRMT5 knockdown, likely contributing to the accumulation of DNA damage. In addition, we combined PRMT5 inhibition with the DNA-damaging agents doxorubicin and gemcitabine, resulting in synergistic effects and increased cancer cell death in MTAP-deficient MPNST cell lines. Together, these findings identify PRMT5 as a compelling therapeutic target in MTAP-deficient MPNSTs. This PRMT5 inhibition strategy has strong translational potential for MPNSTs. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=181 SRC="FIGDIR/small/710638v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@15abc35org.highwire.dtl.DTLVardef@1fa4ebborg.highwire.dtl.DTLVardef@470c51org.highwire.dtl.DTLVardef@79cc3f_HPS_FORMAT_FIGEXP M_FIG C_FIG

Glioblastoma (GBM) is a highly aggressive brain tumor characterized by extensive heterogeneity, diffuse invasion, and recurrence despite multimodal therapy. Aberrant transcriptional programs driven by oncogenic signaling pathways sustain GBM growth, stemness, and therapy resistance, yet targeting individual molecular nodes has yielded limited clinical benefit. Here, we introduce a transcriptional rewiring strategy based on an engineered epigenetic silencer factor (ESF) targeting the YAP/TAZ-TEAD axis. We developed a TEAD1 Epigenetic Silencer (TES) by fusing the DNA-binding domain of TEAD1 to repressive epigenetic modules. TES selectively binds TEAD genomic targets and imposes stable transcriptional repression of YAP/TAZ-dependent gene programs through chromatin remodeling and DNA methylation. Genome-wide analyses revealed that TES preserves TEAD1 DNA-binding specificity while converting an oncogenic transcriptional platform into a repressive state. Functionally, TES impaired proliferation, induced cell death, and reduced migratory and invasive properties in glioma cell lines and patient-derived cancer stem-like cells. In vivo, TES significantly reduced tumor growth in orthotopic GBM xenograft models and enhanced the therapeutic efficacy of temozolomide. Importantly, TES was well tolerated by normal neural cells in vitro and in the adult mouse brain in vivo. These findings establish TES as a proof-of-concept epigenetic therapy to durably suppress oncogenic transcriptional networks in GBM.

Head and neck squamous cell carcinoma (HNSCC) remains associated with substantial morbidity and a 5-year overall survival rate of approximately 60%, reflecting persistent radio- and chemo-resistance and the lack of effective precision medicine strategies. Patient-Derived Tumor Organoids (PDTO) constitute promising functional models that may predict individual treatment response. In this study, we generated PDTO from surgically resected HNSCC of the oral cavity, oropharynx, larynx, and hypopharynx. A total of 20 long-term PDTO lines were established, maintaining growth over seven passages and successfully cryopreserved, capturing the molecular and clinical diversity of the patient cohort. These PDTO faithfully recapitulated histological features, major tumor marker expression, and the genomic and transcriptomic landscapes of their tumors of origin, with stability over time. Functional assays revealed heterogeneous responses to cisplatin and X-rays. Importantly, in vitro sensitivity of PDTO was associated with clinical outcome of patients at 24 months. Cisplatin response of PDTO predicted prognosis with 66.7% sensitivity and 100% specificity, while X-ray response showed 91.7% sensitivity and 75% specificity. Notably, all patients whose PDTO were classified as resistant to both cisplatin and X-rays experienced relapse and/or death within 24 months. Collectively, the successful long-term expansion and cryopreservation of HNSCC PDTO establish a stable and scalable preclinical resource that captures the molecular and clinical heterogeneity of the disease. This biobank provides a valuable platform for mechanistic studies and for the evaluation of innovative therapeutic strategies. This cohort represents one of the largest clinically annotated HNSCC PDTO collections to date, demonstrating a robust association between PDTO response to cisplatin and X-rays and patient prognosis. These findings support the predictive potential of PDTO-based functional assays and argue for their integration into standardized, rapid, and miniaturized precision oncology workflows for HNSCC.

Patients with advanced non-small cell lung cancer (NSCLC) and mutations in epidermal growth factor receptor (EGFR) benefit from EGFR tyrosine kinase inhibitors (TKIs). Osimertinib, a third-generation EGFR TKI, is standard first-line therapy for EGFR-mutated NSCLC, but most patients develop resistance to it. Here, we demonstrate that increased formation of primary cilia, microtubule-based sensory organelles, is associated with osimertinib-refractory NSCLC progression. EGFR-mutated, osimertinib-resistant human NSCLC cells had increased cilia formation and acetylation of -tubulin and reduced histone deacetylase 6 (HDAC6) activity compared to their osimertinib-sensitive counterparts. HDAC6 inhibition increases cilia formation in osimertinib-sensitive NSCLC cells, and overexpression of exogenous HDAC6 sensitized osimertinib-resistant NSCLC cells to osimertinibs anti-proliferative effects. Because intraflagellar transport (IFT) proteins are essential for primary cilium formation and function, we knocked down IFT88 in osimertinib-resistant NSCLC cells, which reversed osimertinib resistance in orthotopic and subcutaneous mouse models of lung cancer. Mechanistically, increased sodium influx during osimertinib-induced inhibition of EGFR signalling promotes cilia formation through sustained HDAC6 inactivity and greater -tubulin acetylation. Inhibition of sodium influx with dibutyryl-cAMP decreased cilium formation, increased sensitivity to osimertinib, and reduced tumor progression in mice bearing osimertinib-resistant lung tumors. Collectively, our findings suggest that enhanced primary cilium formation mediates EGFR TKI resistance and that targeted inhibition of ciliogenesis may prevent or overcome osimertinib resistance.

Consensus molecular subtyping (CMS) defines the transcriptomic taxonomy of colorectal cancer (CRC) and guides precision therapy. Although current approaches can predict CMS from histopathology, they rely on surgical specimens, limiting their preoperative applicability. In this study, we developed a deep learning model to infer CMS directly from preoperative computed tomography (CT) scans, enabling noninvasive molecular stratification of CRC. A multi-institutional cohort of 2,444 CRC patients was collected from the Sixth Affiliated Hospital of Sun Yat-sen University and Liaoning Cancer Hospital, comprising a discovery cohort (n = 416), an internal validation cohort (n = 1,671), and an external validation cohort (n = 357). To achieve robust feature extraction, a self-supervised 3D representation learning network was first pretrained on large-scale public CT datasets to capture generalizable imaging features. These representations were subsequently integrated into a multi-instance learning (MIL) classifier for CMS prediction, with attention mechanisms to enhance interpretability. Model performance was evaluated by cross-validation on the discovery cohort and verified on the two validation cohorts. CT4CMS demonstrated strong performance in predicting CMS subtypes directly from CT scans, achieving a cross-validation AUC of 0.867. In both validation cohorts, patients predicted as CMS4 exhibited significantly poorer disease-free survival yet derived substantial benefit from adjuvant chemotherapy, consistent with transcriptome-defined subtyping trends observed in the discovery cohort. Interpretability analysis revealed distinct subtype-specific radiomic features, suggesting that CT-derived imaging features capture underlying molecular characteristics and enable CMS classification. Overall, this study establishes a noninvasive and interpretable deep learning framework for CMS prediction in CRC, paving the way for imaging-based molecular stratification and personalized therapeutic decision-making.

The central nervous system (CNS) is a common site of metastatic spread for both non-small cell and small cell lung cancer, yet the therapeutic strategies to prevent and decrease lung cancer brain metastases remain limited. Tyrosine kinase inhibitors have shown promising results in increasing the overall response in brain metastases, owing to their brain penetrance and increased effectiveness; however, their use is limited to the small group of tumors carrying specific oncogenic drivers. Among these, inhibitors with activity against neurotrophic tyrosine receptor kinases (NTRKs) are showing promising effects in reducing CNS metastases in cancers driven by gene rearrangements of these drugs targets. However, wild-type NTRKs are susceptible to activation by their canonical ligands, which are expressed throughout the brain metastatic niche and can, in a paracrine manner, activate NTRK function in cancer cells. Here we show that NTRKs are expressed in primary tumors, brain metastases, and lung cancer cells with various driver mutations expressing wild-type NTRK2 (WT-TrkB). We demonstrate that WT-TrkB activates downstream signaling and proliferation in response to exogenous BDNF and conditioned media from reactive astrocytes known to secrete BDNF in the brain niche. Importantly, the FDA-approved NTRK inhibitor entrectinib blocked BDNF and astrocyte-induced survival pathways in multiple lung cancer cell lines, decreased their proliferation in vitro, and effectively prevented brain metastatic colonization and progression in vivo without significant effects on extracranial disease. Thus, these studies suggest that brain-dependent activation of NTRK is critical for brain metastases of WT-NTRK+ lung cancers, and therefore, NTRK inhibitors can be used to target non-fusion NTRK function to prevent or decrease brain metastases. SIGNIFICANCEThese studies demonstrate that NTRK wild-type receptors are important drivers of brain metastatic colonization and progression in different subtypes of lung cancer, independent of their driver alterations. Thus, they provide rationale to expand the use of FDA-approved NTRK inhibitors with brain penetrance for the prevention of CNS metastases.

HES3/Her3 is a transcription factor that functions in non-canonical STAT3 signaling to promote the renewal of neural stem cells and has roles in multiple cancer contexts. To study its role in development and disease, we previously generated a CRISPR/Cas9 zebrafish knockout of her3, the ortholog to human HES3. HES3 is also a cooperating gene in fusion-positive rhabdomyosarcoma, an aggressive pediatric cancer, where HES3 prevents terminal myogenic differentiation, and high expression correlates with worse patient outcomes. Here, we utilize our her3/HES3 knockout model with chromatin and transcriptional profiling techniques to assess its role during early zebrafish gastrulation with the goal of understanding the function of this transcription factor and how these activities are co-opted in cancer. We found that the Her3/HES3 preferential binding motif is distinct from other HES-family members, including a CG-rich E-box motif, that it leverages to modulate the expression of genes involved in neurogenesis and WNT signaling. We also determined that motif preferences of Her3/HES3 altered its interactions with DNA, allowing it to function canonically as a transcriptional repressor with additional duality as an activator. In the context of PAX3::FOXO1, a monogenic driver of fusion-positive rhabdomyosarcoma, we find that Her3/HES3 plays an influential role in modulating the initial activities of this core oncogenic transcription factor. Upon expressing PAX3::FOXO1 in early developing zebrafish embryos, her3 knockout allowed for enhanced activation of neural programs, which are observed in the human disease, along with alterations to cell adhesion programs. Patient tumor samples could be clustered and stratified based on HES3 expression alone. We saw that patient PAX3::FOXO1-positive tumors with high levels of HES3 contained a more neural identity than those with low levels of HES3, altogether suggesting HES3 plays a critical role in regulating this neural signature during both the initial functions of PAX3::FOXO1 and in established tumors.

PRMT5 is a type II arginine methyltransferase that forms an active complex with methylosome protein WDR77 (MEP50) to catalyze the symmetric dimethylation (SDMA) of arginine residues in proteins that regulate biological roles including apoptosis, DNA damage response and RNA processing. Some of the best characterized PRMT5 substrates are the small nuclear ribonucleoproteins SNRPB, SNRPD1 and SNRPD3, which are critical for spliceosome assembly and RNA splicing fidelity. MTAP-deleted cancers exhibit increased sensitivity to PRMT5 inhibition due to elevated levels of methylthioadenosine (MTA), a natural inhibitor of PRMT5. This vulnerability is exploited by MTA-cooperative PRMT5 inhibitors, exemplified by TNG908 and TNG462 which selectively target PRMT5 in MTAP-deleted cells while sparing MTAP-wildtype (WT) cells. Consistent with this mechanism, treatment with TNG908 in preclinical studies induces widespread splicing alterations in MTAP-deleted cancer models, with minimal effects in MTAP-WT cells. These splicing changes are consistent across diverse MTAP-deleted tumor types, including glioblastoma, pancreatic, and non-small cell lung cancer, indicating a histology-agnostic response to PRMT5 inhibition. Moreover, treatment of MTAP-WT cells with exogenous MTA mimics the splicing alterations observed with PRMT5 inhibition, as does pharmacologic inhibition of MTAP further supporting a mechanistic link between MTA accumulation, PRMT5 modulation, and aberrant splicing. Given that MTAP deletions occur in approximately 10-15% of human cancers, the identification of a robust RNA splicing signature offers a valuable pharmacodynamic biomarker for monitoring the activity of PRMT5 inhibitors. This splicing-based readout may also serve as a predictive biomarker of therapeutic response, offering greater specificity than global SDMA levels. Collectively these data suggest that a PRMT5-dependent RNA splicing signature can monitor the pharmacodynamic activity of MTA-cooperative PRMT5 inhibitors in MTAP-deleted cells.

Glioblastoma (GBM) is the most common and lethal primary malignant brain tumor in adults, with median survival remaining approximately 12-15 months despite aggressive multimodal therapy. Therapeutic resistance and tumor recurrence are driven in part by limited drug penetration across the blood-brain barrier (BBB) and the persistence of brain cancer stem cells (BCSCs), highlighting the need for brain-penetrant therapeutic platforms capable of achieving sustained intratumoral delivery. Here, we developed a dendrimer-based nanotherapeutic by conjugating metformin to a fourth-generation hydroxyl-terminated polyamidoamine dendrimer (P4-MET) to enhance intracranial bioavailability and therapeutic efficacy in GBM. P4-MET exhibited favorable pharmacokinetic properties, including prolonged retention within the tumor microenvironment, and demonstrated enhanced cytotoxicity against GBM cell lines relative to free metformin (f-MET). Mechanistical studies with transcriptomic profiling by RNA sequencing revealed distinct treatment-associated molecular signatures, identifying BOLA2B as the most significantly differentially expressed gene between treatment groups. Specifically, BOLA2B expression was markedly elevated in f-MET-treated cells but not so following P4-MET treatment. Given the established association of BOLA2B with mTORC1 signaling and GPX4-mediated ferroptosis resistance, these findings suggest that P4-MET may, at least in part, enhance therapeutic efficacy by modulating ferroptosis-associated pathways. In orthotopic GBM models, combination treatment with P4-MET and radiotherapy (RT) significantly prolonged overall survival and increased tumor cell death compared with either monotherapy alone, consistent with a synergistic radiosensitizing effect. Importantly, P4-MET demonstrated minimal systemic toxicity, supporting its favorable therapeutic index and translational potential. Collectively, these findings establish P4-MET as a brain-penetrant nanomedicine platform that improves metformin delivery, modulates ferroptosis-related signaling networks, and potentiates radiotherapeutic response in GBM. This study highlights the potential of dendrimer-enabled metabolic nanotherapies to overcome therapeutic resistance in malignant brain tumors.

Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy combined with chemotherapy, targeted therapy, or immunotherapy. However, due to its anatomical and molecular heterogeneity, identifying the most effective treatment for each patient remains a major clinical challenge. To address this need, we developed a high-throughput organoid-based drug screening platform that uses patient-derived organoids to assess candidate treatment regimens. We validated the platform by establishing bioprinted 3D organoids of human HNSCC cell lines and exposing them to X-ray radiation in combination with various small-molecule drugs and biologics. We quantified viability using ATP release assays and assessed extracellular matrix (ECM) invasion with a machine learning-based brightfield image analysis pipeline. Proof-of-concept experiments with HPV-negative HNSCC lines (HN30 and HN31, established from primary and metastatic disease from the same patient) and HPV-positive HNSCC cells (SCC154) revealed different therapy agents that can radiosensitize each cell line. Image analysis showed that copanlisib, afatinib, and ibrutinib could limit ECM invasion of HN31, while the AKT inhibitor ipatasertib promotes invasion of HN30 cells, consistent with previous studies. Application of the platform to patient-derived HPV+ oropharyngeal tumor organoids showed that they shared sensitivity to several agents while also exhibiting differences against certain therapies. Cetuximab, sorafenib, and nedisertib significantly radiosensitized organoids from two clinical samples. This work demonstrates the feasibility of performing sensitivity screening by integrating bioprinting, conventional viability assays, and advanced image analysis techniques. This platform has the potential to enable a personalized therapeutic pipeline for patients with advanced HNSCC, optimizing responses to radiotherapy and targeted agents to improve clinical outcomes while avoiding modulators that may promote tumor invasion.

The clinical translation of RNA interference (RNAi) therapeutics remains limited by inefficient delivery and cancer-target accumulation. Here, we report the development of a new cationic liposome (CLP) nanocarrier engineered for delivery and controlled-release of small interfering RNA (siRNA) targeting the epidermal growth factor receptor (EGFR) in human colorectal cancer. CLPs were synthesized from ethylphosphocholine-based lipids and PEGylated components, with folic acid (FA) tissue-specific ligand and fluorophore labelling. These nanocarriers exhibited robust physicochemical stability across a broad pH and temperature range, efficient siRNA complexation, and nuclease-protection of siRNA. Functional studies revealed that CLP-siEGFR achieved effective cytosolic siRNA cargo release and EGFR silencing in vitro, proving to be more effective than conventional lipid-based transfection systems. In human xenograft models, intravenously administered CLP-siEGFR showed enhanced tumor localization, prolonged siRNA retention, and significant tumor growth suppression, accompanied by marked downregulation of EGFR. Importantly, systemic dosing was well-tolerated, with no evidence of hepatotoxicity, nephrotoxicity, or hematological abnormalities. These results position CLP nanocarriers as an effective platform for targeted RNAi therapeutics, offering translational potential for precision oncology applications.

Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality, partly due to limited early detection strategies and incomplete understanding of tumor-suppressive mechanisms. In our previous work, we identified 26 tumor suppressor (TS) genes and characterized their biological functions and regulatory networks. We systematically evaluated these TS genes across multiple microarray datasets by analyzing differential expression patterns, correlations with oncogenes, tumor-associated genes, and PD-1-related immune genes, as well as somatic mutation frequencies. A weighted scoring algorithm was used to construct a TS gene signature. Patients were stratified using z-score normalization, and univariable and multivariable Cox proportional hazards models were applied across multiple adenocarcinoma (ADC) cohorts. Prognostic performance was assessed using Kaplan-Meier analysis and AUC metrics. The 26 TS genes were consistently down-regulated in tumors and showed strong negative correlations with oncogenes, particularly in advanced stages. TS genes also exhibited stage-dependent correlations with PD-1-associated immune genes, with chemotaxis/cytokine-signaling genes behaving TS-like, while PDCD1 and SIT1 showed oncogene-like patterns. Somatic mutations were detected in only 32% of LUAD samples for TS genes, compared with 68% for oncogenes. Across seven independent ADC cohorts, high TS-signature expression was associated with significantly reduced risk of death and recurrence/relapse. The TS signature outperformed several published prognostic signatures and demonstrated robust predictive accuracy, with AUC values exceeding 0.7 in multiple datasets and >0.8 for relapse prediction in GSE30219. Across seven independent cohorts, high TS signature expression was consistently associated with significantly reduced risk of death or recurrence/relapse in ADC patients. Patients with high TS signature expression exhibited markedly improved survival probabilities compared with those with low expression. When benchmarked against several established prognostic signatures using AUC metrics, our TS signature demonstrated superior robustness and predictive accuracy for ADC prognosis.