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PubMed2025

ProgModule: A novel computational framework to identify mutation driver modules for predicting cancer prognosis and immunotherapy response.

BACKGROUND: Cancer originates from dysregulated cell proliferation driven by driver gene mutations. Despite numerous algorithms developed to identify genomic mutational signatures, they often suffer from high computational complexity and limited clinical applicability. METHODS: Here, we presented ProgModule, an advanced computational framework designed to identify mutation driver modules for cancer prognosis and immunotherapy response prediction. In ProgModule, we introduced the Prognosis-Related Mutually Exclusive Mutation (PRMEM) score, which optimizes the balance between exclusive mutation coverage and the incorporation of mutation combination mechanisms critical for cancer prognosis. RESULTS: Applying to BLCA and HNSC cohorts, ProgModule successfully identified driver modules that stratify patients into distinct prognostic subgroups, and the combination of these modules could serve as an effective prognostic biomarker. Extending our method to diverse cancers, ProgModule presented robust prognostic performance and stability across model parameters, including stopping criteria and network topology. Moreover, our analysis suggested that driver modules can predict immunotherapeutic benefit more effectively than existing signatures. Further analyses based on published CRISPR data indicated that genes within these modules may serve as potential therapeutic targets. CONCLUSIONS: Altogether, ProgModule emerges as a powerful tool for identifying mutation driver modules as prognostic and immunotherapy response biomarkers, and genes within these modules may be used as potential therapeutic targets for cancer, offering new insights into precision oncology.

Humans↗

PubMed2026

Mov10 mitigates hematopoietic stem cell exhaustion under stress by modulating the Camp-mediated inflammatory pathway.

The integrity of hematopoietic stem cell (HSC) function is crucial for robust hematopoietic regeneration following stress. Inflammatory responses are pivotal drivers of HSC stress response, yet the precise modulation of inflammatory pathways remains incompletely defined. In this study, we identify the RNA helicase Mov10 as a negative regulator of stress-induced inflammatory pathways in HSC. Our study indicates that Mov10, which is critically required for HSC maintenance, is highly expressed in HSC, and its loss adversely affects HSC fitness and survival during hematopoietic stress induced by bone marrow transplantation and irradiation (IR). Mechanistically, Mov10 mitigates excessive inflammatory activation to sustain HSC functional integrity during hematopoietic stress, primarily by enhancing the translation of CAMP, which inhibits the interaction between TNF-α and its receptor TNFR1 and suppresses NF-κB activation. Overall, our results imply that Mov10 plays a critical role in averting functional failure of hematopoiesis under stress, presenting viable paths for the therapeutic intervention of relevant diseases.

Camp↗

PubMed2026

ABCB1 Polymorphisms Influence on Temozolomide Resistance and Overall Survival in Glioblastoma Patients: A Systematic Review of Clinical Evidence.

Glioblastoma (GB), defined as IDH-wildtype CNS WHO grade 4 tumour according to the 2021 WHO classification of CNS tumours, remains a uniformly lethal malignancy in which the efficacy of temozolomide (TMZ) continues to be constrained by both intrinsic tumur biology and the pharmacological barrier imposed by the blood-brain barrier (BBB). Given the central role of the ABCB1 (MDR1/P-glycoprotein) efflux transporter in regulating CNS drug disposition, germline variation in ABCB1 has been proposed as a potential determinant of interindividual variability in TMZ response. This systematic review synthesised clinical evidence from four independent studies, encompassing more than 400 GB patients, evaluating the association between ABCB1 polymorphisms and TMZ efficacy and patients' survival. Across the available literature, the influence of ABCB1 genetic variation emerged as limited and inconsistent. An early study reported a marked survival advantage for carriers of the ABCB1 C1236T C/C genotype treated with TMZ, suggesting reduced efflux and enhanced drug exposure. However, subsequent investigations, including epigenetic analyses, high-quality multivariate survival modelling and a pharmacokinetic study demonstrating genotype-dependent differences in plasma TMZ concentrations, did not replicate a corresponding survival effect. Across the remaining cohorts, common variants such as 1236C>T, 2677G>T/A, 3435C>T and 1199G>A showed no robust association with clinical outcome, indicating that transporter-mediated modulation is likely overshadowed by dominant prognostic drivers, including MGMT methylation, IDH status and tumour heterogeneity. Collectively, current evidence does not support ABCB1 polymorphisms as reliable predictive biomarkers of TMZ response in GB. Nonetheless, the pharmacokinetic signals observed, together with emerging technologies capable of selectively modulating efflux activity at the tumour-BBB interface, point to a continued role for ABCB1 in future therapeutic strategies. Integration of transporter genomics with spatial pharmacokinetics and molecular stratification will be essential to refine drug delivery and improve outcomes in GB.

Humans↗

PubMed2026

CRISPR screening reveals NPC1L1 as a key driver of glioblastoma progression via cholesterol metabolic regulation.

Glioblastoma (GBM), the most aggressive central nervous system (CNS) malignancy, currently lacks curative therapeutic options. While immunotherapy has revolutionized treatment for many cancers, GBM remains refractory to immune-based interventions due to the absence of effective immunotherapeutic targets. Here, through CRISPR screening, we identify Niemann-Pick C1-like 1 (NPC1L1) as a previously unrecognized key driver of GBM progression. Mechanistically, NPC1L1 modulates cholesterol metabolism to concurrently enhance tumor cell stemness and suppress CD8+ T-cell activation, thus inducing tumor progression. Notably, combined treatment with ezetimibe (NPC1L1 inhibitor) and anti-PD-1 antibody elicited potent antitumor activity in GBM orthotopic mouse models. Collectively, these findings establish NPC1L1 as a critical regulator of GBM pathogenesis, underscoring the translational potential of targeting NPC1L1-mediated cholesterol metabolism for developing novel GBM immunotherapies.

Humans↗

PubMed2026

Integrated transcriptomic and functional characterization of Claudin-1 reveals its oncogenic and immunomodulatory roles in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) remains among the deadliest malignancies, driven by its invasive nature and lack of effective biomarkers. Disruption of the epithelial barrier, mediated by tight junction components, is a critical yet underexplored contributor to PDAC progression. Claudins, integral regulators of tight junction integrity, display altered expression across cancers, but their prognostic and immunomodulatory roles in PDAC remain unclear. We performed an integrative analysis of 177 RNA-Seq datasets from TCGA and GTEx to characterize Claudin family alterations in PDAC. Differential expression, copy number variation, methylation, and co-expression networks were analyzed alongside clinical and survival data. Prognostic significance was assessed using Kaplan - Meier and Cox regression analyses, while immune cell infiltration was examined using deconvolution algorithms. Functional validation of Claudin-1 was conducted in Capan-1 cells using CRISPR/Cas9 knockout, followed by proliferation, wound-healing, and Western blot assays. Ten Claudin genes were significantly dysregulated, with Claudin-1 and Claudin-4 frequently amplified and associated with advanced stage and poor survival. High Claudin-1 expression correlated with reduced immune infiltration, indicating an immune-excluded phenotype characterized by immune cells retained in the tumor stroma but largely absent from the tumor parenchyma. Claudin-1 knockout markedly inhibited proliferation, migration, and EMT, evidenced by downregulation of Snail and Slug and restoration of E-cadherin expression. This integrative transcriptomic and functional study identifies Claudin-1 as a key driver of PDAC aggressiveness and immune modulation. These findings establish Claudin-1 as a promising prognostic biomarker and therapeutic target for restoring epithelial integrity and counteracting immune evasion in pancreatic cancer.

Humans↗

PubMed2026

Transcriptomic signatures of mind-body transformations therapy in breast cancer: Downregulation of the interferon signaling pathway.

BACKGROUND: Growing evidence has shown that Mind-Body Transformations-Therapies (MBT-T) are able to modulate chronic inflammation, a well-known driver of cancer progression and drug resistance. In our previous work, we showed that a specific MBT-T protocol was able to reduce the release of various pro-inflammatory cytokines and chemokines in the sera of patients with breast cancer that completed adjuvant chemotherapy. Despite these clinical observations, the underlying molecular pathways through which this therapy exerts its effects remain unclear. This study aims to address this gap by characterizing genome-wide transcriptional profiles in patients undergoing a novel MBT-T protocol. METHODS: In this proof-of-concept study, patients with breast cancer were randomized into two groups: Group 1 (CTL), receiving standard follow-up care, and Group 2 (MBT-T), receiving standard follow-up plus biweekly MBT-T for 4 months. Blood samples were collected at different timepoints during the treatment. After RNA extraction from whole blood, gene expression was analyzed on twenty-one patients (CTL, n = 7; MBT-T, n = 14) using the nCounter® Human Inflammation Panel (249 genes). RESULTS: Patients undergoing MBT-T showed a significant global downregulation of inflammatory gene expression compared to the control group. The analysis revealed that the Interferon (IFN) signaling pathway was the most significantly suppressed, by downregulation of key genes such as IFIT1, IFIT3, IFI44, MX1 and OASL in the MBT-T group. CONCLUSIONS: MBT-T acts as a biological modulator capable of downregulating key inflammatory pathways at the transcriptional level. These findings provide a genomic basis for the clinical benefits of mind-body interventions in oncology.

Breast cancer↗

PubMed2026

CDC20B Dysregulation: Links to Tumor Prognosis and Immunity.

OBJECTIVE: This study aimed to clarify the pan-cancer expression pattern, upstream regulatory mechanisms, prognostic relevance, and immune associations of CDC20B. METHOD: Using public databases (GTEx, GEO, and TCGA), we examined CDC20B expression and its associations with prognosis and tumor immunity across multiple cancers. Immunohistochemistry (IHC) on an independent clinical cohort was performed to validate CDC20B upregulation in tumor tissues. Promoter methylation, genetic alterations, and immune infiltration were analyzed using bioinformatics tools (cBioPortal, UALCAN, TIMER2.0, ESTIMATE). Functional enrichment was assessed by GSEA and single-cell state analysis (CancerSEA). RESULTS: CDC20B was markedly upregulated in most tumor types (p < 0.001), with strong diagnostic efficiency (AUC > 0.7 in 15 cancers) and potential regulation by promoter hypomethylation. IHC confirmed its overexpression in clinical tumor tissues. However, the prognostic impact of CDC20B was cancer-type-specific: high expression correlated with poor overall survival in UCS, LGG, KIRC, and OV, but with favorable survival in BRCA, LUAD, and PAAD. CDC20B expression was associated with immune infiltration patterns, showing negative correlations with ImmuneScore in most cancers but positive correlations with CD8+ T cells in PAAD. Functional analyses indicated involvement in EMT, KRAS/NF-κB signaling, and DNA damage response pathways. DISCUSSION: The dual prognostic role of CDC20B suggests context-dependent functions, likely influenced by tumor microenvironment composition and underlying oncogenic programs. Promoter hypomethylation emerges as a potential epigenetic driver of overexpression. The associations with immune modulation and genomic instability suggest that CDC20B is a candidate biomarker, though causal relationships require experimental validation. CONCLUSION: CDC20B may contribute to tumor progression in a context-dependent manner, with its prognostic impact varying across cancer types. Its role in tumor immunity and oncogenic pathways warrants further investigation, particularly in stratified patient populations.

CDC20B↗

PubMed2026

MET-Aberrant non-small cell lung cancer: from kinase dependence to cell-surface targetability-mechanistic basis and biomarker framework for bispecific antibodies and antibody-drug conjugates.

MET-aberrant non-small cell lung cancer (NSCLC) is not a uniform therapeutic entity. Its biology, diagnostic pathways, and treatment sensitivity differ across MET exon 14 skipping alteration (METex14), MET amplification, and MET overexpression. This heterogeneity cannot be fully explained by conventional event-based classification and is reflected in the distinct clinical activity of MET tyrosine kinase inhibitors (MET-TKIs), bispecific antibodies (BsAbs), and antibody-drug conjugates (ADCs). With the emergence of antibody-based therapies, MET has evolved from a signaling driver to a cell-surface target for receptor modulation and payload delivery. We therefore propose a clinically anchored two-dimensional framework for interpreting therapeutic relevance in MET-aberrant NSCLC: kinase dependence and cell-surface targetability. Neither dimension should be regarded as a directly measurable binary variable. Kinase dependence is inferred from genomic and treatment-contextual proxies, most strongly METex14 and, more conditionally, high-level focal MET amplification. Cell-surface targetability is approximated by drug-specific IHC assessment of assay-defined c-MET protein expression; however, receptor internalization, intracellular trafficking, and payload delivery capacity remain incompletely measurable in routine clinical practice. Within this framework, MET-TKIs have the most evidence-supported established role in tumors with evidence of MET-driven kinase dependence. EGFR × MET BsAbs have demonstrated clinical activity in broad post-osimertinib EGFR-mutant NSCLC, while EGFR/MET co-dependence or MET-mediated bypass activation provides a mechanistic rationale for their use; MET-defined preferential benefit remains to be prospectively established. MET-directed antibody-drug conjugates (MET-ADCs) are supported in drug- and assay-defined populations with high c-MET protein overexpression, although the predictive relevance of delivery-related factors remains hypothesis-generating. Accordingly, MET testing should shift from single-event detection to platform-oriented stratification: next-generation sequencing (NGS) for driver alterations and resistance profiles, fluorescence in situ hybridization (FISH) for high-level focal amplification, and immunohistochemistry (IHC) for surface expression relevant to antibody-based therapies. This framework is intended to organize current biological and clinical evidence rather than to replace drug-specific companion diagnostics, regulatory indications, or prospectively validated treatment-selection algorithms. Precision treatment of MET-aberrant NSCLC is thus moving from event-based drug selection toward mechanism-based therapeutic matching. Future priorities include standardizing biomarkers, defining optimal target populations, and aligning biological subtypes, diagnostic strategies, and therapeutic platforms.

Antibody-drug conjugate↗

PubMed2026

Interplay between DNA and RNA methylation shapes cancer cell plasticity.

Cellular plasticity refers to the ability of healthy cells to shift between phenotypic states and modify their characteristics to maintain tissue homeostasis and integrity. In the tumor context, cancer stem cells (CSCs) exploit this flexibility to withstand stress, facilitate tumor dissemination, and evade therapeutic interventions. Epigenetic regulation, particularly DNA methylation at CpG sites, is recognized as a well-known driver of tumor plasticity by repressing differentiation programs through modulation of chromatin accessibility. More recently, RNA modifications (epitranscriptomics) have emerged as crucial post-transcriptional regulators of gene expression that shape RNA fate and function. Among these, N6-methyladenosine (m6A), 5-methylcytosine (m5C), N1-methyladenosine (m1A), and N7-methylguanosine (m7G) contribute to the regulation of cell identity by modulating stemness-differentiation balance, stress adaptation, and epithelial-to-mesenchymal transition (EMT). Notably, dysregulation of both DNA and RNA methylation signatures is frequently observed in tumors, suggesting potential functional interactions between these regulatory layers. Emerging evidence indicates that DNA CpG methylation and RNA methylation pathways may cooperate to influence stemness, survival, and EMT-associated signaling, thereby supporting CSCs' plasticity. Although the molecular mechanisms underlying this crosstalk remain incompletely understood, accumulating studies suggest that DNA and RNA methylation could converge within interconnected regulatory networks that contribute to the control of cancer cell identity. A deeper understanding of these interactions may uncover novel vulnerabilities for targeting tumor plasticity. In this review, we summarize the current knowledge on the interplay between DNA and RNA methylation in regulating tumor plasticity, highlighting emerging mechanistic insights, functional interactions, and potential implications for future epigenetic and epitranscriptomic therapeutic strategies.

Humans↗

PubMed2026

Meiotic Origins of Non-Mosaic Klinefelter Syndrome (47, XXY): Mechanisms, Dimorphism, and Emerging Genetic Susceptibility.

BACKGROUND: Non-mosaic Klinefelter syndrome (47,XXY) arises from sex-specific meiotic mechanisms leading to nondisjunction during gametogenesis. In maternal cases, errors occur predominantly during meiosis I, frequently involving X chromosomes that lack crossovers or exhibit crossovers outside optimal chromosomal locations; this nondisjunction is further exacerbated by advancing maternal age and the subsequent deterioration of cohesins. Conversely, paternal 47,XXY stems primarily from the failure of obligate recombination within the pseudoautosomal region, which is critical for accurate XY segregation. OBJECTIVE: Drawing on the latest literature, this review transitions from a descriptive account of non-mosaic Klinefelter syndrome (nKS) toward a comprehensive analysis of mechanistic and genomic evidence, establishing a unified framework of sex-specific meiotic vulnerability. METHODS: We synthesized recent findings from forward genetic approaches in mouse models with data from human observational and reverse-genetic studies, delineating an updated view of the established and putative mechanisms that modulate sex chromosome segregation. RESULTS: We frame XX and XY nondisjunction as a genetically modulated process rather than a purely stochastic event. The integrated evidence supports a unified framework in which maternal and paternal mechanisms converge primarily on meiotic recombination failure but differ in timing, chromosomal context, and genetic modulation. CONCLUSIONS: From a clinical standpoint, identifying the molecular drivers of sex chromosome aneuploidy will enhance genetic counseling and risk stratification. Such insights are poised to facilitate informed reproductive decision-making and timely therapeutic support, ultimately reducing the burden of nKS comorbidities and improving patients' quality of life.

aneuploidy↗

PubMed2026

Scalable, open-access and multidisciplinary data integration pipeline for climate-sensitive diseases.

Climate-sensitive infectious diseases pose an important challenge for human, animal and environmental health and it has been estimated that over half of known human pathogenic diseases can be aggravated by climate change. While climatic and weather conditions are important drivers of transmission of vector-borne diseases, socio-economic, behavioural, and land-use factors as well as the interactions among them impact transmission dynamics. Analysis of drivers of climate-sensitive diseases require rapid integration of interdisciplinary data to be jointly analysed with epidemiological (including genomic and clinical) data. Current tools for the integration of multiple data sources are often limited to one data type or rely on proprietary data and software. To address this gap, we develop a scalable and open-access pipeline for the integration of multiple spatio-temporal datasets that requires only the declaration of the country and temporal range and resolution of the study. The tool is locally deployable and can easily be integrated into existing climate-disease-modelling applications. We demonstrate the utility of the tool for dengue modelling in Vietnam where epidemiological data are legally required to remain local. We include a pipeline for bias correction of climate data to enhance their quality for downstream modelling tasks. The Dengue Advanced Readiness Tools-Pipeline empowers users by simplifying complex download, correction, and aggregation steps, fostering data-driven discovery of relationships between infectious diseases and their drivers in space and time, and enhancing reproducibility in research. Additional modules and datasets can be added to the existing ones to make the pipeline extendable to use cases other than the ones presented here.

automated workflows↗

PubMed2026

Genetic diversity and molecular mechanisms in hypertrophic cardiomyopathy: toward personalized therapy.

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac muscle disorder, yet contemporary genomic and mechanistic research still lacks a cohesive model explaining how diverse genetic architectures give rise to heterogeneous phenotypes. This review synthesizes advances across sarcomeric and nonsarcomeric mutations, including intermediate-effect variants, polygenic modifiers, and ancestry-dependent sources of variant misclassification to elucidate how these factors govern disease penetrance and clinical expression. It critically evaluates how genetic diversity intersects with key molecular pathways, including sarcomeric hypercontractility, calcium dysregulation, mitochondrial energy deficiency, and transforming growth factor-β (TGF-β) and protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling, to drive hypertrophic and fibrotic remodeling. Emerging mechanism-based therapies, such as myosin inhibition, allele-specific silencing, clustered regularly interspaced short palindromic repeats (CRISPR)-based correction, and metabolic modulation, are examined with respect to their capacity to modify upstream molecular drivers rather than downstream hemodynamic consequences. Persistent challenges, including variants of uncertain significance classification, ancestry-biased databases, inequitable access to genetic testing, and unresolved safety concerns for gene-based therapies, are critically assessed as major barriers to precision-medicine integration. By linking genetic architecture, molecular pathogenesis, and targeted interventions, this review advances a contemporary, mechanistically grounded framework that informs both individualized management and future research directions. Future research should prioritize pathway-specific therapeutics, functional and mechanistic validation of emerging variants, deeper physiologic phenotyping to refine disease modeling, and accelerate translation throughout the continuum of HCM pathophysiology.

Humans↗

PubMed2025

Investigating the genomic landscape of mouse models of breast cancer metastasis.

Metastasis remains a major cause of cancer mortality. AbstractThis study, expanding upon previous findings in the MMTV-PyMT model, investigated four independent mouse models, representing luminal (MMTV-PyMT, MMTV-Myc), HER2-amplified (MMTV-Her2) and triple negative (C3(1)TAg) breast cancer subtypes. Consistent with previous results, limited evidence for metastasis-associated somatic point mutations was found for all models. We also found that oncogenic drivers significantly influenced the number and size of metastasis-specific copy number variations (MSCNVs), but common driver-independent MSCNVs were rare. Furthermore, analyzing a cohort with varying genetic backgrounds while maintaining a constant oncogenic driver (PyMT) revealed that genetic background profoundly impacts MSCNVs. Transcriptome analysis demonstrated that oncogenic drivers strongly shaped metastasis-specific gene expression (MSGE), with each driver exhibiting distinct expression profiles. In contrast, MSGE in the PyMT-F1 cohort was more variable across strains. Despite the diversity of MSCNV and MSGE, functional analysis revealed that both mechanisms converge on the modulation of key cellular processes, including immune responses, metabolism, and extracellular matrix interactions. These findings emphasize the complex interplay between oncogenic drivers and genetic background in shaping the genomic and transcriptional landscapes of metastatic lesions.

Journal Article↗

PubMed2025

Cardiac hypertrophy at the crossroads: Mechanistic insights and emerging multimodal therapeutic strategies.

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, accounting for approximately 17.9 million deaths annually. Among their diverse manifestations, cardiac hypertrophy is a clinically significant condition that predisposes patients to heart failure, arrhythmias, and and sudden cardiac death. Clinically, hypertrophy can be classified into three forms: physiological (adaptive) hypertrophy, which supports cardiac performance and is reversible, pathological hypertrophy most often secondary to hypertension, valvular disease, hemodynamic stress, or sustained neurohumoral activation; and hypertrophic cardiomyopathy (HCM) represents a primary genetic disorder, most often caused by mutations in sarcomeric proteins. These distinct etiologies have important therapeutic implications, as they determine how efficiently pharmacological agents can target underlying mechanisms. Conventional pharmacological treatments are widely used in clinical practice, yet they provide limited reversal of established remodeling. This therapeutic gap has driven the development of innovative modalities such as RNA-based therapeutics, exosome-mediated interventions, stem cell-derived therapies, and genome-editing technologies, which aim to modulate maladaptive signaling and restore myocardial integrity. This review integrates clinical perspectives with mechanistic insights, delineating the drivers of pathological hypertrophy while evaluating both established therapies and emerging strategies that hold promise for precision cardiology and improved patient outcomes.

Humans↗

PubMed2025

Comparative Phylogenetics Reveal Clade-specific Drivers of Recombination Rate Evolution Across Vertebrates.

Meiotic recombination is an integral cellular process, required for the production of viable gametes. Recombination rate is a fundamental genomic parameter, modulating genomic responses to selection. Our increasingly detailed understanding of its molecular underpinnings raises the prospect that we can gain insight into trait divergence by examining the molecular evolution of recombination genes from a pathway perspective, as in mammals, where protein-coding changes in later stages of the recombination pathway are connected to divergence in intra-clade recombination rate. Here, we leverage increased availability of avian and teleost genomes to reconstruct the evolution of the recombination pathway across two additional vertebrate clades: birds, which have higher and more variable rates of recombination and similar divergence times to mammals, and teleost fish, which have much deeper divergence times. Rates of molecular evolution of recombination genes are highly correlated between vertebrate clades and significantly elevated compared to control panels, suggesting that they experience similar selective pressures. Avian recombination genes are significantly more likely to exhibit signatures of positive selection than other clades, unrestricted to later stages of the pathway. Signatures of positive selection in genes linked to recombination rate variation in mammalian populations and those with signatures of positive selection across the avian phylogeny are highly correlated. In contrast, teleost fish recombination genes have significantly less evidence of positive selection despite high intra-clade recombination rate variability. Gaining clade-specific understanding of patterns of variation in recombination genes can elucidate drivers of recombination rate and thus, factors influencing genetic diversity, selection efficacy, and species divergence.

Animals↗

PubMed2026

Newly identified invasion drivers define the tumor front in oral squamous cell carcinoma.

Cells at the invasive front of oral squamous cell carcinoma (OSCC) occupy a partial epithelial-to-mesenchymal transition (p-EMT) state that drives invasion and therapeutic resistance yet remains poorly understood. To define the regulators of this metastable state, we developed an isogenic OSCC model that captures stable epithelial and p-EMT phenotypes and used it to perform a genome-wide CRISPR invasion screen. This unbiased strategy identified 17 modulators of invasion, most previously unrecognized in cancer and virtually unexplored in OSCC, that converge on cytoskeletal remodeling, adhesion, and epigenetic regulation. Within this network, EDIL3 emerged as a central driver of EMT, invasion, and chemoresistance in head and neck cancer, extending prior reports in other tumor types. Importantly, the invasion signature derived from our screen localized with striking specificity to the tumor invasive front of human OSCC, providing direct clinical validation. Together, these findings reveal a novel, targetable network of transient invasion drivers defining the OSCC tumor front.

Journal Article↗

PubMed2025

Targeting phagocytosis for amyloid-β clearance: implications of morphology remodeling and microglia activation probed by bifunctional chimaeras.

Amyloid-β (Aβ), a key driver of Alzheimer's disease (AD) pathogenesis, possesses diverse harmful and clearance-resistant structures that present substantial challenges to therapeutic development. Here, we demonstrate that modulating Aβ morphology, rather than Toll-like receptor 2 (TLR2)-dependent microglia activation, is essential for effective phagocytosis of Aβ species by microglia. By developing a bifunctional mechanistic probe (P2CSKn) designed to remodel Aβ and activate TLR2, we show it restructures soluble Aβ (sAβ) and fibrillar Aβ (fAβ) into less toxic hybrid aggregates (hPAβ). Critically, this structural remodeling protects microglia from Aβ toxicity while enabling robust phagocytosis. Moreover, although TLR2 activation mildly enhances Aβ uptake, it concurrently triggers detrimental inflammation that negates its benefits. Our findings establish morphological remodeling as the critical determinant of effective Aβ clearance and suggest a morphology-focused strategy for developing safe therapeutics for Aβ-related diseases.

Microglia↗

PubMed2025

Unraveling the Role of Mutations Outside the Basal Promoter and Precore Regions in the HBeAg-Negative Stage of Chronic Hepatitis B.

Hepatitis B e antigen (HBeAg) seroconversion is a crucial event in the natural history of chronic hepatitis B virus (HBV) infection, marked by a significant decrease in viral load and the emergence of mutations that suppress HBeAg expression. However, these mutations alone do not fully account for the reduction in viral load. This study investigated the biological features and pathogenic roles of mutations outside the basal core promoter (BCP) and precore regions during the HBeAg-negative stage of chronic infection. Full-length HBV genomes from HBeAg-positive (n = 180) and HBeAg-negative (n = 328) genotype D datasets were analyzed, revealing significantly higher genomic heterogeneity in HBeAg-negative sequences compared with HBeAg-positive genomes (50.4 ± 16.0 vs. 26.6 ± 10.5 nucleotide changes per genome). Twenty-six hotspot amino acid mutations associated with the HBeAg-negative stage were identified, with over half located in the Core region. Subsequently, full-length HBV genomes from six HBeAg-negative patient-derived serum samples were obtained by PCR amplification followed by Sanger sequencing. Infectious clones generated from these genomes, each carrying between 21 and 66 amino acid substitutions, were characterized, showing that mutations in this stage differentially affected viral fitness in vitro by up- or downregulating HBV-DNA levels (ranging from 0.2 to 5 times those of the wild-type isolate), modulating capsid assembly, and altering the expression, secretion, and subcellular localization of viral proteins. In conclusion, while mutations in the BCP and precore regions are the primary drivers of HBeAg seroconversion, mutations outside these regions significantly influence HBV biology and potentially contribute to viral pathogenicity, underscoring the complex interplay between host and virus during the HBeAg-negative stage of chronic infection.

Humans↗