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PubMed2026

Secreted protein circuits in the gastrointestinal tumour microenvironment: determinants of immunotherapy response and resistance.

Immune checkpoint blockade has transformed treatment in selected gastrointestinal (GI) cancers, yet primary resistance, incomplete responses and acquired resistance remain common. This heterogeneity is not explained by tumour-cell genomics alone; extracellular signalling programmes within the tumour microenvironment can determine immune recruitment, access and adaptation to therapy. The tumour secretome-including cytokines, chemokines, growth factors, complement components, matricellular proteins, soluble checkpoint molecules and extracellular-vesicle-associated cargo-regulates immune-cell recruitment, exclusion, suppression, tertiary lymphoid structure formation and exhaustion across anatomical and molecular contexts. Across gastric and esophageal cancers, colorectal cancer, pancreatic ductal adenocarcinoma, hepatocellular carcinoma and biliary tract cancers, recurrent suppressive circuits include TGF-β, VEGF, CXCL12-CXCR4, CXCL8/IL-8-CXCR1/2, CCL2-CCR2, CSF1-CSF1R, IL-6-family cytokines, SPP1/osteopontin, periostin, galectins, DKK1, MIF, complement and soluble or vesicular PD-L1. Conversely, CXCL9/10/11-CXCR3 signalling and CXCL13-associated tertiary lymphoid structures characterise immune-permissive states that can support checkpoint responsiveness. We organise these circuits into four overlapping functional modules-myeloid-enriched, fibroblast-driven exclusion, angiogenic-immunosuppressive and immune-permissive-and apply a four-level evidence hierarchy that separates clinical validation from mechanistic inference. Clinically useful secretome biomarkers will therefore need to integrate cellular source, spatial localisation, receptor context, temporal dynamics and linkage to actionable immune-state transitions.

Humans↗
PubMed2026

Engineered Bacteriophages in Cancer Immunotherapy: Emerging Concepts and Potential Integration with CAR-T Cell Therapy.

Due to antigen heterogeneity, restricted immune cell trafficking and an immunosuppressive, nutrient-restricted tumour microenvironment, solid tumours remain resistant to modern immunotherapies. Engineered bacteriophages offer a modular framework to overcome these obstacles: programmable virus-like particles with scalable production. Through genome engineering, capsid decoration with mammalian cell-targeting ligands, or hybrid AAV/phage systems, engineered bacteriophages can display tumour-associated antigens, enhance receptor-mediated uptake and deliver therapeutic payloads such as cytokines, chemokines and suicide genes without naturally infecting mammalian cells. These features support their use as vaccine platforms, immunological adjuvants and targeted gene-delivery vehicles. These may enable more precise, tumour-localized therapeutic intervention. Phages can engage innate immune pathways, including TLR9, TLR3/7/8, cGAS-STING and AIM2, promoting dendritic cell maturation and inflammatory mediators that may convert immunologically "cold" tumours into inflamed microenvironments. Their multivalent antigen display enhances B- and T-cell priming, while cDC1-mediated cross-presentation supports cytotoxic CD8+ T-cell responses and immunological memory. In CAR-T therapy, engineered phages may improve tumour homing through chemokine modulation, support persistence through local cytokine delivery, reduce antigen escape by presenting multiple tumour epitopes, and limit T-cell exhaustion through dominant-negative receptor strategies or local checkpoint blockade. This review summarizes engineering approaches, delivery systems, manufacturing, biodistribution, dosing, and safety issues, including immunogenicity, pre-existing anti-phage antibodies and horizontal gene transfer. It also distinguishes therapeutic engineered phage particles from phage display technologies used for molecular discovery. Despite encouraging results integrating modified bacteriophages with CAR-T cell therapy, the evidence remains mostly preclinical, indicating both substantial translational prospects and crucial obstacles for future clinical development.

CAR-T cell therapy↗
PubMed2025

Targeting MondoA-TXNIP restores antitumour immunity in lactic-acid-induced immunosuppressive microenvironment.

In the tumour microenvironment, accumulated lactic acid (LA) promotes tumour immune evasion by facilitating regulatory T cell (Treg) immunosuppressive function and restraining CD8+ T cell cytotoxicity, but the underlying mechanism remains elusive. Here we report that transcriptional factor MondoA-induced thioredoxin interacting protein (TXNIP) transcription is a common feature of both Treg and CD8+ T cells in response to lactic acid. In contrast to reduction in immunosuppressive capacity in MondoA-deficient Treg cells, loss of MondoA enhanced CD8+ T cell cytotoxic function in the lactic-acid-induced immunosuppressive microenvironment, by restoring glucose uptake and glycolysis. Mechanistically, lactic acid relied on sentrin/SUMO-specific protease 1 (SENP1) to stimulate the MondoA-TXNIP axis, which impaired TCR/CD28-signal-induced CD8+ T cell activation. Importantly, targeting the MondoA-TXNIP axis potentiated antitumour immunity in multiple cancer types and synergized with anti-PD-1 therapy to promote effective T cell responses in colorectal cancer. Our results demonstrate that the MondoA-TXNIP axis is a promising therapeutic target for improving cancer immunotherapy.

Tumor Microenvironment↗
PubMed2026

A serpin-myeloid axis in pancreatic cancer heterogeneity and immune evasion.

Pancreatic ductal carcinoma (PDAC) is characterized by a highly immunosuppressive, extracellular matrix-rich microenvironment, yet tumours display marked heterogeneity1-4. This raises the question of whether immune resistance is a global tumour property or is organized within spatially restricted niches. Here, using Perturb-map spatial functional genomics, we determine how different genes shape the growth and cellular environments of PDAC clones across space and time. This analysis revealed early gene-driven remodelling of local immune neighbourhoods preceding late-stage spatial clonal dominance. We identify SERPINE1 (encoding plasminogen activator inhibitor 1 (PAI1)) and SERPINB2 (encoding PAI2) as dominant regulators of tumour microenvironment control and immune evasion. These serpins promote stabilization of fibrin-rich extracellular matrix niches that spatially retain and programme macrophages towards immunosuppressive states while excluding cytotoxic T cells. Loss of Serpine1 or Serpinb2, or pharmacological inhibition of PAI1 or CD18, improves tumour control in mice and synergizes with anti-PD-1. Multimodal spatial analysis of patient tumours revealed that immunosuppressive niches form around rare SERPINB2- and SERPINE1-expressing PDAC subpopulations, dominated by SPP1+/MARCO+ macrophages. These findings identify cancer-derived SERPINE1 and SERPINB2 as local spatial organizers of immune suppression, linking tumour-intrinsic heterogeneity to local microenvironmental control and immunotherapy resistance in PDAC.

Journal Article↗
PubMed2026

Patient-derived models of prostate cancer: Capturing tumour complexity from initiation to metastasis.

Prostate cancer is a growing global health challenge. To identify new ways to improve patient care, researchers need a variety of preclinical models that faithfully recapitulate human tumours across the disease continuum, from initiation to metastasis. These complementary models include primary cultures of prostate epithelial cells (PrECs), co-cultures, patient-derived explants (PDEs), patient-derived organoids (PDOs) and patient-derived xenografts (PDXs). Collectively, these models enable researchers to study tumour biology and therapeutic responses in clinically relevant contexts. Yet, there is still a need to improve the fidelity of preclinical models to human tumours by integrating diverse cell types from the tumour microenvironment and mimicking biomechanical features. By improving culture methods with matrix components that resemble the tumour microenvironment and new formulations of media that imitate human plasma, in vitro models will more accurately reflect human physiology, nutrient availability, and metabolism. In time this may reduce the reliance on animal testing through organ-on-chip and related techniques. These more complex models are suited to more detailed experimental readouts, including single-cell and spatial analyses. Intravital imaging also enables dynamic visualisation of cell-cell interactions and treatment responses in vivo. Collectively, these approaches are facilitating a shift towards sophisticated models that capture patients' tumour heterogeneity, different cellular niches, and provide opportunities to carefully study tumorigenesis, metastasis, lineage plasticity, and therapy resistance. In this review, we discuss the current progress and future directions for patient-derived models of prostate cancer, highlighting how they can be generated, refined, characterised and shared to accelerate the worldwide effort in translational research.

Humans↗
PubMed2025

A novel glycogene-related signature for prognostic prediction and immune microenvironment assessment in kidney renal clear cell carcinoma.

BACKGROUND: Kidney Renal Clear Cell Carcinoma (KIRC) is a prevalent urinary malignancies worldwide. Glycosylation is a key post-translational modification that is essential in cancer progression. However, its relationship with prognosis, tumour microenvironment (TME), and treatment response in KIRC remains unclear. METHOD: Expression profiles and clinical data were retrieved from The Cancer Genome Atlas and Gene Expression Omnibus databases. Consensus clustering, Cox regression, and LASSO regression analyses were conducted to develop an optimal glycogene-related signature. The prognostic relevance of this molecular signature was rigorously analyzed, along with its connections to tumour microenvironment (TME), tumour mutation burden, immune checkpoint activity, cancer-immunity cycle regulation, immunomodulatory gene expression patterns, and therapeutic response profiles. Validation was performed using real-world clinical specimens, quantitative PCR (qPCR), and immunohistochemistry (IHC), supported by cohort analyses from the Human Protein Atlas (HPA) database. RESULTS: A glycogene-associated prognostic scoring system was established to categorize patients into risk-stratified subgroups. Patients in the high-risk cohort exhibited significantly poorer survival outcomes (p&#x2009;<&#x2009;0.001). By incorporating clinicopathological variables into this framework, we established a predictive nomogram demonstrating strong calibration and a concordance index (C-index) of 0.78. The high-risk subgroup displayed elevated immune infiltration scores (p&#x2009;<&#x2009;0.001), upregulated expression of immune checkpoint-related genes (p&#x2009;<&#x2009;0.05), and an increased frequency of somatic mutations (p&#x2009;=&#x2009;0.043). The risk score positively correlated with cancer-immunity cycle activation and immunotherapy-related signals. The high-risk groups also showed associations with T cell exhaustion, immune-activating genes, chemokines, and receptors. Drug sensitivity analysis revealed that low-risk patients were more sensitive to sorafenib, pazopanib, and erlotinib, whereas high-risk individuals responded better to temsirolimus (p&#x2009;<&#x2009;0.01). qPCR and IHC analyses consistently revealed distinct expression patterns of MX2 and other key genes across the risk groups, further corroborated by the HPA findings. CONCLUSION: This glycogene-based signature provides a robust tool for predicting prognosis, TME characteristics, and therapeutic responses in KIRC, offering potential clinical utility in patient management.

Humans↗
PubMed2026

SDC1+ CAFs secreting CTGF drive tumour metastasis via FGFR3 signalling in cancers.

BACKGROUND: Cancer-associated fibroblasts (CAFs) are key stromal components of the tumour microenvironment (TME) that profoundly influence tumour progression. However, CAFs exhibit pronounced phenotypic and functional heterogeneity, and whether conserved CAF subtypes with shared functional hallmarks exist across different cancer types remains unclear. OBJECTIVE: We sought to uncover universal CAF subtypes that transcend tumour origins, defining their core molecular signatures and pro-tumorigenic functions within the TME. DESIGN: We constructed a pan-cancer CAF atlas through single-cell transcriptomic analysis of 554 specimens across 14 cancer types. To validate the findings, we performed further functional analyses, including in vitro migration and invasion assays, in vivo lymphatic metastasis models and mechanistic studies focusing on candidate signalling pathways. RESULTS: We identified a conserved syndecan 1 (SDC1) + CAF subset associated with advanced tumour stage and poor outcomes. These CAFs enhanced tumour cell migration and invasion in vitro and promoted lymphatic metastasis in vivo. This effect is mediated through connective tissue growth factor (CTGF) secretion, which activates fibroblast growth factor receptor 3 (FGFR3) signalling in tumour cells to induce epithelial-mesenchymal transition (EMT). Blocking CTGF or FGFR3 signalling abrogated these effects. We also found that kruppel like factor 6 (KLF6) directly regulates CTGF in SDC1+ CAFs, establishing a complete KLF6-CTGF-FGFR3 metastatic axis. CONCLUSIONS: Our study establishes SDC1+ CAFs as a universal, metastasis-promoting CAF subset across multiple cancer types and uncovers a novel KLF6-CTGF-FGFR3 axis that drives EMT and tumour dissemination. These findings provide mechanistic insight into CAF-tumour cell crosstalk and highlight actionable stromal targets for anti-metastatic therapies across diverse malignancies.

Humans↗
PubMed2026

SLA2 is Associated With Immune evasion and Exhaustion of CD8+ T Cells in Gastric Cancer.

The Src-like adaptor 2 (SLA2) functions as a negative regulator of T cell receptor signalling. However, its involvement in the tumour microenvironment (TME) of gastric cancer (GC) remains unexplored. In this study, we found that SLA2 expression was significantly elevated in GC tissues, and a high level of SLA2 was associated with poor prognosis in GC patients. Bioinformatics analyses revealed a close association between SLA2 and TME in GC. Single-cell RNA sequencing analysis indicated that SLA2 was significantly enriched in CD8+ T cells in GC tissues. Functional validation demonstrated that SLA2 overexpression contributed to the exhaustion of CD8+ T cells by suppressing their proliferation, upregulating the expression of exhaustion markers, reducing the secretion of effector cytokines (IFN-&#x3b3; and TNF-&#x3b1;) and impairing cytotoxic function. SLA2 knockdown in in&#xa0;vitro-generated exhausted CD8 T cells significantly alleviated T cell exhaustion. Mechanistically, we found that inverse promoter methylation and active histone marks (H3K27ac, H3K4me3 and H3K4me1) may regulate SLA2 expression. Our findings suggest that SLA2 may modulate the TME and promote immune evasion via CD8+ T cell exhaustion in GC.

Humans↗
PubMed2026

Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.

Single-cell and spatial omics (SPOs) technologies have advanced how healthcare physicians characterise brain tumours by enabling detailed understanding of their cellular architecture, functional states, and microenvironmental dynamics. These approaches provide high-resolution detection of tumour heterogeneity and allow precise analysis of the brain tumour microenvironment. Their application has also led to the discovery of novel biomarkers used for early brain tumour detection, prognosis, and improved tumour stratification. Furthermore, integrative multi-omic analyses have revealed new therapeutic targets, clarified mechanisms of drug resistance, and uncovered molecular pathways underpinning treatment failure. By bridging cellular-level insights with spatial context, SPOs hold significant promise for advancing personalised diagnostics, predicting therapeutic response, and guiding the development of targeted interventions for brain tumours. Despite these advances, several limitations constrain the full translational potential of SPOs, including high experimental costs, substantial computational demands, lack of standardised protocols, and challenges in data integration and reproducibility. Addressing these barriers through scalable bioinformatic pipelines, consensus experimental frameworks, and cost-effective platforms remains critical for broadening accessibility and enabling clinical adoption.

Brain Neoplasms↗
PubMed2026

Oxeiptosis - potential in cancer treatment?

Oxeiptosis is a reactive oxygen species (ROS)-dependent form of programmed cell death that plays a key role in cellular homeostasis and holds promise as a cancer therapy. This review explores its molecular mechanisms, emphasizing the KEAP1-PGAM5-AIFM1 signalling pathway and its reliance on ROS accumulation. Compared to other cell death pathways, oxeiptosis offers a distinct approach, especially for targeting cancer cells resistant to conventional therapies. The review evaluates emerging inducers, both synthetic and natural, that selectively trigger oxeiptosis in cancer cells. It also examines the potential synergy between oxeiptosis and ROS-generating chemotherapies, particularly in the oxidative tumour microenvironment. However, challenges remain, including identifying tumour-specific inducers, overcoming cancer cell resistance to oxidative stress and reducing off-target effects. The review concludes by highlighting the need for targeted delivery strategies and rigorous preclinical studies to translate oxeiptosis into effective cancer treatments. Overall, it underscores oxeiptosis as a promising avenue to address drug resistance and improve therapeutic outcomes in oncology.

Humans↗
PubMed2026

Immunopeptidomics in gliomas: Decoding antigen presentation for precision immunotherapy.

Gliomas and particularly glioblastomas, represent the most aggressive and treatment-resistant brain tumours. Current standard treatments, including surgical resection, radiotherapy and chemotherapy, offer only limited long-term survival benefits. The highly immunosuppressive tumour microenvironment that characterizes gliomas enables immune evasion and limits the effectiveness of anti-tumour immune response, indicating the urgent need for identification of tumour antigens with clinical relevance to improve current immunotherapeutic strategies and enhance glioma immunogenicity. Immunopeptidomics, a mass spectrometry-based identification of peptides presented by HLA molecules, is a growing field of research for understanding the immunosurveillance of gliomas. By enabling the direct identification of naturally presented HLA-bound peptides from tumour tissue for T cell recognition, immunopeptidomics provide valuable insights into tumour antigen presentation and immune targeting. This review highlights the emerging role of immunopeptidomics in gliomas, covering the mechanisms of antigen processing and presentation by HLA class I and II molecules, the identification of glioma-associated antigens, the development of personalised peptide vaccines and the discovery of new targets for T cell-based immunotherapies. The potential of plasma-derived soluble HLA (sHLA) peptidomes as minimally invasive liquid-biopsy biomarkers is further discussed for disease monitoring and response to treatment. Overall, immunopeptidomics are foreseen as a powerful tool for the discovery of new tumour antigens leading to the development of more effective personalised glioma immunotherapies.

Humans↗
PubMed2026

Exploratory single-nucleus multiomics analysis of myeloid cell states associated with neoadjuvant chemotherapy response in pancreatic ductal adenocarcinoma.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) continues to be one of the most lethal human malignancies, with the vast majority of patients ineligible for immunotherapy. Tumour-associated macrophages (TAMs) are key regulators of the PDAC tumour microenvironment (TME), yet their transcriptional and epigenomic heterogeneity in the context of chemotherapy response is poorly understood. Therefore, we performed an exploratory single nucleus multiomics analysis of PDAC tumors stratified by histopathologic response to neoadjuvant chemotherapy. METHODS: Surgical resection specimens from PDAC patients were classified as responders or non-responders using the American College of Pathologists (CAP) histopathologic criteria. Frozen tissue underwent simultaneous snRNA-seq and snATAC-seq on the 10x Genomics Chromium Single Cell Multiome platform, followed by downstream analyses such as differential gene expression, GO and hallmark pathway enrichment, pseudotime trajectory inference and ChromVAR transcription factor motif analysis. RESULTS: Multiomics profiling of 30&#xa0;840 high-quality nuclei revealed a myeloid compartment that differed in composition and transcriptional state between CAP-defined responders and non-responders in this small cohort. We observed a trend toward higher LAM-like state proportions in the responders than non-responders (38.4%&#xa0;vs. 26.7%), although this disparity did not achieve statistical significance. The transcriptional programs of the responder myeloid cells are associated with phagocytosis and lipid handling. Chromatin accessibility analysis further suggested candidate response-associated transcription factor motif accessibility patterns. CONCLUSIONS: Neoadjuvant-treated PDAC tumours from CAP-defined responders in this cohort myeloid landscape with apparent enrichment of LAM-like states and immune-activating transcriptional/epigenetic programs. However, these findings are preliminary and hypothesis-generating because of the small cohort size, heterogeneous treatment regimens, absence of matched pre-treatment biopsies, and lack of knockout validation. Larger treatment cohorts and functional/mechanistic studies are needed to determine whether LAM-like myeloid programs contribute to chemotherapy response or reflect a consequence of chemotherapy treatment.

Humans↗
PubMed2026

Evolution and heterogeneity of lethal metastatic bladder cancer subtypes.

Histological variation is a prognostic feature of metastatic urothelial cancer1-3, but its evolutionary trajectory remains poorly defined. We developed a metastatic bladder cancer rapid autopsy programme enriched in histological subtypes4 to profile individuals with terminal disease. Here by reconstructing the evolutionary histories of patient tumours, we show that metastasis-to-metastasis seeding is the dominant pattern of cancer spread and that increased polyclonal migration predicts poor prognosis. The burden, heterogeneity and timing of genomic alterations differ markedly among histological subtypes. Plasmacytoid and neuroendocrine variants develop early driver alterations associated with shorter survival. Mutational signature analyses and experimental models demonstrated that plasmacytoid tumours uniquely use the Fanconi anaemia pathway to mitigate chemotherapy-induced genomic scarring. Single-nucleus profiling revealed mixed cell states in histological subtypes and an association between transcriptional heterogeneity and patient survival. Characterization of the tumour microenvironment uncovered distinct immune states across subtypes, with plasmacytoid tumours exhibiting immune-inflamed profiles, whereas squamous tumours are predominantly immunosuppressive. Last, we demonstrate that post-mortem cell-free DNA captures genomic and transcriptional heterogeneity of the subtypes, which provides a potential strategy for noninvasive assessment of tumour identity and aggressiveness. Our results provide new insights into how tumour heterogeneity shapes the evolutionary history of disease progression in bladder cancer histological subtypes.

Journal Article↗
PubMed2025

Impact of stromal maturity and proportion on prognosis and immune landscape in colorectal cancer.

BACKGROUND: Tumour microenvironment and cancer cells have constant interaction affecting cancer progression. Tumour-stroma ratio (TSR) in the tumour centre and desmoplastic reaction (DR) classification at the invasive margin are prognostic factors based on stroma evaluation on H&E slides. However, their combined value and immunological associations remain poorly defined. This study examines the prognostic and immunological value of TSR, DR, and their combination in two large colorectal cancer cohorts. METHODS: Two colorectal cancer cohorts (N&#x2009;=&#x2009;1,876) were analyzed. We introduced a three-tiered Stromal Maturity and Proportion Score (SMAPS) based on the presence of high (>50%) TSR and myxoid stroma (immature DR classification). Alcian blue staining was used to further quantify myxoid stroma. Multiplex immunohistochemistry combined with digital image analyses, was utilized to study immune cell densities associated with SMAPS, TSR, DR, and Alcian blue intensity. RESULTS: In the study cohort (N&#x2009;=&#x2009;1,100), SMAPS was a stronger predictor of cancer-specific mortality [HR for high (vs. low) SMAPS 2.01 (95% CI 1.47-2.75), p&#x2009;<&#x2009;0.0001] compared to TSR [HR for stroma-high (vs. stroma-low) 1.49 (95% CI 1.15-1.93), p&#x2009;=&#x2009;0.003] and DR classification [HR for immature (vs. mature) 1.84 (95% CI 1.39-2.45), p&#x2009;<&#x2009;0.0001]. High SMAPS, stroma-high TSR, and immature DR correlated with lower densities of CD3+ T cells, B cells, M1-like macrophages, CD66B+ granulocytes, and mast cells. Alcian blue staining was associated with immature DR and corresponding immune cells. The validation cohort (N&#x2009;=&#x2009;776) confirmed the association of SMAPS with survival and T cell densities. CONCLUSIONS: TSR and DR are independent prognostic factors for cancer-specific survival. SMAPS is a promising prognostic tool that integrates stromal maturity at the invasive margin and stromal proportion in the tumour centre. SMAPS has stronger prognostic value compared to TSR and DR classifications alone. A high stromal proportion and myxoid content are associated with an immunosuppressive microenvironment characterized by lower densities of antitumourigenic immune cells.

Humans↗
PubMed2026

CRISPR-Engineered CAR-T Cell Therapy for Epstein-Barr Virus-Associated Nasopharyngeal Carcinoma: A Review of Emerging Therapeutic Prospects.

Epstein-Barr virus (EBV)-associated nasopharyngeal carcinoma (NPC) remains a clinically challenging malignancy, particularly in recurrent or metastatic disease where durable responses to chemoradiotherapy and immune checkpoint blockade are limited. The viral aetiology of NPC provides a strong biological rationale for immune-based treatment; however, translation of chimaeric antigen receptor (CAR) T-cell therapy into this solid tumour setting is constrained by poor tumour trafficking, antigen heterogeneity, limited surface accessibility of EBV latent antigens, T-cell exhaustion, and an immunosuppressive tumour microenvironment. This review critically evaluates the emerging therapeutic prospects of CRISPR-engineered CAR-T cell therapy for EBV-associated NPC. It synthesises evidence on EBV latency biology, NPC immune evasion, solid-tumour CAR-T limitations, and genome-engineering strategies including conventional CRISPR-Cas9, base editing, prime editing, and double-strand-break-sparing targeted integration. Particular attention is given to genotoxicity, chromosomal rearrangements, chromosome loss, bystander and off-target editing, manufacturing heterogeneity, and the regulatory and biological barriers that currently separate technical feasibility from NPC-specific clinical implementation. Available clinical evidence from checkpoint blockade, EBV-specific adoptive T-cell therapy, base-edited CAR-T cells in haematologic malignancy, and early CRISPR-edited T-cell trials supports the feasibility of immune and genetic redirection but does not establish efficacy of a clinically validated CRISPR-engineered CAR-T platform for NPC. Future development should prioritise surface-accessible antigen validation, fit-for-purpose selection of editing technology, genomic safety, scalable manufacturing, and biomarker-driven early-phase trials.

Humans↗
PubMed2026

Inhibiting macrophage-derived lactate transport restores cGAS-STING signalling and enhances antitumour immunity in glioblastoma.

Glioblastoma (GBM) is a malignancy with a complex tumour microenvironment (TME) dominated by GBM stem cells (GSCs) and infiltrated by tumour-associated macrophages (TAMs) and exhibits aberrant metabolic pathways. Lactate is a critical glycolytic metabolite that promotes tumour progression; however, the mechanisms of lactate transport and lactylation in the TME of GBM remain elusive. Here we show that lactate is transported from TAMs to GSCs via MCT4-MCT1. TAMs provide lactate to GSCs, promoting GSC proliferation and inducing lactylation of the non-homologous end joining protein KU70 at lysine 317 (K317), which inhibits cGAS-STING signalling and remodels the immunosuppressive TME. Inhibition of lactate transport or targeting the lactylation of KU70, in combination with the immune checkpoint blockade, demonstrates additive therapeutic benefits in immunocompetent xenograft models. This study unveils TAM-derived lactate and lactylation as critical regulators in GSCs to enforce an immunosuppressive microenvironment, opening avenues for developing combinatorial therapy for GBM.

Glioblastoma↗
PubMed2026

A conserved grain-associated immunosuppressive niche in Sudanese patients with mycetoma.

Mycetoma is a neglected tropical disease caused by various bacterial and fungal pathogens that has a significant health impact across a broad geographically defined "mycetoma belt" spanning South America, Africa and Asia. Histologically, mycetoma is characterised by invasive and destructive granuloma development in the skin, deep tissues and bone, leading to tissue destruction, deformities and high morbidity. The presence of macroscopic, highly compacted pathogen microcolonies, or "grains," is a key diagnostic feature, and the formation of grains supports pathogen persistence and disease chronicity. However, there is a paucity of information on immune responses in mycetoma patients and on the relative importance of phylogeny and/or grains in establishing the local immune landscape. Here, we used spatial proteomics to examine the distribution of 43 immune-related proteins in surgical biopsies from 11 patients with mycetoma of bacterial (actinomycetoma; Actinomadura pelletierii and Streptomyces somaliensis; n&#x2009;=&#x2009;6) and fungal (eumycetoma; Madurella mycetomatis; n&#x2009;=&#x2009;5) origin. Using mixed-effects modelling, an exploratory analysis across species and pathogen classes revealed few significant differences in immune marker expression. In contrast, and independently of pathogen class, the cellular infiltrate closest to grain boundaries had higher per-cell expression of CD66b+ neutrophils, ARG1, and VISTA. The preferential accumulation of CD66b+ARG1+VISTA+ cells at grain boundaries was confirmed by quantitative immunofluorescence analysis. Hence, the local tissue microenvironment surrounding the mycetoma grain represents a specialised immunosuppressive niche, with parallels to the tumour microenvironment. Trial Registration The study was prospectively registered on ClinicalTrials.gov NCT04401969.

Adult↗