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PubMed2026

Genetic diversity of Collaborative Cross mice implicates FFAR3 as a target for ILC2 anti-inflammatory reprogramming.

Pulmonary group 2 innate lymphoid cells (ILC2s) are key drivers of Type 2 inflammation in diseases like asthma, yet the molecular mechanisms regulating their function are incompletely understood. Using the genetically diverse Collaborative Cross (CC) mouse panel, we mapped a quantitative trait locus (QTL) that governs ILC2 prevalence in the lung after aeroallergen exposure. This QTL induces a large population of ILC2s in the lung that are resistant to activation and have diminished Type 2 effector function. We identified free-fatty acid receptor 3 (Ffar3) as a gene responsible for this effect and demonstrated that FFAR3 signaling reprograms ILC2s to an anti-inflammatory state by promoting their survival, reducing Type 2 cytokine production, and enhancing IL-10 expression. This anti-inflammatory state is dependent on IL-2 signaling, is characterized by decreased ST2 expression, and is distinct from previously described IL-10-producing ILC2 phenotypes. FFAR3-dependent reprogramming is mediated by epidermal growth factor receptor (EGFR) upregulation, and FFAR3's anti-inflammatory effect is partially conserved in human ILC2s.

Animals↗

PubMed2026

Dendritic cells control tertiary lymphoid structure development and maintenance in cancer.

Tertiary lymphoid structures (TLSs) are associated with immunotherapy response, yet the mechanisms controlling their formation and maintenance remain unclear. Using spatial transcriptomics and multiplex imaging across human tumors, we found that CCR7+ mature dendritic cells (DCs) accumulate in TLSs. In a mouse non-small cell lung cancer model that forms mature TLSs, we show that early TLS development requires interferon-γ (IFN-γ)-driven type 1 conventional dendritic cell (cDC1) maturation, migration to tumor-draining lymph nodes (tdLNs), and T cell recruitment. As tumors progress, TLSs persist independently of tdLN T cell egress, coinciding with cDC1 accumulation within intratumoral CCL19 stromal hubs. There, cDC1-major histocompatibility complex class 1 (MHC-I) and -MHC-II concomitant antigen presentation, along with CD40 signaling, sustain TLS, T follicular helper (TFH) cell pool, germinal centers, and tumor-specific immunoglobulin G (IgG). These findings highlight local mature cDC1s as key TLS orchestrators and potential targets to enhance antitumor TLS function.

Animals↗

PubMed2025

Multimodal profiling reveals tissue-directed signatures of human immune cells altered with age.

The immune system comprises multiple cell lineages and subsets maintained in tissues throughout the lifespan, with unknown effects of tissue and age on immune cell function. Here we comprehensively profiled RNA and surface protein expression of over 1.25 million immune cells from blood and lymphoid and mucosal tissues from 24 organ donors aged 20-75 years. We annotated major lineages (T cells, B cells, innate lymphoid cells and myeloid cells) and corresponding subsets using a multimodal classifier and probabilistic modeling for comparison across tissue sites and age. We identified dominant site-specific effects on immune cell composition and function across lineages; age-associated effects were manifested by site and lineage for macrophages in mucosal sites, B cells in lymphoid organs, and circulating T cells and natural killer cells across blood and tissues. Our results reveal tissue-specific signatures of immune homeostasis throughout the body, from which to define immune pathologies across the human lifespan.

Humans↗

PubMed2026

Effect of Tertiary Lymphoid Structures on Immune Cell Infiltration in the Tumor Microenvironment and Prognosis in Lung Adenocarcinoma.

Tertiary lymphoid structures (TLSs) modulate immune responses in various solid tumors, but their comprehensive role in lung adenocarcinoma (LUAD) remains unclear. In this study, we analyzed RNA-seq data from 539 LUAD patients in The Cancer Genome Atlas (TCGA) and microarray data from 223 samples from the Gene Expression Omnibus (GEO, GSE13213, and GSE37745). TLS signatures were evaluated via unsupervised consensus clustering based on 12 chemokine transcriptome signatures. The relationships between TLS and clinical characteristics, tumor microenvironment (TME) cell infiltration, and prognosis were assessed using ESTIMATE and CIBERSORT. A prognostic model was established using LASSO regression and validated with external datasets. Additionally, H&E and IHC analyses were performed to explore associations between intratumoral TLS density, immune-related molecular expression, and patient prognosis in LUAD. Consensus clustering of the TCGA cohort revealed two distinct LUAD patient clusters according to TLS abundance. Cluster 1 exhibited greater immune cell infiltration, more favorable prognosis, and increased expression of immune checkpoint molecules. We developed a prognostic model comprising eight survival-associated genes that act as independent prognostic factors for patient survival. H&E/IHC analyses revealed that TLS density-regardless of pathological stage-was associated with better prognosis; higher intratumoral TLS density/proportion was also related to more favorable outcomes. IHC confirmed that survival-associated genes (CD5, HLA-DMB, and P2RY13) are independent prognostic indicators in LUAD. Our study demonstrated the close relationship between TLS signatures and an active immune microenvironment, highlighting their potential as independent prognostic indicators in LUAD.

Humans↗

PubMed2023

GBMdeconvoluteR accurately infers proportions of neoplastic and immune cell populations from bulk glioblastoma transcriptomics data.

BACKGROUND: Characterizing and quantifying cell types within glioblastoma (GBM) tumors at scale will facilitate a better understanding of the association between the cellular landscape and tumor phenotypes or clinical correlates. We aimed to develop a tool that deconvolutes immune and neoplastic cells within the GBM tumor microenvironment from bulk RNA sequencing data. METHODS: We developed an IDH wild-type (IDHwt) GBM-specific single immune cell reference consisting of B cells, T-cells, NK-cells, microglia, tumor associated macrophages, monocytes, mast and DC cells. We used this alongside an existing neoplastic single cell-type reference for astrocyte-like, oligodendrocyte- and neuronal progenitor-like and mesenchymal GBM cancer cells to create both marker and gene signature matrix-based deconvolution tools. We applied single-cell resolution imaging mass cytometry (IMC) to ten IDHwt GBM samples, five paired primary and recurrent tumors, to determine which deconvolution approach performed best. RESULTS: Marker-based deconvolution using GBM-tissue specific markers was most accurate for both immune cells and cancer cells, so we packaged this approach as GBMdeconvoluteR. We applied GBMdeconvoluteR to bulk GBM RNAseq data from The Cancer Genome Atlas and recapitulated recent findings from multi-omics single cell studies with regards associations between mesenchymal GBM cancer cells and both lymphoid and myeloid cells. Furthermore, we expanded upon this to show that these associations are stronger in patients with worse prognosis. CONCLUSIONS: GBMdeconvoluteR accurately quantifies immune and neoplastic cell proportions in IDHwt GBM bulk RNA sequencing data and is accessible here: https://gbmdeconvoluter.leeds.ac.uk.

Humans↗

PubMed2026

Spatial habitat radiomics predicts tertiary lymphoid structure status and identifies an IDO1+ migratory dendritic cell axis in breast cancer.

BACKGROUND: Tertiary lymphoid structures (TLS) are spatially organized immune niches associated with therapeutic response and favorable outcomes in breast cancer (BC). However, TLS assessment currently relies on invasive tissue-based analyses, and the biological mechanisms underlying imaging-based TLS prediction remain poorly understood. METHODS: We developed and validated a spatial heterogeneity-based radiomic TLS signature (shTLS) using dynamic contrast-enhanced MRI to non-invasively predict TLS status across multicenter BC cohorts. Spatial habitat radiomics were used to capture intratumoral and peritumoral immune-related heterogeneity. Integrated multi-omics analyses, including transcriptomics, pathomics, genomics, single-cell RNA sequencing, immunohistochemistry, and multiplex immunofluorescence, were performed to biologically interpret shTLS-defined subgroups. Functional drug-sensitivity assays were conducted to assess therapeutic implications. RESULTS: The shTLS model achieved robust predictive performance across independent cohorts and molecular subtypes. High shTLS scores were associated with immune-inflamed tumors characterized by spatially clustered activated T cells and dendritic cells (DCs). In contrast, shTLS-low tumors exhibited an immunosuppressive spatial niche with peripheral accumulation of CD4+ PD-1+ T cells and plasma cells, increased immune-tumor separation, and enhanced inflammatory and immunoregulatory signaling. An indoleamine 2,3-dioxygenase 1 (IDO1)-associated immunoregulatory program was observed in the shTLS-low tumors, which appeared to be preferentially expressed by LAMP3+CCR7+ migratory DCs. Pharmacologic inhibition of IDO1 enhanced chemotherapy and CDK4/6 inhibitor sensitivity in vitro. CONCLUSION: This study establishes spatial radiomics as a non-invasive approach to decode TLS-associated immune ecosystems and supports the presence of an IDO1-associated immunosuppressive phenotype, providing biological insight and translational rationale for patient stratification and future combination strategies.

Humans↗

PubMed2026

The IL-1 system in inflammation and cancer.

Inflammation is a pathogenetic driver of several pathological conditions, including cancer. The tumor microenvironment, which includes cellular, molecular, and structural components, is an essential component of cancer, involved in tumor promoting or controlling processes. In particular, inflammatory players contribute to the establishment of a tumor-promoting microenvironment, which affects all stages of tumor development, from initiation to metastasis, as well as response to therapy. The IL-1 system includes two large sets of structurally related ligands and receptors, with agonist or regulatory activity, playing non-redundant roles in inflammation and immunity. Each of them has specific functions in tissue homeostasis, inflammation, innate and adaptive immune responses, and potentially contributes to processes related to carcinogenesis and metastasis, or immune-mediated control of cancer cells. Depending on the context and cellular target, IL-1 family members may play dual roles in cancer, driving both pro- or anti-tumor processes. IL-1α and IL-1β can directly promote cancer cell proliferation, survival, and plasticity, in addition to contribute to the establishment of a pro-inflammatory environment that promotes tissue remodeling, cellular stress responses, and genomic instability. On the other hand, IL-1 is a lymphoproliferative and activating molecule in innate and adaptive responses, thus contributing to anti-tumor immune mediated responses. In addition, members of the IL-1 system act as regulators of mechanisms involved in cancer, including emergency hematopoiesis, trained immunity, and metabolism. Here, we will provide an overview of the IL-1 system in cancer and discuss the functional complexity of IL-1 family cytokines, which orchestrate both protective and pro-tumorigenic responses, by directly acting on cancer cells and by driving environmental stimuli which indirectly act on cancer cells.

Humans↗

PubMed2025

Refined cell transfer model reveals roles for Ascl2 and Cxcr3 in splenic localization of mouse NK cells during virus infection.

Cell transfer experiments complement the rigorous investigation of antiviral and antitumor functions of natural killer (NK) cells. Success in these endeavors is enhanced by expansion of small numbers of input NK cells driven by viral antigens or homeostatic proliferation in immunodeficient hosts. In contrast, analysis of other NK-cell functions, including immunoregulation, are non-proliferative and require an intact immune system in recipient mice. We reveal poor persistence of conventional congenic (CD45.1) BoyJ NK cells following adoptive transfer in comparison to CRISPR-generated CD45.1+ (JAXBoy) NK cells. Reciprocal transfers between C57BL/6 and JAXBoy mice substantially improve seeding and maintenance of donor NK cells. Using this system, we confirm that CXCR3 re-positions NK cells in the white pulp of the spleen after infection, which is vital for immunoregulation. Moreover, we discovered that the transcription factor ASCL2 is required for recruitment of NK cells into the spleen and white pulp. These results provide improved tools and novel insights into NK cell biology.

Animals↗

PubMed2026

An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.

The immunoregulatory architecture of human oral tissues remains poorly defined. We present an integrated single-cell and spatial proteotranscriptomic atlas profiling >250,000 single-cell transcriptomes and >4 million spatially resolved cells across 13 niches. Using our AI-enabled AstroSuite, we defined neighborhoods and interaction modules, revealing peri-epithelial fibroblast-centered hubs enriched in effector cytokines. We harmonized fibroblast subtypes (universal, immune, peri-epithelial, peri-vascular, peri-neural, antigen-presenting cell [APC]-like, stress responsive, and myofibroblasts) with stress-responsive subtypes partitioning between mucosae and glands (type I and II). Spatial multiomics mapped ligand-receptor programs and identified mucosal stress-responsive fibroblasts as putative immunoregulatory hubs. Niche-aware integration of healthy and diseased datasets revealed fibroblast rewiring into inflammatory and reparative niches. Disease neighborhoods exhibited expansion of major histocompatibility complex (MHC)-I+, MHC-II+, and programmed cell death ligand 1 (PD-L1)+ fibroblasts and predicted spatial engagement with T cells at tertiary lymphoid structures. Together, this atlas identifies fibroblasts as central regulators of structural immunity and provides a scalable framework to target stromal-immune interactions across barrier organs.

Journal Article↗

PubMed2004

Ternary complex factor-serum response factor complex-regulated gene activity is required for cellular proliferation and inhibition of apoptotic cell death.

Members of the ternary complex factor (TCF) subfamily of the ETS-domain transcription factors are activated through phosphorylation by mitogen-activated protein kinases (MAPKs) in response to a variety of mitogenic and stress stimuli. The TCFs bind and activate serum response elements (SREs) in the promoters of target genes in a ternary complex with a second transcription factor, serum response factor (SRF). The association of TCFs with SREs within immediate-early gene promoters is suggestive of a role for the ternary TCF-SRF complex in promoting cell cycle entry and proliferation in response to mitogenic signaling. Here we have investigated the downstream gene regulatory and phenotypic effects of inhibiting the activity of genes regulated by TCFs by expressing a dominantly acting repressive form of the TCF, Elk-1. Inhibition of ternary complex activity leads to the downregulation of several immediate-early genes. Furthermore, blocking TCF-mediated gene expression leads to growth arrest and triggers apoptosis. By using mutant Elk-1 alleles, we demonstrated that these effects are via an SRF-dependent mechanism. The antiapoptotic gene Mcl-1 is identified as a key target for the TCF-SRF complex in this system. Thus, our data confirm a role for TCF-SRF-regulated gene activity in regulating proliferation and provide further evidence to indicate a role in protecting cells from apoptotic cell death.

Alleles↗

PubMed2022

The International Consensus Classification of Mature Lymphoid Neoplasms: a report from the Clinical Advisory Committee.

Since the publication of the Revised European-American Classification of Lymphoid Neoplasms in 1994, subsequent updates of the classification of lymphoid neoplasms have been generated through iterative international efforts to achieve broad consensus among hematopathologists, geneticists, molecular scientists, and clinicians. Significant progress has recently been made in the characterization of malignancies of the immune system, with many new insights provided by genomic studies. They have led to this proposal. We have followed the same process that was successfully used for the third and fourth editions of the World Health Organization Classification of Hematologic Neoplasms. The definition, recommended studies, and criteria for the diagnosis of many entities have been extensively refined. Some categories considered provisional have now been upgraded to definite entities. Terminology for some diseases has been revised to adapt nomenclature to the current knowledge of their biology, but these modifications have been restricted to well-justified situations. Major findings from recent genomic studies have impacted the conceptual framework and diagnostic criteria for many disease entities. These changes will have an impact on optimal clinical management. The conclusions of this work are summarized in this report as the proposed International Consensus Classification of mature lymphoid, histiocytic, and dendritic cell tumors.

Advisory Committees↗

PubMed2026

Plasma cell-CD8+ T cell co-enrichment distinguishes immunotherapy-responsive hepatocellular carcinoma subtypes.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterised by significant racial disparities in incidence and outcomes, yet whether these reflect distinct tumour biology or differential distribution of molecular subtypes among immunotherapy patients remains unclear. METHODS: We characterised molecular heterogeneity among 46 patients with HCC of differing background population from the NCI-CLARITY cohort receiving immune checkpoint inhibitor therapy, using transcriptomic and genomic profiling, with validation across multiple independent cohorts. RESULTS: Differential expression analysis comparing African American versus non-African American patients identified 126 genes, of which 55 demonstrated tumour-specific expression across independent validation cohorts with paired tumour-normal samples. Consensus clustering revealed two molecular subtypes with no significant race association, indicating these clusters capture tumour-intrinsic biology rather than ancestry. The genomic landscape showed minimal differences between subtypes. A prognostic signature derived from these expression profiles demonstrated significant risk stratification in the NCI-CLARITY cohort and TCGA-LIHC, but not in Asian cohorts, suggesting population-specific applicability. Immune deconvolution revealed that the two subtypes represent distinct immune microenvironments: one subtype exhibited markedly elevated plasma cell infiltration with strong plasma cell-CD8+T cell correlation suggesting coordinated adaptive immunity, along with elevated tertiary lymphoid structure signatures. The other subtype showed regulatory T cell-macrophage correlation and enrichment for immune-excluded phenotypes. The immune-enriched subtype trended towards higher immunotherapy response rates. CONCLUSIONS: Molecular heterogeneity in HCC reveals distinct tumour-immune ecosystems that transcend racial classification. Tumour immune heterogeneity in HCC reflects distinct molecular patterns, with immune hot tumours characterised by elevated tertiary lymphoid structure signatures and enriched plasma cell and CD8+T cells. These patterns may serve as prognostic biomarkers for immunotherapy patient stratification and demonstrate the value of diverse cohort representation in identifying clinically relevant therapeutic targets.

Gastrointestinal Cancer↗

PubMed2025

Artificial intelligence-powered spatial analysis of tumor microenvironment in patients with non-small cell lung cancer with acquired resistance to EGFR tyrosine kinase inhibitor.

PURPOSE: This study evaluated the dynamic changes in the tumor microenvironment (TME) in patients with non-small cell lung cancer (NSCLC) and acquired resistance to epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) using an artificial intelligence (AI)-powered spatial TME analyzer. We then assessed the predictive efficacy of immune-checkpoint inhibitors (ICIs)-based treatment. EXPERIMENTAL DESIGN: An AI-powered whole-slide image analyzer was used to segment cancer areas (CAs) and cancer stroma and to identify tumor-infiltrating lymphocytes (TILs), tertiary lymphoid structures, fibroblasts, and endothelial cells (ECs) in the tumor tissue. We analyzed 143 NSCLC samples after resistance to EGFR-TKIs from two cohorts: (1) 89 patients treated with ICI monotherapy and (2) 54 patients from the ATTLAS phase III trial comparing atezolizumab plus bevacizumab, paclitaxel, and carboplatin (ABCP) versus pemetrexed plus carboplatin. RESULTS: Post-TKI samples showed reduced TILs in the CA (p=0.045) and increased ECs in the CA (p=0.005) compared with pre-TKI samples. These changes differed according to EGFR mutation subtype. Higher TILs in CA were associated with a better overall response rate (ORR) and progression-free survival (PFS). Similarly, higher EC levels in CA correlated with improved ORR and PFS. In the ATTLAS cohort, these factors were associated with clinical benefits from ABCP, with a significant association with TILs and a marginal association with ECs. CONCLUSION: Our findings suggest that EGFR-TKIs affect the immune landscape of patients with EGFR-mutated NSCLC. Higher TILs or ECs in the CA were significantly associated with a favorable response to subsequent ICI-based treatment. TRIAL REGISTRATION NUMBER: NCT03991403.

Aged↗

PubMed2026

Mature Tertiary Lymphoid Structures in Breast Cancers Are Associated With Antitumor Immunity and Better Prognosis.

Tertiary lymphoid structures (TLSs) are immune cells accumulated in nonlymphoid tissues, with an inner core of B cells encompassed by T cells. The aim of this study was to evaluate the clinical importance of mature TLSs in breast cancer, including their association with immunotherapy response and their role in modulating the tumor immune microenvironment. We analyzed histopathological data of 726 consecutive primary breast cancers and transcriptomic data of 824 breast cancer samples from the publicly available The Cancer Genome Atlas database to estimate the clinical and immunological values of mature TLSs in breast cancer. Additionally, we utilized pretreatment transcriptomic data of 69 patients with breast cancer from the publicly available I-SPY2 clinical trial to investigate the relation between TLS-related gene signatures and patient responses to immune checkpoint inhibitors. The existence of mature TLSs was identified in ⁓5.6% (41/726) of all patients with breast cancer (hormone receptor-positive human epidermal growth factor receptor-2 negative (HR+HER2-): 0.92%; triple-negative breast cancer (TNBC): 14.96%; and human epidermal growth factor receptor-2 positive (HER2+): 10.98%) and was independently associated with improved recurrence-free survival after adjusting for subtypes, tumor-infiltrating lymphocyte levels, and tumor stage after the multivariable Cox regression analysis in our patient cohort. Notably, the presence of mature TLSs was related to immune cell infiltration in our breast cancer patient cohort. In line with these findings, TLS-related gene signatures analyzed through transcriptomic data reliably reflected the existence of mature TLSs and were related to better clinical responses to immune checkpoint inhibitors in patients with breast cancer. In conclusion, our findings show that mature TLS formation is linked with immune cell infiltration, contributes to a favorable prognosis, and may function as a potential complementary biomarker for immunotherapy response in breast cancer.

Humans↗

PubMed2026

Genetic and clinical insights into the coexistence of multiple myeloma and diffuse large B cell lymphoma from a case report and systematic review with bioinformatics analysis.

BACKGROUND: Multiple myeloma (MM) and diffuse large B-cell lymphoma (DLBCL) are B-cell malignancies that rarely coexist in a single patient, presenting significant diagnostic and therapeutic challenges. While MM primarily involves clonal plasma cells, DLBCL is an aggressive lymphoid neoplasm. Investigating shared genetic mutations and understanding their clinical relevance in both cancers could provide novel insights into their pathogenesis and underlying molecular mechanisms, thereby informing future translational research. MATERIALS AND METHODS: A case report was conducted on a 52-year-old male who presented with abdominal pain and anemia. Imaging revealed lymphadenopathy, and biopsy confirmed high-grade DLBCL with concurrent bone marrow involvement suggestive of MM. Laboratory tests identified monoclonal IgM gammopathy, and the patient was treated with R-CHOP (Rituximab, Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone) chemotherapy for DLBCL followed by autologous stem cell transplantation (ASCT) for MM relapse. A systematic review of the literature was performed using PubMed, Scopus, and Web of Science databases to identify cases of patients diagnosed with both MM and DLBCL. Data on patient demographics, clinical features, treatment regimens, and outcomes were extracted. Additionally, bioinformatics analysis was conducted using publicly available genomic data from cBioPortal and IntOGen to identify driver gene mutations in MM and DLBCL. Functional and pathway enrichment analysis was performed with KEGG and Gene Ontology (GO) databases. RESULTS: The case report highlighted a complex clinical course where the patient initially responded well to R-CHOP chemotherapy for DLBCL, achieving remission, but later relapsed with MM, treated with ASCT and lenalidomide. The systematic review revealed 14 eligible studies in which MM and DLBCL often occur in older patients, either simultaneously or sequentially, with variable treatment responses, including complete remission, partial remission, or relapse. The bioinformatics analysis identified several shared function and cancer-related pathways between two cancers including interleukin and cytokine-mediated signaling pathways, regulation of cell cycle, neurotrophin signaling pathway, FOXO signaling pathway, Epstein Barr virus infection, and viral carcinogenesis. CONCLUSION: This study provides valuable insights into the dual occurrence of MM and DLBCL, emphasizing the importance of tailored treatment approaches. The driver mutations identified highlight overlapping oncogenic pathways rather than implying a shared clonal origin, and may inform future studies exploring their biological and clinical implications. Further research into these shared molecular mechanisms could lead to more effective treatments for patients with coexisting MM and DLBCL.

Bioinformatics analysis↗

PubMed2026

IDH2 clonal hematopoiesis and IKAROS loss cooperate in a B-ALL subtype after lenalidomide therapy for multiple myeloma.

Lenalidomide, a maintenance treatment in multiple myeloma first-line therapy, increases the risk of secondary malignancies, including B-cell precursor acute lymphoblastic leukemia (B-ALL). We present a comprehensive molecular characterization of 57 patients with lenalidomide-associated B-ALL (LenB-ALL), revealing 3 mutational subgroups: (1) TP53mt (30%); (2) IDH2mt (p.R140Q) (23%); and (3) other, including NRAS/KRASmt. Remarkably, IDH2 R140Q mutations were highly enriched in LenB-ALL compared with those in primary B-ALL (P< .001). Furthermore, IKZF1 intragenic deletions, often subclonal and likely RAG recombinase-mediated, were observed in 54% (7/13) of IDH2mt patients with LenB-ALL. IDH2 mutations were not restricted to the leukemic clone: they persisted during measurable residual disease-negative remission and were identified in lymphoid as well as myeloid cell populations using fluorescence-activated cell sorting and single-cell RNA sequencing. This indicates a preleukemic origin of the IDH2 mutation within the context of clonal hematopoiesis. Transcriptomic and DNA methylation analyses revealed a distinct gene expression profile and a DNA hypermethylation phenotype in IDH2mt LenB-ALL, including IDH2mt-specific as well as lenalidomide-associated features. We propose that lenalidomide promotes the expansion of IDH2-mutated clonal hematopoiesis and, via IKAROS downregulation, induces a maturation arrest at the B-cell precursor stage. Subsequent genetic or epigenetic alterations render leukemogenesis independent of ongoing lenalidomide exposure. All these data define IDH2mt B-ALL as a distinct molecular subtype that is markedly overrepresented after lenalidomide treatment and highlight clonal hematopoiesis as a key contributing factor in the development of LenB-ALL.

Humans↗

PubMed2026

Diversified cell origin of Helicobacter pylori eradication-responsive gastric diffuse large B-cell lymphomas.

A significant proportion of gastric diffuse large B-cell lymphoma with mucosa-associated lymphoid tissue [DLBCL(MALT)] and without MALT ('pure' DLBCL) can be resolved by Helicobacter pylori eradication (HPE). Gastric MALT lymphoma is an indolent lymphoma derived from memory B cells in the marginal zone. In the present study, we aimed to explore the origin of large cells in HPE-responsive gastric DLBCLs (complete remission after HPE). We investigated gastric lymphoma biopsies from 31 patients with HPE-responsive DLBCLs [15 'pure' DLBCLs, 16 DLBCL(MALT)s]. We used the Hans algorithm (CD10, BCL-6, and MUM1) to define the origins of germinal center B cell (GCB) and non-GCB. To further ascertain the cellular origin, 11 'pure' DLBCLs were examined using an Agilent whole-human genome microarray. Eleven DLBCLs [eight with 'pure' DLBCL and three with DLBCL(MALT)] were also assessed using Lymph2Cx. Specific GCB markers, including BACH2, AID, and BCL2 rearrangement and enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2) codon 641 mutations, were evaluated in 31 patients with HPE-responsive gastric DLBCLs. According to the Hans algorithm, 53% (8/15) of gastric 'pure' DLBCLs and 50% (8/16) of DLBCL(MALT)s were of the GCB phenotype. Gene expression assays revealed that five of six patients with 'Hans' GCB had GCB genetic signatures, whereas four of five patients with 'Hans' non-GCB had activated B-cell genetic signatures. The Lymph2Cx assay revealed the GCB subtype in seven of eight patients with 'Hans' GCB. The expression patterns of BACH2 (p = 0.005) and AID (p = 0.038) closely correlated with the 'Hans' GCB phenotype. BCL2 rearrangements and EZH2 codon 641 mutations were detected in 44% (7/16) and 13% (2/16) of patients with 'Hans' GCB, respectively. In another cohort of 29 HPE-unresponsive gastric DLBCLs [19 'pure' DLBCLs and 10 DLBCL(MALT)s], we found a close association between the 'Hans' GCB subtype and the GCB subtype as determined by the Agilent whole-human genome microarray and Lymph2Cx in lymphoma cells of these patients. In conclusion, more than half of HPE-responsive large cell lymphoma cases in the stomach were of GCB origin. © 2026 The Pathological Society of Great Britain and Ireland.

Humans↗

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↗