Cancer Immunology Research

Immune mobilizing monoclonal TCR against cancer (ImmTAC) are cancer therapeutics that activate T cells through recognition of a tumor-associated antigenic MHC/peptide complex. A first-in-class ImmTAC, Tebentafusp, is approved for the treatment of metastatic uveal melanoma. While clinical efficacy is thus established, the cellular mechanisms underpinning ImmTAC action are not fully resolved. Using a recently established experimental strategy to generate suppressed human primary cytotoxic T lymphocytes (CTL), we have investigated an ImmTAC that recognizes a peptide derived from the tumor associated antigen NY-ESO-1 in comparison to direct engagement of a TCR recognizing the same MHC/peptide complex. In response to endogenous antigen presentation, ImmTACs could elicit tumor cell cytolysis by suppressed CTL, but not IFN{gamma} secretion, in a manner dependent on the engager affinity for CD3{varepsilon}. ImmTACs enhanced the efficient execution of subcellular CTL polarization steps required for effective cytolysis and could trigger calcium signaling. These data establish that ImmTACs activate CTL similarly to direct engagement of a TCR by MHC/peptide and are likely to retain this capability under suppressive conditions such as in the tumor microenvironment.

Myeloid derived suppressor cells (MDSCs) are key players in the immune-suppressed tumor microenvironment (TME) and significantly contribute to immune checkpoint inhibition (ICI) resistance, making them favorable targets for cancer immunotherapy. Epigenetic reprogramming of MDSCs using histone deacetylase (HDAC) inhibitors shows promise to sensitize the TME to ICIs. However, the molecular mechanism of HDAC inhibition in MDSCs has yet to be elucidated. Murine and human MDSC models treated with Entinostat revealed that the long non-coding RNA Malat1 downregulates pSTAT3 and decreases MDSC-mediated suppression of T cell proliferation. Through HDAC inhibitor screens, we identified HDAC1 as preferentially regulating Malat1 expression, STAT3 activation, and MDSC suppression. We also show that HDAC1 inhibition increases MDSC apoptosis by shifting pro-vs. anti-apoptotic signals and increases G0/G1 cell cycle arrest via decreasing G1-S transition cyclin-CDK complexes. Collectively, our findings provide a multi-pronged mechanism of HDAC inhibition in MDSCs that inform the development of future rational combination therapies. One Sentence SummaryHDAC1 inhibition in MDSCs increases Malat1, decreases pSTAT3, induces apoptosis/cell cycle arrest, and decreases suppression of T cells

T cell lymphomas (TCL) are a heterogeneous collection of malignancies whose origins and pathogenesis are poorly understood and for which few efficacious therapeutic options exist. Here, we conduct single-cell transcriptomic profiling spanning eight TCL entities and describe entity-associated programmes. We predict the cell of origin for these tumours through an integrative analysis of transcriptome and T cell receptor (TCR) maturation states. By identifying tumours with TCR states ranging from the pre-TCR through non-productive and productive TCR alpha and beta chain rearrangements we shed new light on their developmental origins. Furthermore, we apply our drug2cell computational drug target predictions with drug screens using patient-derived cell models, systematically benchmarking the performance of drug2cell and validating compounds and targets. This process identifies SYK inhibitors as a therapeutic opportunity and prioritises TIM3 for immunotherapy based on combined spatial transcriptomics analysis. Overall, our data provide a resource for diagnostics and therapies for tumours of critical unmet need.

An immunosuppressive tumor microenvironment limits therapeutic efficacy and worsens prognosis in melanoma. Beyond T-cell abundance and function, effective tumor control also depends on whether T cells can access malignant cells within the tumor. Although emerging evidence supports that tumor vasculature facilitates immune evasion, the vascular mechanisms that govern intratumoral T-cell positioning remain poorly defined. Using RNA sequencing of endothelial cells isolated from tumor cores versus peripheries in a mouse melanoma model, we identified intercellular adhesion molecule 1 (ICAM-1) as a candidate regulator of T-cell localization. During tumor growth, T cells shifted from a balanced core-margin distribution to marked exclusion from the core, most prominently in T cell-inflamed tumors. This spatial redistribution --less evident in other immune subsets--coincided with high expression of lymphocyte function-associated antigen-1 (LFA-1) on T cells. In parallel, endothelial ICAM-1 became enriched at the tumor periphery, where vascular integrity was compromised, as evidenced by increased vascular leakage and reduced pericyte coverage. Functionally, ICAM-1 blockade restored intratumoral T-cell infiltration, enhanced effector activity, and significantly delayed the growth of immunogenic tumors. Moreover, ICAM-1 inhibition sensitized an immune-refractory tumor to anti-PD-1 checkpoint blockade. Together, these findings identify endothelial ICAM-1 as a vascular determinant of intratumoral T-cell positioning and highlight the ICAM-1/LFA-1 axis as a modifiable checkpoint to reverse T-cell retention at the tumor periphery, thereby enhancing antitumor immunity and immunotherapy efficacy.

Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumour immunity, and patient prognosis. While tumour-induced immune modulation in tumour-draining LNs (TDLNs) has been extensively studied using murine models, the systematic reconstruction of the immune system from primary tumours through TDLNs and subsequent lymph nodes in human cancer progression remains understudied. Here, we utilised integrated multi-omics approaches, including imaging mass cytometry, single-cell RNA sequencing, Visium and Xenium spatial transcriptomics, and multi-colour immunofluorescence to systematically characterise immune cell dynamics across 147 paired primary tumours, sentinel TDLNs (S-TDLNs), and secondary axillary LNs (ALNs) obtained from 50 treatment-naive triple-negative breast cancer patients with different progression statuses. Our comprehensive profiling revealed critical immune alterations, such as decreased type-2 conventional dendritic cells (cDC2), naive T cells, and B cells, along with an increase in immunosuppressive macrophages. Developing a novel single-cell transformer model, we identified substantial alterations in various immune cell populations, notably MARCO+ macrophages, which strongly correlated with breast cancer patient survival outcomes. Spatial analysis combined with our newly integrated cell-cell interaction platform revealed diminished immune cell communication and impaired priming interactions among dendritic cells, B cells, and T cells within metastatic lymph nodes and primary tumour sites. In an independent neoadjuvant immunotherapy cohort of 36 TNBC patients with 52 lymph node samples, we found preservation of CD1c cDC2 in lymph nodes predicted pathological complete response and longer event-free survival, highlighting cDC2 as a potential biomarker and therapeutic target. Collectively, this systematic mapping of immune landscape alterations during human sequential LN metastasis provides essential insights for understanding cancer metastasis mechanisms and paves the way for innovative immunotherapeutic strategies.

Immunosuppressive tumor microenvironment (TME) inactivates CD8+ cytotoxic lymphocytes (CTLs). Here, we identify SPTBN2 spectrin as a key immunosuppressive regulator induced in CTLs in response to nutritional deficit. In human pancreatic and colorectal cancers, SPTBN2 expression negatively correlated with CTL infiltration and patients survival. In TME of mouse pancreatic and colorectal adenocarcinomas, SPTBN2 inactivated intratumoral CTLs, stimulated tumor growth and conferred cross-resistance to anti-cancer therapies. SPTBN2 knockout protected CAR T-cells from trogocytosis and increased their memory state. SPTBN2 maintained levels of cell surface proteins such as BTLA that undermine CAR T-cell cytotoxicity and promote exhaustion. Re-expression of BTLA largely reversed phenotypes in SPTBN2-deficient CAR T-cells. In manufactured CAR T cells, SPTBN2 was associated with their clinical failure in pediatric patients with leukemia. Accordingly, ablation of SPTBN2 in CAR T-cells increased their cytotoxicity, in vivo persistence and therapeutic effects indicating that SPTBN2 can be targeted to increase the efficacy of anti-cancer therapies.

Malignant peripheral nerve sheath tumours (MPNSTs) are high grade soft-tissue sarcomas with an unmet need for novel therapies. Tumour antigen-based approaches, including neoantigen and tumour-associated antigen (TAA) directed therapies, offer potential opportunities for immunotherapy. Here, we integrated public domain tumour DNA and RNA sequencing data with in-silico prediction to systematically characterise the (neo)antigenic landscape of MPNST. We stratified the predictions across the two known sub-groups of MPNST, those associated without and with Polycomb Repressor Complex 2 (PRC2) loss of function variants (PRC2-Loss). Using computational pipelines including pVACtools, we identified high-confidence neoantigens based on pMHC affinity derived from somatic mutations and gene fusions, as well as recurrently overexpressed cell-surface TAAs. All predicted neoantigens were private to individual MPNST cases, with different neoantigens across both tumour subtypes. PRC2-Loss tumours showed reduced immune infiltration with downregulation of antigen processing and presentation pathways compared to PRC2-WT, confirming intrinsic constraints to effective neoantigen-directed immune priming. Moreover, PRC2-Loss MPNSTs demonstrated recurrent copy number driven overexpression of cell surface TAAs (chromosome 8), providing alternative immunotherapeutic targets that are pMHC independent. These findings confirm a PRC2-independent private immuno-antigenic peptide repertoire with an immune resistant MPNST microenvironment in PRC-Loss. These data provide further impetus for rational development of complementary immune based treatment strategies, including personalised neoantigen vaccines and cell surface protein TAA-directed therapies dependent on PRC2 status.

Cancer remains a major therapeutic challenge despite substantial advances in diagnosis and treatment, including immune checkpoint blockade. Among emerging immunotherapeutic approaches, adoptive cell transfer (ACT) has attracted growing interest. Human peripheral V{gamma}9V{delta}2 T cells are promising candidates for ACT because they combine rapid and potent antitumor functions with major histocompatibility complex (MHC)-independent tumor recognition, enabling allogeneic use with limited risk of graft-versus-host disease. This raises the possibility of generating standardized V{gamma}9V{delta}2 T-cell banks from healthy donors for off-the-shelf immunotherapy. Here, we provide preclinical evidence supporting the suitability of allogeneic human V{gamma}9V{delta}2 T cells for ACT. We characterized peripheral blood V{gamma}9V{delta}2 T cells from healthy donors after successive antigen-specific and non-specific amplification steps, assessing their phenotype, effector functions, and metabolic state. Amplified cells maintained a strong pro-inflammatory Th1-like profile, preserved cytotoxic activity, and did not produce immunoregulatory cytokines. They also displayed high purity, a predominant effector memory phenotype, reduced expression of several inhibitory immune checkpoints, and sustained antitumor reactivity. Altogether, these findings support the development of allogeneic V{gamma}9V{delta}2 T-cell products as a scalable platform for next-generation cancer immunotherapies.

Tolerogenic dendritic cells (TolDCs) are essential for immune tolerance and offer promise for treating autoimmune diseases. Despite the clinical evidence of their therapeutic potential, the key molecular pathways guiding their differentiation and tolerogenic phenotype remain elusive due to complex interactions identified in functional assays. Here we investigated the molecular profiles and regulatory programs underlying the functional status of tolerogenic dendritic cell populations in response to known tolerizing agents. We identified CD86 as a consistent and robust marker downregulated in tolerogenic state. Using CD86 blocking antibodies or CRISPR-mediated gene inactivation we demonstrated that CD86 is functionally required for TolDC-mediated suppression of T cell proliferation and cytokine secretion, establishing CD86 as both a consensus phenotypic and functional screening marker and a mechanistic regulator of tolerance. Leveraging CD86 as a scalable readout, we performed a pooled genome-wide CRISPR-Cas9 knockout screen to identify regulators of TolDC function. This approach uncovered UBE2L6 as a novel modulator that promotes the tolerogenic phenotype and restricts TolDC-mediated T cell activation. Mechanistically, UBE2L6 deficiency leads to coordinated upregulation of ISG15 and USP18, indicating a possible ISGylation-dependent pathway regulating CD86 expression and tolerogenic function. Together, this study identifies pathways that can be targeted to promote immune tolerance in immune-mediated inflammatory diseases. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/713621v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@4c3636org.highwire.dtl.DTLVardef@17b27e5org.highwire.dtl.DTLVardef@783d95org.highwire.dtl.DTLVardef@1337ce_HPS_FORMAT_FIGEXP M_FIG C_FIG

Background: Prostate cancer (PCa) presents a formidable clinical paradox. It is immunologically cold and resistant to immune checkpoint blockade (ICB), yet bulk genomic analyses consistently reveal low and non-prognostic expression of CD274 (PD-L1), the primary molecular target of such therapies. We hypothesised that this paradox arises from a failure of current methodologies to account for two critical, interacting dimensions: the granular heterogeneity of basal gene expression (the static engine) and the spatiotemporal dynamics of adaptive resistance mediated by interferon-gamma (the adaptive engine). Methods: We developed a rigorous, multi-phase computational framework integrating clinical genomics with hybrid agent-based modelling. In Phase I, we extracted and normalized CD274 mRNA expression from the TCGA-PRAD cohort (n = 554) to define the empirical landscape of basal resistance. In Phase II, we developed a spatial Agent-Based Model (ABM) parameterized by this distribution to simulate clonal selection. In Phase III, we extended this into a Hybrid Discrete-Continuum model, coupling discrete agents with a reaction-diffusion Partial Differential Equation (PDE) representing the IFN-{gamma} field. We simulated 50 stochastic replicates per arm across four experimental arms, including Diffusion and Induction knockouts. Results: Bulk TCGA analysis confirmed low average PD-L1 expression (Median Transcripts Per Million (TPM) = 1.48; Interquartile Range (IQR): 0.91-2.14) with no prognostic value (Hazard Ratio (HR) = 1.15; 95% Confidence Interval (CI): 0.67-1.97; log-rank p = 0.605). However, the static ABM revealed that rare, high-expressing genomic outliers (>9.0 TPM) drive persistence through Darwinian immunoediting, enriching the surviving population's resistance by 3.86-fold. The hybrid adaptive model demonstrated a far superior survival strategy: the IFN-{gamma}/PD-L1 feedback loop facilitated the emergence of "protective sanctuaries"-localised regions of high resistance at the tumour-immune interface. This mechanism increased final tumour burden by ~4.5-fold compared to static selection alone (p<0.001). Spatiotemporal analysis confirmed that resistance is not a fixed trait but a dynamic state induced by immune pressure. Diffusion knockout (D = 0) abolished sanctuary formation, reducing final burden by 65% (p<0.001), while induction knockout (Pmax = 0) reverted to static outcomes. Conclusions: This study resolves the cold tumour paradox by demonstrating that PCa resistance is driven by a twin engine of rare genomic outliers and adaptive spatial dynamics. The failure of biomarkers in PCa is due to their inability to capture the dynamic mirage of adaptive sanctuaries. Our validated framework offers a platform for testing synchronised therapeutic disruptions targeting both the static genomic landscape and the dynamic cytokine signalling axis.

BackgroundCutaneous melanoma (CM) is an aggressive skin cancer with rising incidence, representing a growing public health concern. Despite the remarkable success of immune-checkpoint inhibitors (ICIs) in the management of advanced disease, mortality remains high due to therapy resistance. Identifying reliable prognostic and predictive biomarkers is therefore essential to improve patient stratification, optimize treatment selection, and minimize unnecessary toxicity. MethodsWe comprehensively profiled the circulating immune landscape of 54 treatment-naive CM patients by integrating flow cytometry immunophenotyping with clinicopathological data, and performed tumor gene expression analysis in a subset of 26 patients. ResultsElevated HLA-DR and CD69 expression on circulating CD4+ T cells, together with reduced circulating CD8+ T cell frequency, emerged as candidate prognostic biomarkers associated with improved survival. Prognostic models combining these immune variables with clinical covariates accurately stratified patients by overall survival (89.5% sensitivity, 72.7% specificity; AUC = 0.872, p < 0.0001) and progression/recurrence risk (75% sensitivity and 71.4% specificity; AUC = 0.763, p = 0.001). In a subset of 43 patients subsequently treated with ICIs, elevated baseline HLA-DR and CD69 expression on circulating CD4+ T cells was also associated with therapeutic benefit. A predictive model integrating these markers with clinical covariates achieved good discriminatory performance (65.2% sensitivity, 88.9% specificity; AUC = 0.775, p = 0.0027). Tumor gene expression profiling supported the role of IFN-{gamma}-related signatures, previously linked to ICI response, as complementary prognostic and predictive tools. ConclusionThese findings highlight systemic CD4+ T cell activation status as a promising, easily measurable biomarker in CM, laying the foundation for future strategies to refine patient stratification and guiding immunotherapy decisions.

Engineering macrophages with chimeric antigen receptors is emerging as a promising cancer therapeutic. Chimeric antigen receptor-expressing macrophages (CAR-Ms) engineered to recognize tumor-specific antigens have been shown to inhibit tumor growth and activate adaptive immune responses, leading to robust tumor control in animal studies. Based on this work, clinical trials have been initiated. While the trials have shown promise, challenges remain. The dynamic interactions between CAR-Ms and cancer cells and the exact mechanisms driving anti-tumor effects remain poorly defined. Defining the dynamic interactions between CAR-Ms and cancer cells will provide critical insights for optimizing future CAR-M design and improving therapeutic efficacy. We sought to directly visualize CAR-M interactions with glioblastoma cells at high-resolution and in real-time using CAR-Ms engineered to recognize Neural-Glial Antigen 2 (NG2), an antigen expressed on glioblastoma cells. Using patient-derived glioblastoma cells, we formed glioblastoma spheroids and embedded them in a 3D matrix together with CAR-Ms. Using time-lapse microscopy, as expected, we found that NG2-targeting CAR-Ms engulfed glioblastoma cells. However, excitingly, we found that NG2-targeting CAR-Ms blocked >85% of glioblastoma cell invasion in 3D. This inhibition of glioblastoma invasion was not due to a significant change in CAR-M polarization states. Together, these data suggest that NG2-targeting CAR-Ms both engulf glioblastoma cells and block glioblastoma invasive behavior.

Chimeric antigen receptor (CAR) T-cell therapy has transformed treatment for relapsed /refractory(r/r) lymphoid malignancies. Yet, these cellular immunotherapies are often associated with immune-related adverse events (irAEs), namely cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS), that pose significant risks to patient safety and limit broader clinical implementation of CAR T-cell therapies. In the current study, we used proteomics technology to establish circulating protein signatures that would predict severe CRS and ICANS in r/r lymphoma patients that subsequently received CAR T-cell therapy. Initial discovery was performed using plasma samples collected preceding CAR T-cell infusion from 39 r/r lymphoma patients at MD Anderson Cancer Center. A 5-marker and 8-marker protein panel was developed for predicting Grade [&ge;] 2 CRS and ICANS respectively, yielding respective AUCs of 0.85 [95% CI: 0.72-0.98] and 0.91 [95% CI: 0.81-1.00]. Independent testing of the CRS and ICANS panel was performed in a cohort of 59 r/r lymphoma patients from the Moffitt Cancer Center, with resultant AUCs of 0.76 [95% CI: 0.63-0.89] and 0.67 [95% CI: 0.51-0.84] for the CRS and ICANS panel, respectively. Patients were further classified into low-, intermediate-, and high-risk groups based on panel score tertiles. In the combined dataset (MDACC + Moffitt), compared to patients in the low-risk group (reference), patients in the intermediate- and high-risk groups were 3.15 [95% CI: 0.92-12.71] and 13.84 [95% CI: 4.21-56.26] more likely to have Grade [&ge;] 2 CRS, and 1.21 [95% CI: 0.36-4.23] and 8.59 [95% CI: 2.87-29.09] more likely to have Grade [&ge;]2 ICANS. The protein biomarker panels provide a means to risk stratify patients who are at high risk for developing severe CRS and ICANS, to inform on the need for prophylactic interventions and improve patient outcomes.

Dendritic cells (DCs) are central to activating cytotoxic CD8 T cells, yet DC-based vaccines have achieved limited success against established tumors. To address this gap, we analyzed the transcriptomic and functional changes CD8 T cells undergo following interactions with DC subsets in lymphoid organs and tumor sites. This approach allowed us to map their trajectory from naive to fully cytotoxic effector cells. We found that classical DCs in lymphoid organs provide essential antigen presentation but fail to elicit cytotoxicity. Instead, antigenexperienced CD8 T cells require additional inflammatory signals, primarily through TNF, delivered at tumor sites by infiltrating myeloid DCs. Effective cytotoxic responses therefore depend on the synchronization of these distinct, temporally separated signals. Notably, tumor antigen-pulsed DC vaccines rapidly lose TNF expression after infiltrating tumors, limiting their efficacy. These findings establish a sequential model of T cell activation and suggest strategies to enhance the potency of DC-based immunotherapies.

Well-differentiated and dedifferentiated liposarcoma (WDLPS and DDLPS) exhibit markedly different clinical behaviors, with DDLPS showing greater aggressiveness, higher recurrence and metastasis rates, and worse outcomes. Using single-nucleus multiome sequencing, epigenomic profiling, and spatial transcriptomics, we characterized cellular and epigenetic heterogeneity between these subtypes at single-cell and spatial resolution. We found distinct phenotypic states reflecting altered lineage differentiation and plasticity: DDLPS is dominated by early-differentiated progenitor-like cells, sclerotic WDLPS displays broader mesenchymal lineage plasticity, and adipocytic WDLPS contains abundant committed adipocytes. The DDLPS immune microenvironment was dominated by immunosuppressive macrophages, whereas WDLPS harbored more T cells and inflammatory macrophages. Notably, sclerotic WDLPS displayed intermediate cellular and molecular features, suggesting it may represent a distinct WDLPS subtype. Importantly, we identified novel gene regulatory circuits underlying each state, including FABP4/PPARG programs in adipocytic WDLPS, GLI2/TCF7L2/RBPJ/KLF7 programs in sclerotic WDLPS, and KLF7/FOSL2/SP3/GLI2/RBPJ programs in DDLPS. H3K27ac-marked enhancers were enriched near adipocytic marker genes in WDLPS and mesenchymal markers in DDLPS. Together, these findings reveal the cellular heterogeneity of tumor and immune compartments across liposarcoma subtypes and identify regulatory programs driving their differentiation states. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=155 SRC="FIGDIR/small/713651v1_ufig1.gif" ALT="Figure 1"> View larger version (73K): org.highwire.dtl.DTLVardef@1c84ee1org.highwire.dtl.DTLVardef@1b2ad42org.highwire.dtl.DTLVardef@18ce5a6org.highwire.dtl.DTLVardef@138f615_HPS_FORMAT_FIGEXP M_FIG C_FIG

Well- and dedifferentiated liposarcomas (WDLPS and DDLPS) are characterized by extensive copy- number alterations rather than recurrent gene-inactivating mutations, obscuring the molecular mechanisms that drive disease progression and, critically, the transition from well-differentiated to the more aggressive dedifferentiated tumor states. Despite marked differences in clinical behavior and prognosis, the regulatory events underlying adipocytic lineage destabilization in DDLPS remain poorly understood. Here, we establish an in vivo model of retroperitoneal liposarcoma in Xenopus tropicalis through early embryonic mosaic perturbation of p53 and Rb pathway components. Combined disruption reproducibly induced retroperitoneal WDLPS development, demonstrating that pathway-level deregulation of the MDM2-p53 and CDK4-Rb axes is sufficient to initiate liposarcoma development in vivo. Strikingly, additional perturbation of transcriptional co-activator ep300 in this context resulted in increased tumor dedifferentiation, yielding lesions composed of spatially coexisting well- and dedifferentiated adipocytic states. In contrast, direct targeted disruption of downstream adipogenic regulators recurrently lost in human DDLPS, including cebpa, g0s2, and dgat2, failed to induce dedifferentiation in the same genetic context in vivo. These findings indicate that dedifferentiation cannot be explained by loss of downstream adipocytic effectors alone but instead reflects destabilization of higher-order regulatory programs governing adipocytic identity. Together, these results establish an in vivo model that closely reflects the clinical situation on a pathway level and provides initial mechanistic insight into how adipocytic differentiation may become destabilized during disease progression. This framework offers a foundation for future studies leveraging higher-order and multi-omic approaches to dissect the molecular processes underlying the WDLPS-to-DDLPS transition.

Alternative pathways of antigen presentation are crucial in different immunological contexts such as autoimmunity and anti-microbial defense. Among these pathways, autophagy has a central role in delivering cytosolic substrates to the MHC class II compartment. However, its contribution to endogenous MHC class II presentation was only demonstrated for a few antigens. Here we focused our study on the contribution of autophagy to the peptidome of one major allele of the HLA-DR shared epitope, HLA DRB1*04:01 conferring the greatest risk factor for the development of rheumatoid arthritis (RA). We provide an extensive qualitative and quantitative mass spectrometry analysis of the autophagy related MHC class II peptide repertoire of the human DRB1*04:01 allele. A fraction of peptides representing 30% of the repertoire differ profoundly between autophagy sufficient and deficient cells. Our analysis demonstrates that autophagy contributes to MHC class II presentation of peptides from seven described RA autoantigens, the majority of them being related to the ER folding and stress response (calreticulin, calnexin, the 78 kDa glucose-regulated protein (GRP78)-also known as binding immunoglobulin protein (BiP) and several protein from the heat-shock-protein 70 family). Our results correlate with an increased activation of autophagy, in situ, in synovial biopsies and synovial fibroblast (SF) of RA patients. We could further show that SF upregulate MHC class II and present peptides from autophagy related auto-antigens to CD4 T cells from RA patients. Our finding identifies autophagy as a potential process that could contribute to the break of peripheral tolerance during RA.

Diffuse large B-cell lymphoma (DLBCL), the most common aggressive lymphoma, encompasses histologically similar but genetically distinct cancers. Recent genetic studies have defined at least six molecular subtypes, yet none account for Epstein-Barr virus (EBV), despite 5-15% of DLBCLs being EBV-associated. By reanalyzing published whole-exome and RNA-sequencing data from 481 tumors, we identified 19 EBV-positive cases. These were significantly enriched in the BN2 subtype (6/19), while most (11/19) remained unclassified. In BN2 tumors, several subtype-defining mutations were reduced in frequency among EBV-positive cases, supporting the hypothesis that EBV oncogenes substitute for specific cellular alterations and may confound DLBCL classification algorithms. Extending our analysis to cell lines, we found that the widely used Val cell line harbors the B95-8 laboratory EBV strain; other EBV-positive lines appeared authentic but modeled only non-BN2 subtypes and expressed an atypical viral latency III program, whereas some DLBCL tumors expressed the atypical latency III program and others latency I or II. Together, these findings demonstrate that EBV-positive DLBCL, like DLBCL itself, is not a single disease, and that current in vitro models only partially capture its biological heterogeneity. Key pointsO_LIEBV-positive DLBCL is not a single disease and EBV status can impact genetic-based classifications. C_LIO_LICurrent EBV-positive DLBCL cell lines do not adequately capture tumor complexity; we determined that Val is a problematic cell line. C_LI

Despite the availability of several FDA-approved therapies, metastatic melanoma remains a significant clinical challenge, particularly for patients with brain metastases, which frequently represent the site of treatment failure and a major cause of melanoma-related mortality. Melanoma exhibits a strong propensity to metastasize to the brain, yet the molecular mechanisms driving this lethal progression remain incompletely understood, limiting the development of effective treatment options. Building on our prior discovery that focal adhesion kinase (FAK) is a key mediator of AKT1-driven brain metastasis, we sought to validate the role of FAK in melanoma progression and metastatic dissemination. Using complementary autochthonous and syngeneic mouse models of BRAF-mutant melanoma, we evaluated the impact of FAK expression on overall survival, primary tumor growth, and metastasis. Through the generation of targeted FAK mutants, we distinguished kinase-dependent from kinase-independent functions and demonstrate that FAK promotes melanoma metastasis in a kinase-dependent manner. Furthermore, we establish that FAK functions downstream of PTEN to drive metastatic progression. Collectively, these findings support the therapeutic potential of FAK inhibition, either alone or in combination with existing treatments, to more effectively combat metastatic melanoma and inform the development of emerging FAK-targeted therapies.

BackgroundNon-invasive electromagnetic field (EMF)-based therapies offer a potential route to modulate local tumor-immune interactions but their mechanistic basis remains poorly defined. MethodsWe evaluated Asha therapy, a proprietary low-intensity (50khz, 2 mT, 25% duty cycle) alternating magnetic-field treatment in preclinical breast cancer models. Cellular responses in human triple negative breast cancer cell lines (MDA-MB-231 and MDA-MB-468) were evaluated using bulk RNA sequencing, quantitative proteomics, flow cytometry, and cytokine analysis and proteomics analysis. Tumor microenvironment responses in mouse 4T1 breast cancer model was characterized using single-cell CITE-seq analysis. Functional efficacy was assessed in vivo using the murine 4T1 triple-negative breast cancer model, both as monotherapy and in combination with anti-PD1 checkpoint blockade. Clinical relevance was assessed by deriving a 19-gene neutrophil activation signature from Asha-induced transcriptional changes and projecting it onto two independent TNBC patient cohorts (METABRIC n=338, SCAN-B n=874) for survival analysis. ResultsAsha therapy induced endoplasmic reticulum (ER) stress and activated an adaptive unfolded-protein response in tumor cells, triggering robust NF-{kappa}B and interferon signaling and time-dependent secretion of inflammatory cytokines. In vivo, these tumor-intrinsic changes propagated to the tumor microenvironment (TME), reprogramming fibroblasts from contractile states to immune-recruiting, interferon-responsive phenotypes and enriching for interferon-stimulated, metabolically active neutrophils and macrophages. These coordinated innate immune changes occurred without overt cytotoxicity and were associated with significant reductions in metastasis and improved survival. Combination with anti-PD1 therapy markedly enhanced efficacy, reducing lung metastasis and mortality by 88% compared with control. The neutrophil activation signature derived from Asha-treated tumors was associated with improved overall survival in both METABRIC (log-rank p=0.036) and SCAN-B (p=0.048) TNBC cohorts by Kaplan-Meier analysis, with pooled multivariable Cox regression confirming significant survival benefit (HR=0.75, 95% CI 0.59-0.94, p=0.01). ConclusionsAsha therapy triggers a controlled ER stress response in tumor cells that drives interferon-mediated cytokine release and immune reprogramming of the TME, resulting in anti-metastatic and survival benefits. These findings identify electromagnetic-field exposure as a potential non-pharmacologic strategy to activate innate immunity and sensitize tumors to checkpoint blockade, supporting further clinical development of EMF-based immunotherapy.