Biology subjects

Brennan, K.

Publications and source records attributed to Brennan, K..

18 recordsLinked to original sources

bioRxiv2026

Advancing Nano-Flow Cytometry: High-Precision Sorting and Analysis of Extracellular Vesicles

Extracellular Vesicles (EVs) are small membrane-bound particles secreted by cells that play key roles in intercellular communication, gene regulation and modulation of cell function. They are involved in both physiological and pathological processes and, due to their ability to transport biomolecules across biological barriers, have emerged as promising tools for use as drug delivery vehicles and biomarkers with diagnostic and prognostic applications. Various methodologies are currently employed for the isolation, characterization, and analysis of EVs, including Ultracentrifugation (UC), Transmission Electron Microscopy (TEM), Nanoparticle Tracking Analysis (NTA), and Flow Cytometry. Flow Cytometry has emerged as a powerful technique capable of providing a multiparametric analysis of individual EVs. Recent advancements have led to the development of cytometers with higher sensitivity and increased limit of detection, enabling the detection and sorting of nanoscale particles--a technique known as Nano-Flow Cytometry. In this study, we show the optimization of small particle sorting, termed nanoFACS, via the CytoFLEX SRT. This method enables sorting based on size or fluorescence, enhancing reproducibility and broadening the potential for application in biological and clinical assays. Furthermore, we demonstrate the utility of nanoFACS in isolating nanoparticles from complex biofluids and in detecting miRNA using molecular beacons (MBs) highlighting its potential in both basic research and translational applications.

bioengineering↗

bioRxiv2025

Widespread low-affinity motifs enhance chromatin accessibility and regulatory potential in mESCs

Low-affinity transcription factor (TF) motifs are an important element of the cis-regulatory code, yet they are notoriously difficult to map and mechanistically incompletely understood, limiting our ability to interpret non-coding variation in development, evolution, and disease. Here we investigate their role in pioneering and leverage sequence-to-profile models of chromatin accessibility in mouse embryonic stem cells to reliably map and interpret low-affinity motifs across the genome. We find that low-affinity motifs have outsized effects by cooperating with nearby motifs through intra-nucleosomal soft syntax. By modeling nucleosome-mediated cooperativity with a kinetic model, we discover and validate that pioneer cooperativity makes a motif operate at higher pioneering ranges across changing TF concentrations, thereby raising the regulatory potential. These results show that low-affinity motifs can be accurately mapped, shape the properties of developmental enhancers and likely play a widespread role in fine-tuning enhancers during evolution.

genomics↗

bioRxiv2023

HER2 overexpression initiates breast tumorigenesis non-cell-autonomously by inducing oxidative stress in the tissue microenvironment

HER2 is considered as a driver oncogene responsible for the HER2+ subtype of breast cancer. However, it is still unclear how HER2 induces the oncogenic transformation of breast cancer stem cells (BCSCs) and initiates tumorigenesis during premalignant stage breast cancer. Here, we used clinical samples and mouse models of HER2+ breast cancer to demonstrate that neither BCSCs nor their cell-of-origin express HER2/Neu in early-stage breast tumors. Instead, our results demonstrate that Neu overexpression results in the transformation of BCSCs in a non-cell-autonomous manner via triggering DNA damage and somatic mutagenesis in their Neu-negative cell-of-origin. This is caused by the increased oxidative stress in the tissue microenvironment generated by altered energy metabolism and increased reactive oxygen species levels in Neu-overexpressing mammary ducts. Therefore, our findings illustrate a previously unrecognized mechanism of HER2-induced breast tumor initiation in vivo with potential impacts on future preventive treatments for HER2+ premalignant breast cancer.

cancer biology↗

bioRxiv2023

EpiMix: an integrative tool for epigenomic subtyping using DNA methylation

DNA methylation (DNAme) is a major epigenetic factor influencing gene expression with alterations leading to cancer, immunological, and cardiovascular diseases. Recent technological advances enable genome-wide quantification of DNAme in large human cohorts. So far, existing methods have not been evaluated to identify differential DNAme present in large and heterogeneous patient cohorts. We developed an end-to-end analytical framework named "EpiMix" for population-level analysis of DNAme and gene expression. Compared to existing methods, EpiMix showed higher sensitivity in detecting abnormal DNAme that was present in only small patient subsets. We extended the model-based analyses of EpiMix to cis-regulatory elements within protein-coding genes, distal enhancers, and genes encoding microRNAs and lncRNAs. Using cell-type specific data from two separate studies, we discovered novel epigenetic mechanisms underlying childhood food allergy and survival-associated, methylation-driven non-coding RNAs in non-small cell lung cancer.

bioinformatics↗

bioRxiv2022

Epigenetic silencing by SMYD3 represses tumor intrinsic interferon response in HPV-negative squamous cell carcinoma of the head and neck.

Cancers often display immune escape, but the mechanisms and potential for reversibility are incompletely understood. Epigenetic dysregulation has been implicated in the immune escape of various cancer types. We have identified the epigenetic modifier SET and MYND-domain containing protein 3 (SMYD3) as a mediator of immune escape in human papilloma virus (HPV)- negative head and neck squamous cell carcinoma (HNSCC), an aggressive disease with poor prognosis and low response to immunotherapy with pembrolizumab, a programmed-death-1 (PD-1) targeting antibody. SMYD3 loss increased the sensitivity of HNSCC cancer cells to IFN-{beta}, resulting in upregulation of type I IFN response and antigen presentation machinery genes. We found that SMYD3 regulates the transcription of Ubiquitin-Like PHD And RING Finger Domain- Containing Protein 1 (UHRF1), a key epigenetic reader of trimethylated lysine 9 on histone H3 (H3K9me3), which binds to H3K9me3-enriched promoters of key immune-related genes and silences their expression. SMYD3 further maintains the repression of immune-related genes through the deposition of H4K20me3 within the gene body regions of these genes. In an anti-PD-1 immune checkpoint resistant syngeneic mouse model of HPV-negative HNSCC, Smyd3 depletion induced influx of CD8+ T-cells, upregulated PD-L1 and MHC class I molecules, and increased sensitivity to anti-PD-1 therapy. SMYD3 overexpression was associated with decreased CD8 T-cell infiltration in tumor samples from patients with HPV-negative HNSCC, and was associated with poor response to pembrolizumab. Overall, these data highlight a previously unreported function of SMYD3 as a master epigenetic regulator of anti-tumor immune response in HPV-negative HNSCC and provide a rationale for translational approaches combining SMYD3 depletion strategies with checkpoint blockade to overcome anti-PD-1 resistance in this devastating disease.

cancer biology↗

bioRxiv2020

Increased microenvironment stiffness leads to altered aldehyde metabolism and DNA damage in mammary epithelial cells through a RhoA-dependent mechanism

Microenvironmental stiffness regulates the behaviour of both normal and cancer cells. In breast tissue, high mammographic density (HMD), which reflects greater organisation and stiffness of the periductal collagen, represents a significant risk factor for cancer. However, the mechanistic link between extracellular matrix (ECM) stiffness and increased risk of breast tumour initiation remains unclear. In particular, how increased ECM stiffness might promote genomic damage, leading to the acquisition of transforming mutations, remains to be determined. Here we determine that ECM stiffness induces changes in mammary epithelial cell (MEC) metabolism that drive genomic damage. Using a 3D-culture model, we demonstrate that genome-wide transcriptional changes in response to increased ECM stiffness impair the ability of MECs to remove reactive aldehyde species, resulting in greater accumulation of DNA damage in a RhoA-dependent manner. Together, our results provide a mechanistic link between increased ECM stiffness and the genomic damage required for breast cancer initiation.

developmental biology↗

bioRxiv2020

Loss of PKCα increases arterial medial calcification in a uremic mouse model of chronic kidney disease

Arterial medial calcification is an independent risk factor for mortality in chronic kidney disease. We previously reported that knock-down of PKC expression increases high phosphate-induced mineral deposition by vascular smooth muscle cells in vitro. This new study tests the hypothesis that PKC regulates uremia-induced medial calcification in vivo. Female wild-type and PKC-/- mice underwent a two-stage subtotal nephrectomy and were fed a high phosphate diet for 8 weeks. X-ray micro computed tomography demonstrated that uremia-induced medial calcification was increased in the abdominal aorta and aortic arch of PKC-/- mice compared to wild-types. Blood urea nitrogen was also increased in PKC-/- mice compared to wild-types; there was no correlation between blood urea nitrogen and calcification in PKC-/- mice. Phosphorylated SMAD2 immunostaining was detected in calcified aortic arches from uremic PKC-/- mice; the osteogenic marker Runx2 was also detected in these areas. No phosphorylated SMAD2 staining were detected in calcified arches from uremic wild-types. PKC knock-down increased TGF-{beta}1-induced SMAD2 phosphorylation in vascular smooth muscle cells in vitro, whereas the PKC activator prostratin decreased SMAD2 phosphorylation. In conclusion, loss of PKC increases uremia-induced medial calcification. The PKC/TGF-{beta} signaling axis could therefore represent a new therapeutic target for arterial medial calcification in chronic kidney disease.

cell biology↗

bioRxiv2020

Inhibition of Wnt signalling by Notch via two distinct mechanisms

Notch and Wnt are two essential signalling pathways that help to shape animals during development and to sustain adult tissue homeostasis. Although, they are often active at the same time within a tissue, they typically have opposing effects on cell fate decisions. In fact, crosstalk between the two pathways is important in generating the great diversity of cell types that we find in metazoans. However, several different mechanisms have been proposed that allow Notch to limit Wnt signalling, driving a Notch-ON/Wnt-OFF state. Here we explore these different mechanisms in vertebrate cells and demonstrate two distinct mechanisms by which Notch itself, can limit the transcriptional activity of {beta}-catenin. At the membrane, independently of DSL ligands, Notch1 can antagonise {beta}-catenin activity through an endocytosis mediated mechanism that is dependent upon its interaction with Deltex and sequesters {beta}-catenin into the membrane fraction. Within the nucleus, the intracellular domain of Notch1 can also limit {beta}-catenin induced transcription through the formation of a complex that requires its interaction with RBPj{kappa}. We believe these mechanisms contribute to the robustness of cell-fate decisions by sharpening the distinction between opposing Notch/Wnt responses.

cell biology↗

bioRxiv2020

Non-canonical glutamate signaling in a genetic model of migraine with aura

Migraine with aura is an extremely common but poorly understood sensory circuit disorder. Monogenic models allow an opportunity to understand its mechanisms, in particular because the migraine aura is associated with spreading depolarizations that can be measured physiologically. Using fluorescent glutamate imaging in awake mice carrying a familial hemiplegic migraine type 2 mutation, we recorded previously undescribed spontaneous plumes of glutamate signaling that anatomically overlapped with reduced density of GLT-1a positive astrocyte processes. These events could be mimicked in wild-type animals by inhibition of glutamate clearance, which we show to be slower during sensory processing in FHM2 carriers. Plumes depended on calcium mediated vesicular release from neurons, but not action potentials. Importantly, a rise in both basal glutamate and plume frequency predicted the onset of spreading depolarization in WT and FHM2 animals, providing a novel mechanism in migraine with aura and by extension the many other neurological disorders where spreading depolarizations occur.

neuroscience↗

bioRxiv2019

Altered synaptic adaptation and gain in sensory circuits of the casein kinase 1 delta (CK1dT44A) mouse model of migraine

Migraine is a common and disabling neurological disorder. The headache and sensory amplifications that characterize migraine are attributed to hyperexcitable sensory circuits, but a detailed understanding remains elusive. This is partly due to the paucity of genetic animal models associated with the common, less severe form of the disease. A mutation in casein kinase 1 delta (CK1{delta}) was identified in familial migraine with aura and advanced sleep phase syndrome. Spreading depolarization (SD), the phenomenon that underlies migraine aura, is facilitated in mice carrying one of the mutations (CK1{delta}T44A). However, the mechanism of this susceptibility is not known. We used a combination of whole-cell electrophysiology and imaging, in vivo and in ex vivo brain slices, to understand the cellular and synaptic underpinnings of this apparent circuit excitability. We found that despite normal synaptic activity and hyperpolarized neuronal membrane potentials at rest, CK1{delta}T44A neurons were more excitable upon repetitive stimulation compared to wild-type (WT) controls. This was due to reduced presynaptic adaptation to high-frequency stimuli at excitatory, but not inhibitory synapses. Reduced adaptation at glutamatergic CK1{delta}T44A synapses was mediated by a calcium-dependent enhancement of the size of the readily releasable pool of synaptic vesicles. This caused an increase in the cumulative amplitude of excitatory currents, and a higher excitation-to-inhibition ratio during sustained activity, both in vivo and in brain slices. Fluorescence imaging revealed increased glutamate release in CK1{delta}T44A compared to WT brain slices, corroborating the presynaptic gain of function observed with electrophysiology. Action potential bursts elicited in individual CK1{delta}T44A neurons enhanced glutamatergic feedback excitation within local microcircuits, further amplifying firing frequencies. At a network level in vivo, CK1{delta}T44A mice showed increased duration of up state activity, which is dependent on recurrent excitation. Finally, we demonstrated that SD susceptibility of CK1{delta}T44A brain slices could be returned to WT levels with the same reductions in extracellular calcium that normalized presynaptic adaptation. Taken together, these findings show a stimulus-dependent presynaptic gain of function at glutamatergic synapses in a genetic model of migraine, that accounts for the increased SD susceptibility and may also explain the sensory amplifications that are associated with the disease.

neuroscience↗

bioRxiv2019

TGFβ drives mitochondrial dysfunction in peripheral blood NK cells during metastatic breast cancer

Natural Killer (NK) cells provide important protection from cancer and are a key requirement for particular immunotherapies. In activated NK cells, a metabolic response towards increased glycolysis and oxidative phosphorylation is crucial for NK cell effector functions. However, there is accumulating evidence that NK cells become dysfunctional during chronic inflammatory diseases, such as human breast cancer. This dysfunction is apparent in peripheral blood NK cells and can impact on normal NK cell immune responses and their effective targeting during immunotherapy. Herein, we demonstrate that prolonged cytokine stimulation combined with metabolic restriction, through inhibition of mTORC1, is sufficient to induce persistent dysfunction in human NK cells. TGF{beta}, also restricted NK cell metabolism and promoted persistent NK cell dysfunction. NK cells from patients with metastatic breast cancer had profound metabolic defects in glycolysis and mitochondrial function, and clear structural differences in NK cell mitochondrial morphology. Importantly, blocking elevated TGF{beta} improved readouts of metabolism and restored IFN{gamma} production in patient NK cells.

immunology↗

bioRxiv2019

Dysregulated wild-type cell division at the interface between host and oncogenic epithelium

Epithelial tissues are highly sensitive to anisotropies in mechanical force, with cells altering fundamental behaviours such as cell adhesion, migration and cell division [1-5]. It is well known that in the later stages of carcinoma (epithelial cancer), the presence of tumours alters the mechanical properties of a host tissue and that these changes contribute to disease progression [6-9]. However, in the earliest stages of carcinoma, when a clonal cluster of oncogene-expressing cells first establishes in the epithelium, the extent to which mechanical changes alter cell behaviour in the tissue as a whole remains unclear. This is despite knowledge that many common oncogenes, such as oncogenic Ras, alter cell stiffness and contractility [10-13]. Here, we investigate how mechanical changes at the cellular level of an oncogenic cluster can translate into the generation of anisotropic strain across an epithelium, altering cell behaviour in neighbouring host tissue. We generated clusters of oncogene-expressing cells within otherwise normal in vivo epithelium, using Xenopus laevis embryos. We find that cells in kRasV12, but not cMYC, clusters have increased contractility, which introduces radial stress in the tissue and deforms surrounding host cells. The strain imposed by kRasV12 clusters leads to increased cell division and altered division orientation in the neighbouring host tissue, effects that can be rescued by reducing actomyosin contractility specifically in the kRasV12 cells. Our findings indicate that some oncogenes can alter the mechanical and proliferative properties of host tissue from the very earliest stages of cancer development, changes which have the potential to contribute to tumorigenesis.

cell biology↗

bioRxiv2019

BioID based proteomic screen identifies VDAC2 as a coordinator of Bid dependent apoptotic priming during mitosis.

Apoptotic priming controls the commitment of cells to apoptosis by determining how close they lie to mitochondrial permeabilisation. Variations in priming are important for how both healthy and cancer cells respond to chemotherapeutic agents, but how this is dynamically coordinated by Bcl-2 proteins remains unclear. The Bcl-2 family protein Bid is phosphorylated when cells enter mitosis, increasing apoptotic priming and sensitivity to anti-mitotic drugs. Here we report an unbiased proximity biotinylation (BioID) screen to identify regulators of apoptotic priming in mitosis, using Bid as bait. The screen primarily identified proteins outside of the canonical Bid interactome. Specifically, we found that voltage-dependent anion-selective channel protein 2 (VDAC2) was required for Bid phosphorylation dependent changes in apoptotic priming during mitosis. Thus, we identify an additional layer of regulation upstream of known Bid interactions that control dynamic changes in apoptotic priming. These results highlight the importance of understanding the wider Bcl-2 family interactome and its role in regulating the temporal control of apoptotic priming.

cell biology↗

bioRxiv2018

Proteogenomic view of cancer epigenetics: the impact of DNA methylation on the cancer proteome

Aberrant DNA methylation disrupts normal gene expression in cancer and broadly contributes to oncogenesis. We previously developed MethylMix, a model-based algorithmic approach to identify epigenetically regulated driver genes. MethylMix identifies genes where methylation likely executes a functional role by using transcriptomic data to select only methylation events that can be linked to changes in gene expression. However, given that proteins more closely link genotype to phenotype recent high-throughput proteomic data provides an opportunity to more accurately identify functionally relevant abnormal methylation events. Here we present ProteoMix, which refines nominations for epigenetic driver genes by leveraging quantitative high-throughput proteomic data to select only genes where DNA methylation is predictive of protein abundance. Applying our algorithm across three cancer cohorts we find that ProteoMix narrows candidate nominations, where the effect of DNA methylation is often buffered at the protein level. Next, we find that ProteoMix genes are enriched for biological processes involved in cancer including functions involved in epithelial and mesenchymal transition. ProteoMix results are also enriched for tumor markers which are predictive of clinical features like tumor stage and we find clustering on ProteoMix genes captures cancer subtypes.

bioinformatics↗

bioRxiv2018

An immortalised mesenchymal stem cell line maintains mechano-responsive behaviour and can be used as a reporter of substrate stiffness

The mechanical environment can influence cell behaviour, including changes to transcriptional and proteomic regulation, morphology and, in the case of stem cells, commitment to lineage. However, current tools for characterizing substrates mechanical properties, such as atomic force microscopy (AFM), often do not fully recapitulate the length and time scales over which cells feel substrates. Here, we show that an immortalised, clonal line of human mesenchymal stem cells (MSCs) maintained responsiveness to substrate mechanics observed in primary cells, and could be used as a reporter of stiffness. MSCs were cultured on soft and stiff polyacrylamide hydrogels. In both primary and immortalised MSCs, stiffer substrates promoted increased cell spreading, expression of lamin-A/C and translocation of mechano-sensitive proteins YAP1 and MKL1 to the nucleus. Stiffness was also found to regulate transcriptional markers of lineage. A GFP-YAP / RFP-H2B reporter construct was designed and virally delivered to the immortalised MSCs for in situ detection of substrate stiffness. MSCs with stable expression of the reporter showed GFP-YAP to be increasingly co-localized with nuclear RFP-H2B on stiffer substrates, enabling development of a cellular reporter of substrate stiffness. This will facilitate mechanical characterisation of new materials developed for applications in tissue engineering and regenerative medicine.

bioengineering↗

bioRxiv2018

Benchmark of lncRNA Quantification for RNA-Seq of Cancer Samples

Long non-coding RNAs (lncRNAs) emerge as important regulators of various biological processes. Many lncRNAs with tumor-suppressor or oncogenic functions in cancer have been discovered. While many studies have exploited public resources such as RNA-Seq data in The Cancer Genome Atlas (TCGA) to study lncRNAs in cancer, it is crucial to choose the optimal method for accurate expression quantification of lncRNAs. In this benchmarking study, we compared the performance of pseudoalignment methods Kallisto and Salmon, and alignment-based methods HTSeq, featureCounts, and RSEM, in lncRNA quantification, by applying them to a simulated RNA-Seq dataset and a pan-cancer RNA-Seq dataset from TCGA. We observed that full transcriptome annotation, including both protein coding and noncoding RNAs, greatly improves the specificity of lncRNA expression quantification. Pseudoalignment-based methods detect more lncRNAs than alignment-based methods and correlate highly with simulated ground truth. On the contrary, alignment-based methods tend to underestimate lncRNA expression or even fail to capture lncRNA signal in the ground truth. These underestimated genes include cancer-relevant lncRNAs such as TERC and ZEB2-AS1. Overall, 10-16% of lncRNAs can be detected in the samples, with antisense and lincRNAs the two most abundant categories. A higher proportion of antisense RNAs are detected than lincRNAs. Moreover, among the expressed lncRNAs, more antisense RNAs are discordant from ground truth than lincRNAs when measured by alignment-based methods, indicating that antisense RNAs are more susceptible to mis-quantification. In addition, the lncRNAs with fewer transcripts, less than three exons, and lower sequence uniqueness tend to be more discordant. In summary, pseudoalignment methods Kallisto or Salmon in combination with the full transcriptome annotation is our recommended strategy for RNA-Seq analysis for lncRNAs.\n\nAUTHOR SUMMARYLong non-coding RNAs (lncRNAs) emerge as important regulators of various biological processes. Our benchmarking work on both simulated RNA-Seq dataset and pan-cancer dataset provides timely and useful recommendations for wide research community who are studying lncRNAs, especially for those who are exploring public resources such as TCGA RNA-Seq data. We demonstrate that using full transcriptome annotation in RNA-Seq analysis is strongly recommended as it greatly improves the specificity of lncRNA quantification. Whats more, pseudoalignment methods Kallisto and Salmon outperform alignment-based methods in lncRNA quantification. It is worth noting that the default workflow for TCGA RNA-Seq data stored in Genomic Data Commons (GDC) data portal uses HTSeq, an alignment-based method. Thus, reanalyzing the data might be considered when checking gene expression in TCGA datasets. In summary, pseudoalignment methods Kallisto or Salmon in combination with full transcriptome annotation is our recommended strategy for RNA-Seq analysis for lncRNAs.

bioinformatics↗

bioRxiv2017

Module analysis captures pancancer (epi)genetically deregulated cancer driver genes for smoking and antiviral response

The availability of increasing volumes of multi-omics profiles across many cancers promises to improve our understanding of the regulatory mechanisms underlying cancer. The main challenge is to integrate these multiple levels of omics profiles and especially to analyze them across many cancers. Here we present AMARETTO, an algorithm that addresses both challenges in three steps. First, AMARETTO identifies potential cancer driver genes through integration of copy number, DNA methylation and gene expression data. Then AMARETTO connects these driver genes with co-expressed target genes that they control, defined as regulatory modules. Thirdly, we connect AMARETTO modules identified from different cancer sites into a pancancer network to identify cancer driver genes. Here we applied AMARETTO in a pancancer study comprising eleven cancer sites and confirmed that AMARETTO captures hallmarks of cancer. We also demonstrated that AMARETTO enables the identification of novel pancancer driver genes. In particular, our analysis led to the identification of pancancer driver genes of smoking-induced cancers and antiviral interferon-modulated innate immune response.\n\nSoftware availabilityAMARETTO is available as an R package at https://bitbucket.org/gevaertlab/pancanceramaretto\n\nHighlightsO_LIWe present an algorithm for pancancer identification of cancer driver genes based on multiomics data fusion\nC_LIO_LIGPX2 is a novel driver gene in smoking induced cancers and validated using knockdown of GPX2 in the A549 cell line.\nC_LIO_LIOAS2 is a novel driver gene defining cancers with an antiviral signature supported by increased infiltration of tumor-associated macrophages.\nC_LI\n\nResearch in contextWe present an algorithm that combines multiple sources of molecular data to identify novel genes that are involved in cancer development. We applied this algorithm on multiple cancers in a combined fashion and identified a network of pancancer driver genes. We highlighted two genes in detail GPX2 and OAS2. We showed that GPX2 is an important cancer gene in smoking induced cancers, and validated our predictions using experimental data where GPX2 was inactivated in a lung cancer cell line. Similarly we showed that OAS2 is an important cancer driver gene in cancers that show an antiviral signature.

bioinformatics↗

bioRxiv2017

NSD1 inactivation defines an immune cold, DNA hypomethylated subtype in squamous cell carcinoma

Chromatin modifying enzymes are frequently mutated in cancer, resulting in a cascade of epigenetic deregulation. Recent reports indicate that inactivating mutations in the histone methyltransferase NSD1 define an intrinsic subtype of head and neck squamous cell carcinoma (HNSC) that features widespread DNA hypomethylation. Here, we describe a similar DNA hypomethylated subtype of lung squamous cell carcinoma (LUSC) that is enriched for both inactivating mutations and deletions in NSD1. The NSD1 subtype of HNSC and LUSC are highly correlated at the DNA methylation and gene expression levels, with concordant DNA hypomethylation and overexpression of a strongly overlapping set of genes, a subset of which are also hypomethylated in Sotos syndrome, a congenital growth disorder caused by germline NSD1 mutations. Further, the NSD1 subtype of HNSC displays an immune cold phenotype characterized by low infiltration of tumor-associated leukocytes, particularly macrophages and CD8+ T cells, as well as low expression of genes encoding the immunotherapy target PD-1 immune checkpoint receptor and its ligands PD-L1 and PD-L2. Using an in vivo model, we demonstrate that NSD1 inactivation results in a reduction in the degree of T cell infiltration into the tumor microenvironment, implicating NSD1 as a tumor cell-intrinsic driver of an immune cold phenotype. These data have important implications for immunotherapy and reveal a general role of NSD1 in maintaining epigenetic repression.

cancer biology↗