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Behren, A.

Publications and source records attributed to Behren, A..

6 recordsLinked to original sources

A TAK1Cytokine Toxicity Checkpoint Controls Anti-Cancer Immunity

The success of cancer immunotherapies is currently limited to a subset of patients, which underscores the urgent need to identify the processes by which tumours evade immunity. Through screening a kinome-wide CRISPR/Cas9 sgRNA library we identified MAP3K7 (TAK1) as a suppressor of CD8+ T cell mediated killing. We demonstrate that TAK1 acts as a cancer-intrinsic checkpoint by integrating signals from T cell-secreted TNF and IFNy effector cytokines to elicit a cytoprotective response. This cytoprotective response profoundly limits the anti-cancer activity these key effector molecules and completely abrogates bystander killing by perforin deficient T cells. Inhibition of the TAK1 checkpoint effectively redirects the combined TNF/IFNy pathway activation to promote inflammatory cell death via RIPK1 and Caspase-8 and simultaneously amplifies the output of the IFNy pathway, thereby priming cells for cytokine-induced cell death. Mechanistically, TAK1 deficiency led to proteasomal degradation of cFLIP, enhancing the formation of Complex II and subversion of other cytoprotective responses. Targeting the TAK1 checkpoint led to profound attenuation of tumour growth in immune competent mice, with minimal impact in immune deficient counterparts. Adoptive cell therapy led to preferential elimination of TAK1 deficient clones. Collectively, our study uncovers a cancer-intrinsic checkpoint controlled by TAK1 activity that switches TNF and IFNy responses from cytoprotective to apoptosis. Cancer cells exploit this to limit cell death in the presence of the cytotoxic lymphoctye cytokines TNF and IFN{gamma} and therapeutic intervention can fully unleash the impact of these effector molecules both on the direct target and bystander cells. These findings highlight the clinical development of TAK1 biologics as a potential strategy to improve cancer immunotherapies through harnessing and enhancing the cytotoxic potential of CTL-derived cytokines. In BriefDjajawi et al. identify TAK1 as a cancer-intrinsic cytokine toxicity checkpoint that limits the efficacy of anti-cancer immune responses. Cancer cells exploit TAK1 activity to confers resistance to CD8+ T cell-derived TNF and IFN{gamma}-induced apoptosis, limiting both direct and bystander killing. Mechanistically, TAK1 loss acts through 1. cFLIP and RIPK1 to promote cell death, 2. The inactivation of pro-survival signals and 3. Via amplification of the IFNy response. Targeting of this TAK1 checkpoint enhanced anti-tumour immunity in vivo and improved adoptive cellular therapy. These findings identify a strategy employed by transformed cells to avoid destruction by inflammatory cytokines and provide new therapeutic vulnerabilities for enhancing immunotherapies. HighlightsO_LICRISPR screens identify TAK1 as a tumour-intrinsic survival checkpoint limiting destruction by CD8+ T cells. C_LIO_LITAK1 protects tumour cells from combined TNF and IFN{gamma}-induced apoptosis. C_LIO_LITAK1 loss destabilizes cFLIP, priming cells for STAT1 and RIPK1-dependent cell death. C_LIO_LITAK1 loss promotes tumour control in immune competent animals and enhances the efficacy of adoptive cell therapy. C_LI

cancer biology↗

The circulating immune cell landscape stratifies metastatic burden in breast cancer patients

Advanced breast cancers show varying degrees of metastasis; however, reliable biomarkers of metastatic disease progression remain unknown. In circulation, immune cells are the first line of defence against tumour cells. Herein, using >109,591 peripheral blood mononuclear cells from healthy individuals and breast cancer patients, we tested whether molecular traits of the circulating immune cells, probed with single-cell transcriptomics, can be used to segregate metastatic profiles. Our analyses revealed significant compositional and transcriptional differences in PBMCs of patients with restricted or high metastatic burden versus healthy subjects. The abundance of T cell and monocyte subtypes segregated cancer patients from healthy individuals, while memory and unconventional T cells were enriched in low metastatic burden disease. The cell communication axes were also found to be tightly associated with the extent of metastatic burden. Additionally, we identified a PBMC-derived metastatic gene signature capable of discerning metastatic condition from a healthy state. Our study provides unique molecular insights into the peripheral immune system operating in metastatic breast cancer, revealing potential new biomarkers of the extent of the metastatic state. Tracking such immune traits associated with metastatic spread could complement existing diagnostic tools.

cancer biology↗

Vgamma9Vdelta2 T cells recognize butyrophilin 2A1 and 3A1 heteromers

Butyrophilin (BTN) molecules are emerging as key regulators of T cell immunity, however, how they trigger cell-mediated responses is poorly understood. Here, the crystal structure of a gamma-delta T cell receptor ({gamma}{delta}TCR) in complex with BTN member 2A1 (BTN2A1) revealed that BTN2A1 engages the side of the {gamma}{delta}TCR, leaving the apical TCR surface bioavailable. We reveal that BTN3A1 is a second {gamma}{delta}TCR ligand, that co-engages {gamma}{delta}TCR via binding to this accessible apical surface. BTN2A1 and BTN3A1 also directly interact with each other in cis, and structural analysis revealed formation of W-shaped heteromeric multimers. This BTN2A1-BTN3A1 interaction involved the same epitopes that BTN2A1 and BTN3A1 each use to engage {gamma}{delta}TCR; indeed, either forced separation or locking together of BTN2A1 and BTN3A1 resulted in enhanced or abrogated {gamma}{delta}TCR interaction, respectively. Our findings reveal a new paradigm in immune activation, whereby {gamma}{delta}TCRs recognize dual epitopes on BTN2A1 and BTN3A1 complexes.

immunology↗

A peptide-signal amplification strategy for the detection and validation of neoepitope presentation on cancer biopsies

Targeting the right cancer-specific peptides presented by Human Leukocyte antigen (HLA) class I and II molecules on the tumor cell surface is a crucial step in cancer immunotherapy. Numerous approaches have been proposed to predict the presentation of potential neoepitopes that may be targeted through immune-based therapies. Often founded on patient specific somatic mutations, the routine validation of their actual appearance on the tumor cell surface is a significant barrier to realising personalized cancer immunotherapy. This can be attributed to the lack of robust and adaptable assays for antigen presentation that offer the required sensitivity to deal with the limited amounts of patient tumor tissue available. Rather than personalize individual assays we propose the use mass spectrometry to identify tumor neoepitopes from HLA-bound peptides directly isolated form the surface of tumor biopsies. We have developed a microscale HLA-peptide complex immunoprecipitation protocol combined with tandem mass tagging (TMT) to directly sequence HLA-bound peptides using mass spectrometry. Using this strategy, we identified HLA-bound peptides from as few as ~1000 cultured cells and from a small piece (~1 mg) of whole melanoma tumour tissue, encompassing epitopes derived from Melanoma-associated antigens and potential neoantigens.

immunology↗

The diversity of the immunogenic components of the melanoma immunopeptidome.

Antigen-recognition by CD8+ T cells is governed by the pool of peptide antigens presented on the cell surface in the context of HLA class I complexes. Recent studies have shown not only a high degree of plasticity in the immunopeptidome, but also that a considerable fraction of all presented peptides is generated through proteasome-mediated splicing of non-contiguous regions of proteins to form novel peptide antigens. Here we used high-resolution mass-spectrometry combined with new bioinformatic approaches to characterize the immunopeptidome of melanoma cells in the presence or absence of interferon-{gamma}. In total, we identified more than 60,000 peptides from a single patient derived cell line (LM-MEL-44) and demonstrated that interferon-{gamma} induced marked changes in the peptidome with an overlap of only [~]50% between basal and treated cells. Around 6-8% of the peptides were identified as cis-spliced peptides, and 2213 peptides (1827 linear, 386 cis-spliced peptides) were derived from known melanoma-associated antigens. These peptide antigens were equally distributed between the constitutive and interferon-{gamma} induced peptidome. We next examined additional HLA-matched patient derived cell lines to investigate how frequently these peptides were identified and found that a high proportion of both linear and spliced peptides were conserved between individual patient tumors, drawing on data amassing to over 100,000 peptide sequences from these extended data sets. Moreover, several of these peptides showed in vitro immunogenicity across multiple melanoma patients. These observations highlight the breadth and complexity of the repertoire of immunogenic peptides that can be exploited therapeutically and suggest that spliced peptides are a major new class of tumor antigens.

immunology↗

A natural killer cell gene signature predicts melanoma patient survival

Animal models have demonstrated that natural killer (NK) cells can limit the metastatic dissemination of tumors, however their ability to combat established human tumors has been difficult to investigate.\n\nA number of computational methods have been developed for the deconvolution of immune cell types within solid tumors. We have taken the NK cell gene signatures from several tools, then curated and expanded this list using recent reports from the literature. Using a gene set scoring method to investigate RNA-seq data from The Cancer Genome Atlas (TCGA) we show that patients with metastatic cutaneous melanoma have an improved survival rate if their tumor shows evidence of greater NK cell infiltration. Furthermore, these survival effects are enhanced in tumors which have a higher expression of NK cell stimuli such as IL-15, suggesting NK cells are part of a coordinated immune response within these patients. Using this signature we then examine transcriptomic data to identify tumor and stromal components which may influence the penetrance of NK cells into solid tumors.\n\nThese data support a role for NK cells in the regulation of human tumors and highlight potential survival effects associated with increased NK cell activity. Furthermore, our computational analysis identifies a number of potential targets which may help to unleash the anti-tumor potential of NK cells as we enter the age of immunotherapy.

cancer biology↗