Sir Peter MacCallum Department of Oncology - Research Publications

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    A2AR eGFP reporter mouse enables elucidation of A2AR expression dynamics during anti-tumor immune responses
    Todd, KL ; Lai, J ; Sek, K ; Huang, Y-K ; Newman, DM ; Derrick, EB ; Koay, H-F ; Nguyen, D ; Hoang, TX ; Petley, EV ; Chan, CW ; Munoz, I ; House, IG ; Lee, JN ; Kim, JS ; Li, J ; Tong, J ; N. de Menezes, M ; Scheffler, CM ; Yap, KM ; Chen, AXY ; Dunbar, PA ; Haugen, B ; Parish, IA ; Johnstone, RW ; Darcy, PK ; Beavis, PA (Nature Portfolio, 2023-11-01)
    There is significant clinical interest in targeting adenosine-mediated immunosuppression, with several small molecule inhibitors having been developed for targeting the A2AR receptor. Understanding of the mechanism by which A2AR is regulated has been hindered by difficulty in identifying the cell types that express A2AR due to a lack of robust antibodies for these receptors. To overcome this limitation, here an A2AR eGFP reporter mouse is developed, enabling the expression of A2AR during ongoing anti-tumor immune responses to be assessed. This reveals that A2AR is highly expressed on all tumor-infiltrating lymphocyte subsets including Natural Killer (NK) cells, NKT cells, γδ T cells, conventional CD4+ and CD8+ T lymphocytes and on a MHCIIhiCD86hi subset of type 2 conventional dendritic cells. In response to PD-L1 blockade, the emergence of PD-1+A2AR- cells correlates with successful therapeutic responses, whilst IL-18 is identified as a cytokine that potently upregulates A2AR and synergizes with A2AR deficiency to improve anti-tumor immunity. These studies provide insight into the biology of A2AR in the context of anti-tumor immunity and reveals potential combination immunotherapy approaches.
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    CRISPR-Cas9 screening identifies an IRF1-SOCS1-mediated negative feedback loop that limits CXCL9 expression and antitumor immunity
    House, IG ; Derrick, EB ; Sek, K ; Chen, AXY ; Li, J ; Lai, J ; Todd, KL ; Munoz, I ; Michie, J ; Chan, CW ; Huang, Y-K ; Chan, JD ; Petley, E ; Tong, J ; Nguyen, D ; Engel, S ; Savas, P ; Hogg, SJ ; Vervoort, SJ ; Kearney, CJ ; Burr, ML ; Lam, EYN ; Gilan, O ; Bedoui, S ; Johnstone, RW ; Dawson, MA ; Loi, S ; Darcy, PK ; Beavis, PA (CELL PRESS, 2023-08-29)
    CXCL9 expression is a strong predictor of response to immune checkpoint blockade therapy. Accordingly, we sought to develop therapeutic strategies to enhance the expression of CXCL9 and augment antitumor immunity. To perform whole-genome CRISPR-Cas9 screening for regulators of CXCL9 expression, a CXCL9-GFP reporter line is generated using a CRISPR knockin strategy. This approach finds that IRF1 limits CXCL9 expression in both tumor cells and primary myeloid cells through induction of SOCS1, which subsequently limits STAT1 signaling. Thus, we identify a subset of STAT1-dependent genes that do not require IRF1 for their transcription, including CXCL9. Targeting of either IRF1 or SOCS1 potently enhances CXCL9 expression by intratumoral macrophages, which is further enhanced in the context of immune checkpoint blockade therapy. We hence show a non-canonical role for IRF1 in limiting the expression of a subset of STAT1-dependent genes through induction of SOCS1.
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    Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments
    Feng, Y ; Yang, T ; Zhu, J ; Li, M ; Doyle, M ; Ozcoban, V ; Bass, GTT ; Pizzolla, A ; Cain, L ; Weng, S ; Pasam, A ; Kocovski, N ; Huang, Y-K ; Keam, SPP ; Speed, TPP ; Neeson, PJ ; Pearson, RBB ; Sandhu, S ; Goode, DLL ; Trigos, ASS (NATURE PORTFOLIO, 2023-05-15)
    Spatial proteomics technologies have revealed an underappreciated link between the location of cells in tissue microenvironments and the underlying biology and clinical features, but there is significant lag in the development of downstream analysis methods and benchmarking tools. Here we present SPIAT (spatial image analysis of tissues), a spatial-platform agnostic toolkit with a suite of spatial analysis algorithms, and spaSim (spatial simulator), a simulator of tissue spatial data. SPIAT includes multiple colocalization, neighborhood and spatial heterogeneity metrics to characterize the spatial patterns of cells. Ten spatial metrics of SPIAT are benchmarked using simulated data generated with spaSim. We show how SPIAT can uncover cancer immune subtypes correlated with prognosis in cancer and characterize cell dysfunction in diabetes. Our results suggest SPIAT and spaSim as useful tools for quantifying spatial patterns, identifying and validating correlates of clinical outcomes and supporting method development.
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    The Role of Innate Immune Cells in Tumor Invasion and Metastasis
    Huang, Y-K ; Busuttil, RA ; Boussioutas, A (MDPI, 2021-12)
    Metastasis is considered one of the hallmarks of cancer and enhanced tumor invasion and metastasis is significantly associated with cancer mortality. Metastasis occurs via a series of integrated processes involving tumor cells and the tumor microenvironment. The innate immune components of the microenvironment have been shown to engage with tumor cells and not only regulate their proliferation and survival, but also modulate the surrounding environment to enable cancer progression. In the era of immune therapies, it is critical to understand how different innate immune cell populations are involved in this process. This review summarizes recent literature describing the roles of innate immune cells during the tumor metastatic cascade.
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    Evaluation of the association of heterozygous germline variants in NTHL1 with breast cancer predisposition: an international multi-center study of 47,180 subjects
    Li, N ; Zethoven, M ; McInerny, S ; Devereux, L ; Huang, Y-K ; Thio, N ; Cheasley, D ; Gutierrez-Enriquez, S ; Moles-Fernandez, A ; Diez, O ; Nguyen-Dumont, T ; Southey, MC ; Hopper, JL ; Simard, J ; Dumont, M ; Soucy, P ; Meindl, A ; Schmutzler, R ; Schmidt, MK ; Adank, MA ; Andrulis, IL ; Hahnen, E ; Engel, C ; Lesueur, F ; Girard, E ; Neuhausen, SL ; Ziv, E ; Allen, J ; Easton, DF ; Scott, RJ ; Gorringe, KL ; James, PA ; Campbell, IG (NATURE RESEARCH, 2021-05-12)
    Bi-allelic loss-of-function (LoF) variants in the base excision repair (BER) gene NTHL1 cause a high-risk hereditary multi-tumor syndrome that includes breast cancer, but the contribution of heterozygous variants to hereditary breast cancer is unknown. An analysis of 4985 women with breast cancer, enriched for familial features, and 4786 cancer-free women revealed significant enrichment for NTHL1 LoF variants. Immunohistochemistry confirmed reduced NTHL1 expression in tumors from heterozygous carriers but the NTHL1 bi-allelic loss characteristic mutational signature (SBS 30) was not present. The analysis was extended to 27,421 breast cancer cases and 19,759 controls from 10 international studies revealing 138 cases and 93 controls with a heterozygous LoF variant (OR 1.06, 95% CI: 0.82-1.39) and 316 cases and 179 controls with a missense variant (OR 1.31, 95% CI: 1.09-1.57). Missense variants selected for deleterious features by a number of in silico bioinformatic prediction tools or located within the endonuclease III functional domain showed a stronger association with breast cancer. Somatic sequencing of breast cancers from carriers indicated that the risk associated with NTHL1 appears to operate through haploinsufficiency, consistent with other described low-penetrance breast cancer genes. Data from this very large international multicenter study suggests that heterozygous pathogenic germline coding variants in NTHL1 may be associated with low- to moderate- increased risk of breast cancer.
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    SFRP4 drives invasion in gastric cancer and is an early predictor of recurrence
    Busuttil, RA ; George, J ; House, CM ; Lade, S ; Mitchell, C ; Di Costanzo, NS ; Pattison, S ; Huang, Y-K ; Tan, P ; Cheong, J-H ; Rha, SY ; Boussioutas, A (SPRINGER, 2021-05)
    OBJECTIVE: Gastric cancer patients generally have a poor outcome, particularly those with advanced-stage disease which is defined by the increased invasion of cancer locally and is associated with higher metastatic potential. This study aimed to identify genes that were functional in the most fundamental hallmark of cancer, namely invasion. We then wanted to assess their value as biomarkers of gastric cancer progression and recurrence. DESIGN: Data from a cohort of patients profiled on cDNA expression arrays was interrogated using K-means analysis. This genomic approach classified the data based on patterns of gene expression allowing the identification of the genes most correlated with the invasion of GC. We evaluated the functional role of a key protein from this analysis in invasion and as a biomarker of recurrence after curative resection. RESULTS: Expression of secreted frizzled-related protein 4 (SFRP4) was identified as directly proportional to gastric cancer invasion. This finding was validated in multiple, independent datasets and its functional role in invasion was also confirmed using invasion assays. A change in serum levels of SFRP4 after curative resection, when coupled with AJCC stage, can accurately predict the risk of disease recurrence after curative therapy in an assay we termed PredictR. CONCLUSIONS: This simple ELISA-based assay can help predict recurrence of disease after curative gastric cancer surgery irrespective of adjuvant therapy. The results require further evaluation in a prospective trial but would help in the rational prescription of cancer therapies and surveillance to prevent under or over treatment of patients after curative resection.
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    A TOOLKIT FOR THE QUANTITATIVE ANALYSIS OF THE SPATIAL DISTRIBUTION OF CELLS OF THE TUMOR IMMUNE MICROENVIRONMENT
    Trigos, A ; Yang, T ; Feng, Y ; Ozcoban, V ; Doyle, M ; Pasam, A ; Kocovski, N ; Pizzolla, A ; Huang, Y-K ; Bass, G ; Keam, S ; Speed, T ; Neeson, P ; Sandhu, S ; Goode, D (BMJ PUBLISHING GROUP, 2020-11)
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    Macrophage spatial heterogeneity in gastric cancer defined by multiplex immunohistochemistry
    Huang, Y-K ; Wang, M ; Sun, Y ; Di Costanzo, N ; Mitchell, C ; Achuthan, A ; Hamilton, JA ; Busuttil, RA ; Boussioutas, A (NATURE PORTFOLIO, 2019-09-02)
    Tumor-associated macrophages (TAMs), one of the most abundant immune components in gastric cancer (GC), are difficult to characterize due to their heterogeneity. Multiple approaches have been used to elucidate the issue, however, due to the tissue-destructive nature of most of these methods, the spatial distribution of TAMs in situ remains unclear. Here we probe the relationship between tumor context and TAM heterogeneity by multiplex immunohistochemistry of 56 human GC cases. Using distinct expression marker profiles on TAMs, we report seven predominant populations distributed between tumor and non-tumor tissue. TAM population-associated gene signatures reflect their heterogeneity and polarization in situ. Increased density of CD163+ (CD206-) TAMs with concurrent high CD68 expression is associated with upregulated immune-signaling and improved patient survival by univariate, but not multivariate analysis. CD68-only and CD206+ TAMs are correlated with high PDL1 expression.
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    High-dimensional analyses reveal a distinct role of T-cell subsets in the immune microenvironment of gastric cancer
    Wang, M ; Huang, Y-K ; Kong, JCH ; Sun, Y ; Tantalo, DG ; Yeang, HXA ; Ying, L ; Yan, F ; Xu, D ; Halse, H ; Di Costanzo, N ; Gordon, IR ; Mitchell, C ; Mackay, LK ; Busuttil, RA ; Neeson, PJ ; Boussioutas, A (WILEY, 2020-05)
    OBJECTIVES: To facilitate disease prognosis and improve precise immunotherapy of gastric cancer (GC) patients, a comprehensive study integrating immune cellular and molecular analyses on tumor tissues and peripheral blood was performed. METHODS: The association of GC patients' outcomes and the immune context of their tumors was explored using multiplex immunohistochemistry (mIHC) and transcriptome profiling. Potential immune dysfunction mechanism/s in the tumors on the systemic level was further examined using mass cytometry (CyTOF) in complementary peripheral blood from selected patients. GC cohorts with mIHC and gene expression profiling data were also used as validation cohorts. RESULTS: Increased CD4+FOXP3+ T-cell density in the GC tumor correlated with prolonged survival. Interestingly, CD4+FOXP3+ T cells had a close interaction with CD8+ T cells rather than tumor cells. High densities of CD4+FOXP3+ T cells and CD8+ T cells (High-High) independently predicted prolonged patient survival. Furthermore, the interferon-gamma (IFN-γ) gene signature and PDL1 expression were up-regulated in this group. Importantly, a subgroup of genomically stable (GS) tumors and tumors with chromosomal instability (CIN) within this High-High group also had excellent survival. The High-High GS/CIN tumors were coupled with increased frequencies of Tbet+CD4+ T cells and central memory CD4+ T cells in the peripheral blood. CONCLUSION: These novel findings identify the combination of CD8+ T cells and FOXP3+CD4+ T cells as a significant prognostic marker for GC patients, which also could potentially be targeted and applied in the combination therapy with immune checkpoint blockades in precision medicine.