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The theme for the APAC User Group 2022 event is a Spatial Biology Approach for the Frontier of Multiplex Imaging and Spatial Phenotyping. Pioneer researchers from Asia Pacific region will share their views regarding the frontiers of spatial biology.
Spatial Phenotyping is built upon whole-side imaging at single-cell resolution to visualize and quantitate biomarker expression and reveal how cells interact and organize across an entire tissue landscape. We will discuss deep spatial phenotyping with 103 protein markers in Immunology and cancer research, translational research and discover the novel insights generated by multiomics workflow enabled by PhenoCycler-Fusion.
Immunotherapies have led to durable benefit in a number of solid malignancies including lung, head and neck and skin cancers. Identifying patients likely to achieve benefit remains an unmet clinical need. The tumour microenvironment (TME) is now recognized as a driving factor dictating response to immunotherapies. Here, we present comprehensive, cell-by-cell, tumour contexture profiling to delineate tissue signatures associated with response to therapy.
The new PhenoImager Fusion system brings the latest advances in multiplex imaging enabling whole-slide, multispectral imaging (MSI) at single-cell resolution at unprecedented speed (6 biomarkers per slide in under 20 minutes). Together with our high-throughput PhenoImager HT, these instruments are the fastest quantitative digital pathology imaging platforms enabling rapid and accurate spatial phenotyping at scale. You’ll also get a sneak peek at new spatial signature panels powered by a novel, universal chemistry that allows you to move seamlessly from high-plex spatial phenotyping assays for discovery on the PhenoCycler-Fusion to validate the resulting biomarkers on the Fusion, as a standalone system, at a capacity of 100+ samples per week.
9:30 AM Singapore/China | 10:30 AM Japan/Korea | 12:30 PM Melbourne, Australia
During the initial formation and malignant transformation of cancers, cancer cells and their residing microenvironments play mutually-influencing complex roles. Here we conducted the spatial transcriptome sequencing (ST-seq) analysis, in combination with the barcode-mediated multiple immunohistochemistry (CODEX, now called Phenocycler) analysis. For the analysis of advanced cancers, we employed a total of eleven lung adenocarcinoma specimens, which were harvested from eight Japanese patients. We found that interactions with fibroblast cells and the immune cells play particularly pivotal roles to shape the invasion patterns of cancer cells in the backgrounds of varying genomic-mutation and pathological subtypes. We have also started to characterize when this interplay is firstly initiated. For this purpose, we are analyzing very early cancers, some of which are categorized as earlier than Stage 0 according to the WHO classification. There, key events of the cancer development is also being revealed by the data integration of ST-seq and CODEX.
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