Submission ID 90415
| Poster Code | HR-P-1 |
|---|---|
| Title of Abstract | Phenocycler Imaging of the Murine Tumour Microenvironment |
| Abstract Submission | Phenocycler-Fusion is an ultrahigh-plex imaging platform that is used for immunofluorescence visualization of tissues stained with oligonucleotide-conjugated antibodies, enabling simultaneous detection of up to 103 proteins in a single tissue. This new technology is more flexible and accessible than other high-plex imaging platforms and thus, has been used to generate exciting data profiling tissue architecture in normal and disease states. In particular, Phenocycler-Fusion can be used to characterize the tumour microenvironment (TME), which consists of the normal non-transformed cells that surround and support malignant tumour cells. The TME varies between tumour type and between patient sample, and its composition can be prognostic to disease outcome and clinical response to various therapeutic agents. To this end, it is of critical importance to understand how the TME evolves around the tumour and how it mediates therapeutic responses. Towards this goal, our lab has developed Phenocycler antibody panels that are capable of imaging tissue from human and murine cancers in order to spatially immunophenotype the TME. We show that Phenocycler-Fusion can be used to characterize the tumour cells, immune cells, endothelial cells, and fibroblasts in lymphoma, breast cancer, and melanoma murine cancer models. Our results allow us to answer complex questions in the fields of oncology and immunology and allow us to better understand how pre-clinical mouse models recapitulate human disease. |
| Please indicate who nominated you | McGill University Faculty of Medicine and Health Sciences (Department of Experimental Medicine) |
| What Canadian Institutes of Health Research (CIHR) institute is your research most closely aligned? | Cancer Research Infection and Immunity |
| What Canadian Institutes of Health Research (CIHR) pillar of health research does your research fall under? | Biomedical |
| PDF of abstract | 9-JAN-2023 ICAM Abstract.pdf 2023-01-11 at 10:02:14 |
| Presenter and Author(s) | Madelyn Abraham Madelyn Abraham Christophe Goncalves Hsiang Chou Natascha Gagnon Wilson Miller Koren Mann Sonia del Rincon |
