IMMUNOSCORE®CR TL (T lymphocytes) accurately quantifies T cell infiltrate, in and around the tumor, in a variety of cancer types to distinguish between cold, altered, and hot tumors (Galon J. et al, 2016; Pagès et al,2009; Berghoff et al., 2016; Pagès et al., 2018).
Based on the concomitant detection of a relevant Immune Checkpoint (IC) and CD8 T cells, the test analyses density, proximity and clustering of the two cell populations to predict the response to IC modulation.
In the context of PD-1/PD-L1 blockade, IMMUNOSCORE®CR IC allows on a single slide, the precise quantification of positive CD8+ cells and whole PD-L1+ cells (cells/mm²) but also cells clustering and proximity index. It therefore provides an accurate assessment of the two cell populations (Monville F. et al., 2017).
This assay reveals exhausted T cells by combining the detection of CD3 and CD8 T lymphocytes with a panel of IC. Combined with clinical information, this powerful set of data is used to help understanding drug’s mechanism of action and resistance to IC modulators.
IMMUNOSCORE®CR TCE is based on IHC multiplex technology (Brightplex), an automated workflow that takes advantage of brightfield microscopy to accurately analyze up to 7 biomarkers simultaneously on a single slide and identify complex immune cells phenotypes. Basically, specific immune cell populations can be precisely quantified and spatially localized in specific region of interest of the tissue (tumor, invasive margin, stroma, parenchyma).
This range of tests includes panel of biomarkers for a precise identification of Suppressor Cells (SC) within the tumor microenvironment (TME).
Example panel: polymorphonuclear and monocytic Myeloid-Derived Suppressor Cells (PMN- & M-MDSC).
MDSC limit T and NK cells anti-cancer responses and promote angiogenesis and tumor invasion.
IMMUNOSCORE® CR SC reveals the impact of MDSC within the TME and their prognostic and predictive value.
Another example is the test IMMUNOSCORE® CR T Reg based on the detection of CD4 and FOXP3 and using image analysis to identify the Treg population into the tumor microenvironment.
Other indications on existing panels or additional panels can be available on demand.
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More info