Abstract 715: Expression of tumor cell-associated immune checkpoint molecules in multiple human solid tumors

Abstract

Abstract Cancer immunotherapy using monoclonal antibodies targeting inhibitory immune checkpoint molecules is being established as a new paradigm in cancer treatment. This crucial strategy involves inhibition of the interaction between immune checkpoint receptors, expressed on the immune cells, and their respective ligands, expressed on antigen-presenting cells. While this receptor-ligand concept is well accepted in infection immunology, there have been numerous reports on the expression of immune checkpoint molecules in tumor cells. In addition to well-characterized tumor-intrinsic expression of PD11 and PD-L12, many other checkpoint molecules are associated with tumor cells3, conferring important impact on tumor biology and clinical consequences. In this study, we evaluated in situ single-cell expression profiles of immune checkpoint molecules in the tumor microenvironment (TME) of archived FFPE tissues from multiple solid cancers, including breast, kidney, ovarian, stomach, colorectal, and non-small cell lung cancer. Applying the RNAscope® assay, a highly specific and sensitive in situ hybridization (ISH) technology, tissue microarrays consisting of 20-35 FFPE tumors per each cancer type were stained for key therapeutic targets including PD1, PD-L1, TIM3, and LAG3. We observed that, in addition to PD-L1, all evaluated immune checkpoint molecules were expressed in the tumor cells of multiple tumor types though at a lower level than in immune cells. While there was notable heterogeneity of expression in different tumor regions in some samples, the single-cell expression pattern of each checkpoint molecule across all tumor cells in each region suggested a potential tumor-intrinsic mechanism for the expression of these molecules. In selected lung and ovarian cancers, fluorescence multiplex ISH-IHC staining confirmed that multiple different checkpoint molecules were co-expressed together in individual tumor cells. These findings add to the growing evidence that immune checkpoint genes can be expressed in tumor cells in addition to immune cells, which will be missed by gene expression analysis techniques using bulk tissue. The RNAscope® ISH platform is especially well suited for this type of analysis since it allows for assessing cell type-specific expression of any gene within the native tissue architecture even when it is expressed at very low levels. The approach illustrated in this study may help to better understand the anti-tumor activities of immune checkpoint inhibitors and provide new insights into better predictive biomarkers and therapeutic strategies.