Abstract

Abstract An increasing number of therapy regimens using a combination of different immune checkpoint inhibitors (ICIs) have shown remarkable results in several different tumor entities. However, the likelihood of a positive response rate to combined ICIs is poor in most tumor entities and depends on several parameters including the tumor microenvironment. Particularly little is known about the spatial orchestration and spatial interplay between different immune checkpoint expressing cells. Given that the T-cell immunoglobulin and mucin domain-containing protein 3 (TIM3) is expressed on both immune cells as well as tumor cells and that several phase I/II studies are currently evaluating anti-TIM3 drugs, the interplay between these immune checkpoints in human cancers is of topical interest. To study the spatial orchestration and interplay between TIM3, CTLA-4, PD-1, and PD-L1 expression on T-cell subsets, macrophage subsets, CD11c+ dendritic cells, CD20+B-cells in relation to panCK+ malignant cells, CD31+ vessels and other structural tumor compartments, a multiplex fluorescence immunohistochemistry approach was used to stain 18 different antibodies on a set of tissue microarrays containing samples from more than 3000 carcinoma samples. In addition, a deep learning-based framework for cell type identification was developed and validated in this study. TIM3, PD-1, PD-L1, and CTLA-4 expression was measured on tumor cells (panCK+), cytotoxic T-cells (CD3+CD8+), T-helper cells (CD3+CD4+), regulatory T-cells (CD3+CD4+FOXP3+), subsets of macrophages (CD68+CD163+/CD68+iNOS+) and dendritic cells (CD11c+). Interestingly, TIM3 as well as CTLA-4 expression on CD3+CD8+ cytotoxic T-cells and CD3+CD4+FOXP3+ regulatory T-cells showed a spatially more diverse expression pattern - particularly inverse expression profile - compared to PD-1 expression on all analyzed T-cells subsets that was consistently accompanied by PD-L1 expression on immune and tumor cells (p<0.001). Combined analysis of cell densities, expression patterns, intensity measurements, interaction and distance analysis between immune cells and tumor cells revealed distinct changes in the immune cell infiltration pattern that was linked to several major immune checkpoint receptor expression profiles. Previously uncharacterized immune cell-composition dynamics in clustered tumor phenotypes, according to the immune checkpoint expression, were detected. This included for instance, a significant inverse association between CTLA-4 expression on T-cells and high expression levels of the PD-1/PD-L1 axis. In conclusion, deep profiling of 18 biomarkers in more than 40 different carcinoma entities revealed complex changes in the spatial orchestration of a wide range of immune cell subsets that was driven by the expression profile and composition of TIM3, PD-1, PD-L1, and CTLA-4. Citation Format: Nicolaus F. Debatin, Elena Bady, Tim Mandelkow, Magalie C. Lurati, Ronald Simon, Claudia Hube-Magg, Maximilian Lennartz, Guido Sauter, Niclas C. Blessin. Interplay between TIM3+ immune cells and other immune checkpoints in more than 40 different human carcinoma entities using 18+1 BLEACH&STAIN mfIHC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1935.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call