In vitro assessment of cancer cell-induced polarization of macrophages.

The progression of cancer is strongly influenced by the crosstalk between cancer cells and immune cells. Immune cells can have both pro- and anti-tumor functions depending on the signals present in the environment. A significant proportion of the immune compartment of most solid tumors consists of tumor-associated macrophages. Although their abundance has been associated with poor prognosis in many solid tumor types, the molecular mechanisms by which cancer cells influence macrophage phenotype and function are largely unknown. In this chapter, we provide a detailed description of in vitro assays to study the impact of cancer cells on macrophages. We provide protocols to obtain macrophages from murine bone marrow and human peripheral blood, and to expose these macrophages to cancer cell-derived secreted molecules using conditioned medium from cancer cells. We describe several assays to assess cancer cell-induced polarization of macrophages. This experimental set-up can be utilized to gain molecular insights into how cancer cells influence macrophages.

Flow cytometry-based isolation of tumor-associated regulatory T cells and assessment of their suppressive potential.

Regulatory T cells (Tregs) play a major role in establishing an immunosuppressive tumor microenvironment. In order to fully uncover their role and molecular regulation in tumor-bearing hosts, it is critical to combine phenotypical characterization with functional analyses. A standard method to determine the suppressive potential of Tregs is with an in vitro suppression assay, in which the impact of freshly isolated Tregs on T cell proliferation is assessed. The assay requires the isolation of substantial numbers of Tregs from tissues and tumors, which can be challenging due to low yield or cell damage during sample preparation. In this chapter, we discuss a flexible suppression assay which can be used to assess the suppressive potential of low numbers of murine Tregs, directly isolated from tumors. We describe methods for tissue preparation, flow cytometry-based sorting of Tregs and optimal conditions to perform a suppression assay, to obtain reliable and reproducible results.

Assessment of PD-L1 expression across breast cancer molecular subtypes, in relation to mutation rate, BRCA1-like status, tumor-infiltrating immune cells and survival.

To better understand the expression pattern of programmed death-ligand 1 (PD-L1) expression in different breast cancer types, we characterized PD-L1 expression in tumor and tumor-infiltrating immune cells, in relation to mutation rate, BRCA1-like status and survival. We analyzed 410 primary treatment-naive breast tumors comprising 162 estrogen receptor-positive (ER+) and HER2-, 101 HER2+ and 147 triple-negative (TN) cancers. Pathologists quantified tumor-infiltrating lymphocytes (TILs) and PD-L1 expression in tumor cells and TILs using whole slides and tissue microarray. Mutation rate was assessed by DNA sequencing, BRCA1-like status using multiplex ligation-dependent probe amplification, and immune landscape by multiplex image analyses of CD4, CD68, CD8, FOXP3, cytokeratin, and PD-L1. Half of PD-L1 scores evaluated by tissue microarray were false negatives compared to whole slide evaluations. We observed at least 1% of PD-L1-positive (PD-L1+) cells in 53.1% of ER+HER2-, 73.3% of HER2+, and 84.4% of TN tumors. PD-L1 expression was higher in ductal compared to lobular carcinomas, also within ER+HER2- tumors (p = 0.04). High PD-L1+ TILs score (> 50%) was independently associated with better outcome in TN tumors (HR = 0.27; 95%CI = 0.10-0.69). Within TN tumors, PD-L1 and TIL scores showed a modest but significant positive association with the number of silent mutations, but no association with BRCA1-like status. Multiplex image analyses indicated that PD-L1 is expressed on multiple immune cells (CD68+ macrophages, CD4+, FOXP3+, and CD8+ T cells) in the breast tumor microenvironment, independent of the PD-L1 status of the tumor cells. We found no evidence that levels of PD-L1+ TILs in TN breast cancer are driven by high mutation rate or BRCA1-like status.