2017
DOI: 10.1186/s40425-017-0215-8
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Gene expression markers of Tumor Infiltrating Leukocytes

Abstract: BackgroundAssays of the abundance of immune cell populations in the tumor microenvironment promise to inform immune oncology research and the choice of immunotherapy for individual patients. We propose to measure the intratumoral abundance of various immune cell populations with gene expression. In contrast to IHC and flow cytometry, gene expression assays yield high information content from a clinically practical workflow. Previous studies of gene expression in purified immune cells have reported hundreds of … Show more

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Cited by 658 publications
(603 citation statements)
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“…Upon closer examination, all immune response categories appeared to be upregulated after treatment with sipuleucel-T, with genes involved in leukocyte functions exhibiting the highest level of increase in expression (Figure 1B). Immune cell scores of lymphocytes infiltrated into the tumor microenvironment were calculated by nSolver software based on gene expression levels normalized to housekeeping genes 6 The scores of total T cells, cytotoxic CD8 T cells, and helper T cells were significantly increased after sipuleucel-T treatment (p = 0.02, 0.05 and <0.01, respectively), and there was a trend for increased total B cells post-treatment (p = 0.11, Figure 1C). When examining specific CD4 T cell subsets, the immune cell score of the Th1 subtype was significantly increased after treatment (p = 0.03), while the immune cell scores of Th2, Th17 and Treg subtypes were unchanged (Figure 1D).…”
Section: Resultsmentioning
confidence: 99%
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“…Upon closer examination, all immune response categories appeared to be upregulated after treatment with sipuleucel-T, with genes involved in leukocyte functions exhibiting the highest level of increase in expression (Figure 1B). Immune cell scores of lymphocytes infiltrated into the tumor microenvironment were calculated by nSolver software based on gene expression levels normalized to housekeeping genes 6 The scores of total T cells, cytotoxic CD8 T cells, and helper T cells were significantly increased after sipuleucel-T treatment (p = 0.02, 0.05 and <0.01, respectively), and there was a trend for increased total B cells post-treatment (p = 0.11, Figure 1C). When examining specific CD4 T cell subsets, the immune cell score of the Th1 subtype was significantly increased after treatment (p = 0.03), while the immune cell scores of Th2, Th17 and Treg subtypes were unchanged (Figure 1D).…”
Section: Resultsmentioning
confidence: 99%
“…Genes previously shown to be characteristic of various immune cell populations were used to measure these populations’ abundance. 6 …”
Section: Methodsmentioning
confidence: 99%
“…In the attempt of defining the abundance and the functional profile of immune cell populations represented in liver tissue infiltrate, we took advantage of previous work identifying cell-specific gene expression profiles consistent with flow cytometry and immunohistochemical staining [14, 15]. …”
Section: Resultsmentioning
confidence: 99%
“…The NanoString nSolver 2.6 software was used for normalisation of expression counts using housekeeping genes following the manufacturer's recommendations . Data are displayed in expression count units of individual gene per patient compared with normal liver tissue, and internally normalised within each immune category (e.g.…”
Section: Methodsmentioning
confidence: 99%