9 research outputs found
Expression of the Homeobox Gene HOXA9 in Ovarian Cancer Induces Peritoneal Macrophages to Acquire an M2 Tumor-Promoting Phenotype
Tumor-associated macrophages (TAMs) exhibit an M2 macrophage phenotype that suppresses anti-tumor immune responses and often correlates with poor outcomes in patients with cancer. Patients with ovarian cancer frequently present with peritoneal carcinomatosis, but the mechanisms that induce naïve peritoneal macrophages into TAMs are poorly understood. In this study, we found an increased abundance of TAMs in mouse i.p. xenograft models of ovarian cancer that expressed HOXA9, a homeobox gene that is associated with poor prognosis in patients with ovarian cancer. HOXA9 expression in ovarian cancer cells stimulated chemotaxis of peritoneal macrophages and induced macrophages to acquire TAM-like features. These features included induction of the M2 markers, CD163 and CD206, and the immunosuppressive cytokines, IL-10 and chemokine ligand 17, and down-regulation of the immunostimulatory cytokine, IL-12. HOXA9-mediated induction of TAMs was primarily due to the combinatorial effects of HOXA9-induced, tumor-derived transforming growth factor-β2 and chemokine ligand 2 levels. High HOXA9 expression in clinical specimens of ovarian cancer was strongly associated with increased abundance of TAMs and intratumoral T-regulatory cells and decreased abundance of CD8+ tumor-infiltrating lymphocytes. Levels of immunosuppressive cytokines were also elevated in ascites fluid of patients with tumors that highly expressed HOXA9. HOXA9 may, therefore, stimulate ovarian cancer progression by promoting an immunosuppressive microenvironment via paracrine effects on peritoneal macrophages
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Whole Cell MALDI Fingerprinting Is a Robust Tool for Differential Profiling of Two-Component Mammalian Cell Mixtures
MALDI fingerprinting was first described two decades ago as a technique to identify microbial cell lines. Microbial fingerprinting has since evolved into an automated platform for microorganism identification and classification, which is now routinely used in clinical and environmental sectors. The extension of fingerprinting to mammalian cells has yet to progress partly due to compartmentalization of eukaryotic cells and overall higher cellular complexity. A number of publications on mammalian whole cell fingerprinting suggest that the method could be useful for classification of different cell types, cell states, and monitoring cell differentiation. We report the optimization of MALDI fingerprinting workflow parameters for mammalian cells and its application for differential profiling of mammalian cell lines and two-component cell line mixtures. Murine fallopian tube cells and high-grade ovarian carcinoma cell lines and their mixtures are used as model mammalian cell lines. Two-component cell mixtures serve to determine the method's feasibility for complex biological samples as the ability to detect cancer cells in a mixed cell population. The level of detection of cancer cells in the two-component mixture by principle component analysis (PCA) starts to deteriorate at 5% but with application of a different statistical approach, Wilcoxon rank sum test, the level of detection was determined to be 1%. The ability to differentiate heterogeneous cell mixtures will help further extend whole cell MALDI fingerprinting to complex biological systems. Graphical Abstract