title: Induction of Wnt-inducible signaling protein-1 correlates with invasive breast cancer oncogenesis and reduced type 1 cell-mediated cytotoxic immunity: a retrospective study.
abstract: Innate and type 1 cell-mediated cytotoxic immunity function as important extracellular control mechanisms that maintain cellular homeostasis. Interleukin-12 (IL12) is an important cytokine that links innate immunity with type 1 cell-mediated cytotoxic immunity. We recently observed in vitro that tumor-derived Wnt-inducible signaling protein-1 (WISP1) exerts paracrine action to suppress IL12 signaling. The objective of this retrospective study was three fold: 1) to determine whether a gene signature associated with type 1 cell-mediated cytotoxic immunity was correlated with overall survival, 2) to determine whether WISP1 expression is increased in invasive breast cancer, and 3) to determine whether a gene signature consistent with inhibition of IL12 signaling correlates with WISP1 expression. Clinical information and mRNA expression for genes associated with anti-tumor immunity were obtained from the invasive breast cancer arm of the Cancer Genome Atlas study. Patient cohorts were identified using hierarchical clustering. The immune signatures associated with the patient cohorts were interpreted using model-based inference of immune polarization. Reverse phase protein array, tissue microarray, and quantitative flow cytometry in breast cancer cell lines were used to validate observed differences in gene expression. We found that type 1 cell-mediated cytotoxic immunity was correlated with increased survival in patients with invasive breast cancer, especially in patients with invasive triple negative breast cancer. Oncogenic transformation in invasive breast cancer was associated with an increase in WISP1. The gene expression signature in invasive breast cancer was consistent with WISP1 as a paracrine inhibitor of type 1 cell-mediated immunity through inhibiting IL12 signaling and promoting type 2 immunity. Moreover, model-based inference helped identify appropriate immune signatures that can be used as design constraints in genetically engineering better pre-clinical models of breast cancer.
authors.affiliation: Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, West Virginia, United States of America ; Department of Microbiology, Immunology, and Cell Biology, West Virginia University, Morgantown, West Virginia, United States of America.
authors.forename: David J
authors.initials: DJ
authors.lastname: Klinke
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000276:immunology / Q000378:metabolism*; D055511:CCN Intercellular Signaling Proteins / Q000378:metabolism*; D063646:Carcinogenesis; D002471:Cell Transformation, Neoplastic; D016000:Cluster Analysis; D015331:Cohort Studies; D019295:Computational Biology / Q000379:methods; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D005818:Genetic Engineering; D006801:Humans; D007111:Immunity, Cellular; D018664:Interleukin-12 / Q000378:metabolism; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D011518:Proto-Oncogene Proteins / Q000378:metabolism*; D012333:RNA, Messenger / Q000378:metabolism; D012189:Retrospective Studies; D015398:Signal Transduction
chemical_list: D055511:CCN Intercellular Signaling Proteins; C116396:CCN4 protein, human; D011518:Proto-Oncogene Proteins; D012333:RNA, Messenger; D018664:Interleukin-12