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ShcA is a Paracrine Integrator of the Adaptive Immune Response during Breast Cancer Progression

ABSTRACT: Using transgenic mouse models of breast cancer, we demonstrate that loss of ShcA signaling within mammary tumors results in extensive CD4+ T cell infiltration, activation and induction of a humoral immune response. Our studies reveal that ShcA signaling during early breast cancer progression is required to establish and maintain an immunosuppressive state that favors tumor growth. Consistent with these transgenic studies, high ShcA levels correlate with poor outcome and reduced CTL infiltration in primary human breast cancers. Conversely, elevated expression of a ShcA-regulated immune signature, generated from ShcA-null mammary tumors, is a predictor of good prognosis in HER2-positive and basal breast cancer patients. These observations define a novel role for ShcA in polarizing the immune response to facilitate tumorigenesis

ORGANISM(S): Mus musculus

PROVIDER: GSE18996 | GEO | 2010/10/12

SECONDARY ACCESSION(S): PRJNA120665

REPOSITORIES: GEO

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ShcA is a Paracrine Integrator of the Adaptive Immune Response during Breast Cancer Progression

Project description:Using transgenic mouse models of breast cancer, we demonstrate that loss of ShcA signaling within mammary tumors results in extensive CD4+ T cell infiltration, activation and induction of a humoral immune response. Our studies reveal that ShcA signaling during early breast cancer progression is required to establish and maintain an immunosuppressive state that favors tumor growth. Consistent with these transgenic studies, high ShcA levels correlate with poor outcome and reduced CTL infiltration in primary human breast cancers. Conversely, elevated expression of a ShcA-regulated immune signature, generated from ShcA-null mammary tumors, is a predictor of good prognosis in HER2-positive and basal breast cancer patients. These observations define a novel role for ShcA in polarizing the immune response to facilitate tumorigenesis NIC SHC null Tumors vs. pooled MMPV-NIC reference, some replicate dye swaps

2010-10-12 | E-GEOD-18996 | biostudies-arrayexpress

Expression data transgenic mouse mammary tumors

Project description:Immunosurveillance constitutes the first step of cancer immunoediting in which developing malignant lesions are eliminated by anti-tumorigenic immune cells. However, the mechanisms by which neoplastic cells induce an immunosuppressive state to evade the immune response are still unclear. The transcription factor Stat3 has been implicated in breast carcinogenesis and tumor immunosuppression in advanced disease, but its involvement in early disease development has not been established. Here, we genetically ablated Stat3 in the tumor epithelia of the inducible PyVmT mammary tumor model and found that Stat3-deficient mice recapitulated the three phases of immunoediting: elimination, equilibrium, and escape. Pathological analyses revealed that Stat3-deficient mice initially formed hyperplastic and early adenoma-like lesions that later completely regressed, thereby preventing the emergence of mammary tumors in the majority of animals. Furthermore, tumor regression was correlated with massive immune infiltration into the Stat3-deficient lesions, leading to their elimination. In a minority of animals, focal, non-metastatic Stat3-deficient mammary tumors escaped immunosurveillance after a long latency or equilibrium period. Taken together, our findings suggest that tumor epithelial expression of Stat3 plays a critical role in promoting an immunosuppressive tumor microenvironment during breast tumor initiation and progression, and prompt further investigation of Stat3 inhibitory strategies that may reactivate the immunosurveillance program. We used microarrays to detail determine the transcriptional difference between PyVmT-driven mouse mammary tumors that progressed in the presence or absense of epithelial Stat3. Mammary tumors from transgenic mice were excise and flash frozen. Tumors were analyzed from 8 Stat3-proficient tumors and 6 Stat3-deficient tumors. RNA was extracted and hybridization on Affymetrix microarrays.

2015-11-25 | E-GEOD-75325 | biostudies-arrayexpress

Gene expression profiling of mouse tumors arising from Keratin 6-positive mammary cells

Project description:Conventional transgenic and knockout models do not allow selective introduction of oncogenic alterations into the progenitor population of mammary cells; thus, the role of progenitor cells in mammary tumorigenesis is yet unknown. By generating transgenic mice expressing tva – encoding the receptor for avian leukosis virus subgroup A (ALV/A) – from the Keratin 6a (K6) gene promoter, we found that K6+ mammary cells are bipotential progenitor cells, but not stem cells. These K6+ cells were readily induced to form tumors by intraductal injection of RCAS (an ALV/A-derived vector) carrying the gene encoding polyoma middle T antigen. Compared with tumors induced by the same oncogene-expressing virus in transgenic mice expressing tva from the commonly used MMTV LTR or other murine models of breast cancer, tumors in this K6-tva line were unique in that they resemble the normal breast-like subtype of human breast cancer. Consequently, these observations suggest that the cell of origin affects mammary tumor phenotypes. This K6-tva model may be useful for preclinical testing of targeted therapy for normal-like breast cancers in patients. Keywords: Three group comparison We carried out Affymetrix array analysis of five RCAS-PyMT-induced tumors each from K6-tva mice and MMTV-tva mice, as well as five mammary tumors from MMTV-PyMT transgenic mice.

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Project description:<p>The identification of efficient and sensitive biomarkers for non-invasive tests is one of the major challenges in cancer diagnosis. To address this challenge, metabolomics is widely applied for identifying biomarkers that detects abnormal changes in cancer patients. Canine mammary tumors exhibit physiological characteristics identical to those in human breast cancer and serve as a useful animal model to conduct breast cancer research. Here, we aimed to provide a reliable large-scale metabolite dataset collected from dogs with mammary tumors, using proton nuclear magnetic resonance spectroscopy. We identified 55 metabolites in urine samples from 20 benign, 87 malignant, and 49 healthy control subjects. This dataset provides details of mammary tumor-specific metabolites in dogs and insights into cancer-specific metabolic alterations that share similar molecular characteristics.</p>

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Progesterone promotes immunomodulation and tumor development in the murine mammary gland

Project description:Clinical studies have linked use of progestins (synthetic progesterone (P4)) to breast cancer risk. However, little is understood regarding the role native P4, signaling through the progesterone receptor (PR), plays in formation of breast tumors. Studies published by our lab highlighted a link between PR and immune signaling pathways, suggesting PR induces PR to repress the interferon signaling pathway. Given these findings, we sought to investigate whether P4/PR drive immunomodulation in the mammary gland and development of mammary gland tumors. We found that mice treated with P4 displayed changes in the mammary gland suggesting inhibited immune response compared to placebo-treated mice. Furthermore, transgenic mice with PR overexpression demonstrated decreased numbers of immune cell populations in their mammary gland, lymph nodes, and spleens. Upon long-term monitoring, we determined that multi-parous PR overexpressing mice developed significantly more mammary gland tumors than control mice. Additionally, tumors of PR overexpressing mice contained fewer infiltrating immune cells. Finally, RNA sequencing analysis of tumor samples revealed that immune-related gene signatures were enriched in tumors of control mice compared to tumors of PR overexpressing mice. Together, these findings provide a novel mechanism behind P4-mediated promotion of mammary gland tumor development and provide rationale to investigate anti-progestin treatment to promote immune-mediated elimination of mammary gland tumors.

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Development and Characterization of Syngeneic Orthotopic Transplant Models of Obesity-Responsive Triple-Negative Breast Cancer in C57BL/6J Mice (in vivo)

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Development and Characterization of Syngeneic Orthotopic Transplant Models of Obesity-Responsive Triple-Negative Breast Cancer in C57BL/6J Mice (in vitro)

Project description:To develop transplantable triple-negative breast cancer cell lines from spontaneous mammary tumors arising C3(1)/SV40 T-antigen (C3-TAg) transgenic C57BL6 mice.

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Breast Cancer - immune clusters - RNA-seq

Project description:We use expression data from breast cancer tumors to define immune clusters in breast cancer. Immune clusters have gradual levels of immune infiltration. In the intermediate immune infiltration cluster, we found a worse prognosis which is independent of known clinicopathological features. We also found the immune clusters associated with treatment response. Further we use gene expression data and deconvolution algorithms to dissect the immune contexture of the clusters.

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Gene expression profiling of mouse tumors arising from Keratin 6-positive mammary cells

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Genomic Profiling of mouse mammary tumor models identifies miRNA signatures associated with mammary tumor lineage (primary tumors and normal mammary glands)

Project description:MicroRNAs (miRNAs) are small, non-coding, endogenous RNAs involved in many human diseases including breast cancer. miRNA expression profiling of human breast cancers has identified miRNAs related to the clinical diversity of the disease and potentially provides novel diagnostic and prognostic tools for breast cancer therapy. In order to further understand the roles of miRNAs in association with oncogenic drivers and in specifying sub-types of breast cancer, we performed miRNAexpression profiling on mammary tumors from eight well-characterized genetically -engineered Mouse (GEM) models of human breast cancer including MMTV–H-Ras, -Her2/neu, -c-Myc, -PymT, –Wnt1 and C3(1)/SV40 T/t-antigen transgenic mice, BRCA1fl/fl;p53+/-;MMTV-cre and the p53fl/fl ;MMTV-cre transplant model. miRNA expression data for 41 mouse primary mammary tumors and 5 mouse normal mammary glands

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