Gene expression profiles of tumor epithelium and tumor-associated stroma of HER2+ breast tumors, plus normal epithelium and stroma from HER2+ and HER2- breast tumors
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE83591 | GEO | 2017/09/05
SECONDARY ACCESSION(S): PRJNA326438
REPOSITORIES: GEO
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Project description:Engaging the immune system promises to be key for optimal cancer therapy, especially in hard-to-treat disease such as triple-negative breast cancer (TNBC). However, the immune microenvironment remains poorly understood. Using gene expression based on laser capture microdissection, we identify three distinct tumor microenvironments associated with CD8+ T cell localization patterns and outcome in TNBC. An immunoreactive microenvironment is defined by granzyme B-positive CD8+ T cell infiltration, a type I interferon signature, tumor expression of PD-L1 and good outcome. In contrast, tumors with an immune-cold microenvironment display restriction of CD8+ T cells to tumor margins, elevated tumor expression of the immunosuppressive marker B7-H4, a signature of desmoplastic stroma and poor outcome. A third distinct immunomodulatory microenvironment associated with poor outcome is enriched for IL-17-producing cells and neutrophils, as well as stroma-restricted localisation of CD8+ T cells. These distinct immune microenvironments have implications for TNBC patient stratification for current and future therapies.
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Project description:Breast cancer is an extremely heterogeneous disease. This heterogeneity can be observed at multiple levels, including gene expression, chromosomal aberrations, and disease pathology. A clear understanding of these differences is important since they impact upon treatment efficacy and clinical outcome. Many studies have shown that the tumor microenvironment also plays a critical role in cancer initiation and progression. Although genomic technologies have been used to gain a better understanding of the impact of gene expression heterogeneity on breast cancer outcome by identifying gene expression signatures associated with clinical outcome, histopathological breast cancer subtypes, and a variety of cancer--related pathways and processes, relatively little is known about the influence of of heterogeneity in the tumor microenvironment on these factors. We show that gene expression in the breast tumor microenvironment is highly heterogeneous, identifying at least six different classes of tumor stroma with distinct expression patterns and distinct biological processes. Two of these classes recapitulate the processes identified in the stroma--derived prognostic predictor, while the others are new classes of stroma associated with distinct clinical outcomes. One of these is associated with matrix remodeling and is strongly associated with the basal molecular subtype of breast cancer. The remainder are independent of the previously published molecular subtypes of breast cancer. Additionally, based on independent data from over 800 tumors, the combinations of stroma classes and breast cancer subtypes identify new subgroups of breast tumors that show better discrimination between good and poor outcome individuals than the molecular breast cancer subtypes or the stroma classes alone, suggesting a novel classification scheme for breast cancer . This further demonstrates an important role for the tumor microenvironment in defining breast cancer heterogeneity, with a consequent impact upon clinical outcome.
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Project description:Tumor-associated breast stroma was laser-capture microdissected from IDC breast cancer cases. The goal of the study was to characterize the heterogeneity of breast tumor-assocaited stroma and identify gene expression signatures predictive of clinical outcome. Keywords: disease state analysis
2008-04-11 | GSE9014 | GEO
Project description:Tissue of the breast is heterogeneous, consisting of a variety of cell types and connective tissue. This heterogeneity is also present in breast tumors and will complicate proteomic analysis, as it is not always clear whether a signal originates from the stromal environment, from normal epithelial or tumor cells. Here we microdissected a variety of cell types and stroma from benign and malignant breast tissues. We compared proteomic differences between these tissues, both from cells of epithelial origin and the stromal environment. Differences in protein abundances corresponded with several hallmarks of cancer, including loss of cell adhesion, transformation to a migratory phenotype, and enhanced energy metabolism. Furthermore, despite enriching for (tumor) epithelial cells, many changes to the extracellular matrix were detected in microdissected cells of epithelial origin. The stromal compartment was heterogeneous and richer in the number of fibroblast and immune cells in malignant sections, compared to benign tissue sections. Although this heterogeneity complicated detection of differentially abundant proteins, several markers were exclusively detected in stroma. However, as heterogeneity in the stroma is more difficult to be reduced through microdissection, comparative analysis was most informative in microdissected cells of epithelial origin, and provided a relatively complete picture of malignant transformations.
2017-01-11 | PXD003632 | Pride
Project description:Tumor-associated breast stroma was laser-capture microdissected from IDC breast cancer cases. The goal of the study was to characterize the heterogeneity of breast tumor-assocaited stroma and identify gene expression signatures predictive of clinical outcome. Experiment Overall Design: Common reference design, 53 samples, with dye-swap replicates. Some samples replicated three or four times, a total of 111 arrays.
2008-06-16 | E-GEOD-9014 | biostudies-arrayexpress
Project description:Abstract Motivation Breast cancer is a heterogeneous disease with distinct subtypes. Even within these subtypes differences at the molecular level are present which are reflected in variable responses to chemotherapy. We set out to identify genes associated with chemotherapy resistance by analyzing a set of HER2-positive breast cancers. Methods We collected, gene expression profiled and analyzed 60 HER2-positive breast tumor biopsies, obtained from patients scheduled to undergo neoadjuvant therapy. In addition to conventional supervised approaches for the detection of reporters of resistance, we report on a novel approach specifically tailored to the detection of small groups of resistant samples that show aberrant gene expression patterns. Results We propose a novel analytical approach that takes heterogeneity in response into account. We show that this approach is more powerful than classical approaches for detecting small subgroups of samples showing aberrant expression in a controlled setting. We applied this approach to our 60 breast cancer samples prior to neoadjuvant chemotherapy, and generated candidate response reporter lists for each subtype. Discussion Using a novel analytical approach we report on the mRNA gene expression analysis of a cohort of breast cancers prior to neoadjuvant chemotherapy. An important characteristic of this approach is that it takes heterogeneity in neoadjuvant treatment response into account. Such approaches are needed to identify biomarkers for predicting treatment response. We collected, gene expression profiled and analyzed 60 breast tumor biopsies, obtained from patients scheduled to undergo neoadjuvant therapy.
2013-10-22 | E-GEOD-41656 | biostudies-arrayexpress
Project description:Engaging the immune system promises to be key for optimal cancer therapy, especially in hard-to-treat disease such as triple-negative breast cancer (TNBC). However, the immune microenvironment remains poorly understood. Using gene expression based on laser capture microdissection, we identify three distinct tumor microenvironments associated with CD8+ T cell localization patterns and outcome in TNBC. An immunoreactive microenvironment is defined by granzyme B-positive CD8+ T cell infiltration, a type I interferon signature, tumor expression of PD-L1 and good outcome. In contrast, tumors with an immune-cold microenvironment display restriction of CD8+ T cells to tumor margins, elevated tumor expression of the immunosuppressive marker B7-H4, a signature of desmoplastic stroma and poor outcome. A third distinct immunomodulatory microenvironment associated with poor outcome is enriched for IL-17-producing cells and neutrophils, as well as stroma-restricted localisation of CD8+ T cells. These distinct immune microenvironments have implications for TNBC patient stratification for current and future therapies.
2019-02-22 | GSE88847 | GEO
Project description:Abstract Motivation Breast cancer is a heterogeneous disease with distinct subtypes. Even within these subtypes differences at the molecular level are present which are reflected in variable responses to chemotherapy. We set out to identify genes associated with chemotherapy resistance by analyzing a set of HER2-positive breast cancers. Methods We collected, gene expression profiled and analyzed 60 HER2-positive breast tumor biopsies, obtained from patients scheduled to undergo neoadjuvant therapy. In addition to conventional supervised approaches for the detection of reporters of resistance, we report on a novel approach specifically tailored to the detection of small groups of resistant samples that show aberrant gene expression patterns. Results We propose a novel analytical approach that takes heterogeneity in response into account. We show that this approach is more powerful than classical approaches for detecting small subgroups of samples showing aberrant expression in a controlled setting. We applied this approach to our 60 breast cancer samples prior to neoadjuvant chemotherapy, and generated candidate response reporter lists for each subtype. Discussion Using a novel analytical approach we report on the mRNA gene expression analysis of a cohort of breast cancers prior to neoadjuvant chemotherapy. An important characteristic of this approach is that it takes heterogeneity in neoadjuvant treatment response into account. Such approaches are needed to identify biomarkers for predicting treatment response.
2013-10-22 | GSE41656 | GEO
Project description:Stratification of breast cancers into subtypes are generally based on immune assays on tumor cells and/or mRNA expression of tumor cell enriched tissues. Here, we have laser microdissected tumor epithelium and tumor stroma from 24 breast cancer biopsies (12 luminal-like and 12 basal-like). We hypothesized that the stromal proteome would separate patients with breast into groups independently of the traditional epithelial based subtypes.
2023-06-23 | PXD027012 | Pride
Project description:The tumor immune microenvironment (TIME) is a critical determinant of therapeutic response. However, the mechanisms regulating its modulation are not fully understood. HER2D16, an oncogenic splice variant of the human epidermal growth factor receptor (HER2), has been implicated in breast cancer and other tumor types as a driver of tumorigenesis and metastasis. Nevertheless, the underlying mechanisms of HER2Δ16-mediated oncogenicity remain poorly understood. Here, we show that HER2∆16 expression is not exclusive to the clinically HER2+ subtype and is associated with a poor clinical outcome in breast cancer. To understand how HER2 variants modulate the tumor microenvironment, we generated transgenic mouse models expressing either proto-oncogenic HER2 or HER2D16 in the mammary epithelium. We found that HER2∆16 tumors are immune cold, characterized by low immune infiltrate and an altered cytokine profile. Using an epithelial cell surface proteomic approach, we identified ENPP1 as a functional regulator of the immune cold microenvironment. We generated a knock-in model of HER2Δ16 under the endogenous promoter to understand the role of ENPP1 in aggressive HER2+ breast cancer. Knockdown of ENPP1 in HER2Δ16-derived tumor cells resulted in decreased tumor growth that was correlated with increased T-cell infiltration. These findings suggest that HER2Δ16-dependent ENPP1 activation is associated with aggressive HER2+ breast cancer through its immune modulatory function. Our study provides a better understanding of the mechanisms underlying HER2Δ16-mediated oncogenicity and highlights ENPP1 as a potential therapeutic target in aggressive HER2+ breast cancer.
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