Project description:Chronic inflammation promotes breast tumor growth and invasion by accelerating angiogenesis and tissue remodeling in the tumor microenvironment. The relationship between inflammation and estrogen, which drives the growth of 70 percent of breast tumors, is complex. Low levels of estrogen exposure stimulate macrophages and other inflammatory cell populations, but very high levels are immune suppressive. Breast tumor incidence is increased by obesity and age, which interact to influence inflammatory cell populations in normal breast tissue. The molecular impact of these factors on tumor initiation and growth is not well-understood. We modeled the difference in gene expression between 195 breast adenocarcinomas and 195 matched adjacent normal breast tissue samples, using age, body mass index (BMI), and tumor subtype as covariates. Age and BMI were independently associated with inflammation in normal tissue but not tumors. Older patients with ER-positive disease had tumors with higher levels of Estrogen Receptor (ER) signaling compared to adjacent normal tissue and had lower relative levels of tumor macrophage expression. We developed a novel statistic to quantify the rewiring of gene co-expression networks and demonstrate that in ER-positive tumors basal gene networks are rewired even though their expression levels of these genes are not significantly different from those in adjacent normal tissue. Patient age influences the molecular profile of ER-positive breast tumors. Our data support an immunosuppressive effect of estrogen signaling in the breast tumor microenvironment, suggesting this effect contributes to the greater presence of prognostic and therapeutically relevant immune cells in ER-negative tumors. 296 total samples: 148 breast adenocarcinoma, 148 paired adjacent normal breast tissue
Project description:Chronic inflammation promotes breast tumor growth and invasion by accelerating angiogenesis and tissue remodeling in the tumor microenvironment. The relationship between inflammation and estrogen, which drives the growth of 70 percent of breast tumors, is complex. Low levels of estrogen exposure stimulate macrophages and other inflammatory cell populations, but very high levels are immune suppressive. Breast tumor incidence is increased by obesity and age, which interact to influence inflammatory cell populations in normal breast tissue. The molecular impact of these factors on tumor initiation and growth is not well-understood. We modeled the difference in gene expression between 195 breast adenocarcinomas and 195 matched adjacent normal breast tissue samples, using age, body mass index (BMI), and tumor subtype as covariates. Age and BMI were independently associated with inflammation in normal tissue but not tumors. Older patients with ER-positive disease had tumors with higher levels of Estrogen Receptor (ER) signaling compared to adjacent normal tissue and had lower relative levels of tumor macrophage expression. We developed a novel statistic to quantify the rewiring of gene co-expression networks and demonstrate that in ER-positive tumors basal gene networks are rewired even though their expression levels of these genes are not significantly different from those in adjacent normal tissue. Patient age influences the molecular profile of ER-positive breast tumors. Our data support an immunosuppressive effect of estrogen signaling in the breast tumor microenvironment, suggesting this effect contributes to the greater presence of prognostic and therapeutically relevant immune cells in ER-negative tumors. 137 total samples: 43 mammaplastic reduction, 47 breast adenocarcinoma, 47 paired adjacent normal breast tissue
Project description:The aim of the presented study was to define tissue and plasma miRNA signatures, which could potentially serve as diagnostic and prognostic markers in endometrioid endometrial cancer (EEC), and to investigate miRNA profiles in regard to clinicopathological characteristics of the tumors. Results: qPCR validation revealed regulation of 14 miRNAs in EEC tissues (miR-9, miR-141,miR-205,miR-203,miR-183,miR-200a*,miR-200b*,miR-200a,miR-200c,miR-429,miR-200b,miR-410,miR-92a,miR-1305) and 9 in plasma samples (miR-449a,miR-1290,miR-1228,miR-203,miR-200a,miR-141,miR-92a, miR-9, miR-301b). Expression of certain miRNAs showed association with FIGO stage, grade and relapse. Two miRNA signatures, miR-205/miR-410 and miR-410/miR-429/miR-92a, classified tumor tissues with higher accuracy in comparison to single miRNAs (AUC 0.972, 95% CI 0.919-0.995 and 0.991, 95% CI 0.948-1.000, resepctively). miRNA signature composed of miR-205 and miR-200a predicted relapse with AUC of 0.854 (95% CI 0.691-0.951). Tissue miRNA signatures were independent prognostic markers of overall (miR-1228/miR-200c/miR-429, HR 2.98) and progression-free survival (miR-1228/miR-429, HR 4.149). Plasma miRNA signatures classified EEC plasma samples with high accuracy. Conclusions: We conclude that miRNA signatures hold great promise for becoming non-invasive biomarkers for early EEC detection and prognosis. Tissue samples were collected from 122 women (77 EEC and 45 controls). Expression profiling of 866 human miRNAs and 89 human viral miRNAs was performed in 24 samples and was followed by qPCR validation in 104 patients. Of 24 samples analyzed by microarrays, 22 (18 EEC, 4 normal controls) were available for final analysis. Expression of 14 miRNAs was analysed in 48 plasma samples by qPCR.
Project description:The existence of a radiation bystander effect, in which non-irradiated cells respond to signals from irradiated cells, is well established. It raises concerns for the interpretation of risks from exposure to low doses of ionizing radiation. Sparse data exists about the bystander signaling mechanisms and the ability to transmit damaging effects both spatially and temporally. To understand early signaling and cellular changes in bystanders, we have measured global gene expression 30 minutes after direct and bystander exposure to alpha particle in primary human lung fibroblasts. Gene ontology and pathway analyses suggested that the earliest measured changes at 30 minutes after treatment are in cell structure, motility and adhesion categories and a significant number of genes belong to the category of inflammation and cell-to-cell communication. We investigated time course gene expression profiles of matrix metalloproteinases 1 and 3 (MMP1 and MMP3), chemokine ligands 2, 3 and 5 (CXCL2, CXCL3 and CXCL5), interleukins 1a, 1b, 6 and 33 (IL1A, IL1B, IL6 and IL33) growth differentiation factor 15 (GDF15) and superoxide dismutase2 (SOD2) by real time quantitative PCR. These encode proteins involved in cellular signaling via the NFkappaB pathway and time course of mRNA levels revealed an increased response at 30 minutes after irradiation followed by another wave at 4 to 6 hours. We also investigated protein modifications in the AKT-GSK-3 signaling pathway and found that in irradiated cells AKT and GSK3beta are hyper-phosphorylated at 30 minutes and this effect is maintained until 4 hours after exposure. In bystanders there is a similar response with a delay of 30 minutes. In irradiated cells, inactivated GSK3beta led to decreased phosphorylation of beta-catenin. Our results are the first to show that the radiation induced bystander signal can induce a widespread gene expression response as early as 30 minutes after exposure and that these changes are accompanied by protein modification of signaling modules such as AKT and GSK3beta. There are 12 total samples, 4 corresponding biological replicates of IMR90 cells that were not irradiated (control=C), irradiated (alpha=A) and bystander (B), cells were harvested 0.5 hr after treatment
Project description:We analyzed the transcriptomic profile of CA3 explants surgically obtained from patients with refractory MTLE (mesial temporal lobe epilepsy) and HS (hippocampal sclerosis) in order to investigate if the initial precipitating injury (IPI) influences the molecular mechanisms underlying this condition. CA3 transcriptomic profile was found to be significantly different in cases with prolonged febrile seizures as the IPI (identified here as FS) when compared to correspondent data from cases without febrile seizure history (NFS). CA3 transcriptomic profiles of FS and NFS were compared in order to identify differentially expressed transcripts
Project description:MicroRNAs (miRNAs) are a class of short, single-stranded widely expressed noncoding RNAs that regulate the stability or translational efficiency of target messenger RNAs. Date derived from expression profiling of 489 miRNAs in 101 human primary breast tumor samples, along with genome-wide matched mRNA profiling and extensive clinical information were investigated in this study. miRNA and mRNA expression were analyzed using correlations and enrichments analyses. The results show that particular cellular processes such as proliferation, cell adhesion, and immune response are significantly enriched among genes with strong positive or negative correlation to individual or groups of miRNAs. Functional analyses were performed to validate the influence of miRNAs on proliferation. A group of miRNAs was identified that is associated to breast cancer disease free survival. This study provides a comprehensive dataset that can be used as groundwork for further studies of the involvement of miRNA in breast cancer. miRNA profiling from 101 breast cancer samples was performed. Experiments were mostly performed using duplicate hybridizations (99 samples) on different arrays and time points. Two samples were profiled only once. miRNA signal intensities for replicate probes were averaged across the platform, log2 transformed and normalized to the 75 percentile. miRNA expression status was scored as present or absent for each gene in each sample by default settings in FE v9.5. miRNAs in samples that were run in replicates were considered present if scored in one of the two arrays. mRNA profiling from 115 breast cancer samples was performed. Replicates not included. Four new arrays were added in this version with 115 samples versus the one with 114 samples (GSE19536). For samples 34, 107 and 185, a new array replaces the old one, generally with only small differences in values. Sample 391 is added to the 115 sample dataset. Replicates not included.
Project description:To investigate the effect of vascular endothelial growth factor (VEGF) on gene expression profile after focal cerebral ischemia in mouse, we employed Agilent SurePrint G3 Mouse Gene Expression 8M-CM-^W60K Microarray as a platform to identify which genes influenced by VEGF in mouse after focal cerebral ischemia. Mice were randomized to sham group, in which mice underwent sham surgery; MCAO group, in which transient (90 min) middle cerebral artery occlusion (MCAO) model was performed and mice received vehicle (PBS, 0.01M, pH 7.4) intracerebroventricularly in the right lateral ventricle 3hr after reperfusion; VEGF group (n = 36), in which rhVEGF-A165 (10M-NM-<g/ml, dissolved in 0.01M PBS) was injected into the right lateral ventricle 3hr after reperfusion. Mice were sacrificed at 24hr after reperfusion, brains removed and peri-infarct areas were used for microarray. Gene expression microarray was applied to investigate the differentially expressed genes among sham group, MCAO group and VEGF group. Expression of thirty-seven genes was confirmed in the same RNA samples by real-time PCR. Gene expression in sham group, MCAO group and VEGF group was measured at 24 hours after reperfusion. Three independent experiments were performed using different mice for each experiment.
Project description:Uninvolved tissue taken at the time of primary surgical resection of an adenocarcinoma. Uninvolved status determined by surgical margin and gross appearance, not pathology 35 biologically distinct samples, no replicates, no controls
Project description:Female breast cancer patients who underwent surgery for breast cancer as part of the Danish Center for Translational Breast Cancer Research program were included from 2003 to 2012. Patient inclusion criteria were: (1) a unifocal tumor with an estimated size of more than 20 mm in diameter, (2) none of the patients had a history of breast surgery and (3) none received preoperative treatment. Patients were defined as high risk according to the Danish Breast Cooperative Group (www.dbcg.dk) and were followed after surgery.
Project description:MicroRNAs (miRNAs) are a class of short, single-stranded widely expressed noncoding RNAs that regulate the stability or translational efficiency of target messenger RNAs. Date derived from expression profiling of 489 miRNAs in 101 human primary breast tumor samples, along with genome-wide matched mRNA profiling and extensive clinical information were investigated in this study. miRNA and mRNA expression were analyzed using correlations and enrichments analyses. The results show that particular cellular processes such as proliferation, cell adhesion, and immune response are significantly enriched among genes with strong positive or negative correlation to individual or groups of miRNAs. Functional analyses were performed to validate the influence of miRNAs on proliferation. A group of miRNAs was identified that is associated to breast cancer disease free survival. This study provides a comprehensive dataset that can be used as groundwork for further studies of the involvement of miRNA in breast cancer. miRNA profiling from 101 breast cancer samples was performed. Experiments were mostly performed using duplicate hybridizations (99 samples) on different arrays and time points. Two samples were profiled only once. miRNA signal intensities for replicate probes were averaged across the platform, log2 transformed and normalized to the 75 percentile. miRNA expression status was scored as present or absent for each gene in each sample by default settings in FE v9.5. miRNAs in samples that were run in replicates were considered present if scored in one of the two arrays. mRNA profiling from 114 breast cancer samples was performed. Replicates not included. Final processed mRNA data (quantile-normalized and averaged per Gene Symbol) is represented in the supplementary file at the foot of this record.