A5e6f6f8-481a-4e99-98e5-3d582e93a3c3 - samples
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PROVIDER: EGAD00001004175 | EGA |
REPOSITORIES: EGA
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Project description:Fibroadenomas are the most common benign breast tumors in women under 30. Unlike their malignant counterparts, relatively molecular profiling has been done on fibroadenomas. Here we performed gene expression profiling on ten fibroadenomas in order to better characterize these tumors. Through targeted amplicon sequencing, we have found that six of these tumors have MED12 mutations. We show that the MED12 mutations, among others, are associated with activated estrogen signaling, as well as increased invasiveness through upregulation of ECM remodelling genes.
2014-06-13 | GSE55594 | GEO
Project description:Fibroadenomas are the most common benign breast tumors in women under 30. Unlike their malignant counterparts, relatively molecular profiling has been done on fibroadenomas. Here we performed gene expression profiling on ten fibroadenomas in order to better characterize these tumors. Through targeted amplicon sequencing, we have found that six of these tumors have MED12 mutations. Here, we show that the MED12 mutations, among others, are associated with activated estrogen signaling, as well as increased invasiveness through upregulation of ECM remodelling genes. Microarray gene expression profiling was performed on 10 breast fibroadenomas and a combination of unsupervised and supervised clustering was performed to determine any differentially activated pathways between samples with mutated and non-mutated MED12.
2014-06-13 | E-GEOD-55594 | biostudies-arrayexpress
Project description:This experiment was performed with an aim to establish an early diagnostic marker for breast cancer based on the DNA methylation patterns. CpG Island were identified and amplified from the breast cancer related genomic loci. These selected loci were amplified using PCR from different human breast tissue samples. The samples included Breast cancer tissues and macroscopically normal tissues (3-5cm away from tumor) from breast cancer patients, benign breast tissues and healthy breast tissues from cancer free patients. All the genomic loci amplified from one particular tissue sample were pooled, biotin labeled and hybridized to a self designed and synthesised oligonucleotide microarray. The obtained signals were statistically analysed and the genomic loci which could differentiate the different kinds of breast tissues used based on their methylation levels are being reported.
2011-12-30 | E-TABM-1171 | biostudies-arrayexpress
Project description:We sought to identify circulating microRNAs (miRNAs) from blood plasma that could be used as biomarkers to detect breast cancer existing in high-risk benign breast tumors. Plasma samples were collected from patients with early-stage breast cancer (CA), high- (HB), moderate- (MB), and no-risk (Be) benign tumors. The miRNAs we have identified have the potential to develop into a crucial blood-based screening tool to help monitor the development of breast cancer in benign breast tumors.
2023-04-20 | GSE225117 | GEO
Project description:We report RNAseq analysis of 12 breast cancer patients treated with the ratiotracer 18F-Fluciclovine and the associated radiotracer uptake data. FFPE samples from 12 tumor and 7 benign tissue were sequenced. In addition, tissue samples from 6 normal breast reduction cases were sequenced for a total of 25 samples.
2023-12-31 | GSE174339 | GEO
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the replication data set (n=102) when we compared gene expression in untreated MS patients (n=27) to healthy controls (n=25).
2013-06-17 | GSE41849 | GEO
Project description:We analyzed gene expression in human peripheral blood mononuclear cells (PBMCs) from breast cancer patients, patients with benign breast abnormalities, healthy cancer-free individuals as well as patients with other types of cancer (gastrointestinal and brain cancers). Peripheral blood mononuclear cell (PBMC) samples were collected from women with a suspect initial mammogram prior to undergoing a diagnostic biopsy procedure to determine whether the detected abnormality was benign or malignant. In total, we collected blood from 57 women with a diagnosis of breast cancer and 37 with a benign diagnosis. We also collected blood from 31 women with normal initial mammograms as negative controls and 15 breast cancer patients following surgery. All breast cancer patient samples were collected at the Duke University Medical Center (DUMC) under an institutional review board (IRB)-approved protocol (Duke eIRB#12025) after obtaining informed consent and were provided by Dr. Jeffrey Marks. PBMC samples from patients with various gastrointestinal cancers (n=15) were colelcted and stored at DUMC under IRB-approved protocols (Duke eIRB#12010 and 12025) and were provided by Dr. Jeffrey Marks. Peripheral blood leukocyte samples from patients with brain tumors (n=7) were provided by Dr. John Sampson and were collected by leukapheresis under Duke eIRB#00003877 and #00009403.
2011-03-01 | E-GEOD-27562 | biostudies-arrayexpress
Project description:15-25% of breast cancers (BC) show ERBB2-amplification and overexpression of the encoded ERBB2 tyrosine kinase receptor. They are associated with a poor prognosis but can benefit from targeted therapy. A better knowledge of these BCs may help understand their behavior and design new therapeutic strategies. In this study, we defined the high resolution genome and gene expression profiles of 54 ERBB2-amplified BCs using 244K oligonucleotide array-comparative genomic hybridization and whole-genome DNA microarrays. We first identified the ERBB2-C17orf37-GRB7 genomic segment as the minimal common amplicon, and CRKRS and IKZF3 as the most frequent centromeric and telomeric amplicon borders, respectively. Second, we identified 17 genome regions affected by copy number aberration (CNA). The expression of 37 genes of these regions was deregulated. Third, two types of heterogeneity were observed in ERBB2-amplified BCs. The genomic profiles of estrogen receptor-postive (ER+) and negative (ER-) ERBB2-amplified BCs were different. The WNT/Ã?-catenin signaling pathway was involved in ER- ERBB2-amplified BCs, and PVT1 and TRPS1 were candidate oncogenes associated with ER+ ERBB2-amplified BCs. The size of the ERBB2-amplicon was different in inflammatory (IBC) and non inflammatory BCs. ERBB2-amplified IBCs were characterized by the downregulated and upregulated mRNA expression of ten and two genes in proportion to CNA, respectively. We have shown that ERBB2 BCs are heterogeneous and identified genomic features that may be useful in the design of therapeutical strategies Tumor tissues were collected from 340 patients with invasive adenocarcinoma who underwent initial surgery at the Institut Paoli-Calmettes (Marseilles, France) between 1987 and 2007 (from a cohort of 2,175 patients with frozen tumor sample) and from a series of 91 Tunisian T4d tumors (TNM, UICC) treated between 1994 and 1998 at the Salah Azaiz Institute (Tunis, Tunisia). Each patient gave informed consent and the study was approved by our institutional review board. Samples were macrodissected and frozen in liquid nitrogen within 30 minutes of removal. Genomic imbalances were determined by aCGH using 244K CGH oligonucleotide microarrays (Hu-244A, Agilent Technologies). Gene expression data of 51 of the 54 BCs and 4 normal breast (NB) samples (NB1, NB2, NB3 and NB4, representing samples from 4 women and 3 commercial pools of respectively 1, 2 and 4 normal breast RNA, Clontech, Palo Alto, CA) were quantified by using whole-genome DNA microarrays (HG-U133 plus 2.0, Affymetrix).
2009-09-02 | E-GEOD-17907 | biostudies-arrayexpress
Project description:Background: Fine needle aspiration biopsy (FNAB) is the gold-standard procedure for diagnosing malignant thyroid nodules. Indeterminate cytology is identified in 10-40% of cases and molecular testing may guide management in this setting. Current commercial options are expensive, and are either sensitive or specific. The aim of this study was to utilize next generation sequencing (NGS) technology to identify informative diversities in the microRNA (miRNA) expression profile of benign versus malignant thyroid nodules. Methods: Ex-vivo FNAB samples were obtained from thyroid specimens of patients that underwent thyroidectomy at a referral center. miRNA levels were determined using NGS and multiplexing technologies. Statistical analyses identified differences between normal and malignant samples and miRNA expression profiles that associate with malignancy were established. The accuracy of the miRNA signature in predicting histological malignancy was validated using a group of patient specimens with indeterminate cytology results. Results: 274 samples were obtained from 102 patients undergoing thyroidectomy. Of these samples, 71% were benign and 29% were malignant. Nineteen miRNAs were identified as statistically different between benign and malignant samples and were used to classify 35 additional nodules with indeterminate cytology (validation). The miRNA panel’s sensitivity, specificity, negative and positive predictive values and overall accuracy were 91%, 100%, 87%, 100% and 94%, respectively. Conclusion: Using NGS technology we identified a panel of 19 miRNAs that may be utilized to distinguish benign from malignant thyroid nodules with indeterminate cytology. Impact: Our panel may classify indeterminate thyroid nodules at higher accuracy than commercially available molecular tests.
2018-12-21 | GSE116196 | GEO
Project description:Amplification of the 8p11-p12 genomic region occurs in 30% of luminal B breast cancers and results in coordinate overexpression of several oncogenes, including ASH2L, which upregulates gene expression via promoter tri-methylation of lysine 4 on histone 3 (H3K4me3). Since 8p11-p12 amplification is associated with endocrine resistance, the major cause of breast cancer mortality, understanding the underlying biology is essential to improving treatment options for patients. To explore the role of amplified and overexpressed ASH2L on epigenetic regulation of gene expression, we performed H3K4me3 ChIP-seq and RNA-seq in breast cancer cells with ASH2L amplification and overexpression following ASH2L knockdown and assessed the biological effects of the suite of genes identified in this manner. We discovered that ASH2L-regulated genes are implicated in cell cycle processes and response to the CDK4/6 inhibitor palbociclib and confirmed these effects in additional breast cancer cell lines. We also discovered that ASH2L regulates expression of another 8p11-p12 amplicon oncogene NSD3, also an epigenome modifier, which has previously been shown to result in overexpression and estrogen-independent activation of ERα. Together, these data establish ASH2L as a breast cancer oncogene and an important component of the 8p11-p12 amplicon that acts as an oncogenic unit in breast cancer.
2024-05-24 | GSE99669 | GEO