Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-5764
PROVIDER: PRJNA97101 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The aim of our study was to identify gene expression profiles of ductal and lobular carcinomas in relation to normal ductal and lobular cells. We examined ten mastectomy specimens from postmenopausal breast cancer patients. Ductal and lobular tumor and normal cells were microdissected from cryosections. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. GCOS pairwise comparison algorithm and rank products have identified multiple genes that are differentially expressed in comparisons between ductal and lobular tumor and normal cell types. The results suggest that these genes are involved in epithelial-mesenchymal transition, TGFbeta and Wnt signaling. These changes are present in both tumor types but appear to be more prominent in lobular carcinomas. Ten surgical specimens obtained by mastectomy from postmenopausal patients with invasive ductal (IDC) and lobular breast (ILC) carcinomas were investigated. Of these, 5 were IDCs and 5 were ILCs. Tumor and normal tissues from the same mammary gland were identified by an experienced pathologist, snap-frozen in liquid nitrogen and stored at -80ºC for further analysis. Microdissection, RNA isolation, amplification, labeling and microarray analysis are described in sample definitions. Samples from particular cell types (normal ductal, normal lobular, tumor ductal, tumor lobular - 10, 10, 5, 5 samples, respectively) were considered as biological replicates and were compared in between.
2007-11-01 | E-GEOD-5764 | biostudies-arrayexpress
Project description:The aim of our study was to identify gene expression profiles of ductal and lobular carcinomas in relation to normal ductal and lobular cells. We examined ten mastectomy specimens from postmenopausal breast cancer patients. Ductal and lobular tumor and normal cells were microdissected from cryosections. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. GCOS pairwise comparison algorithm and rank products have identified multiple genes that are differentially expressed in comparisons between ductal and lobular tumor and normal cell types. The results suggest that these genes are involved in epithelial-mesenchymal transition, TGFbeta and Wnt signaling. These changes are present in both tumor types but appear to be more prominent in lobular carcinomas. Keywords: cell type comparison
2007-03-16 | GSE5764 | GEO
Project description:Invasive lobular and ductal carcinomas of the breast
| PRJNA94235 | ENA
Project description:Transcription profiling of human lobular and ductal invasive carcinomas vs normal breast tissue from the same patient to identify gene expression profiles of ductal and lobular carcinomas in relation to normal ductal and lobular cells
2015-07-27 | E-GEOD-5764 | ExpressionAtlas
Project description:<p>This study comprises prospectively accrued, microdissected fresh frozen samples of multifocal lobular carcinoma <i>in situ</i> (LCIS), ductal carcinoma <i>in situ</i> (DCIS), invasive lobular carcinoma and invasive ductal carcinoma from patients undergoing prophylactic or therapeutic mastectomies after a diagnosis on LCIS diagnosed and managed at Memorial Sloan Kettering Cancer Center (MSKCC). Microdissected samples were subjected to paired-end whole exome sequencing on an Illumina HiSeq 2000. The data generated were used to define the landscape of somatic genetic alterations of LCIS, DCIS, invasive lobular carcinoma and invasive ductal carcinoma, to define clonal relatedness of these lesions and to investigate the clonal shifts in the progression from <i>in situ</i> to invasive breast cancer.</p>
| phs001006 | dbGaP
Project description:Gene expression array analysis on a series of ten different histological special types of invasive breast carcinomas (tubular, micropapillary, mucinous A, mucinous B, endocrine, apocrine, metaplastic, medullary, adenoid cystic, invasive ductal carcinoma with osteoclastic giant cells) and invasive lobular carcinoma.<br><br>Note: this experiment was reloaded into ArrayExpress in August 2010 to include mappings between raw and processed data files. It now includes additional dye-swap combined normalized data files.
2010-08-20 | E-NCMF-3 | biostudies-arrayexpress
Project description:Histologically normal breast epithelium and stroma were laser capture microdissected from breast reduction specimens and from specimens of invasive ductal carcinoma. The objective of the study was to compare normal reduction tissues to tissues adjacent to I.D.C. to determine whether adjacent normal tissues contained expression profiles correlated with characteristics of the primary tumor and to identify markers of normal epithelium and stroma. Keywords: disease state analysis
2006-10-20 | GSE4823 | GEO
Project description:Expression profiling of papillary carcinoma of the breast and grade- and ER-matched cases of invasive ductal breast cancer To identify differential expression between papillary carcinomas of the breast and grade- and ER-matched invasive ductal breast cancers, we performed expression profiling of 16 cases of papillary carcinomas of the breast and 16 cases of grade- and ER-matched invasive ducatal carcinoma of no special subtype. We further reviewed the papillary carcinomas of the breast and classified them into 3 subtypes, namely, invasive papillary carcinoma, encapsulated papillary carcinoma and solid papillary carcinoma. We also performed a hypothesis-generating comparison of differential expression between the 3 subtypes of papillary carcinoma of the breast. Expression profiling of 16 cases of papillary carcinioma of the brest and 16 cases of invasive ducal carcinomas using the Illumina HT-12 v4 arrays
2014-06-20 | E-GEOD-55639 | biostudies-arrayexpress
Project description:Expression profiling of papillary carcinoma of the breast and grade- and ER-matched cases of invasive ductal breast cancer To identify differential expression between papillary carcinomas of the breast and grade- and ER-matched invasive ductal breast cancers, we performed expression profiling of 16 cases of papillary carcinomas of the breast and 16 cases of grade- and ER-matched invasive ducatal carcinoma of no special subtype. We further reviewed the papillary carcinomas of the breast and classified them into 3 subtypes, namely, invasive papillary carcinoma, encapsulated papillary carcinoma and solid papillary carcinoma. We also performed a hypothesis-generating comparison of differential expression between the 3 subtypes of papillary carcinoma of the breast.
2014-06-20 | GSE55639 | GEO
Project description:MicroRNAs (miRNAs) regulate many genes critical for tumorigenesis. We profiled miRNAs from 11 normal breast tissues, 17 non-invasive, 151 invasive breast carcinomas, and 6 cell lines by in-house-developed barcoded Solexa sequencing. miRNAs were organized in genomic clusters representing promoter-controlled miRNA expression and sequence families representing seed-sequence-dependent miRNA-target regulation. Unsupervised clustering of samples by miRNA sequence families best reflected the clustering based on mRNA expression available for this sample set. Clustering and comparative analysis of miRNA read frequencies showed that normal breast samples were separated from most non-invasive ductal carcinoma in situ and invasive carcinomas by increased miR-21 (the most abundant miRNA in carcinomas) and multiple decreased miRNA families (including mir-98/let-7), with most miRNA changes apparent already in the non-invasive carcinomas. In addition, patients that went on to develop metastasis demonstrated increased expression of mir-423, and triple negative breast carcinomas were most distinct from other tumor subtypes due to up-regulation of the mir-17~92 cluster. However, absolute miRNA levels between normal breast and carcinomas did not reveal any significant differences. We also discovered two polymorphic nucleotide variations among the more abundant miRNAs miR-181a (T19G) and miR-185 (T16G), but we did not identify nucleotide variations expected for classical tumor suppressor function associated with miRNAs. The differentiation of tumor subtypes and prediction of metastasis based on miRNA levels is statistically possible, but is not driven by deregulation of abundant miRNAs, implicating far fewer miRNAs in tumorigenic processes than previously suggested. mRNA profiles for 161 normal breast and invasive breast carcinomas using NKI Operon V3 arrays; These samples have matched entries for miRNA profiles also included in this GEO submission.
2011-06-07 | E-GEOD-29174 | biostudies-arrayexpress