Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA94139 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We describe a miRNA profiling analysis of matched ductal carcinoma in situ and invasive duct carcinoma components of FFPE breast carcinomas with the purpose to identify potential prognostic markers
2016-12-01 | GSE39567 | GEO
Project description:we describe a mRNA profiling analysis of matched ductal carcinoma in situ and invasive duct carcinoma components of FFPE breast carcinomas with the purpose to identify potential prognostic markers
2016-08-01 | GSE72205 | GEO
Project description:we describe a mRNA profiling analysis of matched ductal carcinoma in situ and invasive duct carcinoma components of FFPE breast carcinomas with the purpose to identify potential prognostic markers mRNA extracted from 15 matched DCIS/IDC and 14 pure DCIS preparations was profiled using Illumina DASL platform
2016-08-01 | E-GEOD-72205 | 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: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:Invasive lobular and ductal carcinomas of the breast
| PRJNA94235 | ENA
Project description:This SuperSeries is composed of the following subset Series: GSE41194: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 1) GSE41196: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 2) GSE41197: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 3) GSE41198: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 4 stroma) GSE41227: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 4 Epithelial) Refer to individual Series
2012-09-29 | E-GEOD-41228 | biostudies-arrayexpress
Project description:This is a matched-pair analysis of ductal carcinoma in situ (DCIS) and invasive component (IDC) of nine breast ductal carcinoma to identify novel molecular markers characterizing the transition from DCIS to IDC for a better understanding of its molecular biology.
2007-10-02 | E-GEOD-3893 | biostudies-arrayexpress
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
Project description:This SuperSeries is composed of the following subset Series: GSE29173: MicroRNA sequence and expression analysis in breast tumors by deep sequencing [miRNA sequence data] GSE29174: MicroRNA sequence and expression analysis in breast tumors by deep sequencing [mRNA expression array data] 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. Refer to individual Series
2011-06-07 | E-GEOD-28884 | biostudies-arrayexpress