Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

59 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of patient's DCIS-IDC tandem lesions by RNA sequencing analysis

ABSTRACT: Tandem DCIS/IDC are defined as ductal carcicnoma in situ (DCIS) lesions that have concurrent invasive ductal carcinoma (IDC) within the same breast. These are identified radiologically by an area of clustered microcalcifications adjacent to (contiguous with) an invasive mass. Our radiologist (Dr. William P. Smith) has provided us with biopsy cores from each region. One core from each region (DCIS and IDC) has bas been collected and subjected to RNA sequencing for our studies to compare changes from DCIS to IDC in each individual patient. 6 pairs of DCIS-IDC samples were collected, and analysed by RNA sequencing

ORGANISM(S): Homo sapiens

SUBMITTER: Hanan Elsarraj

PROVIDER: E-GEOD-66301 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Gene expression profiling of patient's DCIS-IDC tandem lesions by RNA sequencing analysis

Project description:Tandem DCIS/IDC are defined as ductal carcicnoma in situ (DCIS) lesions that have concurrent invasive ductal carcinoma (IDC) within the same breast. These are identified radiologically by an area of clustered microcalcifications adjacent to (contiguous with) an invasive mass. Our radiologist (Dr. William P. Smith) has provided us with biopsy cores from each region. One core from each region (DCIS and IDC) has bas been collected and subjected to RNA sequencing for our studies to compare changes from DCIS to IDC in each individual patient.

2015-02-26 | GSE66301 | GEO

Transcription profiling of human ductal carcinoma in situ (DCIS) and invasive component (IDC) from 9 breast cancers to identify novel molecular markers characterizing the transition from DCIS to IDC.

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

Identification of copy number alterations associated with the progression of DCIS to Invasive Ductal Carcinoma

2012-09-04 | GSE31892 | GEO

Gene Expression Profiling of matched Ductal Carcinomas in Situ and Invasive Breast Tumors

2006-05-24 | GSE3893 | GEO

Single-Cell Transcriptome Profiling Reveals Intratumoral Heterogeneity and Molecular Features in Breast Cancer

Project description:Ductal carcinoma in situ (DCIS) is a nonobligate precursor of invasive breast cancer. Its biological features, particularly its intratumoral heterogeneity, remain obscure. Moreover, mechanism of lymph node metastasis is unclear. To address this deficiency, we performed single-cell transcriptome profiling of DCIS, invasive ductal carcinoma (IDC) and lymph node metastasis. Single-cell transcriptome analysis revealed that breast cancer exhibits intratumoral heterogeneity at the transcriptional level, defining specific functions, and that DCIS has similar heterogeneity to IDC.

2022-08-02 | GSE195861 | GEO

Transcriptome analysis reveals differences in cell cycle, growth and migration related genes that distinguish fibroblasts derived from pre-invasive and invasive breast cancer.

Project description:As the most common form of pre-invasive breast cancer, ductal carcinoma in situ (DCIS) affects over 50,000 women in the US annually. Despite standardized treatment involving lumpectomy and radiation therapy, up to 25 % of patients with DCIS experience disease recurrence often with invasive ductal carcinoma (IDC), indicating that a subset of patients may be under-treated. As most DCIS cases will not progress to invasion, many patients may experience over-treatment. By understanding the underlying processes associated with DCIS to IDC progression, we can identify new biomarkers to determine which DCIS cases may become invasive and improve treatment for patients. Accumulation of fibroblasts in IDC is associated with disease progression and reduced survival. While fibroblasts have been detected in DCIS, little is understood about their role in DCIS progression.We sought to determine whether DCIS fibroblasts were similar or distinct from normal and IDC fibroblasts at the transcriptome level, fibroblasts underwent transcriptome profilingthrough bulk RNA seq and pathway analysis. DCIS fibroblasts are phenotypically distinct from normal breast and IDC fibroblasts, and play an important role in breast cancer growth, invasion, and recruitment of myeloid cells. These studies provide novel insight into the role of DCIS fibroblasts in breast cancer progression and identify some key biomarkers associated with DCIS progression to IDC, with important clinical implications.

2023-03-31 | GSE228582 | GEO

Identification of copy number alterations associated with the progression of DCIS to Invasive Ductal Carcinoma

Project description:Ductal carcinoma in situ (DCIS) is a non-obligate precursor to invasive ductal carcinoma (IDC). Annotation of the genetic differences between the two lesions may assist in the identification of genes that promote the invasive phenotype. Matched IDC and DCIS showed highly similar copy number profiles (average of 83% of the genome shared) indicating a common clonal orgin although there is evidence that the DCIS continues to evolve in parallel with the co-existing IDC. Four chromosomal regions of loss (3q, 6q, 8p and 11q) and four regions of gain (5q, 16p, 19q and 20) were recurrently affected in IDC but not in DCIS. CCND1 and MYC showed increased amplitude of gain in IDC. One region of loss (17p11.2) was specific to DCIS. 21 cases of synchronous DCIS and IDC were microdissected from FFPE tissue and analysed by molecular inversion probe (MIP) copy number arrays. The arrays were early release OncoScan arrays and the data in this submission are CN values for the ~300,000 probes common to two batches performed. Raw data is retained by Affymetrix.

2012-09-04 | E-GEOD-31892 | biostudies-arrayexpress

Whole genome DASL analysis of tumour epithelial and stromal compartments during breast cancer progression

Project description:Analysis of gene expression changes in tumour epithelium (DCIS and invasive breast cancer) and stroma both immediately surrounding the lesions and more distantly. Total RNA obtained from Formalin Fixed Paraffin Embedded archival material and the individual compartments (stroma and epithelium) compared independently across the samples. Sample abbreviation key: BC = breast cancer DCIS = ductal carcinoma in situ IDC = invasive ductal carcinoma RM = remote metastasis S = stroma NS = near stroma.

2012-05-10 | E-GEOD-35019 | biostudies-arrayexpress

cDNA aCGH study of pure DCIS without invasive tumor, DCIS associated with IDC and its IDC component

Project description:cDNA aCGH study of pure DCIS (breast duct carcinoma in situ) without invasive tumor, DCIS associated with IDC (breast invasive duct carcinoma) and its IDC component 23 patients: 6 pure DCIS without invasive cancer and no history of invasive cancer, 17 DCIS associated with IDC. Out of the latter 1 tumor had only enough DCIS (#16) for aCGH and one - IDC (#23) Keywords: Comparative clinical study

2009-02-01 | GSE10197 | GEO

Ductal Carcinoma Progression

Project description:To obtain insight into the molecular basis of ductal carcinoma in situ (DCIS) and its progression by infiltrating surrounding tissue, we have performed cellular-based gene expression analysis of pure DCIS and DCIS with co-existing invasive ductal carcinoma (IDC) and compared the histological and molecular aspects between these morphologically identical lesions seeking to find key genes involved in DCIS progression. For that, 30 samples were evaluated, 4 non-neoplastic (N), 5 pure DCIS, 11 DCIS with co-existing IDC (DCIS-IDC) and 10 IDC. All samples were laser capture microdissected and RNAs were amplified using T7-based methodology. Microarray technology was performed using a customized cDNA platform containing 4,608 human genes. To classify the 4 sample groups according to molecular similarity we performed comparisons of their general expression pattern using ANOVA test (pFDR<0,01) followed by Tukey´s test (fold>l2l). Among the 4 sample groups, as expected, non-neoplastic cells reported the most distinct gene expression pattern. However, among the 3 groups of neoplastic cells, in contrast to morphological aspects, pure DCIS had the most distinct expression profile when compared to the other lesions: DCIS-IDC and IDC. Additionally, by comparison among pure DCIS, DCIS-IDC and N, we identified 147 genes potentially involved in DCIS progression. Unsupervised hierarchical cluster based on expression profile of this gene-set could discriminate DCIS-IDC from 60% of pure DCIS samples. Keywords: disease state analysis

2008-04-05 | GSE11042 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data