Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic analysis of pretreated rectal cancer biopsies and association to the tumor regression score.

ABSTRACT: To determine a preditcive marker of treatment resistance for rectal cancer, we have employed a microarray gene profiling analysis on pretreated rectal biopsies and compared with their response to therapy as defined by the American Joint Commission on Cancer (AJCC) and the American College of Pathologists.

ORGANISM(S): Homo sapiens

PROVIDER: GSE133057 | GEO | 2019/11/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Transcriptomic analysis of pretreated rectal cancer biopsies and association to the tumor regression score.

Project description:Transcriptomic analysis of pretreated rectal cancer biopsies and association to the tumor regression score.

| PRJNA549937 | ENA

Human rectal adenoma (8 cases) vs. rectal carcinoma (8 cases)

Project description:Genomic profiling of human rectal adenoma and carcinoma by array-based comparative genomic hybridization Two group experiment, rectal adenoma vs. rectal carcinoma. Biological replicates: 8 adenomas vs. 8 carcinomas

2011-12-20 | E-GEOD-34472 | biostudies-arrayexpress

Early-onset sporadic rectal cancer : Wnt- vs. Wnt+ rectal tumor [GE]

Project description:Transcriptional profiling of early-onset sporadic rectal adenocarcinoma, comparing Wnt- and Wnt+ rectal tumor. Goal was to determine differentially expressed genes between them based on global gene expression.

2017-10-30 | GSE78250 | GEO

Early-onset sporadic rectal cancer : Wnt- vs. Wnt+ rectal tumor [CGH]

Project description:Copy number profiling of early-onset sporadic rectal adenocarcinoma, comparing Wnt- and Wnt+ rectal tumor. Goal was to determine differentially altered genes between them based on global copy no.

2017-10-30 | GSE79328 | GEO

Human rectal adenoma (8 cases) vs. rectal carcinoma (8 cases)

Project description:Genomic profiling of human rectal adenoma and carcinoma by array-based comparative genomic hybridization

2011-12-20 | GSE34472 | GEO

The rectal cancer microRNAome - a comprehensive comparative analysis of microRNA expression in rectal cancer and matched normal mucosa

Project description:Purpose: MicroRNAs play a prominent role in a variety of physiological and pathological biological processes, including cancer. For rectal cancers, only limited data are available on microRNA expression profiles, while the underlying genomic and transcriptomic aberrations have been firmly established. We therefore aimed to comprehensively map the microRNA expression patterns of this disease. Experimental design: Tumor biopsies and corresponding matched mucosa samples were prospectively collected from 72 patients (68 tumors and 70 normal mucosa) with locally advanced rectal cancers. Total RNA was extracted, and tumor and mucosa microRNA expression profiles were subsequently established for all patients. The expression of selected microRNAs was validated using semi-quantitative real-time PCR. Results: Forty-nine microRNAs were significantly differentially expressed (log2-fold difference >0.5 and P<0.001) between rectal cancer and normal rectal mucosa. The predicted targets for the identified microRNAs were enriched for the following KEGG pathways: Wnt, TGF-beta, mTOR, insulin, MAPK, and ErbB signaling. Between rectal tumor and normal tissue, miR-492, miR-542-5p, miR-584, miR-483-5p, miR-144, miR-2110, miR-652*, miR-375, miR-147b, miR-148a, miR-190, miR-26a/b, and miR-338-3p were found to be differentially expressed. Of clinical impact, miR-135b expression correlated significantly with overall survival that could be validated in a larger multicenter patient set (n=94). Conclusion: The comprehensive analysis of the rectal cancer microRNAome uncovered novel microRNAs and pathways associated with rectal cancer. This information contributes to a detailed view of rectal cancer. The identification and validation of miR-135b will help to identify novel molecular targets and pathways for therapeutic exploitation. Paired samples from rectal tumor and matched normal samples. Included are also 2 technical replicates.

2012-10-05 | E-GEOD-38389 | biostudies-arrayexpress

The rectal cancer microRNAome - a comprehensive comparative analysis of microRNA expression in rectal cancer and matched normal mucosa

2012-10-05 | GSE38389 | GEO

Rectal Cancer Cells and Radiation-sensitivity

Project description:Biopsy specimens were collected from rectal cancer before starting preoperative radiotherapy.The expression profiles were determined using Affymetrix Human Genome U95 version 2 arrays.Comparison between the sample groups allow to identify a set of discriminating genes that can be used for characterization of responders and nonresponders to preoperative radiotherapy in rectal cancer. Keywords: repeat

2006-03-29 | GSE3493 | GEO

Early-onset sporadic rectal cancer : Wnt- vs. Wnt+ rectal tumor

Project description:Early-onset sporadic rectal cancer : Wnt- vs. Wnt+ rectal tumor

| PRJNA315517 | ENA

Gene expression in rectal epithelia of cystic fibrosis patients

Project description:Gene expression profiles were recorded from rectal suction specimens of Cystic Fibrosis (CF) patients, carrying the CF-specific D508 mutated CFTR-allele. These profiles were compared with gene expression profiles from rectal suction specimens of non-CF subjects (control). We used Affymetrix GeneChip HG-U133A microarrays to record the gene expression profile of 16 CF and 13 non-CF individuals. Rectal suction specimens representing rectal mucosal epithelia were collected from CF patients and non-CF individuals. Biopsies were analyzed for residual function using ICM and total RNA was isolation immediately using the Qiagen RNeasy protocol with on column DNA digestion. About 1-5 Âµg RNA were obtained from each individual. Integrity of total RNA samples was monitored by gel-electrophoresis before cDNA synthesis. Labeled cRNA synthesis and hybridization was performed following standard protocols.

2013-11-28 | E-GEOD-15568 | biostudies-arrayexpress

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