Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA323567 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression data from early stage CRC patients' tumors [NanoString-Test]
| PRJNA323566 | ENA
Project description:Expression data from early stage CRC patients' tumors [Affymetrix]
| PRJNA323569 | ENA
Project description:Expression data from early stage CRC patients' tumors [Agilent]
| PRJNA323568 | ENA
Project description:Expression data from healthy controls and early stage CRC patient's tumor
| PRJNA103039 | ENA
Project description:Metastasis is the major cause of cancer mortality. Up to 25% of early stage sporadic colorectal cancer (CRC) patients succumb to metastasis after curative surgery. We used microarrays to detail gene expression and identified a metastasis-prone signature for early stage CRC. Keywords: RNA expression Tumors from age- and ethnicity-matched 70 patients and biopsies from 12 healthy controls were used. We aimed to find a metastasis-prone signature for early stage CRC by genome-wide expression profiling of age- and ethnicity-matched patients and healthy controls using the Affymetrix U133 Plus 2 array.
2010-02-15 | E-GEOD-9348 | biostudies-arrayexpress
Project description:The prognosis of colorectal cancer (CRC) stage II and III patients is still a challenge due to the difficulties of finding robust biomarkers and assays. The majority of published gene signatures of CRC have been generated on frozen colorectal tissues. Because collection of fresh frozen tissues is not routine and the quantity and quality of RNA derived from formalin-fixed paraffin-embedded (FFPE) tissues is vastly inferior to that derived from fresh frozen tissue, a clinical test for improving staging of colon cancer will need to be designed for FFPE tissues in order to be widely applicable. We have designed a custom Nanostring nCounter assay for quantitative assessment of expression of 414 gene elements consisting of multiple published gene signatures for colon cancer prognosis, and systematically compared the gene expression quantification between nCounter data from FFPE and Affymetrix microarray array data from matched frozen tissues using 414 genes. For microarray studies, representative sections of fresh tissue specimens were flash frozen in liquid nitrogen and stored at â80°C until RNA isolation. RNA was purified from tissue sections containing >80% epithelial tumor tissue using RNeasy (QIAGEN, Valencia, CA) according to manufacturerâs instructions. Samples were hybridized to Affymetrix arrays Human Genome U133 Plus 2.0 GeneChip Expression Arrays, Santa Clara, CA). The samples included four healthy control patient tissues, 12 stage I, 17 stage II, 20 stage III and 15 stage IV CRC patient tissues. Please note that only the *matched.csv files containing matched 414 genes' microarray and nanostring data are provided without the nanostring experimental descriptions. The matching samples between GSE62932 and the Nanostring study are indicated in the matching_samples.txt.
2015-10-27 | E-GEOD-62932 | biostudies-arrayexpress
Project description: Not available
| S-EPMC2531291 | biostudies-literature
Project description:CONTEXT: BRAF V600E mutation (BRAF-mut.) confers aggressiveness in papillary thyroid carcinoma, but unidentified genomic abnormalities may be required for full phenotypic expression. OBJECTIVE: To perform deep sequencing to identify genes differentially expressed between BRAF-mut. and BRAF-wild-type (BRAF-WT) tumors, and to compare to patient clinical status. DESIGN: BRAF-mut. and BRAF-WT tumors were identified in patients with T1N0 and with T23N1 tumors. Expression levels of genes were determined from RNA sequencing (RNA-Seq) data and fusion transcripts were detected. NanoString was used to validate the RNA-Seq data for immune genes. SETTING: Patients were seen at two sites of a major referral medical center. PATIENTS: Twenty patients were studied. BRAF-mut. patients included 9 women, 3 men; 9 were TNM stage I and 3 were stage III; 3 (25%) had lymphocytic thyroiditis. BRAF-WT included 5 women; 3 men; all were stage I; 5 (62.5%) had lymphocytic thyroiditis. RESULTS: 560 of 13,085 genes were differentially expressed by RNA-Seq, and MetaCore analysis identified 55 immune function genes that were differentially expressed as a function of BRAF mutational status. Immune function genes were broadly underexpressed in BRAF-mut. tumors, with only 4 genes (HLA-G, CXCL14, TIMP1, IL1RAP) more highly expressed. NanoString validated the RNA Seq data for immune genes. Eleven high confidence fusion transcripts were detected, four being inter-chromosomal and seven intra-chromosomal. CONCLUSION: BRAF-mut. papillary thyroid cancers have less expression of immune and inflammatory response genes than BRAF-WT tumors. Thirteen of 20 (65%) tumors had between one and three fusion transcripts. Functional studies will be required to determine the potential role of the newly identified genomic abnormalities in contributing to the aggressiveness of BRAF-mut. and wild-type tumors. RNA-seq was performed on 20 thyroid carcinoma tumors
2015-07-01 | E-GEOD-48953 | biostudies-arrayexpress
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO