Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Gene expression data from patients with colorectal cancer


ABSTRACT: Microarray analyses for the identification of differences in gene expression patterns have increased our understanding of the molecular genetic events in colorectal cancer. We used gene expression analysis data from recurrent and non-recurrent patients with colorectal cancer to identify differentially expressed probes. Tumor tissues were taken from 81 patients with colorectal cancer, rapidly frozen in RNAlater, and isolated using Trizol. Gene expression pro?les were determined using Affymetrix HG-U133 Plus 2.0 GeneChips.We aimed to identify a molecular signature that can reliably identify colorectal cancer patients at high risk for recurrence.

ORGANISM(S): Homo sapiens

SUBMITTER: Lisha Wang 

PROVIDER: E-GEOD-64857 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A molecular signature for the prediction of recurrence in colorectal cancer.

Wang Lisha L   Shen Xiaohan X   Wang Zhimin Z   Xiao Xiuying X   Wei Ping P   Wang Qifeng Q   Ren Fei F   Wang Yiqin Y   Liu Zebing Z   Sheng Weiqi W   Huang Wei W   Zhou Xiaoyan X   Du Xiang X  

Molecular cancer 20150203


<h4>Background</h4>Several clinical and pathological factors have an impact on the prognosis of colorectal cancer (CRC), but they are not yet adequate for risk assessment. We aimed to identify a molecular signature that can reliably identify CRC patients at high risk for recurrence.<h4>Results</h4>Two hundred eighty-one CRC samples (stage II/III) were included in this study. A two-step gene expression profiling study was conducted. First, gene expression measurements from 81 fresh frozen CRC sam  ...[more]

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