Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Gene expression profiling of colorectal cancers to understand molecular changes and clinicopathological features


ABSTRACT: Gene expression was analyzed in terms of canonical molecular changes and clinicopathological features to elucidate alternative or subordinate pathways during colorectal tumorigenesis and tumor growth. Eighty-four sporadic colorectal cancer patients, standardized by tumor location, were consecutively enrolled. Representative molecular changes including APC, TP53, Wnt, RAF, and mismatch repair defect (MMR) were recorded for each sample. Keywords: disease state analysis; sub-type analysis within colorectal cancers 84 samples from colorectal patients were analyzed. Paired tumor and adjacent normal tissues from the same patient were used for hybridization onto custom-made, 21k dual channel cDNA arrays. We prepared a similar number of samples from each of the three tumor locations (ascending 27, descending 29, and rectum 28) and recorded for each sample important molecular changes such as APC, TP53, RAF, WNT, and MMR mutations.

ORGANISM(S): Homo sapiens

SUBMITTER: Seon-Young Kim 

PROVIDER: E-GEOD-10982 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Gene expression profiling: canonical molecular changes and clinicopathological features in sporadic colorectal cancers.

Kim Jin-Cheon JC   Kim Seon-Young SY   Roh Seon-Ae SA   Cho Dong-Hyung DH   Kim Dae-Dong DD   Kim Jeong-Hyun JH   Kim Yong-Sung YS  

World journal of gastroenterology 20081101 43


<h4>Aim</h4>To investigate alternative or subordinate pathways involved in colorectal tumorigenesis and tumor growth, possibly determining at-risk populations and predicting responses to treatment.<h4>Methods</h4>Using microarray gene-expression analysis, we analyzed patterns of gene expression relative to canonical molecular changes and clinicopathological features in 84 sporadic colorectal cancer patients, standardized by tumor location. Subsets of differentially expressed genes were confirmed  ...[more]

Similar Datasets

2009-03-01 | GSE10982 | GEO
2010-06-24 | E-GEOD-17055 | biostudies-arrayexpress
2011-11-15 | E-GEOD-28975 | biostudies-arrayexpress
2010-07-31 | E-GEOD-23342 | biostudies-arrayexpress
2013-04-01 | E-MEXP-3849 | biostudies-arrayexpress
2010-03-06 | GSE20647 | GEO
2015-01-18 | E-GEOD-57965 | biostudies-arrayexpress
2022-12-31 | GSE198757 | GEO
2013-02-11 | E-GEOD-29586 | biostudies-arrayexpress
| phs001111 | dbGaP