Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Prognostic significance of overexpression of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer [copy number analysis]      
dateReleased:
11-21-2015
description:
Introduction: The potential of expression profiling using microarray analysis as a tool to predict the prognosis for different types of cancer has been realized. This study aimed to identify a novel biomarker for colorectal cancer (CRC). Experimental design: The expression profiles of cancer cells in 153 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells, especially in patients with distant metastases, was a prerequisite to select candidate genes. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study and investigated the relationship between protein expression and clinicopathologic features in 271 CRC patients. Results: Using microarray analysis, we identified 11 candidate genes related to distant metastases in CRC patients. Among these genes, Traf2- and Nck- interacting kinase (TNIK) was known to be associated with aggressiveness in CRC through Wnt signaling. Absence of overexpression of TNIK protein was associated with significantly better overall survival (p < 0.001) and relapse-free survival (p < 0.001). Moreover, overexpression of TNIK protein was an independent risk factor for CRC recurrence (p = 0.009). Conclusion: Overexpression of TNIK might be a predictive biomarker of CRC recurrence. Copy number analysis was performed using LCM samples of 125 colorectal cancer patients by GeneChip Human Mapping 250k Sty arrays. Non-tumor tissues obtained from 47 patients were used as unpaired reference samples.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-64257
refinement:
raw
alternateIdentifiers:
64257
keywords:
functional genomics
dateModified:
11-29-2015
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-AFFY-72
name:
Affymetrix GeneChip Human Mapping 250K Array Sty [Mapping250K_Sty]
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-64257/E-GEOD-64257.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-64257/E-GEOD-64257.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64257
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

Feedback?

If you are having problems using our tools, or if you would just like to send us some feedback, please post your questions on GitHub.