Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Prognostic significance of overexpression of Traf2- and Nck- interacting kinase (TNIK) in colorectal cancer [gene expression]


ABSTRACT: 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. Gene expression profiles for 125 cancer tissues from colorectal cancer patients were measured by Affymetrix HG-U133 Plus 2.0 arrays. Normalization was performed by robust multi-array average (RMA) method under R 2.12.1 statistical software with affy package from BioConductor. The normalized gene expression levels were presented as log2-transformed values by RMA.

ORGANISM(S): Homo sapiens

SUBMITTER: Kaoru Mogushi 

PROVIDER: E-GEOD-64256 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications


<h4>Background</h4>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).<h4>Methods</h4>The expression profiles of cancer cells in 152 patients with stage I-III CRC were examined using microarray analysis. High expression in CRC cells, especially in patients with distant recurrences, was a prerequisite to select candidate genes.  ...[more]

Similar Datasets

2015-11-21 | E-GEOD-64257 | biostudies-arrayexpress
2015-11-21 | GSE64256 | GEO
2015-11-21 | GSE64257 | GEO
2016-07-22 | E-GEOD-71222 | biostudies-arrayexpress
2016-07-22 | GSE71222 | GEO
2012-10-16 | E-GEOD-27910 | biostudies-arrayexpress
2012-10-16 | E-GEOD-27854 | biostudies-arrayexpress
2012-10-16 | GSE27910 | GEO
2012-10-16 | GSE27854 | GEO
2011-02-28 | E-GEOD-21510 | biostudies-arrayexpress