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Title 

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

 

대장암의 유전자 발현 프로화일

Authors 

J C KimSeon-Young KimS A RohD H ChoD D KimJ H KimYong Sung Kim

Publisher 

Baishideng Publishing Group Co. Limited

Issue Date 

2008

Citation 

World Journal of Gastroenterology, vol. 14, no. 42, pp. 6662-6672

Keywords 

colorectal adenocarcinomasgene expressionprofilingsporadictumorigenesisangiogenesis inhibitorbrain specific angiogenesis inhibitor 2cancer invasioncolorectal cancergene expression profiling

Abstract 

Aim: To investigate alternative or subordinate pathways involved in colorectal tumorigenesis and tumor growth, possibly determining at-risk populations and predicting responses to treatment. Methods: 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 by real-time reverse-transcript polymerase chain reaction (RT-PCR). Results: The largest number of genes identified as being differentially expressed was by tumor location, and the next largest number by lymphovascular or neural invasion of tumor cells and by mismatch repair (MMR) defects. Amongst biological processes, the immune response was significantly implicated in entire molecular changes observed during colorectal tumorigenesis (P < 0.001). Amongst 47 differentially expressed genes, seven (PISD, NIBP, BAI2, STOML1, MRPL21, MRPL16, and MKKS) were newly found to correlate with tumorigenesis and tumor growth. Most location-associated molecular changes had distinct effects on gene expression, but the effects of the latter were sometimes contradictory. Conclusion: We show that several differentially expressed genes were associated with canonical molecular changes in sporadic colorectal cancers, possibly constituting alternative or subordinate pathways of tumorigenesis. As tumor location was the dominant factor influencing differential gene expression, location-specific analysis may identify location-associated pathways and enhance the accuracy of class prediction.

ISSN 

1007-9327

Link 

http://dx.doi.org/10.3748/wjg.14.6662

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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