Integrating Bioinformatics and Clinicopathological Research of Gastrointestinal Stromal Tumors: Identification of Aurora Kinase A as a Poor Risk Marker View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-10

AUTHORS

Chueh-Chuan Yen, Chun-Nan Yeh, Chi-Tung Cheng, Shih-Ming Jung, Shih-Chiang Huang, Ting-Wei Chang, Yi-Yin Jan, Cheng-Hwai Tzeng, Ta-Chung Chao, Yeng-Yang Chen, Ching-Yao Yang, Ching-Liang Ho, Jonathan A. Fletcher

ABSTRACT

BACKGROUND: For completely resected primary gastrointestinal stromal tumors (GISTs), mitotic rate, tumor size, and tumor location are important risk factors for recurrence. However, molecular markers for recurrence are still lacking. METHODS: We reanalyzed GIST gene expression profile GSE8167 available from the Gene Expression Omnibus (GEO) and confirmed the prognostic influence of one selected gene, aurora kinase A (AURKA), in another cohort of 142 patients using immunohistochemistry (IHC). RESULTS: Thirty-two cases in GSE8167 were classified into two risk groups with distinct recurrence-free survival (RFS) and expression profiles using modified criteria of Miettinen et al. from the Armed Forces Institute of Pathology (AFIP-Miettinen). AURKA was among the 19 genes common to the top 50 features of the high-risk phenotype and a 67-gene signature called the complexity index in sarcomas. AURKA was significantly overexpressed in the high-risk group, and patients with high AURKA expression had significantly worse RFS than those with low expression. In the IHC-validated cohort, AURKA expression was significantly higher in nongastric tumors than in gastric tumors and was significantly correlated with AFIP-Miettinen risk group. Univariate analysis showed that RFS was significantly influenced by tumor size, mitotic count, AFIP-Miettinen risk group classification, and AURKA expression. However, only tumor size (P = 0.017), mitotic count (P = 0.007), and AURKA expression (P = 0.039) were identified as independent unfavorable prognostic factors for RFS in multivariate analysis. CONCLUSIONS: By integrating bioinformatics and clinicopathological studies, AURKA was identified as a marker for high-risk GIST. More... »

PAGES

3491-3499

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1245/s10434-012-2389-0

DOI

http://dx.doi.org/10.1245/s10434-012-2389-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020693117

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22588468


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