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Loss of CDC14B Expression in Clear Cell Renal Cell Carcinoma Meta-Analysis of Microarray Data Sets

Authors
Kim, YounghyeChoi, Jung-WooLee, Ju-HanKim, Young-Sik
Issue Date
4월-2014
Publisher
OXFORD UNIV PRESS INC
Keywords
Renal cell carcinoma; Mete-analysis; Microarray; CDC14B
Citation
AMERICAN JOURNAL OF CLINICAL PATHOLOGY, v.141, no.4, pp.551 - 558
Indexed
SCIE
SCOPUS
Journal Title
AMERICAN JOURNAL OF CLINICAL PATHOLOGY
Volume
141
Number
4
Start Page
551
End Page
558
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/98882
DOI
10.1309/AJCP4PE4JPSRGBQS
ISSN
0002-9173
Abstract
Objectives: To discover significant differentially expressed genes (DEGs) in clear cell renal cell carcinoma (ccRCC) that might be unidentified by single microarray analysis. Methods: The effect sizes of five ccRCC microarray data sets were combined using a random-effects model. The most downregulated gene was validated in paired 80 ccRCC tissues by immunohistochemistry. Results: CDC14B was the most downregulated gene among 1,761 DEGs. CDC14B was strongly expressed in the apical proximal tubules in the nonneoplastic tissues, while it was completely absent in 10 (12.5%) of 80 or downregulated in 70 (87.5%) of 80 ccRCC cases. The complete loss of CDC14B correlated with high T stage (P = .038), advanced TNM stage (P = .027), tumor recurrence (P = .038), and shorter recurrence-free survival (P = .046) compared with the partial loss of CDC14B. Conclusions: Microarray meta-analysis is a useful tool for pathologists. CDC14B expression is downregulated in ccRCC, suggesting its role in renal carcinogenesis.
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