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WISP3 is highly expressed in a subset of colorectal carcinomas with a better prognosis

Authors Lu Y, Wang X, Sun X, Feng W, Guo H, Tang C, Anmeideng A, Bao Y

Received 24 September 2015

Accepted for publication 15 November 2015

Published 12 January 2016 Volume 2016:9 Pages 287—293


Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Manfred Beleut

Peer reviewer comments 2

Editor who approved publication: Professor Jianmin Xu

Yongliang Lu,1,* Xiang Wang,2,* Xinrong Sun,2 Wenming Feng,2 Huihui Guo,2 Chengwu Tang,2 Anmei Deng,3 Ying Bao2

1Department of Medicine, Huzhou Teachers College, 2Department of Gastrointestinal Surgery, First Affiliated Hospital, Huzhou Teachers College, The First People’s Hospital of Huzhou, Huzhou, 3Department of Laboratory Diagnostic, Changhai Hospital, Second Military Medical University, Shanghai, People’s Republic of China

*These authors contributed equally to this work

Abstract: Outlier genes with marked overexpression in subsets of cancers like ERBB2 have potential for the identification of gene classifiers and therapeutic targets for the appropriate subpopulation. In this study, using the cancer outlier profile analysis strategy, we identified WNT1-inducible-signaling pathway protein 3 (WISP3) as an outlier gene that is highly expressed in a subset of colorectal cancers (CRCs) from The Cancer Genome Atlas dataset. A meta-cancer outlier profile analysis and immunohistochemistry experiment to validate the outlier expression model of WISP3 in CRC was then performed. Our immunohistochemical results indicated that WISP3 was more frequently seen in the small tumors, and there was a significant association between its overexpression with a good prognosis. Furthermore, in the multivariable model, WISP3 outlier expression retained significance for overall survival. In summary, in this study, we identified an outlier gene WISP3 overexpressed in a subset of CRC having less aggressive characteristics and a better prognosis. We suggest WISP3 may provide more accurate and precise information regarding CRC population classification.

Keywords: subtype, WISP3, outlier, prognosis, microarray

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