Literature DB >> 24150787

Expression and prognostic role of SKIP in human breast carcinoma.

Xiaobing Liu1, Qichao Ni, Junfei Xu, Chenyi Sheng, Qingqing Wang, Jinpeng Chen, Shuyun Yang, Hua Wang.   

Abstract

Ski-interacting protein (SKIP) is a nuclear hormone receptor-interacting cofactor, interactions with the proto-oncogene Ski, appears to modulate a number of signalling pathways involved in control of cell proliferation and differentiation, and may play a critical role in oncogenesis. In the present study, to investigate the potential roles of SKIP in breast cancer, expression patterns, interaction and the correlation with clinical/prognostic factors of SKIP and Ki-67 were examined among patients with breast cancer. Immunohistochemistry and Western blot analysis were performed for SKIP in 85 breast carcinoma samples. The data were correlated with clinicopathological features. The univariate and multivariate survival analyses were also performed to determine their prognostic significance. We found that SKIP was over expressed in breast carcinoma as compared with the adjacent normal tissues. High expression of SKIP was positively associated with histological grade (P = 0.01) and Ki-67 (P = 0.004). Univariate analysis showed that SKIP expression was associated with a poor prognosis (P = 0.006). While in vitro, following release of breast cancer cell lines from serum starvation, the expression of SKIP was up-regulated, whereas p27 was down-regulated. In addition, we employed small interfering RNA (siRNA) technique to knock down SKIP expression and observed it effects on MDA-MB-231 cells growth. SKIP depletion by siRNA inhibited cell proliferation, blocked S phase and decreased cyclin A and cyclin B levels. On the basis of these results, we suggested that SKIP overexpression was involved in the pathogenesis of breast cancer, which might serve as a future target for breast cancer.

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Year:  2013        PMID: 24150787     DOI: 10.1007/s10735-013-9546-z

Source DB:  PubMed          Journal:  J Mol Histol        ISSN: 1567-2379            Impact factor:   2.611


  25 in total

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Authors:  Tulasiram Prathapam; Christian Kühne; Lawrence Banks
Journal:  Nucleic Acids Res       Date:  2002-12-01       Impact factor: 16.971

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Journal:  Genes Dev       Date:  2011-04-01       Impact factor: 11.361

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Journal:  CA Cancer J Clin       Date:  2005 Mar-Apr       Impact factor: 508.702

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Journal:  Cancer Sci       Date:  2009-06-17       Impact factor: 6.716

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Journal:  Cell       Date:  1989-10-20       Impact factor: 41.582

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Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

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Journal:  Ann Surg       Date:  2007-07       Impact factor: 12.969

9.  Redundant ubiquitin ligase activities regulate wee1 degradation and mitotic entry.

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Journal:  Cell Cycle       Date:  2007-08-20       Impact factor: 4.534

10.  Amplification of SKI is a prognostic marker in early colorectal cancer.

Authors:  Martin Buess; Luigi Terracciano; Jürgen Reuter; Pierluigi Ballabeni; Jean-Louis Boulay; Urban Laffer; Urs Metzger; Richard Herrmann; Christoph Rochlitz
Journal:  Neoplasia       Date:  2004 May-Jun       Impact factor: 5.715

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  4 in total

1.  Decreased expression and prognostic role of EHD2 in human breast carcinoma: correlation with E-cadherin.

Authors:  Yuhua Shi; Xiaobing Liu; Yongfang Sun; Dichen Wu; Aifeng Qiu; Haiyan Cheng; Cuigan Wu; Xuebin Wang
Journal:  J Mol Histol       Date:  2015-03-12       Impact factor: 2.611

2.  Downregulation of ubiquitin-specific protease 14 (USP14) inhibits breast cancer cell proliferation and metastasis, but promotes apoptosis.

Authors:  Lianxin Zhu; Shuyun Yang; Song He; Fulin Qiang; Jing Cai; Rong Liu; Changjiang Gu; Zengya Guo; Chen Wang; Wei Zhang; Chunhui Zhang; Yingying Wang
Journal:  J Mol Histol       Date:  2015-12-28       Impact factor: 2.611

3.  TGFβ modulates inflammatory cytokines and growth factors to create premetastatic microenvironment and stimulate lung metastasis.

Authors:  Yiyi Ye; Sheng Liu; Chunyu Wu; Zhenping Sun
Journal:  J Mol Histol       Date:  2015-07-25       Impact factor: 2.611

4.  Identification and validation of key biomarkers for the early diagnosis of diabetic kidney disease.

Authors:  Wei Yu; Ting Wang; Feng Wu; Yiding Zhang; Jin Shang; Zhanzheng Zhao
Journal:  Front Pharmacol       Date:  2022-08-22       Impact factor: 5.988

  4 in total

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