Literature DB >> 24943686

Prognosis value of mitotic kinase Aurora-A for primary duodenal adenocarcinoma.

Jie Chen1, Qu Lin, Jing-Yun Wen, Xing Li, Xiao-Kun Ma, Xin-Juan Fan, Qin-Hua Cao, Min Dong, Li Wei, Zhan-Hong Chen, Xiao-Yun Li, Tian-Tian Wang, Quentin Liu, Xiang-Bo Wan, Yan-Fang Xing, Xiang-Yuan Wu.   

Abstract

Others and we have demonstrated that hypoxia-inducible factor 1α (HIF-1α) and transcriptionally upregulated Aurora-A are required for disease progression in several tumors. We investigated the clinicopathological value of HIF-1α and Aurora-A in primary duodenal adenocarcinoma (PDA). Using immunohistochemistry, we evaluated Aurora-A and HIF-1α expression semiquantitatively in 140 PDA cases. There were 76 cases from one institute that formed the training set; 64 cases from another two institutes were used as the testing set to validate the prognostic value of Aurora-A and HIF-1α expression. Aurora-A expression was high or sufficient in the tumor zone, whereas expression was low in the adjacent normal epithelia. High Aurora-A expression, identified using the training set receiver operator characteristic (ROC) analysis-generated cutoff score, predicted poorer overall survival both in the testing set (18.0 vs. 45.1 %, P = 0.001) and training set (23.1 vs. 53.9 %, P = 0.011). Multivariate Cox regression confirmed that Aurora-A was an independent prognostic factor. Contrary to previous studies, we did not detect any correlation between Aurora-A and HIF-1α. Survival analysis showed that HIF-1α level was not correlated with patient outcome (P = 0.466). Activation of Aurora-A, an independent negative prognostic biomarker, might be used to identify particular PDA patients for more selective therapy.

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Year:  2014        PMID: 24943686     DOI: 10.1007/s13277-014-2215-3

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  42 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-03       Impact factor: 11.205

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Authors:  Shou-Yen Kao; Yu-Ping Chen; Hsi-Feng Tu; Chung-Ji Liu; Ann-How Yu; Cheng-Hsien Wu; Kuo-Wei Chang
Journal:  J Pathol       Date:  2010-09       Impact factor: 7.996

3.  PHLDA1 is a crucial negative regulator and effector of Aurora A kinase in breast cancer.

Authors:  Emmanuel O Johnson; Kuei-Hua Chang; Yolanda de Pablo; Soumitra Ghosh; Rutika Mehta; Sunil Badve; Kavita Shah
Journal:  J Cell Sci       Date:  2011-08-15       Impact factor: 5.285

4.  Studies of the HER-2/neu proto-oncogene in human breast and ovarian cancer.

Authors:  D J Slamon; W Godolphin; L A Jones; J A Holt; S G Wong; D E Keith; W J Levin; S G Stuart; J Udove; A Ullrich
Journal:  Science       Date:  1989-05-12       Impact factor: 47.728

5.  Phase I assessment of new mechanism-based pharmacodynamic biomarkers for MLN8054, a small-molecule inhibitor of Aurora A kinase.

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Journal:  Cancer Res       Date:  2010-12-10       Impact factor: 12.701

6.  Overexpression of aurora kinase A in mouse mammary epithelium induces genetic instability preceding mammary tumor formation.

Authors:  X Wang; Y-X Zhou; W Qiao; Y Tominaga; M Ouchi; T Ouchi; C-X Deng
Journal:  Oncogene       Date:  2006-05-22       Impact factor: 9.867

7.  Transcriptional regulation of serine/threonine kinase-15 (STK15) expression by hypoxia and HIF-1.

Authors:  Alexandra Klein; Daniela Flügel; Thomas Kietzmann
Journal:  Mol Biol Cell       Date:  2008-06-18       Impact factor: 4.138

8.  Clinical significance of HER-2/neu oncogene amplification in primary breast cancer. The South Australian Breast Cancer Study Group.

Authors:  R Seshadri; F A Firgaira; D J Horsfall; K McCaul; V Setlur; P Kitchen
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9.  Her-2/neu expression in node-negative breast cancer: direct tissue quantitation by computerized image analysis and association of overexpression with increased risk of recurrent disease.

Authors:  M F Press; M C Pike; V R Chazin; G Hung; J A Udove; M Markowicz; J Danyluk; W Godolphin; M Sliwkowski; R Akita
Journal:  Cancer Res       Date:  1993-10-15       Impact factor: 12.701

10.  Targeting Aurora kinases for the treatment of prostate cancer.

Authors:  Edmund Chun Yu Lee; Anna Frolov; Rile Li; Gustavo Ayala; Norman M Greenberg
Journal:  Cancer Res       Date:  2006-05-15       Impact factor: 12.701

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  1 in total

1.  Increased AURKA Gene Copy Number Correlates with Poor Prognosis and Predicts the Efficacy of High-dose Interferon Therapy in Acral Melanoma.

Authors:  Junya Yan; Jiayi Yu; Xiaowen Wu; Tianxiao Xu; Huan Yu; Jie Dai; Meng Ma; Huan Tang; Longwen Xu; Zhihong Chi; Lu Si; Xinan Sheng; Chuanliang Cui; Yan Kong; Jun Guo
Journal:  J Cancer       Date:  2018-03-15       Impact factor: 4.207

  1 in total

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