Literature DB >> 27161300

SATB1 is Correlated with Progression and Metastasis of Breast Cancers: A Meta-Analysis.

Zhongya Pan, Wei Jing, Keli He, Li Zhang, Xinghua Long.   

Abstract

BACKGROUND/AIMS: Several researches have evaluated the significance of SATB1 (Special AT-rich sequence binding protein 1) expression in breast cancers (BCs), but the results have been disputed, especially in the aspects of clinicopathological features and prognosis. Therefore, our study aimed to use a meta-analysis to summarize the clinical and prognostic relevance of SATB1 gene expression in BCs.
METHODS: A literature search of PubMed, EMBASE, Cochrane library, Chinese Wanfang and CNKI was performed to identify eligible studies. Ten studies total, comprising 5,185 patients (1,699 SATB1-positive and 3,486 SATB1-negative), were enrolled in our study, which was performed using Revman5.3 Software and Stata11.0 Software.
RESULTS: This meta-analysis showed that the expression of SATB1 was significantly higher in breast cancer than in normal tissues (OR = 12.28; 95%CI = 6.01-25.09), and was statistically related to several clinicopathological parameters, including lymph node metastasis (OR = 1.55, 95%CI = 1.01-2.39) and Tumor Node Metastasis(TNM) stage (OR = 0.35, 95%CI = 0.22-0.56). However, the level of SATB1 was not statistically associated with the age (OR = 1.13, 95%CI = 0.87-1.46), tumour size (OR = 0.72, 95%CI = 0.44-1.19), estrogen receptor (OR = 0.78, 95%CI = 0.55-1.09), progesterone receptor (OR = 0.64, 95%CI = 0.32-1.29), HER2 status (OR=1.98, 95%CI = 0.74-5.30), and histological type (OR = 0.49, 95%CI = 0.22-1.11).
CONCLUSION: High expression of SATB1 was significantly correlated with tumourigenesis and metastasis of BCs, indicating poor prognosis for patients. SATB1 could serve as a potential marker for detection and prognosis evaluation of breast cancers.
© 2016 The Author(s) Published by S. Karger AG, Basel.

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Year:  2016        PMID: 27161300     DOI: 10.1159/000445558

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  9 in total

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Authors:  Ying-Chen Xu; Chao-Jie Liang; Dong-Xin Zhang; Guan-Qun Li; Xia Gao; Jian-Zhu Fu; Feng Xia; Jia-Jun Ji; Li-Jun Zhang; Guang-Ming Li; Ji-Xiang Wu
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  9 in total

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