Xiu-Ping Liu

Dr. Xiu-Ping Liu


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 August 2010 in Cell Death & Differentiation
Verified
Journal Article
Open access
PDF file
QLQ-Q Li
Q-Q Li
ZCZ-Q Chen
Z-Q Chen
XCX-X Cao
X-X Cao
JXJ-D Xu
J-D Xu
JXJ-W Xu
J-W Xu
ZXZ-D Xu
Z-D Xu
The epithelial–mesenchymal transition (EMT) induced by chemotherapeutic agents promotes malignant tumor progression; however, the mechanism underlying the drug-induced EMT remains unclear. In this study, we reported that miR-448 is the most downregulated microRNA following chemotherapy. Suppression of miR-448 correlated with EMT induction in breast cancer in vitro and in vivo. With the use of chromatin immunoprecipitation-seq analysis, we demonstrated that miR-448 suppression induces EMT by directly targeting special AT-rich sequence-binding protein-1 (SATB1) mRNA, leading to elevated levels of amphiregulin and thereby, increasing epidermal growth factor receptor (EGFR)-mediated Twist1 expression, as well as nuclear factor κB (NF-κB) activation. On the other hand, we also found that the adriamycin-activated NF-κB directly binds the promoter of miR-448 suppressing its transcription, suggesting a positive feedback loop between NF-κB and miR-448. Furthermore, all patients who received cyclophosphamide (CP), epirubicin plus taxotere/CP, epirubicin plus 5-fluorouracil chemotherapy showed miR-448 suppression, an increased SATB1, Twist1 expression and acquisition of mesenchymal phenotypes. These findings reveal an underlying regulatory pathway, in which the autoregulation between NF-κB and miR-448 is important for restrain miR-448 suppression upon chemotherapy and may have a role in the regulation of chemotherapy-induced EMT. Disruption of the NF-κB-miR-448 feedback loop during clinical treatment may improve the chemotherapy response of human breast cancers in which EMT is a critical component.

1 September 2018 in Laboratory Investigation
Verified
Journal Article
Closed access
PDF file
XLXue-Jing Liu
Xue-Jing Liu
NDNa-Na Duan
Na-Na Duan
CLChang Liu
Chang Liu
CNChen Niu
Chen Niu
XLXiu-Ping Liu
Xiu-Ping Liu
Jian WuJian Wu
Jian Wu

25 June 2010 in International Journal of Cancer
Verified
Journal Article
Open access
PDF file
XCXi‐Xi Cao
Xi‐Xi Cao
JXJing‐Da Xu
Jing‐Da Xu
XLXiao‐Li Liu
Xiao‐Li Liu
JXJia‐Wen Xu
Jia‐Wen Xu
WWWen‐Juan Wang
Wen‐Juan Wang
XLXiu-Ping Liu
Xiu-Ping Liu
We aimed to investigate the expression of RACK1 in breast cancer, evaluate its role in predicting prognosis and compare with commonly used biomarkers: Ki67, ER, PR and HER‐2 for patients with breast cancer. The RACK1 expression and its clinical significance were examined in 160 breast carcinoma patients using immunohistochemistry. Correlations of RACK1 expression with other commonly used biomarkers and survival analyses were assessed. Immunohistochemistry results showed that the number of RACK1 cases scoring 0, 1, and 2 were 66, 54, and 40, respectively. RACK1 staining was strongly related to clinical stage, histological grade, Ki67, ER, PR and HER‐2 (all p < 0.05). Consistently, all of the cases exhibiting RACK1 staining score 0 were survivors, whereas the majority (55.0%) of those exhibiting RACK1 staining score 2 were deaths. Kaplan‐Meier survival analysis of 160 cases revealed a correlation between higher RACK1 expression levels and shorter overall survival times (p < 0.001). Univariate and multivariate analyses revealed that RACK1, tumor size, lymph node metastasis, and HER‐2 were independent prognostic factors (all p < 0.05). Interestingly, receiver operator characteristic (ROC) curves showed that the ROC areas for RACK1, Ki67, ER, PR and HER‐2 were 0.833, 0.766, 0.446, 0.387, and 0.689, respectively, and the superiority of RACK1 in sensitivity and specificity as biomarker was demonstrated. To our knowledge, it is the first time to investigate the expression of RACK1, and identified that RACK1 is a superior independent biomarker for diagnosis and prognosis comparing with currently widely used diagnostic index in breast carcinoma.

31 October 2017 in International Journal of Cancer
Verified
Journal Article
Closed access
PDF file
JYJiangang Yu
Jiangang Yu
XWXue Wang
Xue Wang
QLQi Lu
Qi Lu
JWJigang Wang
Jigang Wang
LLLuying Li
Luying Li
PZPing Zhou
Ping Zhou

21 June 2021 in Oncogene
Verified
Journal Article
Closed access
PDF file
XLXiaoyan Li
Xiaoyan Li
ZWZhengming Wu
Zhengming Wu
JHJing He
Jing He
YJYiting Jin
Yiting Jin
CCChengyu Chu
Chengyu Chu
QZQiang Zou
Qiang Zou

28 November 2009 in Breast Cancer Research and Treatment
Verified
Journal Article
Closed access
PDF file
XCXi-Xi Cao
Xi-Xi Cao
JXJing-Da Xu
Jing-Da Xu
JXJia-Wen Xu
Jia-Wen Xu
XLXiao-Li Liu
Xiao-Li Liu
YCYuan-Yuan Cheng
Yuan-Yuan Cheng
XLXiu-Ping Liu
Xiu-Ping Liu