Xi Zhang

Dr. Xi Zhang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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2 March 2022 in BMC Cancer
Verified
Journal Article
Open access
PDF file
XZXi Zhang
Xi Zhang
XMXin Mu
Xin Mu
OHOu Huang
Ou Huang
ZWZhitang Wang
Zhitang Wang
JCJialin Chen
Jialin Chen
GWGen Wang
Gen Wang
Background: The oncogenic drivers of triple-negative breast cancer (TNBC), which is characterized by worst prognosis compared with other subtypes, are poorly understood. Although next-generation sequencing technology has facilitated identifying potential targets, few of the findings have been translated into daily clinical practice. The present study is aimed to explore ZNF703 (Zinc finger 703) function and its underlying mechanism in TNBC. Methods: ZNF703 expressions in tissue microarray were retrospectively examined by immunohistochemistry. The cell proliferation by SRB assay and colony formation assay, as well as cell cycle distribution by flow cytometry were assessed. The protein levels associated with possible underlying molecular mechanisms were evaluated by western blotting. Kaplan-Meier analysis was used to plot survival analysis. Results: Our data suggest that ZNF703 expressed in 34.2% of triple-negative human breast tumors by immunohistochemistry. In vitro, ZNF703 knockdown had potent inhibitory effects on TNBC cell proliferation and cell cycle, with cyclin D1, CDK4, CDK6, and E2F1 downregulated, while Rb1 upregulated. Moreover, Kaplan-Meier analysis showed that high mRNA expression of ZNF703 was correlated to worse overall survival (HR for high expression was 3.04; 95% CI, 1.22 to 7.57, P = 0.017). Conclusions: Taken together, the results identified that targeting ZNF703 contributed to the anti-proliferative effects in TNBC cells, due to induced G1-phase arrest. This study is the first to identify ZNF703 as a potentially important protein that is involved in TNBC progression.

17 May 2019 in Oncology Letters
Verified
Journal Article
Open access
PDF file
XMXin Mu
Xin Mu
OHOu Huang
Ou Huang
MJMin Jiang
Min Jiang
ZXZuoquan Xie
Zuoquan Xie
DCDebo Chen
Debo Chen
XZXi Zhang
Xi Zhang
The roles of Ephrin B (EphB) receptors in cancer are relatively unknown as these receptors are associated with complex signaling pathways. A limited number of studies have investigated the association between EphB receptors and prognosis. Using the Kaplan‑Meier plotter database, the present study investigated the associations between the mRNA expression levels of five EphB receptors and the outcomes of 3,554 patients with breast cancer who had been followed‑up for 20 years. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated to assess the relative risk of survival. The results demonstrated that high mRNA expression levels of EphB2 (HR, 0.74; 95% CI, 0.66‑0.84; P=2.1x10‑6), EphB4 (HR, 0.82; 95% CI, 0.72‑0.93; P=0.0023) and EphB6 (HR, 0.69; 95% CI, 0.61‑0.78; P=3x10‑9) were significantly associated with improved survival, while a high mRNA expression level of EphB3 (HR, 1.14; 95% CI, 1.01‑1.28; P=0.029) was associated with worse survival for patients with breast cancer. High expression levels of all EphB receptors, including EphB1 (HR, 1.4; 95% CI, 1.02‑1.94; P=0.039), EphB2 (HR, 1.34; 95% CI, 1.07‑1.67; P=0.011), EphB3 (HR, 1.39; 95% CI, 1.11‑1.73, P=0.0038), EphB4 (HR, 1.33; 95% CI, 1.06‑1.67; P=0.013) and EphB6 (HR, 1.32; 95% CI, 1.05‑1.65; P=0.016), were associated with an increased risk of mortality in patients with lymph‑node‑positive breast cancer. High mRNA expression levels of EphB1 were not associated with survival for all patients with breast cancer (HR, 0.85; 95% CI, 0.72‑1.01; P=0.058). The results of the present suggested that EphB receptors may be useful as prognostic biomarkers of breast cancer.

17 January 2025 in Gene
Verified
Journal Article
Closed access
GWGen Wang
Gen Wang
JWJialiang Wang
Jialiang Wang
CLChaoying Li
Chaoying Li
XMXin Mu
Xin Mu
QMQiongyu Mu
Qiongyu Mu
XSXiaoping Su
Xiaoping Su