Yizhuo Zhang

Yizhuo Zhang


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 January 2015 in Leukemia Research
Verified
Journal Article
Closed access
BXBing Xia
Bing Xia
CTChen Tian
Chen Tian
SGShanqi Guo
Shanqi Guo
LZLe Zhang
Le Zhang
DZDandan Zhao
Dandan Zhao
YZYizhuo Zhang
Yizhuo Zhang

10 March 2017 in Leukemia
Verified
Journal Article
Closed access
PDF file
TYT Yuan
T Yuan
YYY Yang
Y Yang
JCJ Chen
J Chen
WLW Li
W Li
QZQ Zhang
Q Zhang
MYM. James You
M. James You

11 November 2017 in Annals of Hematology
Verified
Journal Article
Closed access
PDF file
YWYi Wang
Yi Wang
LWLing Wu
Ling Wu
CTChen Tian
Chen Tian
YZYizhuo Zhang
Yizhuo Zhang

29 November 2017 in Annals of Hematology
Verified
Journal Article
Closed access
PDF file
CWChaoyu Wang
Chaoyu Wang
BXBing Xia
Bing Xia
QNQiaoyang Ning
Qiaoyang Ning
HZHaifeng Zhao
Haifeng Zhao
HYHongliang Yang
Hongliang Yang
YZYizhuo Zhang
Yizhuo Zhang

3 January 2019 in Bioscience Reports
Verified
Journal Article
Open access
PDF file
CSChengtao Sun
Chengtao Sun
XCXianfeng Cheng
Xianfeng Cheng
CWChaoyu Wang
Chaoyu Wang
XWXi Wang
Xi Wang
BXBing Xia
Bing Xia
YZYizhuo Zhang
Yizhuo Zhang
Diffuse large B-cell lymphoma (DLBCL) is the most common hematologic malignancy, however, specific tumor-associated genes and signaling pathways are yet to be deciphered. Differentially expressed genes (DEGs) were computed based on gene expression profiles from GSE32018, GSE56315, and The Cancer Genome Atlas (TCGA) DLBC. Overlapping DEGs were then evaluated for gene ontology (GO), pathways enrichment, DNA methylation, protein–protein interaction (PPI) network analysis as well as survival analysis. Seventy-four up-regulated and 79 down-regulated DEGs were identified. From PPI network analysis, majority of the DEGs were involved in cell cycle, oocyte meiosis, and epithelial-to-mesenchymal transition (EMT) pathways. Six hub genes including CDC20, MELK, PBK, prostaglandin D2 synthase (PTGDS), PCNA, and CDK1 were selected using the Molecular Complex Detection (MCODE). CDC20 and PTGDS were able to predict overall survival (OS) in TCGA DLBC and in an additional independent cohort GSE31312. Furthermore, CDC20 DNA methylation negatively regulated CDC20 expression and was able to predict OS in DLBCL. A two-gene panel consisting of CDC20 and PTGDS had a better prognostic value compared with CDC20 or PTGDS alone in the TCGA cohort (P=0.026 and 0.039). Overall, the present study identified a set of novel genes and pathways that may play a significant role in the initiation and progression of DLBCL. In addition, CDC20 and PTGDS will provide useful guidance for therapeutic applications.

3 October 2016 in Journal of Cellular Physiology
Verified
Journal Article
Closed access
PDF file
CTChen Tian
Chen Tian
GZGuoguang Zheng
Guoguang Zheng
HZHongqing Zhuang
Hongqing Zhuang
XLXubin Li
Xubin Li
DHDongzhi Hu
Dongzhi Hu
YZYizhuo Zhang
Yizhuo Zhang