Guojun Zhang

Dr. Guojun Zhang

orcid

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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1 January 2017 in Cancer Biology & Medicine
Verified
Journal Article
Open access
PDF file
BJBai Jingwen
Bai Jingwen
LYLi Yaochen
Li Yaochen
GZGuojun Zhang
Guojun Zhang
Cell cycle regulation and anticancer drug discovery

20 February 2019 in Cell Death & Disease
Verified
Journal Article
Open access
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JXJianzhen Xu
Jianzhen Xu
CSChang-Chun Shao
Chang-Chun Shao
XWXiao-Jia Wang
Xiao-Jia Wang
XZXing Zhao
Xing Zhao
JCJun-Qing Chen
Jun-Qing Chen
MCMin Chen
Min Chen
More and more evidence indicates that circular RNAs (circRNAs) have important roles in several diseases, especially in cancers. However, their involvement remains to be investigated in breast cancer. Through screening circRNA profile, we identified 235 differentially expressed circRNAs in breast cancer. Subsequently, we explored the clinical significance of two circTADA2As in a large cohort of triple-negative breast cancer (TNBC), and performed functional analysis of circTADA2A-E6 in vitro and in vivo to support clinical findings. Finally, we evaluated the effect of circTADA2A-E6 on miR-203a-3p and its target gene SOCS3. We detected two circRNAs, circTADA2A-E6 and circTADA2A-E5/E6, which were among the top five differentially expressed circRNAs in breast cancer. They were consistently and significantly decreased in a large cohort of breast cancer patients, and their downregulation was associated with poor patient survival for TNBC. Especially, circTADA2A-E6 suppressed in vitro cell proliferation, migration, invasion, and clonogenicity and possessed tumor-suppressor capability. circTADA2A-E6 preferentially acted as a miR-203a-3p sponge to restore the expression of miRNA target gene SOCS3, resulting in a less aggressive oncogenic phenotype. circTADA2As as promising prognostic biomarkers in TNBC patients, and therapeutic targeting of circTADA2As/miRNA/mRNA network may be a potential strategy for the treatment of breast cancer.

27 February 2023 in Signal Transduction and Targeted Therapy
Verified
Journal Article
Open access
PDF file
JBJing-Wen Bai
Jing-Wen Bai
SQSi-Qi Qiu
Si-Qi Qiu
GZGuojun Zhang
Guojun Zhang
Targeted anticancer drugs block cancer cell growth by interfering with specific signaling pathways vital to carcinogenesis and tumor growth rather than harming all rapidly dividing cells as in cytotoxic chemotherapy. The Response Evaluation Criteria in Solid Tumor (RECIST) system has been used to assess tumor response to therapy via changes in the size of target lesions as measured by calipers, conventional anatomically based imaging modalities such as computed tomography (CT), and magnetic resonance imaging (MRI), and other imaging methods. However, RECIST is sometimes inaccurate in assessing the efficacy of targeted therapy drugs because of the poor correlation between tumor size and treatment-induced tumor necrosis or shrinkage. This approach might also result in delayed identification of response when the therapy does confer a reduction in tumor size. Innovative molecular imaging techniques have rapidly gained importance in the dawning era of targeted therapy as they can visualize, characterize, and quantify biological processes at the cellular, subcellular, or even molecular level rather than at the anatomical level. This review summarizes different targeted cell signaling pathways, various molecular imaging techniques, and developed probes. Moreover, the application of molecular imaging for evaluating treatment response and related clinical outcome is also systematically outlined. In the future, more attention should be paid to promoting the clinical translation of molecular imaging in evaluating the sensitivity to targeted therapy with biocompatible probes. In particular, multimodal imaging technologies incorporating advanced artificial intelligence should be developed to comprehensively and accurately assess cancer-targeted therapy, in addition to RECIST-based methods.

18 January 2021 in Small Methods
Verified
Journal Article
Open access
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RYRui‐Qin Yang
Rui‐Qin Yang
KLKang‐Liang Lou
Kang‐Liang Lou
PWPei‐Yuan Wang
Pei‐Yuan Wang
YGYi‐Yang Gao
Yi‐Yang Gao
YZYong‐Qu Zhang
Yong‐Qu Zhang
GZGuojun Zhang
Guojun Zhang
Near‐infrared (NIR) fluorescence imaging is an emerging noninvasive imaging modality, with unique advantages in guiding tumor resection surgery, thanks to its high sensitivity and instantaneity. In the past decade, studies on the conventional NIR window (NIR‐I, 750–900 nm) have gradually focused on the second NIR window (NIR‐II, 1000–1700 nm). With its reduced light scattering, photon absorption, and auto‐fluorescence qualities, NIR‐II fluorescence imaging significantly improves penetration depths and signal‐to‐noise ratios in bio‐imaging. Recently, several studies have applied NIR‐II imaging to navigating cancer surgery, including localizing cancers, assessing surgical margins, tracing lymph nodes, and mapping important anatomical structures. These studies have exemplified the significant prospects of this new approach. In this review, several NIR‐II fluorescence agents and some of the complex applications for guiding cancer surgeries are summarized. Future prospects and the challenges of clinical translation are also discussed.

1 May 2018
Verified
Journal Article
Closed access
JLJing Liu
Jing Liu
JSJia-Xin Shen
Jia-Xin Shen
HWHua-Tao Wu
Hua-Tao Wu
XLXiao-Li Li
Xiao-Li Li
XWXiao-Fen Wen
Xiao-Fen Wen
GZGuojun Zhang
Guojun Zhang

22 July 2013 in Scientific Reports
Verified
Journal Article
Open access
PDF file
PYP. Yang
P. Yang
CDC. W. Du
C. W. Du
MKM. Kwan
M. Kwan
SLS. X. Liang
S. X. Liang
GZGuojun Zhang
Guojun Zhang
In the study, we analyzed role of p53 in predicting outcome in visceral metastasis breast cancer (VMBC) patients. 97 consecutive VMBC patients were studied. P53 positivity rate was 29.9%. In the p53-negative group, median disease free survival (DFS), and time from primary breast cancer diagnosis to death (OS1), time from metastases to death (OS2) were 25, 42.5, and 13.5 months, respectively. In the p53-positive group, they were 10, 22, and 8 months, respectively. Statistically significant differences in DFS and OS1 were detected between the p53-negative and p53-positive subtypes. However, p53 appears to have no influence on OS2. In Cox regression analysis, p53 expression and TNM stage were predictive factors of DFS. In the multivariate analysis, p53 expression and the duration of DFS correlated with OS1, but not for OS2. Taken together, our data indicate p53 showing predicting role in OS1 for VMBC, but not for OS2.