Xuejun Gong

Xuejun Gong


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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1 January 2019
Verified
Journal Article
Closed access
CPC-L Pei
C-L Pei
KFK-L Fei
K-L Fei
XYX-Y Yuan
X-Y Yuan
XGXuejun Gong
Xuejun Gong

8 November 2022 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
YLYuqiang Li
Yuqiang Li
DWDan Wang
Dan Wang
HGHeming Ge
Heming Ge
CGCenap Güngör
Cenap Güngör
XGXuejun Gong
Xuejun Gong
Yongheng ChenYongheng Chen
Yongheng Chen
Cancer stem cells (CSCs) are a subpopulation of cancer cells possessing stemness characteristics that are closely associated with tumor proliferation, recurrence and resistance to therapy. Recent studies have shown that different cytoskeletal components and remodeling processes have a profound impact on the behavior of CSCs. In this review, we outline the different cytoskeletal components regulating the properties of CSCs and discuss current and ongoing therapeutic strategies targeting the cytoskeleton. Given the many challenges currently faced in targeted cancer therapy, a deeper comprehension of the molecular events involved in the interaction of the cytoskeleton and CSCs will help us identify more effective therapeutic strategies to eliminate CSCs and ultimately improve patient survival.

6 January 2023 in Frontiers in Surgery
Verified
Journal Article
Open access
DLDong Luo
Dong Luo
YLYixiong Li
Yixiong Li
LJLiandong Ji
Liandong Ji
XGXuejun Gong
Xuejun Gong
Background and Objective: Postoperative pancreatic fistula (POPF) is the most common critical complication after pancreatoduodenectomy (PD) and is the primary reason for increased mortality and morbidity after PD. We aim to investigate the clinical significance of a novel approach, i.e., end-to-side one-layer continuous pancreaticojejunostomy, for patients with PD.Methods: The clinical data of 65 patients who underwent pancreatoduodenectomy at the Xiangya Hospital, Central South University, from September 2020 to December 2021 were retrospectively analyzed.Results: Forty patients underwent end-to-end invaginated pancreaticojejunostomy, and 25 underwent the novel end-to-side one-layer continuous pancreaticojejunostomy. No significant differences were observed in pancreatic fistula, intraperitoneal infection, intraperitoneal bleeding, reoperation, postoperative hospital stay, or perioperative death between the two groups. However, the novel end-to-side one-layer continuous pancreaticojejunostomy group had significantly shorter operation duration (32.6 ± 5.1 min vs. 8.3 ± 2.2 min, p < 0.001). The incidence of pancreatic fistula in the novel pancreaticojejunostomy group was 12%, including two cases of grade A POPF and only one case of grade B POPF. No cases of grade C POPF occurred. No deaths were observed during the perioperative period.Conclusions: The novel anastomosis method leads to a shorter operation duration than the traditional anastomosis method and does not increase postoperative complications. In conclusion, it is a simplified and feasible method for pancreatic anastomosis.

20 March 2023 in JOURNAL OF BIOLOGICAL REGULATORS AND HOMEOSTATIC AGENTS
Verified
Journal Article
Closed access
DLDong Luo
Dong Luo
YLYunfei Liu
Yunfei Liu
ZLZhiqiang Li
Zhiqiang Li
LJLiandong Ji
Liandong Ji
XGXuejun Gong
Xuejun Gong
XYXiao Yu
Xiao Yu
Background: Pancreatic ductal adenocarcinoma (PDAC) is a solid malignancy with adverse outcomes. Our aim was to explore promising critical genes related to the development of PDAC. Methods: Microarray datasets were downloaded, and differentially expressed genes (DEGs) were identified. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted by the Database for Annotation, Visualization and Integrated Discovery (DAVID, version 6.8, national cancer institute, Frederick, MD, USA). A protein-protein interaction (PPI) network of DEGs was built with the Search Tool for the Retrieval of Interacting Genes (STRING) (version 11.0, Global Biodata Coalition and ELIXIR, Zurich, Switzerland, http://string-db.org/), and hub genes were determined using Cytoscape (Version 3.7.2, UC San Francisco & Gladstone Institute, San Diego, CA, USA, http://www.cytoscape.org/). Then, expression of hub genes was confirmed by querying Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) (version 22.0, the Knut & Alice Wallenberg foundation, Wallenberg, Sweden, https://www.proteinatlas.org/) databases. These results were further confirmed by quantitative real time PCR (qRT-PCR) of PDAC cell lines. The prognostic significance of hub genes was evaluated through Kaplan–Meier plotter, and the diagnostic value was assessed using UCSC (University of California Santa Cruz) Xena. Results: Two downregulated DEGs and 196 upregulated DEGs were identified. These overexpressed genes were primarily enriched in extracellular exosomes, calcium ion binding, cell adhesion, the Phosphatidylinositol 3 kinase (PI3K)/protein kinase B (PKB, also known as AKT) signaling pathway and cancer. 10 highly expressed hub genes, namely Cyclin-Dependent Kinase 1(CDK1), Ribonucleotide Reductase Regulatory Subunit M2 (RRM2), DNA Topoisomerase II Alpha (TOP2A), Abnormal Spindle-Like Microcephaly-Associated Protein (ASPM), Protein Regulator of Cytokinesis 1 (PRC1), ZW10 Interacting Kinetochore Protein (ZWINT), Maternal Embryonic Leucine Zipper Kinas (MELK), Centrosomal Protein 55 (CEP55), Denticleless E3 Ubiquitin Protein Ligase Homolog (DTL), and NIMA Related Kinase 2 (NEK2), were determined, and the increased expression of these screened genes was further confirmed in PDAC cells compared with immortalized human pancreatic ductal epithelial cells (HPDE6). Increased expression of the selected genes had shorter overall survival (OS) and relapse-free survival (RFS) in PDAC. The analyses of receiver operating characteristic (ROC) predicted the area under curve (AUC) of hub genes in PDAC ranged from 0.970 to 0.990. Conclusions: In conclusion, our study suggested that upregulation of CDK1, RRM2, TOP2A, ASPM, PRC1, ZWINT, MELK, CEP55, DTL, and NEK2 is associated with poor OS and RFS, and these genes exhibit high diagnostic value in PDAC. These genes may be potential independent diagnostic markers. Further studies are needed to validate their potential diagnostic and therapeutic values in PDAC.