Chen Zou

Chen Zou

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Chen Zou has a total of 30 co-authors. Here are the top co-authors by number of shared publications:

  • Yu Fan

    Cancer Institute, Affiliated People’s Hospital of Jiangsu University, China

    2 shared publications
  • Zhe Dai

    Cancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China

    2 shared publications
  • Zhenjun Gao

    Digestive Department, Qingpu Branch Hospital of Affiliated Zhongshan Hospital, Fudan University, Shanghai, China

    2 shared publications
  • Dongkai Guo

    Department of Pharmacy, Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, Jiangsu 215153, P.R. China

    1 shared publication
  • Guilai Liu

    Department of Oncology and Hematology, Suzhou Hospital, The Affiliated Hospital of Nanjing University Medical School, Suzhou 215153, China

    1 shared publication
  • Guowen Ding

    Cancer Institute, the Affiliated People’s Hospital of Jiangsu University, Jiangsu, China

    1 shared publication

Latest Publications

  • Open Access

    Integrative Multi-Omics Analysis Reveals Critical Molecular Networks Linking Intestinal-System Diseases to Colorectal Cancer Progression

    by Shiliang Ji, Haoran Hu, Ruifang Zhu, Dongkai Guo, Yujing Liu, Yang Yang, Tian Li, Chen Zou, Yiguo Jiang, Guilai Liu

    Background/Objectives: Colorectal cancer (CRC) frequently co-occurs with intestinal system diseases (ISDs), yet their molecular interplay remains poorly understood. We employed a comprehensive bioinformatics approach to elucidate shared genetic signatures and pathways between CRC and ISDs. Methods: We systematically analyzed 12 microarray and RNA-seq datasets encompassing 989 samples across seven ISDs and CRC. Differentially expressed genes (DEGs) were identified using Limma and DESeq2. Functional enrichment analysis was performed using clusterProfiler. Protein–protein interaction networks were constructed via STRING and visualized with Cytoscape to identify hub genes. Clinical significance of shared genes was further assessed through survival analysis and validated by immunohistochemistry staining of 30 paired CRC–normal tissue samples. Results: Integrating bioinformatics and machine learning approaches, we uncovered 160 shared DEGs (87 upregulated, 73 downregulated), which predominantly enriched cell metabolism, immune homeostasis, gut–brain communication, and inflammation pathways. Network analysis revealed nine key hub proteins linking CRC and ISDs, with seven upregulated (CD44, MYC, IL17A, CXCL1, FCGR3A, SPP1, and IL1A) and two downregulated (CXCL12 and CCL5). Survival analysis demonstrated the prognostic potential of these shared genes, while immunohistochemistry confirmed their differential expression in CRC tissues. Conclusions: Our findings unveil potential biomarkers and therapeutic targets, providing insights into ISD-influenced CRC progression and offering a robust foundation for improved diagnostic and treatment strategies in ISD-associated CRC.


  • Open Access

    Case–control study on TP73 rs1801173 C > T gene polymorphism and susceptibility to gastric cancer in a Chinese Han population

    by Huiwen Pan, Xuyu Gu, Xiaoyan Wang, Zhenjun Gao, Guowen Ding, Chen Zou, Yu Fan

    Background: This study investigated the role of TP73 gene polymorphism, rs1801173on risk of gastric cancer. Methods: We conducted a case-controlled study including 577 primary gastric cancer and 678 normal control cases. The target gene fragment was amplified using PCR using blood samples collected from patients. Allele analysis and genotyping were performed using snapshot method. Results: The findings showed that the control group had consistent genotype frequency distribution and presented Hardy–Weinberg equilibrium. The results showed no significant differences in sex, drinking history and age distributions between subjects with the polymorphism and subjects in the control group. Smoking status was correlated with incidence of gastric cancer (P = 0.006). The rs1801173 locus of TP73 gene contained 3 genotypes including: TT, CT, and CT. Logistic regression analysis showed that distribution of recessive model and dominant model was comparable between the two groups before (P = 0.688; 0.937) or after (P = 0.703; 0.990) adjusting for confounders. The distribution frequency in case group was not significantly different relative to that of the control group (P = 0.763). Conclusion: Smoking can independently influence the risk of gastric cancer. TP73 gene rs1801173 polymorphism was not significantly correlated with risk of gastric cancer.


  • Open Access

    Association of Genetic Polymorphisms in TNFRSF11 with the Progression of Genetic Susceptibility to Gastric Cancer

    by Yu Fan, Xuyu Gu, Huiwen Pan, Zhe Dai, Chen Zou, Zhenjun Gao, Heng Zhang

    Objective. To investigate the relationship between polymorphism of TNFRSF11 gene rs9533156 and rs2277438 and susceptibility to gastric cancer. Methods. A case-control study was conducted to select 577 cases of primary gastric cancer and 678 cases of normal control. We extracted whole blood genomic DNA and amplified the target gene fragment by PCR. The genotyping and allele were tested through the snapshot method. Results. In this case-control study, we observed that there was a difference in the genotype distribution of TNFRSF11 gene rs9533156 between the case group and the control group. The frequency distribution of TC heterozygous mutation in the case group was higher than that in the control group. The smoking rate in the case group (34.49%) was higher than that in the control group (27.29%), and the difference in frequency distribution between the two groups was statistically significant (P=0.006). Our findings suggest that TNFRSF11 rs9533156 is associated with susceptibility to GC, which is more evident among elderly patients (>62 years), nonsmokers, and patients who do not consume alcohol. The analysis of the relationship between the TNFSF11 gene rs9533156 site variant and clinical factors of gastric cancer showed that, compared with the tumor size <2 cm group, patients with tumor size ≥2 cm and whom carrying rs9533156 site mutations had a higher frequency distribution, and the difference was statistically significant (P=0.022). Compared with the nonhyperglycemic group, the frequency distribution of patients with rs9533156 site mutations in the diabetes group was higher, and the difference was statistically significant (P<0.001). Conclusion. This study shows that there is a correlation between smoking and the occurrence of gastric cancer. Based on our research, the functional SNP TNFRSF11 TC genotype may be an indicator of individual susceptibility to GC. The mutation at rs9533156 may be related to the size of gastric cancer. The mutation rate of rs9533156 of TNFSF11 gene is higher in diabetic gastric cancer patients.


  • Prognostic significance of C-reactive protein to albumin ratio in colorectal cancer patients: a meta-analysis

    by Yu Fan, Shouyan Xiang, Zhe Dai, Chen Zou, Xiaoyan Wang, Zhenjun Gao

    Inconsistent results on the prognostic significance of C-reactive protein to albumin ratio (CAR) in colorectal cancer patients have been reported. This meta-analysis sought to assess the prognostic value of pretreatment CAR for survival outcomes in colorectal cancer patients.


  • Open Access

    miR-27b-3p suppresses cell proliferation through targeting receptor tyrosine kinase like orphan receptor 1 in gastric cancer

    by Jinqiu Tao, Xiaofei Zhi, Xiaoyu Zhang, Min Fu, Hao Huang, Yu Fan, Wenxian Guan, Chen Zou

    The receptor tyrosine kinase-like orphan receptors (ROR) family contains the atypical member ROR1, which plays an oncogenic role in several malignant tumors. However, the clinical potentials and underlying mechanisms of ROR1 in gastric cancer progression remain largely unknown. In this study, we validated the microRNA-mediated gene repression mechanism involved in the role of ROR1. Bioinformatic prediction, luciferase reporter assay, quantitative real-time PCR (qRT-PCR) and western blotting were used to reveal the regulatory relationship between miR-27b-3p and ROR1. The expression patterns of miR-27b-3p and ROR1 in human gastric cancer (GC) specimens and cell lines were determined by microRNA RT-PCR and western blotting. Cell proliferation, colony formation assay in soft agar in vitro and tumorigenicity in vivo were performed to observe the effects of downregulation and upregulation miR-27b-3p expression on GC cell phenotypes. miR-27b-3p suppressed ROR1 expression by binding to the 3’UTR of ROR1 mRNA in GC cells. miR-27b-3p was significantly downregulated and reversely correlated with ROR1 protein levels in clinical samples. Analysis of the clinicopathological significance showed that miR-27b-3p and ROR1 were closely correlated with GC characteristics. Ectopic miR-27b-3p expression suppressed cell proliferation, colony formation in soft agar, xenograft tumors of GC cells. By contrast, miR-27b-3p knockdown enhanced these malignant behaviors. Our studies further revealed that the c-Src/STAT3 signaling pathway was involved in miR-27b-3p-ROR1-mediated cell proliferation regulation. These results show that miR-27b-3p suppresses ROR1 expression through the binding site in the 3’UTR inhibiting the cell proliferation. These findings indicate that miR-27b-3p exerts tumor-suppressive effects in GC through the suppression of oncogene ROR1 expression and suggest a therapeutic application of miR-27b-3p in GC.