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  • ISSN 1674-8301
  • CN 32-1810/R
Volume 38 Issue 4
Jul.  2024
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Mengfan Guo, Jingyuan Liu, Yujuan Zhang, Jingjing Gu, Junyi Xin, Mulong Du, Haiyan Chu, Meilin Wang, Hanting Liu, Zhengdong Zhang. Genetic variants in C1GALT1 are associated with gastric cancer risk by influencing immune infiltration[J]. The Journal of Biomedical Research, 2024, 38(4): 348-357. DOI: 10.7555/JBR.37.20230161
Citation: Mengfan Guo, Jingyuan Liu, Yujuan Zhang, Jingjing Gu, Junyi Xin, Mulong Du, Haiyan Chu, Meilin Wang, Hanting Liu, Zhengdong Zhang. Genetic variants in C1GALT1 are associated with gastric cancer risk by influencing immune infiltration[J]. The Journal of Biomedical Research, 2024, 38(4): 348-357. DOI: 10.7555/JBR.37.20230161
shu

Genetic variants in C1GALT1 are associated with gastric cancer risk by influencing immune infiltration

  • 1.

    Departments of Environmental Genomics and Genetic Toxicology, the Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health; Institute of Clinical Research, the Affiliated Taizhou People's Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu 211166, China

  • 2.

    Departments of Environmental Genomics and Genetic Toxicology, the Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China

  • 3.

    Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu 211166, China

  • 4.

    Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China

More Information
  • Corresponding author:

    Zhengdong Zhang and Hanting Liu, Department of Environmental Genomics and Genetic Toxicology, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu 211166, China. E-mails: drzdzhang@njmu.edu.cn (Zhang) and hantingliu@njmu.edu.cn (Liu)

  • △These authors contribute equally to this work.

  • Received Date: July 11, 2023
  • Revised Date: December 08, 2023
  • Accepted Date: January 07, 2024
  • Available Online: January 11, 2024
  • Published Date: May 28, 2024
    Graphical Abstract
    • Abstract

  • Core 1 synthase glycoprotein-N-acetylgalactosamine 3-β-galactosyltransferase 1 (C1GALT1) is known to play a critical role in the development of gastric cancer, but few studies have elucidated associations between genetic variants in C1GALT1 and gastric cancer risk. By using the genome-wide association study data from the database of Genotype and Phenotype (dbGAP), we evaluated such associations with a multivariable logistic regression model and identified that the rs35999583 G>C in C1GALT1 was associated with gastric cancer risk (odds ratio, 0.83; 95% confidence interval [CI], 0.75–0.92; P = 3.95 × 10−4). C1GALT1 mRNA expression levels were significantly higher in gastric tumor tissues than in normal tissues, and gastric cancer patients with higher C1GALT1 mRNA levels had worse overall survival rates (hazards ratio, 1.33; 95% CI, 1.05–1.68; Plog-rank = 1.90 × 10−2). Furthermore, we found that C1GALT1 copy number differed in various immune cells and that C1GALT1 mRNA expression levels were positively correlated with the infiltrating levels of CD4+ T cells and macrophages. These results suggest that genetic variants of C1GALT1 may play an important role in gastric cancer risk and provide a new insight for C1GALT1 into a promising predictor of gastric cancer susceptibility and immune status.

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  • The authors would like to thank Dr. Xudong Song of the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University for providing assistance with sample collection.

    The present study was funded by the National Key R&D Program of China (Grant Nos. 2018YFC1313100 and 2018YFC1313102), the National Natural Science Foundation of China (Grant No. 81773539), Collaborative Innovation Center for Cancer Personalized Medicine, and the Priority Academic Program Development of Jiangsu Higher Education Institutions (Public Health and Preventive Medicine).

    CLC number: R735.2, Document code: A

    The authors reported no conflict of interests.

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