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ISSN 1001-5256 (Print)
ISSN 2097-3497 (Online)
CN 22-1108/R
Volume 38 Issue 2
Feb.  2022
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Article Navigation >  Journal of Clinical Hepatology  > 2022  >  38(2): 409-414

Genomic profile of pancreatic tumor in the coastal regions of Eastern China: A multicenter analysis of 40 cases

DOI: 10.3969/j.issn.1001-5256.2022.02.028

  • Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China

Research funding:

Scientific Research Award Fund for Young and Middle-Aged Scientists in Shandong Province (BS2011YY004);

Chen Xiaoping Science and Technology Development Fund of Hubei Province (CXPJJH12000002-2020057);

Li Jieshou Intestinal Barrier Research Foundation of China International Medical Exchange Foundation in 2019 (Z-2017-24-2009)

More Information
  • Corresponding author: QU Linlin, taxue9455@sina.com
  • Received Date: 2021-07-07
  • Accepted Date: 2021-08-26
  • Published Date: 2022-02-20
    Abstract
  •   Objective  To investigate the gene mutations of Chinese patients with pancreatic cancer in the coastal regions of Eastern China, and to provide a basis for individualized treatment.  Methods  A total of 40 patients who were admitted and diagnosed with malignant pancreatic tumor after surgical treatment in The Affiliated Hospital of Qingdao University, Qingdao Municipal Hospital, Yantaishan Hospital, and Yantai Sino-France Friendship Hospital from January 2017 to June 2019 were enrolled. Next-generation sequencing (NGS) was used to detect gene mutations in tumor tissue and somatic cells, and the map of gene mutations was plotted to analyze genomic alterations. The chi-square test or the Fisher's exact test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves, and the log-rank test was used for comparison between groups.  Results  Among the 40 patients, 34 (85.0%) had pancreatic ductal adenocarcinoma, 3 (7.5%) had solid pseudopapillary neoplasm of the pancreas, 1 (2.5%) had pancreatic neuroendocrine tumor, and 2 (5.0%) had unclear typing. KRAS (80.0%, 32/40), TP53 (70.0%, 28/40), CDKN2A (32.5%, 13/40), SMAD4 (17.5%, 7/40), and AKT2 (17.5%, 7/40) were the most common mutations, and there was no significant difference in survival time between the patients with these five common gene mutations (all P > 0.05).  Conclusion  NGS technology can provide comprehensive and accurate information of genomic alterations and may provide novel potential biomarkers for the diagnosis and precise treatment of pancreatic cancer. The analysis of mutant genes also lays a foundation for the individualized treatment of pancreatic cancer.

     

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