BACKGROUND: The lack of specific and immunocompetent gastric cancer models has hindered the exploration of gastric adenocarcinoma (GAC). We constructed a spontaneous and transplantable GAC model using a genetically engineered mouse. METHODS: We generated a tamoxifen-inducible CRISPR-based Anxa10-CreERT2 mouse line and crossed it with the KrasG12D/+ and Tp53R172H/+ strains to develop Anxa10-CreERT2; KrasG12D/+; Tp53R172H/+ mice on a C57BL/6J background. Tamoxifen and N-methyl-N-nitrosourea were administered to induce in situ tumor development. An orthotopic gastric tumor was confirmed by histological analysis and positron emission tomography/computed tomography. A transplantable mouse-derived allograft (MDA) model and stable GAC cell line (ST-YC19) were subsequently established using MDA. The malignant characteristics and drug responses were evaluated. RESULTS: Spontaneous GAC had a 100% incidence within 2.5 months, was predominantly of the intestinal type, and presented essential molecular features of the CIN subtype. The ST-YC19 GAC cell line derived from MDAs exhibited an aggressive phenotype, robust tumorigenic potential, peritoneal dissemination, and distant metastasis. This model showed limited sensitivity to anti-programmed death-1 immunotherapy. CONCLUSION: We successfully established a spontaneous GAC model and its corresponding cell line in C57BL/6J mice, enabling a comprehensive investigation of tumor progression, metastasis, therapeutic response, and resistance mechanisms in vivo. This model represents a valuable platform for advancing precision medicine in gastric cancer.
Construction and application of a genetically engineered mouse model of gastric adenocarcinoma.
阅读:3
作者:Madeti Yelizhati, Chong Xiaoyi, Zhang Xiaotian
| 期刊: | Journal of the Chinese Medical Association | 影响因子: | 2.400 |
| 时间: | 2026 | 起止号: | 2026 Mar 1; 89(3):243-254 |
| doi: | 10.1097/JCMA.0000000000001350 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
