DNPEP与ALDH18A1在胃癌中的表达特征及其对细胞增殖、迁移与侵袭的影响
Expression Characteristics of DNPEP and ALDH18A1 in Gastric Cancer and Their Effects on Cell Proliferation, Migration and Invasion
摘要: 目的:观察DNPEP及ALDH18A1在胃癌组织中的表达差异,分析其对胃癌细胞增殖、迁移与侵袭能力的影响。方法:借助TCGA数据库分析DNPEP、ALDH18A1在胃癌与癌旁组织的表达差异及基因表达和患者预后的关联性。运用RT-qPCR检测基因在胃癌细胞系的基础表达,筛选实验细胞株。经脂质体转染构建基因敲低、过表达细胞模型,结合CCK-8、划痕愈合、Transwell实验,探究基因对胃癌细胞增殖、迁移及侵袭能力的影响。结果:数据库分析显示,胃癌组织中DNPEP、ALDH18A1表达显著上调,高表达与患者预后改善相关。MKN-1细胞株在两种基因的表达呈中等水平(P < 0.001),选定为细胞模型。RT-qPCR技术筛选可高效沉默的靶基因(P < 0.001)。功能实验揭示,过表达任一基因均能显著增强细胞活性、侵袭与迁移能力(均P < 0.001);敲低后则导致细胞增殖(P < 0.001)、侵袭(P < 0.001, P < 0.01)及迁移能力(P < 0.001, P < 0.01)明显受阻。结论:DNPEP、ALDH18A1在胃癌中呈高表达,体外实验证实其具备促癌作用,但其高表达却对应更佳预后,存在体内外功能差异。二者作用机制复杂,有望作为胃癌诊断标志物与治疗靶点,仍需体内实验进一步验证。
Abstract: Objective: To observe the differential expression of DNPEP and ALDH18A1 in gastric cancer tissues and analyze their effects on the proliferation, migration, and invasion abilities of gastric cancer cells. Methods: The TCGA database was used to analyze the expression differences of DNPEP and ALDH18A1 between gastric cancer and adjacent normal tissues, as well as the correlation between gene expression and patient prognosis. RT-qPCR was performed to detect the basal expression of these genes in gastric cancer cell lines to screen for suitable experimental cell lines. Liposome transfection was used to construct gene knockdown and overexpression cell models. CCK-8, wound healing, and Transwell assays were employed to evaluate the effects of these genes on the proliferation, migration, and invasion abilities of gastric cancer cells. Results: Database analysis showed that the expression of DNPEP and ALDH18A1 was significantly upregulated in gastric cancer tissues, and high expression was associated with improved patient prognosis. The MKN-1 cell line exhibited moderate expression levels of both genes (P < 0.001) and was selected as the cell model. RT-qPCR confirmed that siRNA could efficiently silence the target genes (P < 0.001). Functional assays revealed that overexpression of either gene significantly enhanced cell proliferation, invasion, and migration (all P < 0.001), whereas knockdown significantly inhibited cell proliferation (P < 0.001), invasion (P < 0.001, P < 0.01), and migration (P < 0.001, P < 0.01). Conclusions: DNPEP and ALDH18A1 are highly expressed in gastric cancer, and in vitro experiments confirmed their oncogenic roles; however, their high expression is associated with better prognosis, indicating a discrepancy between in vitro and in vivo functions. Their mechanisms of action are complex, and they hold promise as diagnostic biomarkers and therapeutic targets for gastric cancer, though further validation through in vivo experiments is required.
文章引用:周晶杰, 武云. DNPEP与ALDH18A1在胃癌中的表达特征及其对细胞增殖、迁移与侵袭的影响[J]. 临床医学进展, 2026, 16(8): 104-115. https://doi.org/10.12677/acm.2026.1682777

参考文献

[1] 汪丽伟, 赵强, 刘大勇, 等. MANF在钩藤碱抑制胃癌细胞恶性生物学行为中的作用及机制[J]. 中国药理学通报, 2025, 41(12): 2326-2333.
[2] 孟明阳, 龙欧丽, 阮晚元, 等. GPER1通过MYC通路调控巨噬细胞M2极化对胃癌进展的影响[J]. 细胞与分子免疫学杂志, 2026, 42(1): 1-11.
[3] Pham, V.K., Le, T.T.H., Hua, N.M., Pham, S.H., Hoang, V.H., Nguyen, T.K.O., et al. (2025) Ardisiaoside A, a New Triterpenoid Glycoside from Ardisia gigantifolia, Induces Cell Senescence and Targets Cancer Stem Cells in Gastric Cancer. Biomedicine & Pharmacotherapy, 193, Article ID: 118839.
https://doi.org/10.1016/j.biopha.2025.118839
[4] Kakodkar, P., More, S., András, K., Papakonstantinou, N., Kelly, S., Makrooni, M.A., et al. (2020) Aspartic Aminopeptidase Is a Novel Biomarker of Aggressive Chronic Lymphocytic Leukemia. Cancers, 12, Article No. 1876.
https://doi.org/10.3390/cancers12071876
[5] Geng, N., Zhang, W., Li, Y. and Li, F. (2019) Aspartyl Aminopeptidase Suppresses Proliferation, Invasion, and Stemness of Breast Cancer Cells via Targeting CD44. The Anatomical Record, 302, 2178-2185.
https://doi.org/10.1002/ar.24206
[6] Geng, N., Li, Y., Zhang, W., Wang, F., Wang, X., Jin, Z., et al. (2020) A PAK5-DNPEP-USP4 Axis Dictates Breast Cancer Growth and Metastasis. International Journal of Cancer, 146, 1139-1151.
https://doi.org/10.1002/ijc.32523
[7] Zhou, C., Yang, F., Li, C., Mao, H., Wang, K., Shang, J., et al. (2025) Detection of Aspartyl Aminopeptidase in Atherosclerosis Mice and Clinical Sample Using an Optical Probe. Materials Today Bio, 35, Article ID: 102391.
https://doi.org/10.1016/j.mtbio.2025.102391
[8] Zhao, C., Liu, W., Sun, W., Yu, H., Sheng, Z., Wang, J., et al. (2022) Activatable Self-Assembled Organic Nanotheranostics: Aspartyl Aminopeptidase Triggered NIR Fluorescence Imaging-Guided Photothermal/photodynamic Synergistic Therapy. Analytica Chimica Acta, 1231, Article ID: 340198.
https://doi.org/10.1016/j.aca.2022.340198
[9] Dymova, M.A., Vasileva, N.S., Kuligina, E.V., Savinovskaya, Y.I., Zinchenko, N.D., Ageenko, A.B., et al. (2022) MicroRNA and mRNA Expression Changes in Glioblastoma Cells Cultivated under Conditions of Neurosphere Formation. Current Issues in Molecular Biology, 44, 5294-5311.
https://doi.org/10.3390/cimb44110360
[10] Ren, H., Ge, D., Yang, Z., Cheng, Z., Zhao, S. and Zhang, B. (2025) Integrated Bioinformatics Analysis Identifies ALDH18A1 as a Prognostic Hub Gene in Glutamine Metabolism in Lung Adenocarcinoma. Discover Oncology, 16, Article No. 1.
https://doi.org/10.1007/s12672-024-01698-3
[11] Geng, X., Li, M., Zhang, L., Cai, Y., Chen, X., Mu, X., et al. (2025) P5CS Deacetylation Mediated by SIRT2 Facilitates Tumor Growth by Enhancing Mitochondrial Respiration in Hepatocellular Carcinoma. Oncogene, 44, 2746-2761.
https://doi.org/10.1038/s41388-025-03456-3
[12] Yongkang, W., Yisireyili, M., Abudureyimu, K. and Enomoto, A. (2025) ALDH18A1 Has Carcinogenic Functions and Regulates Alternative Splicing Events of DNA Repair-Related Genes in Esophageal Carcinoma Cells. Scientific Reports, 15, Article No. 28845.
https://doi.org/10.1038/s41598-025-08006-1
[13] Suman, S. (2025) Integrative Analysis of Radiation-Induced Senescence-Associated Secretory Phenotype Factors in Kidney Cancer Progression. Genes, 16, Article No. 85.
https://doi.org/10.3390/genes16010085
[14] Liu, D., Liu, L., Che, X. and Wu, G. (2025) Discovery of Paradoxical Genes: Reevaluating the Prognostic Impact of Overexpressed Genes in Cancer. Frontiers in Cell and Developmental Biology, 13, Article ID: 1525345.
https://doi.org/10.3389/fcell.2025.1525345
[15] Geng, P., Qin, W. and Xu, G. (2021) Proline Metabolism in Cancer. Amino Acids, 53, 1769-1777.
https://doi.org/10.1007/s00726-021-03060-1
[16] Tran, D., Nguyen, H., Pham, V., Nguyen, P., Nguyen Luu, H., Minh Phan, L., et al. (2025) A Comprehensive Review of Cancer Survival Prediction Using Multi-Omics Integration and Clinical Variables. Briefings in Bioinformatics, 26, bbaf150.
https://doi.org/10.1093/bib/bbaf150