Literature DB >> 29808801

Influence of the vaccinating density of A549 cells on tumorigenesis and distant organ metastasis in a lung cancer mice model.

Xiaomei Zhang1, Yan Liu1, Xu Peng1, Ye Zeng2, Liang Li2, Jingge Wang2, Xueling He1.   

Abstract

Lung metastasis of malignant tumors, such as lung carcinoma, is a major cause of cancer-related deaths worldwide. The commonly used lung tumor models were established by subcutaneous or intravenous injection of the non-small cell lung cancer cell line A549 in mice. However, the influence of cell densities on tumorigenesis and distant organ metastasis remains poorly investigated. In this study, A549 cells were subcutaneously injected into mice at 1 × 107 cells/mL, 5 × 106 cells/mL, and 1 × 106 cells/mL or intravenously at 1 × 106 cells/mL, 5 × 106 cells/mL, and 1 × 106 cells/mL. Then, histology analysis, immunohistochemistry staining, and in-situ TUNEL assay were performed to evaluate tumor growth and metastasis. Results showed that subcutaneously injecting the A549 cells could develop tumors and that fewer apoptotic cells were found in the 5 × 106 cells/mL group than in the other two groups. In groups intravenously injected with A549 cells, there were tumor nodules in all groups, and the 1 × 105 cells/mL group showed longer survival time than the other two groups without any distant organ metastasis. There were tumor nodules formed in the liver in the 1 × 106 cells/mL group at 14 d. Together, our results demonstrated that 5 × 106 cells/mL and 1 × 105 cells/mL are the optimal cell concentrations for the subcutaneous and experimental metastatic models, respectively.

Entities:  

Keywords:  Lung cancer model; Organ metastasis.; Tumor growth; Vaccinating density

Mesh:

Year:  2018        PMID: 29808801

Source DB:  PubMed          Journal:  Cell Mol Biol (Noisy-le-grand)        ISSN: 0145-5680            Impact factor:   1.770


  1 in total

1.  Cancer inhibition mechanism of lung cancer mouse model based on dye trace method.

Authors:  Wei Zhang; Hongyan Shu; Lixin Fang; Ning Tang; Yucai Li; Bingrong Guo; Fanhui Meng
Journal:  Saudi J Biol Sci       Date:  2020-01-03       Impact factor: 4.219

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.