| Literature DB >> 34830111 |
Junfeng Ke1,2,3, Wenzhao Han1,2,3, Fanwei Meng1,2,3, Feng Guo1,2,3, Yuhong Wang1,2,3, Liping Wang1,2,3.
Abstract
Although some breast cancer patients die due to tumor metastasis rather than from the primary tumor, the molecular mechanism of metastasis remains unclear. Therefore, it is necessary to inhibit breast cancer metastasis during cancer treatment. In this case, after designing and synthesizing CTI-2, we found that CTI-2 treatment significantly reduced breast cancer cell metastasis in vivo and in vitro. Notably, with the treatment of CTI-2 in breast cancer cells, the expression level of E-cadherin increased, while the expression level of N-cadherin and vimentin decreased. In addition, after CTI-2 treatment, those outflow levels for p-ERK, p-p38, and p-JNK diminished, while no significant changes in the expression levels of ERK, JNK, or p38 were observed. Our conclusion suggested that CTI-2 inhibits the epithelial-mesenchymal transition (EMT) of breast carcinoma cells by inhibiting the activation of the mitogen-activated protein kinase (MAPK) signaling pathway, thereby inhibiting the metastasis of breast tumor cells. Therefore, we believe that CTI-2 is another candidate for breast tumor medication.Entities:
Keywords: EMT; MAPK; breast cancer; metastasis
Mesh:
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Year: 2021 PMID: 34830111 PMCID: PMC8622910 DOI: 10.3390/ijms222212229
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Molecular structure of CTI-2. (A) Compound 1 obtains CTI-2 through a multi-step reaction. (B) Molecular structure and NMR spectrum of CTI-2. (C) Mass spectrometry of CTI-2. (D) Cells were processed with CTI-2 for 24 h and the viability was detected by MTT assay. Each value is expressed as the mean ± standard deviation (SD) (n = 3).
Figure 2CTI-2 affected the migration of breast carcinoma cells. (A,C) Images of breast cancer cells incubated with CTI-2 for 24 h scratching were captured (Scale bar: 200 µm). (B,D) Assess the ability of CTI-2 to inhibit the closure of specified cell gaps through Image J. (E–H) Breast cancer cells were treated with CTI-2 and Transwell analysis was carried out. After culturing for 24 h, the metastasis cells were imaged and measured (Scale bar: 50 µm). Each value is expressed as the mean ± SD (n = 3).
Figure 3Cells were incubated with or without CTI-2 for 24 h, and the expression of the specified protein in the corresponding group was observed by qRT-PCR (A) and western blot (B). Statistics on the expression of EMT regulatory proteins (C). GAPDH as an internal reference. (D) Immunofluorescence staining image of the corresponding group of cells. (Scale bar: 30 µm) Blue indicates the nucleus and green represents the protein. Each value is expressed as the mean ± SD (n = 3).
Figure 4Various pathways were affected by the treatment of CTI-2. (A) The volcano plot (p < 0.05, fold change ≥1.5). (B) GO analysis of genes significantly regulated in CTI-2 treated MDA-MB-231 cells. (C) KEGG pathway analysis to determine the main pathways that may be involved in the process.
Figure 5CTI-2 inhibits phosphorylation of MAPK pathway protein in breast tumor cells. Cells were dealt with or without CTI-2 for 24 h (A) and the expression of MAPK-related molecules in the corresponding group was analyzed by western blotting. GAPDH as an internal reference. (B) Statistical analysis of the expression of the above specified proteins. Each value is expressed as the mean ±SD (n = 3).
Figure 6CTI-2 impeded the metastasis of human breast carcinoma cells in vivo. (A) Schematic demonstrating the metastasis assay model in vivo. (B) After 3 weeks of injecting breast cancer cells (MDA-MB-231) through the tail vein, there were macroscopically visible lung metastatic nodules in BALB/c mice. (C) The number of metastatic nodules. (D) Statistical analysis of the weight of the lungs of each group of mice. (E) Representative images of H&E staining for histological analysis of lung (×200 magnification) (Scale bar: 50 µm). Black arrows indicate larger metastatic lesions. Scale bar, 50 µm. Each value is expressed as the mean ± SD (n = 5).