Establishment of a highly metastatic model with a newly isolated lung adenocarcinoma cell line

Lung cancer is the leading cause of malignancy-related death worldwide, and metastasis always results in a poor prognosis. However, therapeutic progress is hampered by a deficiency of appropriate pre-clinical metastatic models. To bridge this experimental gap, we developed an in vivo metastatic model via subcutaneous (s.c.) injection. The original cell line (XL-2) adopted in this model was newly isolated from the ascites of a patient with extensive metastases of lung adenocarcinoma, thereby avoiding any alteration of its initial molecular biology features from artificial serial cultivation. After comprehensive phenotypical and histological analysis, it was identified as a lung adenocarcinoma cell line. Additionally, the drug test showed that XL-2 cell line was sensitive to docetaxel, and resistant to doxorubicin, indicating it might serve as a cell line model of drug resistance for identifying mechanisms of tumors resistant to doxorubicin. Through this s.c. model, we further obtained a highly metastatic cell line (designated XL-2sci). The metastatic rate of mice in XL-2 group was 3/10, in contrast to the rate of 9/10 in XL-2sci group. Optical imaging, micro-computed tomography (micro-CT) scanning and Transwell assays were further applied to identify the enhanced metastatic capacity of Xl-2sci cells both in vivo and in vitro. Compared with XL-2 cells, ITRAQ labeled proteomics profiling study showed that some tumor metastasis-associated proteins were upregulated in XL-2sci cells, which also indicated the reliability of our model. Proliferation ability of XL-2 and XL-2sci were also evaluated. Results showed that highly metastatic XL-2sci possessed a decreased proliferation capacity versus XL-2, which demonstrated that its increased metastatic activity was not facilitated by a faster growth rate. In conclusion, we successfully developed an in vivo metastatic model using a newly established lung adenocarcinoma cell line, which will be beneficial to further investigations of lung cancer metastasis and to the development of anti-metastasis drugs.