Project description:Using a multiorgan metastasis model of human NSCLC cells (ACC-LC319/bone2) in NK cell-depleted SCID mice, we attempted to identify genes involved in the organ-selective nature of lung cancer-metastasis process, especially bone metastasis. Genome-wide gene expression profile of 15 metastatic lesions from three organs (bone, lung and liver) in this mouse model revealed lot of genes that seemed to reflect the organ specificity of metastatic cells. Among bone-specifically-expressed genes, dozen of genes involved in cell adhesion, cytoskeleton/cell motility, extracellular matrix remodeling, and cell-cell signaling. The upregulation of 11 genes, some of them were either previously reported to be involved in metastatic characteristics, were confirmed by quantitative RT-PCR. The high ability for bone metastasis human lung adenocarcinoma cell line ACC-LC319/bone2 was established in our laboratory from the parental cell line ACC-LC319 (a kind gift from Dr T. Takahashi, Nagoya University, Nagoya, Japan). ACC-LC319 cells with low capacity of bone metastatic ability were selected in vivo for two cycles in bone metastasis mouse models. After two cycles of selection, the derivative cell line designated as ACC-LC319/bone2 showed increased bone metastatic ability compared to parental cell line (Otsuka S., Oncol Res 2009). In this multiorgan metastasis model, SCID mice were depleted NK cells, and two days later, these mice were intravenously injected 1x10^6 cells. The mice were followed up for clinical symptoms and signs of metastases, and were sacrificed on day 34 after tumor inoculation. Metastastic tissues in lung, liver and bone were collected and snap frozen in liquid nitrogen then keep at -80C until cryosection. Laser microbeam microdissection was used to capture pure population of cancer cells in each organ as well as mouse normal tissues in corresponding organ (i.e. the surrounding normal tissues with no microscopic metastasis). Totally, there were 19 samples, including one sample for metastases in each organ (bone, lung and liver) in five mice (i.e., 15 samples); one for each normal mouse tissue (i.e.,three samples); and one for the in vitro cell line (ACC-LC319/bone 2). DNA microarray were performed using Agilent platform, and the gene expression profile of metastases in bone were compared with the gene expression profile of metastases in other two organs (lung, liver). Those genes whose expression in mouse normal tissues was above the cut off value were excluded. The expression of genes in the in vitro cells was used as the universal normalization for the in vivo genes expression.

Project description:Bone is a frequent target of lung cancer metastasis, which is associated with significant morbidity and a dismal prognosis. To identify and functionally characterize genes involved in the mechanisms of osseous metastasis we developed a murine lung cancer model. Comparative transcriptomic analysis identified genes encoding signaling molecules (such as TCF4 and PRKD3), and cell anchorage related proteins (MCAM, and SUSD5), some of which were basally modulated by TGFbeta in tumor cells and in conditions mimicking tumor-stroma interactions. Triple gene combinations induced not only high osteoclastogenic activity but also a marked enhancement of global metalloproteolytic activities in vitro. These effects were strongly associated with robust bone colonization in vivo, whereas this gene subset was ineffective in promoting local tumor growth and cell homing activity to bone. Interestingly, global inhibition of metalloproteolytic activities and simultaneous TGFbeta blockade in vivo led to increased survival and a remarkable attenuation of bone tumor burden and osteolytic metastasis. Thus, this metastatic gene signature mediates bone-matrix degradation by a dual mechanism of induction of TGFbeta-dependent osteoclastogenic bone resorption and enhancement of stroma-dependent metalloproteolytic activities. Our findings suggest the cooperative contribution of host-derived and cell-autonomous effects directed by a small subset of genes in mediating aggressive osseous colonization. Experiment Overall Design: Human highly metastatic cell lines derived from Non-Small Cell Lung Carcinoma (NSCLC) with specific bone tropism. Cell lines were selected by induction of prominent bone metastases lesions. The metastatic lines were systematically and accurately discriminate using 3 complementary parameters: survival curves of newly injected mice; computerized image analysis of bone metastatic areas; conspicuous SCCs derived from each animal (10 mice/group). Experiment Overall Design: Genome-wide expression analysis was done using 13 microarrays, corresponding to 4 samples of control non-metastatic cell lines and 9 samples of 3 different highly metastatic cell lines (M1, M4, M5) each with 3 biological replicates. Moreover, in each microarray pools of 3 groups of the corresponding cells were used.

Project description:The paper describes a model of tumor invasion to bone marrow. Created by COPASI 4.26 (Build 213) This model is described in the article: Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles Kun-Wan Chen, Kenneth J Pienta Theoretical Biology and Medical Modelling 2011, 8:36 Abstract: Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact). Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells. Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Genome-wide gene expression profiling analysis of bone metastases of human non-small cell lung cancer (NSCLC) in mice

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