Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from non-metastatic and metastatic osteosarcoma cells

ABSTRACT: Osteosarcoma (OS) is the malignant bone tumor with a high tendency to metastasize to the lung, where the molecular mechanisms are unclear. The mouse OS cell line LM8 has been isolated originally from the Dunn OS cell line by in vivo selection as a subline with a high metastatic potential to the lung. We used gene chip-based global gene expression analysis of differential screening between parental Dunn and LM8 cells in order to reveal genes predominantly expressed in LM8 cells, which correlate with high metastatic potential. 2 cell lines

ORGANISM(S): Mus musculus

SUBMITTER: Takeshi Kashima

PROVIDER: E-GEOD-26648 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Stable knockdown of S100A4 suppresses cell migration and metastasis of osteosarcoma.

Fujiwara Masahiko M Kashima Takeshi G TG Kunita Akiko A Kii Isao I Komura Daisuke D Grigoriadis Agamemnon E AE Kudo Akira A Aburatani Hiroyuki H Fukayama Masashi M

Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine 20110301 3

S100A4, a 10-12 kDa calcium-binding protein, plays functional roles in tumor progression and metastasis. The present study aimed to investigate the function of S100A4 in osteosarcoma (OS) metastasis, using a loss-of-function approach. Our previous expression profiling analysis revealed that S100a4 was preferentially expressed in the highly metastatic mouse OS cell line, LM8. Introducing a short hairpin ribonucleic acid (shRNA) targeting S100a4 using a newly established vector containing insulato ...[more]

PMID: 21360024

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Project description:Background Osteosarcoma (OS) is the most common malignant bone tumor in children and adolescents. The survival rate of patients with metastatic disease remains very dismal. Nevertheless, metastasis is a complex process and a single-level analysis is not likely to identify its key biological determinants. In this study, we used a systems biology approach to identify common metastatic pathways that are jointly supported by both mRNA and protein expression data in two distinct human metastatic OS models. Results mRNA expression microarray and N-linked glycoproteomic analyses were performed on two commonly used isogenic pairs of human metastatic OS cell lines, namely HOS/143B and SaOS-2/LM7. Pathway analysis of the differentially regulated genes and glycoproteins separately revealed pathways associated to metastasis including cell cycle regulation, immune response, and epithelial-to-mesenchymal-transition. However, no common significant pathway was found at both genomic and proteomic levels between the two metastatic models, suggesting a very different biological nature of the cell lines. To address this issue, we used a topological significance analysis based on a “shortest path” algorithm to identify topological nodes, which uncovered additional biological information with respect to the genomic and glycoproteomic profiles but remained hidden from the direct analyses. Pathway analysis of the significant topological nodes revealed a striking concordance between the models and identified significant common pathways, including “Cytoskeleton remodeling/TGF/WNT”, “Cytoskeleton remodeling/Cytoskeleton remodeling”, and “Cell adhesion/Chemokines and adhesion”. Of these, the “Cytoskeleton remodeling/TGF/WNT” was the top ranked common pathway from the topological analysis of the genomic and proteomic profiles in the two metastatic models. The up-regulation of proteins in the “Cytoskeleton remodeling/TGF/WNT” pathway in the SaOS-2/LM7 and HOS/143B models was further validated using an orthogonal Reverse Phase Protein Array platform. Conclusions In this study, we used a systems biology approach by integrating genomic and proteomic data to identify key and common metastatic mechanisms in OS. The use of the topological analysis revealed hidden biological pathways that are known to play critical roles in metastasis. Wnt signaling has been previously implicated in OS and other tumors, and inhibitors of Wnt signaling pathways are available for clinical testing. Further characterization of this common pathway and other topological pathways identified from this study may lead to a novel therapeutic strategy for the treatment of metastatic OS. In this study we analyzed two human metastatic OS cell lines and their parental non-metastatic lines. The two human metastatic OS cell line models were HOS/143B and SaOS-2/LM7. The HOS cell line, originally known as M.T. and later as TE-85, was derived from an OS of a 13 year-old girl. The 143B metastatic subline was generated from HOS by a Ki-RAS oncogene transformation [Rhim, J.S., et al., Characterization of human cells transformed in vitro by N-methyl-N'-nitro-N-nitrosoguanidine. Int J Cancer, 1977. 19(4): p. 505-10.]. The SaOS-2 cell was derived from an OS of an 11 year-old girl, and its metastatic subline LM7, was developed by multiple in vivo selection of SaOS-2 cells in mice with pulmonary metastases [Jia, S.F., L.L. Worth, and E.S. Kleinerman, A nude mouse model of human osteosarcoma lung metastases for evaluating new therapeutic strategies. Clin Exp Metastasis, 1999. 17(6): p. 501-6.]. No replicates were included.

Dataset Information

Expression data from non-metastatic and metastatic osteosarcoma cells

Publications

Stable knockdown of S100A4 suppresses cell migration and metastasis of osteosarcoma.

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