Expression data from non-metastatic and metastatic osteosarcoma cells
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE26648 | GEO | 2011/03/04
SECONDARY ACCESSION(S): PRJNA136381
REPOSITORIES: GEO
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Project description: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
2011-03-04 | E-GEOD-26648 | biostudies-arrayexpress
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.
2012-04-24 | E-GEOD-37552 | biostudies-arrayexpress
Project description:Despite progress in intensification of therapy, outcomes for patients with metastatic osteosarcoma (OS) have not improved in thirty years. We developed a system that enables preclinical screening of compounds against metastatic OS cells in the context of the native lung microenvironment. Using this strategy to screen a library of epigenetically-targeted compounds, we identified inhibitors of CDK12 to be most effective, reducing OS cell outgrowth in the lung by >90% at sub-micromolar doses. CDK12 inhibition led to defects in transcription elongation in a gene length- and expression-dependent manner. These effects were accompanied by defects in RNA processing and altered the expression of genes involved in transcription regulation and the DNA damage response. We further identify OS models that differ in their sensitivity to CDK12 inhibition in the lung and provide evidence that upregulated MYC levels may mediate these differences. Our studies provide a framework for rapid preclinical testing of compounds with anti-metastatic activity and highlight CDK12 as a potential therapeutic target in osteosarcoma.
2019-06-06 | GSE132233 | GEO
Project description:Comparison of L1 high metastatic subline (C10F4) to low metastatic subline (C9F6) and normal lung cells from mouse
2021-02-07 | E-MTAB-6512 | biostudies-arrayexpress
Project description:Analysis of two metastatic OS cell lines, KHOS and KRIB, and two non-metastatic OS cell lines, HOS and U2OS. Results show differences in gene expression between cell lines with different ability to metastasise in vivo. Each of the four cell lines were analyzed in tripicate. Total RNA was extracted from each triplicate cell line culture with Trizol. cRNA was amplified using the Ambion Illumina Total Prep RNA Amplification Kit. Concentration was determined in NanoDrop and qulity checked in the Agilent Bioanalyzer, before hybridizing to Illumina HT-12 BeadChip Array.
2013-07-19 | E-GEOD-49003 | biostudies-arrayexpress
Project description:Analysis of two metastatic OS cell lines, KHOS and KRIB, and two non-metastatic OS cell lines, HOS and U2OS. Results show differences in gene expression between cell lines with different ability to metastasise in vivo.
2013-07-19 | GSE49003 | GEO
Project description:This laboratory's focus is on the immune response to carbohydrate antigens, with an emphasis on modalities to analyze and to increase the immune response. We are also interested in carbohydrate drug targeting. The hypothesis is that these 2 variants have different cell surface carbohydrate expression, which results in different adhesion patterns, which ultimately results in different metastasis patterns. Evidence for expression differences and loss of the variants ability to metastasize to the lung could have clinical implications in the prevention of metastasis to different organs. The 4T1 mouse metastatic breast cancer cell line is known to change with passages in culture. Our data has shown changes cause the cells to metastasize to the intestine rather than to the lung. Four classes of RNA were analyzed: one each from 4T1 metastatic cell line variant #1, 4T1 variant #2, non-metastatic cell lines 4T07, and non-metastatic cell line 67NR. Classes were prepared in triplicate for a total of 12 samples. All samples were hybridized to the custom designed CFG GLYCOv2 glycogene array.
2011-02-17 | E-GEOD-27354 | biostudies-arrayexpress
Project description:To investigate whether IDO1 participated in OS malignant progression through miRNA, we selected non-metastatic OS cell line (MG63), metastatic OS cell line (143B) and non-tumorigenic immortalized osteoblastic hFOB1.19 cell line as the research object. Over Expression cell lines are contructed and exosomal miRNAs from both control and OE cell lines are sequenced to find out the differences in expression in the exosomes secreted from IDO1 overexpressing and WT cells.
2023-05-14 | GSE232452 | GEO
Project description:We describe the lncRNA expression profiles of two HCC cell lines, one with high potential for metastasis to the lung (HCCLM3) and the other to lymph nodes (HCCLYM-H2). The HCCLM3(LM3) and HCCLM6 cell lines were derived from the same parental cell line MHCC-97H. LM3 metastasizes to the lung, while HCCLM6 can metastasize to multiple organs in a mouse model. By subcloning HCCLM6, we established the HCCLYM-H2(H2) cell line, which showed stable and high metastatic potential specific to the lymph nodes. In the present study, we compared the expression profiles of HCC cell lines with a similar genetic background but different potential for lung or lymph node metastasis. We found that expression signatures comprising lncRNAs and protein-coding mRNAs were significantly associated with organ-specific HCC metastasis. To further validate microarray data, we selected six lncRNAs (CR613944, BC058547, RP5-1014O16.1, NCRNA00173, lincRNA-CALCA, lincRNA-TSPAN8) and two mRNAs (TSPAN8, CALCB) in the two HCC cell lines using qRT-PCR. Data obtained from qRT-PCR and the microarray was consistent. Differentially expressed lncRNAs between high lymphatic metastatic potential HCC cell H2 and high lung metastatic potiential HCC cell LM3 were identified by microarray and validated using quantitative real-time polymerase chain reaction.
2014-09-03 | E-GEOD-61015 | biostudies-arrayexpress
Project description:Osteosarcoma (OS) is the most common primary bone tumour in children and young adults, and the second highest cause of cancer-related death in this age group. In spite of aggressive chemotherapy, disease-free survival has not improved significantly in the past 20 years, and 50% of patients subsequently develop fatal pulmonary metastasis. We have performed gene expression profiling of primary osteosarcoma biopsies (i) to identify prognostic markers, and (ii) to identify novel therapeutic targets. Keywords: Comaprison between disease status (metastatic vs non-metastatic) and normal Two-colour experiment. 7 samples for non-metastatic patients, 6 of which are analyzed in duplicate (dye-swaps); 11 samples for metastatic patients, 10 of which are analyzed in duplicate (dye-swaps); 5 samples of non-malignant bone analyzed individualy, no dye-swaps (i.e. 5 biological replicates).
2010-08-30 | E-GEOD-9508 | biostudies-arrayexpress