Affymetrix U133A oligonucleotide microarrays were used to study the differences of gene expressions between high （H） metastatic ovarian cancer cell line, HO-8910PM, and normal ovarian tissues （C）. Bioinformatics w...Affymetrix U133A oligonucleotide microarrays were used to study the differences of gene expressions between high （H） metastatic ovarian cancer cell line, HO-8910PM, and normal ovarian tissues （C）. Bioinformatics was used to identify their chromosomal localizations. A total of 1,237 genes were found to have a difference in expression levels more than eight times. Among them 597 were upregulated [Signal Log Ratio （SLR） ≥3], and 640 genes were downregulated （SLR≤-3）. Except one gene, whose location was unknown, all these genes were randomly distributed on all the chromosomes. However, chromosome 1 contained the most differentially expressed genes （115 genes, 9.3%）, followed by chromosome 2 （94 genes, 7.6%）, chromosome 12 （88 genes, 7.1%）, chromosome 11 （76 genes, 6.1%）, chromosomes X （71 genes, 5.7%）, and chromosomes l7 （69 genes, 5.6%）. These genes were localized on short-arm of chromosome （q）, which had 805 （65.1%） genes, and the short arms of No.13, 14, 15, 21, and 22 chromosomes were the only parts of the chromosomes where the differentially expressed genes were localized. Functional classification showed that most of the genes （306 genes, 24.7%） belonged to the enzymes and their regulator groups. The subsequent group was the nucleic acid binding genes （144 genes, 11.6%）. The rest of the top two groups were signal transduction genes （137 genes, 11.1%） and proteins binding genes （116 genes, 9.4%）. These comprised 56.8% of all the differentially expressed genes. There were also 207 genes whose functions were unknown （16.7 %）. Therefore it was concluded that differentially expressed genes in high metastatic ovarian cancer cell were supposed to be randomly distributed across the genome, but the majority were found on chromosomes 1, 2, 12, 11, 17, and X. Abnormality in four groups of genes, including in enzyme and its regulator, nucleic acid binding, signal transduction and protein binding associated genes, might play important roles in ovarian cancer metastasis. Those genes need to be further studied.展开更多
Objective: To establish a nude mice model of human osteosarcoma lung metastasis. Methods: The growth of human osteosarcoma cell sublines M8 and M6 was determined by MTT assay. 2 × 107 cells were injected into the...Objective: To establish a nude mice model of human osteosarcoma lung metastasis. Methods: The growth of human osteosarcoma cell sublines M8 and M6 was determined by MTT assay. 2 × 107 cells were injected into the tail vein of nude mice. Mice were sacrificed started on week 4 after injection, and lung metastases were evaluated under both mac-roscopic and microscopic observation with HE staining. Results: The growth of low-metastatic subline M6 was lower than high-metastatic sublines M8. Seventeen mice after injected M8 had occurred lung metastases while only one mice had oc-curred in M6 group. Moreover, M8 cells within metastases were arrangement disorder with variable nuclear hyperchromasia. Conclusion: A mouse model for human osteosarcoma cancer lung metastasis can be established by injection different ability of metastasis MG63 cells into tail vein.展开更多
Objective:To detect the expression of RECK gene in the highly and low metastatic cell sublines of human osteosarcoma cell HOS and explore its possible roles on the occurrence and metastasis of osteosarcoma.Methods:RT-...Objective:To detect the expression of RECK gene in the highly and low metastatic cell sublines of human osteosarcoma cell HOS and explore its possible roles on the occurrence and metastasis of osteosarcoma.Methods:RT-PCR, gelatin zymography, and matrigel invasion assay were respectively used to evaluate the endogenous expression of RECK mRNA, MMP-2 activation ratio and invasive capacity in the two osteosarcoma cell sublines.Results:The highly metastatic cell group expressed significantly lower mRNA level of RECK than the low metastatic cell group(P < 0.05), but showed higher MMP-2 activation ratio and invasive capacity(P < 0.05 and P < 0.01, respectively).Conclusion:The abnormal low expression of RECK may participate in osteosarcoma invasion and metastasis, and may be a new therapeutic target for osteosarcoma.展开更多
基金National Natural Science Foundation of China (No. 30471819).
文摘Affymetrix U133A oligonucleotide microarrays were used to study the differences of gene expressions between high （H） metastatic ovarian cancer cell line, HO-8910PM, and normal ovarian tissues （C）. Bioinformatics was used to identify their chromosomal localizations. A total of 1,237 genes were found to have a difference in expression levels more than eight times. Among them 597 were upregulated [Signal Log Ratio （SLR） ≥3], and 640 genes were downregulated （SLR≤-3）. Except one gene, whose location was unknown, all these genes were randomly distributed on all the chromosomes. However, chromosome 1 contained the most differentially expressed genes （115 genes, 9.3%）, followed by chromosome 2 （94 genes, 7.6%）, chromosome 12 （88 genes, 7.1%）, chromosome 11 （76 genes, 6.1%）, chromosomes X （71 genes, 5.7%）, and chromosomes l7 （69 genes, 5.6%）. These genes were localized on short-arm of chromosome （q）, which had 805 （65.1%） genes, and the short arms of No.13, 14, 15, 21, and 22 chromosomes were the only parts of the chromosomes where the differentially expressed genes were localized. Functional classification showed that most of the genes （306 genes, 24.7%） belonged to the enzymes and their regulator groups. The subsequent group was the nucleic acid binding genes （144 genes, 11.6%）. The rest of the top two groups were signal transduction genes （137 genes, 11.1%） and proteins binding genes （116 genes, 9.4%）. These comprised 56.8% of all the differentially expressed genes. There were also 207 genes whose functions were unknown （16.7 %）. Therefore it was concluded that differentially expressed genes in high metastatic ovarian cancer cell were supposed to be randomly distributed across the genome, but the majority were found on chromosomes 1, 2, 12, 11, 17, and X. Abnormality in four groups of genes, including in enzyme and its regulator, nucleic acid binding, signal transduction and protein binding associated genes, might play important roles in ovarian cancer metastasis. Those genes need to be further studied.
基金Supported by a grant from the 973 National Great Foundation Research Program of China (No. 2002CB513100).
文摘Objective: To establish a nude mice model of human osteosarcoma lung metastasis. Methods: The growth of human osteosarcoma cell sublines M8 and M6 was determined by MTT assay. 2 × 107 cells were injected into the tail vein of nude mice. Mice were sacrificed started on week 4 after injection, and lung metastases were evaluated under both mac-roscopic and microscopic observation with HE staining. Results: The growth of low-metastatic subline M6 was lower than high-metastatic sublines M8. Seventeen mice after injected M8 had occurred lung metastases while only one mice had oc-curred in M6 group. Moreover, M8 cells within metastases were arrangement disorder with variable nuclear hyperchromasia. Conclusion: A mouse model for human osteosarcoma cancer lung metastasis can be established by injection different ability of metastasis MG63 cells into tail vein.
文摘Objective:To detect the expression of RECK gene in the highly and low metastatic cell sublines of human osteosarcoma cell HOS and explore its possible roles on the occurrence and metastasis of osteosarcoma.Methods:RT-PCR, gelatin zymography, and matrigel invasion assay were respectively used to evaluate the endogenous expression of RECK mRNA, MMP-2 activation ratio and invasive capacity in the two osteosarcoma cell sublines.Results:The highly metastatic cell group expressed significantly lower mRNA level of RECK than the low metastatic cell group(P < 0.05), but showed higher MMP-2 activation ratio and invasive capacity(P < 0.05 and P < 0.01, respectively).Conclusion:The abnormal low expression of RECK may participate in osteosarcoma invasion and metastasis, and may be a new therapeutic target for osteosarcoma.
