Identification and chromosomal localizations of signal transduction genes associated with human ovarian cancer metastasis.

Gene chip technology can be used to identify and localize signal transduction genes associated with metastasis. We used the human genome U133A gene chip to detect differences in gene expression profiles among high (H) and low (L) metastatic human ovarian cancer cell lines (HO-8910PM, HO-8910), and normal ovarian tissues (C), to identify metastasis-associated signal transduction genes and determine their chromosomal localizations. A total of 37 signal transduction genes showed more than twofold differences in expression levels between the H and L metastatic ovarian cancer cell lines; of these, 21 genes were up-regulated [signal log ratio (SLR)≥1], and 16 genes were down-regulated (SLR≤-1). Most genes were located on chromosome 1 (7 genes, 18.9%), followed by chromosome 8 (5 genes, 13.5%), then chromosomes 6, 11, and 17 (3 genes each, 8.1%). A total of 21 of the differentially expressed genes (56.7%) were localized on the short arm of the chromosome (q). The disruption of signal transduction gene expression may be an important factor associated with ovarian cancer metastasis. The affected signal transduction genes were localized to chromosomes 1, 8, 6, 11, and 17.

Study of the metastasis-associated genes and its copy numbers variation in highly metastatic epithelial ovarian cancer / 中华妇产科杂志

Objective To investigate the relationship of the metastasis-associated genes and its copy numbers variation in the highly metastatic human epithelial ovarian cancer cell line HO-8910PM. Methods The differentially expressed genes and its copy number variation between HO-8910PM cell line and normal ovarian tissues was detected by human genome UI33A 2.0 gene chip and human mapping 10K array 2.0 gene chip, and the data was analyzed by bioinformatics. Some of metastasis-associated genes were validated the results of single nucleotide polymorphism (SNP) and cDNA chips by fluorescence in situ hybridization (FISH) and real-time quantitative PCR. Results Integrate analysis of two gene chips data showed that there were 385 differentially expressed genes in the same and 379 SNP positional point (6 of them, included 2 genes) between HO-8910PM cell line and normal ovarian tissues, these copy number amplification of 379 SNP positional point of chromosome were ≥3, which had 240, deletion ≤ 1 had 139. Chromosome location analysis showed that there were 385 differentially expressed genes located at all chromosomes, and 261 of them ( 67.8%, 261/385 ) located at 10 chromosomes, included that 34 (8.8% ), 33 ( 8.6% ), 28 (7.3%), 27 (7.0%), 25 (6.5%), 24 (6.2%) of them located at chromosome 3, 2, 9, 10, 1 and 11 respectively, and 23 (6.0%) of them at chromosome 6 and 12 each, 22 (5.7%) of them at chromosome 4 and 5 each. For the function of differentially expressed genes, the results showed that 99 (25.7% ) genes belonged to the family of enzymes and their regulators, 54 ( 14.0% ) genes associated with signal transduction, 50 (13.0%) genes associated with nucleic acid binding, and 36 (9.4%) genes associated with protein binding. Conclusion We have demonstrated that there are 4 kinds of differentially expressed genes related to metastasis of ovarian cancer, which belonged to the families enzyme and its regulator, nucleic acid binding, signal transduction and protein binding, and located at chromosome 1, 2, 3, 4, 5, 6, 9, 10, 11 and 12.

Application of WCX magnetic bead for serum proteome profiling in cervical squamous cell carcinomas and its clinical significance / 基础医学与临床

Objective To analyze the serum proteomic pattern of the cervical cancer patients,to develope diagnostic model and to evaluate its clinical significance.Methods WCX magnetic bead and MALDI-TOF were used to detect the serum proteomic pattern of 77 patients with cervical squanmous cell carcinomas,13 patients with CINⅢ and 52 healthy women.Biomarker Wizard software was used to detect protein peaks and potential difference between cervical cancer and controls.The model was developed by Biomarker Patterns software.Results A diagnostic pattern consisting of three differential protein peaks was established with 100%(32/32)sensitivity and 93.8%(30/32)specificity.A sensitivity of 77.8%(35/45)and a specificity of 75%(15/20)in blind test were obtained.The diagnostic model also could discriminate CINⅢ and SCC-Ag negative patients from controls.Conclusion The diagnostic pattern combining 3974,3398,13732m/z protein peaks can discriminate not only cervical squamous cell cancer but also CINⅢ and SCC-Ag negative patients from controls.

Gene expression profile differences in high and low metastatic human ovarian cancer cell lines by gene chip / 中华医学杂志(英文版)

<p><b>OBJECTIVES</b>To study the difference between gene expressions of high (H0-8910PM) and low (HO-8910) metastatic human ovarian carcinoma cell lines and screen novel associated genes by cDNA microarray.</p><p><b>METHODS</b>cDNA retro-transcribed from equal quantities of mRNA derived from high and low metastatic tumor cells or normal ovarian tissues were labeled with Cy5 and Cy3 fluorescein as probes. The mixed probe was hybridized with two pieces of BioDoor 4096 double dot human whole gene chip and scanned with a ScanArray 3000 laser scanner. The acquired image was analyzed by ImaGene 3.0 software.</p><p><b>RESULTS</b>A total of 355 genes with expression levels more than 3 times larger were found by comparing the HO-8910 cell with normal ovarian epithelial cells. A total of 323 genes with expression levels more than 3 times larger in HO-8910PM cells compared to normal ovarian epithelium cells were also detected. A total of 165 genes whose expression levels were more than two times those of HO-8910PM cells compared to their mother cell line (HO-8910) were detected. Twenty-one genes with expression levels > 3 times were found from comparison of these two tumor cell lines.</p><p><b>CONCLUSIONS</b>cDNA microarray techniques are effective in screening differential gene expression between two human ovarian cancer cell lines (H0-8910PM; HO-8910) and normal ovarian epithelial cells. These genes may be related to the genesis and development of ovarian carcinoma. Analysis of the human ovarian cancer gene expression profile with cDNA microarray may help in gene diagnosis, treatment and prevention.</p>