Literature DB >> 11930655

Gene expression profile differences in high and low metastatic human ovarian cancer cell lines by gene chip.

Shenhua Xu1, Hanzhou Mou, Guiquan Lü, Chihong Zhu, Zhengyan Yang, Yongliang Gao, Hongkun Lou, Xianglin Liu, Yong Cheng, Wen Yang.   

Abstract

OBJECTIVES: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

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Year:  2002        PMID: 11930655

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  7 in total

1.  Difference of gene expression profiles between esophageal carcinoma and its pericancerous epithelium by gene chip.

Authors:  Shen-Hua Xu; Li-Juan Qian; Han-Zhou Mou; Chi-Hong Zhu; Xing-Ming Zhou; Xiang-Lin Liu; Yong Chen; Wen-Yu Bao
Journal:  World J Gastroenterol       Date:  2003-03       Impact factor: 5.742

2.  Transcriptional gene expression profiles of HGF/SF-met signaling pathway in colorectal carcinoma.

Authors:  Xue-Nong Li; Yan-Qing Ding; Guo-Bing Liu
Journal:  World J Gastroenterol       Date:  2003-08       Impact factor: 5.742

3.  Expression of NGF family and their receptors in gastric carcinoma: a cDNA microarray study.

Authors:  Jian-Jun Du; Ke-Feng Dou; Shu-You Peng; Bing-Zhi Qian; Hua-Sheng Xiao; Feng Liu; Wei-Zhong Wang; Wen-Xian Guan; Zhi-Qing Gao; Ying-Bin Liu; Ze-Guang Han
Journal:  World J Gastroenterol       Date:  2003-07       Impact factor: 5.742

4.  Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: potential use in diagnosis and prognosis.

Authors:  Katherine R Kozak; Malaika W Amneus; Suzanne M Pusey; Feng Su; Mui N Luong; Sam A Luong; Srinivasa T Reddy; Robin Farias-Eisner
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-01       Impact factor: 11.205

5.  Polypeptide N-acetylgalactosaminyltransferase 2 regulates cellular metastasis-associated behavior in gastric cancer.

Authors:  Dong Hua; Li Shen; Lan Xu; Zhi Jiang; Yinghui Zhou; Aihuan Yue; Shitao Zou; Zhihong Cheng; Shiliang Wu
Journal:  Int J Mol Med       Date:  2012-09-18       Impact factor: 4.101

6.  Decreasing the ratio of matriptase/HAI‑1 by downregulation of matriptase as a potential adjuvant therapy in ovarian cancer.

Authors:  Pengming Sun; Zhongqing Jiang; Xiaofang Chen; Lifang Xue; Xiaodan Mao; Guanyu Ruan; Yiyi Song; Alexander Mustea
Journal:  Mol Med Rep       Date:  2016-06-23       Impact factor: 2.952

7.  Wilms' tumor 1 (WT1) promotes ovarian cancer progression by regulating E-cadherin and ERK1/2 signaling.

Authors:  Yun Han; Chao Song; Tingting Zhang; Qianqian Zhou; Xiaoqian Zhang; Jing Wang; Boqun Xu; Xuesen Zhang; Xiaoqiu Liu; Xiaoyan Ying
Journal:  Cell Cycle       Date:  2020-09-07       Impact factor: 4.534

  7 in total

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