Global analysis of gene expression in invasion by a lung cancer model

Jeremy J.W. Chen, Konan Peck, Tse Ming Hong, Shuenn Chen Yang, Yuh Pyng Sher, Jin Yuan Shih, Reen Wu, Jing Long Cheng, Steve R. Roffler, Cheng Wen Wu, Pan Chyr Yang

研究成果: Article

161 引文 (Scopus)

摘要

Metastasis is a complicated multistep process that involves interactions between cancer cells and their surrounding microenvironments. Previously, we have established a series of lung adenocarcinoma cell lines with varying degrees of invasiveness. Tracheal graft assay confirmed that cell lines with higher in vitro invasiveness had greater in vivo invasive potential. In this study, we used these model cell lines to identify invasion-associated genes using cDNA microarray with colorimetric detection. A more invasive subline, CL 1-5-F 4, derived from metastatic lung tumor of severe combined immunodeficient mice inoculated with CL 1-5 cells, was combined with CL 1-0, CL 1-1, and CL 1-5 in cDNA microarray screening. cDNA microarray membranes, each containing 9600 nonredundant expressed sequence tag clones, were used to identify differentially expressed genes in these cell lines. For statistical analysis, self-organizing map algorithm was performed to identify the expression patterns. Positive correlation between gene expression levels and cell line invasiveness was found in 2.9% of the 9600 putative genes. On the other hand, negative correlation was found in 3.3% of the genes. The trends of expression of some of the genes were also confirmed by Northern hybridization and flow cytometry. Our data demonstrated that genes related to cell adhesion, motility, angiogenesis, signal transduction, and some other expressed sequence tag genes may play significant roles in the metastasis process. These results substantiate the model system with which one can identify invasion-associated genes by using cDNA microarray and cancer cell lines of different invasiveness. This technique may allow us to explore complex interactions between multiple genes that orchestrate the process of cancer metastasis.

原文English
頁(從 - 到)5223-5230
頁數8
期刊Cancer Research
61
發行號13
出版狀態Published - 2001 七月 1

指紋

Lung Neoplasms
Gene Expression
Oligonucleotide Array Sequence Analysis
Cell Line
Genes
Expressed Sequence Tags
Neoplasm Metastasis
Neoplasms
SCID Mice
Cell Adhesion
Cell Movement
Signal Transduction
Flow Cytometry
Clone Cells
Transplants
Lung
Membranes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

引用此文

Chen, J. J. W., Peck, K., Hong, T. M., Yang, S. C., Sher, Y. P., Shih, J. Y., ... Yang, P. C. (2001). Global analysis of gene expression in invasion by a lung cancer model. Cancer Research, 61(13), 5223-5230.
Chen, Jeremy J.W. ; Peck, Konan ; Hong, Tse Ming ; Yang, Shuenn Chen ; Sher, Yuh Pyng ; Shih, Jin Yuan ; Wu, Reen ; Cheng, Jing Long ; Roffler, Steve R. ; Wu, Cheng Wen ; Yang, Pan Chyr. / Global analysis of gene expression in invasion by a lung cancer model. 於: Cancer Research. 2001 ; 卷 61, 編號 13. 頁 5223-5230.
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abstract = "Metastasis is a complicated multistep process that involves interactions between cancer cells and their surrounding microenvironments. Previously, we have established a series of lung adenocarcinoma cell lines with varying degrees of invasiveness. Tracheal graft assay confirmed that cell lines with higher in vitro invasiveness had greater in vivo invasive potential. In this study, we used these model cell lines to identify invasion-associated genes using cDNA microarray with colorimetric detection. A more invasive subline, CL 1-5-F 4, derived from metastatic lung tumor of severe combined immunodeficient mice inoculated with CL 1-5 cells, was combined with CL 1-0, CL 1-1, and CL 1-5 in cDNA microarray screening. cDNA microarray membranes, each containing 9600 nonredundant expressed sequence tag clones, were used to identify differentially expressed genes in these cell lines. For statistical analysis, self-organizing map algorithm was performed to identify the expression patterns. Positive correlation between gene expression levels and cell line invasiveness was found in 2.9{\%} of the 9600 putative genes. On the other hand, negative correlation was found in 3.3{\%} of the genes. The trends of expression of some of the genes were also confirmed by Northern hybridization and flow cytometry. Our data demonstrated that genes related to cell adhesion, motility, angiogenesis, signal transduction, and some other expressed sequence tag genes may play significant roles in the metastasis process. These results substantiate the model system with which one can identify invasion-associated genes by using cDNA microarray and cancer cell lines of different invasiveness. This technique may allow us to explore complex interactions between multiple genes that orchestrate the process of cancer metastasis.",
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Chen, JJW, Peck, K, Hong, TM, Yang, SC, Sher, YP, Shih, JY, Wu, R, Cheng, JL, Roffler, SR, Wu, CW & Yang, PC 2001, 'Global analysis of gene expression in invasion by a lung cancer model', Cancer Research, 卷 61, 編號 13, 頁 5223-5230.

Global analysis of gene expression in invasion by a lung cancer model. / Chen, Jeremy J.W.; Peck, Konan; Hong, Tse Ming; Yang, Shuenn Chen; Sher, Yuh Pyng; Shih, Jin Yuan; Wu, Reen; Cheng, Jing Long; Roffler, Steve R.; Wu, Cheng Wen; Yang, Pan Chyr.

於: Cancer Research, 卷 61, 編號 13, 01.07.2001, p. 5223-5230.

研究成果: Article

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AU - Chen, Jeremy J.W.

AU - Peck, Konan

AU - Hong, Tse Ming

AU - Yang, Shuenn Chen

AU - Sher, Yuh Pyng

AU - Shih, Jin Yuan

AU - Wu, Reen

AU - Cheng, Jing Long

AU - Roffler, Steve R.

AU - Wu, Cheng Wen

AU - Yang, Pan Chyr

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N2 - Metastasis is a complicated multistep process that involves interactions between cancer cells and their surrounding microenvironments. Previously, we have established a series of lung adenocarcinoma cell lines with varying degrees of invasiveness. Tracheal graft assay confirmed that cell lines with higher in vitro invasiveness had greater in vivo invasive potential. In this study, we used these model cell lines to identify invasion-associated genes using cDNA microarray with colorimetric detection. A more invasive subline, CL 1-5-F 4, derived from metastatic lung tumor of severe combined immunodeficient mice inoculated with CL 1-5 cells, was combined with CL 1-0, CL 1-1, and CL 1-5 in cDNA microarray screening. cDNA microarray membranes, each containing 9600 nonredundant expressed sequence tag clones, were used to identify differentially expressed genes in these cell lines. For statistical analysis, self-organizing map algorithm was performed to identify the expression patterns. Positive correlation between gene expression levels and cell line invasiveness was found in 2.9% of the 9600 putative genes. On the other hand, negative correlation was found in 3.3% of the genes. The trends of expression of some of the genes were also confirmed by Northern hybridization and flow cytometry. Our data demonstrated that genes related to cell adhesion, motility, angiogenesis, signal transduction, and some other expressed sequence tag genes may play significant roles in the metastasis process. These results substantiate the model system with which one can identify invasion-associated genes by using cDNA microarray and cancer cell lines of different invasiveness. This technique may allow us to explore complex interactions between multiple genes that orchestrate the process of cancer metastasis.

AB - Metastasis is a complicated multistep process that involves interactions between cancer cells and their surrounding microenvironments. Previously, we have established a series of lung adenocarcinoma cell lines with varying degrees of invasiveness. Tracheal graft assay confirmed that cell lines with higher in vitro invasiveness had greater in vivo invasive potential. In this study, we used these model cell lines to identify invasion-associated genes using cDNA microarray with colorimetric detection. A more invasive subline, CL 1-5-F 4, derived from metastatic lung tumor of severe combined immunodeficient mice inoculated with CL 1-5 cells, was combined with CL 1-0, CL 1-1, and CL 1-5 in cDNA microarray screening. cDNA microarray membranes, each containing 9600 nonredundant expressed sequence tag clones, were used to identify differentially expressed genes in these cell lines. For statistical analysis, self-organizing map algorithm was performed to identify the expression patterns. Positive correlation between gene expression levels and cell line invasiveness was found in 2.9% of the 9600 putative genes. On the other hand, negative correlation was found in 3.3% of the genes. The trends of expression of some of the genes were also confirmed by Northern hybridization and flow cytometry. Our data demonstrated that genes related to cell adhesion, motility, angiogenesis, signal transduction, and some other expressed sequence tag genes may play significant roles in the metastasis process. These results substantiate the model system with which one can identify invasion-associated genes by using cDNA microarray and cancer cell lines of different invasiveness. This technique may allow us to explore complex interactions between multiple genes that orchestrate the process of cancer metastasis.

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Chen JJW, Peck K, Hong TM, Yang SC, Sher YP, Shih JY 等. Global analysis of gene expression in invasion by a lung cancer model. Cancer Research. 2001 7月 1;61(13):5223-5230.