Screening for candidate genes related to breast cancer with cDNA microarray analysis

Objective: The aim of this study was to reveal the exact changes during the occurrence of breast cancer to explore significant new and promising genes or factors related to this disease. Methods: We compared the gene expression profiles of breast cancer tissues with its uninvolved normal breast tiss...

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Autores principales: Yu-Juan Xiang, Qin-Ye Fu, Zhong-Bing Ma, De-Zong Gao, Qiang Zhang, Yu-Yang Li, Liang Li, Lu Liu, Chun-Miao Ye, Zhi-Gang Yu, Ming-Ming Guo
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Publicado: KeAi Communications Co., Ltd. 2015
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Acceso en línea:https://doaj.org/article/109b9023a37940d8b4b20d3294c0fbe2
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spelling oai:doaj.org-article:109b9023a37940d8b4b20d3294c0fbe22021-12-02T13:36:53ZScreening for candidate genes related to breast cancer with cDNA microarray analysis2095-882X10.1016/j.cdtm.2015.02.001https://doaj.org/article/109b9023a37940d8b4b20d3294c0fbe22015-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2095882X1500002Xhttps://doaj.org/toc/2095-882XObjective: The aim of this study was to reveal the exact changes during the occurrence of breast cancer to explore significant new and promising genes or factors related to this disease. Methods: We compared the gene expression profiles of breast cancer tissues with its uninvolved normal breast tissues as controls using the cDNA microarray analysis in seven breast cancer patients. Further, one representative gene, named IFI30, was quantitatively analyzed by real-time PCR to confirm the result of the cDNA microarray analysis. Results: A total of 427 genes were identified with significantly differential expression, 221 genes were up-regulated and 206 genes were down-regulated. And the result of cDNA microarray analysis was validated by detection of IFI30 mRNA level changes by real-time PCR. Genes for cell proliferation, cell cycle, cell division, mitosis, apoptosis, and immune response were enriched in the up-regulated genes, while genes for cell adhesion, proteolysis, and transport were significantly enriched in the down-regulated genes in breast cancer tissues compared with normal breast tissues by a gene ontology analysis. Conclusion: Our present study revealed a range of differentially expressed genes between breast cancer tissues and normal breast tissues, and provide candidate genes for further study focusing on the pathogenesis and new biomarkers for breast cancer. Keywords: Breast neoplasms, Candidate genes, MicroarrayYu-Juan XiangQin-Ye FuZhong-Bing MaDe-Zong GaoQiang ZhangYu-Yang LiLiang LiLu LiuChun-Miao YeZhi-Gang YuMing-Ming GuoKeAi Communications Co., Ltd.articleMedicine (General)R5-920ENChronic Diseases and Translational Medicine, Vol 1, Iss 2, Pp 65-72 (2015)
institution DOAJ
collection DOAJ
language EN
topic Medicine (General)
R5-920
spellingShingle Medicine (General)
R5-920
Yu-Juan Xiang
Qin-Ye Fu
Zhong-Bing Ma
De-Zong Gao
Qiang Zhang
Yu-Yang Li
Liang Li
Lu Liu
Chun-Miao Ye
Zhi-Gang Yu
Ming-Ming Guo
Screening for candidate genes related to breast cancer with cDNA microarray analysis
description Objective: The aim of this study was to reveal the exact changes during the occurrence of breast cancer to explore significant new and promising genes or factors related to this disease. Methods: We compared the gene expression profiles of breast cancer tissues with its uninvolved normal breast tissues as controls using the cDNA microarray analysis in seven breast cancer patients. Further, one representative gene, named IFI30, was quantitatively analyzed by real-time PCR to confirm the result of the cDNA microarray analysis. Results: A total of 427 genes were identified with significantly differential expression, 221 genes were up-regulated and 206 genes were down-regulated. And the result of cDNA microarray analysis was validated by detection of IFI30 mRNA level changes by real-time PCR. Genes for cell proliferation, cell cycle, cell division, mitosis, apoptosis, and immune response were enriched in the up-regulated genes, while genes for cell adhesion, proteolysis, and transport were significantly enriched in the down-regulated genes in breast cancer tissues compared with normal breast tissues by a gene ontology analysis. Conclusion: Our present study revealed a range of differentially expressed genes between breast cancer tissues and normal breast tissues, and provide candidate genes for further study focusing on the pathogenesis and new biomarkers for breast cancer. Keywords: Breast neoplasms, Candidate genes, Microarray
format article
author Yu-Juan Xiang
Qin-Ye Fu
Zhong-Bing Ma
De-Zong Gao
Qiang Zhang
Yu-Yang Li
Liang Li
Lu Liu
Chun-Miao Ye
Zhi-Gang Yu
Ming-Ming Guo
author_facet Yu-Juan Xiang
Qin-Ye Fu
Zhong-Bing Ma
De-Zong Gao
Qiang Zhang
Yu-Yang Li
Liang Li
Lu Liu
Chun-Miao Ye
Zhi-Gang Yu
Ming-Ming Guo
author_sort Yu-Juan Xiang
title Screening for candidate genes related to breast cancer with cDNA microarray analysis
title_short Screening for candidate genes related to breast cancer with cDNA microarray analysis
title_full Screening for candidate genes related to breast cancer with cDNA microarray analysis
title_fullStr Screening for candidate genes related to breast cancer with cDNA microarray analysis
title_full_unstemmed Screening for candidate genes related to breast cancer with cDNA microarray analysis
title_sort screening for candidate genes related to breast cancer with cdna microarray analysis
publisher KeAi Communications Co., Ltd.
publishDate 2015
url https://doaj.org/article/109b9023a37940d8b4b20d3294c0fbe2
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