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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: Xiang, Yu-Juan, Fu, Qin-Ye, Ma, Zhong-Bing, Gao, De-Zong, Zhang, Qiang, Li, Yu-Yang, Li, Liang, Liu, Lu, Ye, Chun-Miao, Yu, Zhi-Gang, Guo, Ming-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643563/
https://www.ncbi.nlm.nih.gov/pubmed/29062989
http://dx.doi.org/10.1016/j.cdtm.2015.02.001
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author Xiang, Yu-Juan
Fu, Qin-Ye
Ma, Zhong-Bing
Gao, De-Zong
Zhang, Qiang
Li, Yu-Yang
Li, Liang
Liu, Lu
Ye, Chun-Miao
Yu, Zhi-Gang
Guo, Ming-Ming
author_facet Xiang, Yu-Juan
Fu, Qin-Ye
Ma, Zhong-Bing
Gao, De-Zong
Zhang, Qiang
Li, Yu-Yang
Li, Liang
Liu, Lu
Ye, Chun-Miao
Yu, Zhi-Gang
Guo, Ming-Ming
author_sort Xiang, Yu-Juan
collection PubMed
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.
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spelling pubmed-56435632017-10-23 Screening for candidate genes related to breast cancer with cDNA microarray analysis Xiang, Yu-Juan Fu, Qin-Ye Ma, Zhong-Bing Gao, De-Zong Zhang, Qiang Li, Yu-Yang Li, Liang Liu, Lu Ye, Chun-Miao Yu, Zhi-Gang Guo, Ming-Ming Chronic Dis Transl Med Original Article 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. KeAi Publishing 2015-03-05 /pmc/articles/PMC5643563/ /pubmed/29062989 http://dx.doi.org/10.1016/j.cdtm.2015.02.001 Text en © 2015 Chinese Medical Association. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Xiang, Yu-Juan
Fu, Qin-Ye
Ma, Zhong-Bing
Gao, De-Zong
Zhang, Qiang
Li, Yu-Yang
Li, Liang
Liu, Lu
Ye, Chun-Miao
Yu, Zhi-Gang
Guo, Ming-Ming
Screening for candidate genes related to breast cancer with cDNA microarray analysis
title 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_short 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
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5643563/
https://www.ncbi.nlm.nih.gov/pubmed/29062989
http://dx.doi.org/10.1016/j.cdtm.2015.02.001
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