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Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer
Tamoxifen (TAM) resistance is an important clinical problem in the treatment of breast cancer. In order to identify the mechanism of TAM resistance for estrogen receptor (ER)-positive breast cancer, we screened the transcriptome using RNA-seq and compared the gene expression profiles between the MCF...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790522/ https://www.ncbi.nlm.nih.gov/pubmed/29423105 http://dx.doi.org/10.18632/oncotarget.23694 |
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author | Men, Xin Ma, Jun Wu, Tong Pu, Junyi Wen, Shaojia Shen, Jianfeng Wang, Xun Wang, Yamin Chen, Chao Dai, Penggao |
author_facet | Men, Xin Ma, Jun Wu, Tong Pu, Junyi Wen, Shaojia Shen, Jianfeng Wang, Xun Wang, Yamin Chen, Chao Dai, Penggao |
author_sort | Men, Xin |
collection | PubMed |
description | Tamoxifen (TAM) resistance is an important clinical problem in the treatment of breast cancer. In order to identify the mechanism of TAM resistance for estrogen receptor (ER)-positive breast cancer, we screened the transcriptome using RNA-seq and compared the gene expression profiles between the MCF-7 mamma carcinoma cell line and the TAM-resistant cell line TAMR/MCF-7, 52 significant differential expression genes (DEGs) were identified including SLIT2, ROBO, LHX, KLF, VEGFC, BAMBI, LAMA1, FLT4, PNMT, DHRS2, MAOA and ALDH. The DEGs were annotated in the GO, COG and KEGG databases. Annotation of the function of the DEGs in the KEGG database revealed the top three pathways enriched with the most DEGs, including pathways in cancer, the PI3K-AKT pathway, and focal adhesion. Then we compared the gene expression profiles between the Clinical progressive disease (PD) and the complete response (CR) from the cancer genome altas (TCGA). 10 common DEGs were identified through combining the clinical and cellular analysis results. Protein-protein interaction network was applied to analyze the association of ER signal pathway with the 10 DEGs. 3 significant genes (GFRA3, NPY1R and PTPRN2) were closely related to ER related pathway. These significant DEGs regulated many biological activities such as cell proliferation and survival, motility and migration, and tumor cell invasion. The interactions between these DEGs and drug resistance phenomenon need to be further elucidated at a functional level in further studies. Based on our findings, we believed that these DEGs could be therapeutic targets, which can be explored to develop new treatment options. |
format | Online Article Text |
id | pubmed-5790522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-57905222018-02-08 Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer Men, Xin Ma, Jun Wu, Tong Pu, Junyi Wen, Shaojia Shen, Jianfeng Wang, Xun Wang, Yamin Chen, Chao Dai, Penggao Oncotarget Research Paper Tamoxifen (TAM) resistance is an important clinical problem in the treatment of breast cancer. In order to identify the mechanism of TAM resistance for estrogen receptor (ER)-positive breast cancer, we screened the transcriptome using RNA-seq and compared the gene expression profiles between the MCF-7 mamma carcinoma cell line and the TAM-resistant cell line TAMR/MCF-7, 52 significant differential expression genes (DEGs) were identified including SLIT2, ROBO, LHX, KLF, VEGFC, BAMBI, LAMA1, FLT4, PNMT, DHRS2, MAOA and ALDH. The DEGs were annotated in the GO, COG and KEGG databases. Annotation of the function of the DEGs in the KEGG database revealed the top three pathways enriched with the most DEGs, including pathways in cancer, the PI3K-AKT pathway, and focal adhesion. Then we compared the gene expression profiles between the Clinical progressive disease (PD) and the complete response (CR) from the cancer genome altas (TCGA). 10 common DEGs were identified through combining the clinical and cellular analysis results. Protein-protein interaction network was applied to analyze the association of ER signal pathway with the 10 DEGs. 3 significant genes (GFRA3, NPY1R and PTPRN2) were closely related to ER related pathway. These significant DEGs regulated many biological activities such as cell proliferation and survival, motility and migration, and tumor cell invasion. The interactions between these DEGs and drug resistance phenomenon need to be further elucidated at a functional level in further studies. Based on our findings, we believed that these DEGs could be therapeutic targets, which can be explored to develop new treatment options. Impact Journals LLC 2017-12-26 /pmc/articles/PMC5790522/ /pubmed/29423105 http://dx.doi.org/10.18632/oncotarget.23694 Text en Copyright: © 2018 Men et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Men, Xin Ma, Jun Wu, Tong Pu, Junyi Wen, Shaojia Shen, Jianfeng Wang, Xun Wang, Yamin Chen, Chao Dai, Penggao Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
title | Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
title_full | Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
title_fullStr | Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
title_full_unstemmed | Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
title_short | Transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
title_sort | transcriptome profiling identified differentially expressed genes and pathways associated with tamoxifen resistance in human breast cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5790522/ https://www.ncbi.nlm.nih.gov/pubmed/29423105 http://dx.doi.org/10.18632/oncotarget.23694 |
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