Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Men, Xin, Ma, Jun, Wu, Tong, Pu, Junyi, Wen, Shaojia, Shen, Jianfeng, Wang, Xun, Wang, Yamin, Chen, Chao, Dai, Penggao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
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
_version_ 1783296462160920576
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
work_keys_str_mv AT menxin transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT majun transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT wutong transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT pujunyi transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT wenshaojia transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT shenjianfeng transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT wangxun transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT wangyamin transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT chenchao transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer
AT daipenggao transcriptomeprofilingidentifieddifferentiallyexpressedgenesandpathwaysassociatedwithtamoxifenresistanceinhumanbreastcancer