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Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer
BACKGROUND: Metastasis is the major cause of death in breast cancer patients. Although the strategies targeting metastasis have promoted survival, the underlying mechanisms still remain unclear. In this study, we used microarray data of primary breast tumor, tumor derived from bone and liver, and sk...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6968804/ https://www.ncbi.nlm.nih.gov/pubmed/32021278 http://dx.doi.org/10.2147/OTT.S226770 |
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author | Li, Wei Liu, Jianling Zhang, Bin Bie, Qingli Qian, Hui Xu, Wenrong |
author_facet | Li, Wei Liu, Jianling Zhang, Bin Bie, Qingli Qian, Hui Xu, Wenrong |
author_sort | Li, Wei |
collection | PubMed |
description | BACKGROUND: Metastasis is the major cause of death in breast cancer patients. Although the strategies targeting metastasis have promoted survival, the underlying mechanisms still remain unclear. In this study, we used microarray data of primary breast tumor, tumor derived from bone and liver, and skin metastatic tissue, to identify the key genes and pathways that are involved in metastasis in breast cancer. METHODS: We first calculated the differentially expressed genes (DEGs) between three metastatic tissues and primary tumor tissue, and then used it to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Further, we analyzed the correlation of genes enriched in GO terms and KEGG pathways with survival of breast cancer patients. To identify the key genes and pathways associated with metastasis, we overlapped the DEGs and KEGG pathways. In our in vitro experiments, we knocked down the key gene, ERLIN2, and detected the PI3K expression in tumor cells to evaluate their effect on tumor metastasis. RESULTS: We identified six genes (ALOX15, COL4A6, LMB13, MTAP, PLA2G4A, TAT) that correlated with survival. Seven key genes (SNRPN, ARNT2, HDGFRP3, ERO1LB, ERLIN2, YBX2, EBF4) and seven signaling pathways (metabolic pathways, phagosome pathway, PI3K-AKT signaling pathway, focal adhesion, ECM-receptor interaction, pancreatic secretion, human papillomavirus infection) associated with metastasis were also identified. Our in vitro experiments revealed that ERLIN2 was highly expressed in MDA-MB231 cells compared to MCF-7 cells. Moreover, knockdown of ERLIN2 increased apoptosis, while inhibiting the proliferation, invasion, and migration ability of breast cancer cells. The PI3K/AKT signaling pathway was also found to be highly expressed in MDA-MB231 cells. CONCLUSION: Our results reveal the key genes and signaling pathways that contribute to metastasis, and highlight that strategic targeting of ENLIN2 and PI3K/AKT signaling pathways could inhibit metastasis of breast cancer. |
format | Online Article Text |
id | pubmed-6968804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-69688042020-02-04 Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer Li, Wei Liu, Jianling Zhang, Bin Bie, Qingli Qian, Hui Xu, Wenrong Onco Targets Ther Original Research BACKGROUND: Metastasis is the major cause of death in breast cancer patients. Although the strategies targeting metastasis have promoted survival, the underlying mechanisms still remain unclear. In this study, we used microarray data of primary breast tumor, tumor derived from bone and liver, and skin metastatic tissue, to identify the key genes and pathways that are involved in metastasis in breast cancer. METHODS: We first calculated the differentially expressed genes (DEGs) between three metastatic tissues and primary tumor tissue, and then used it to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Further, we analyzed the correlation of genes enriched in GO terms and KEGG pathways with survival of breast cancer patients. To identify the key genes and pathways associated with metastasis, we overlapped the DEGs and KEGG pathways. In our in vitro experiments, we knocked down the key gene, ERLIN2, and detected the PI3K expression in tumor cells to evaluate their effect on tumor metastasis. RESULTS: We identified six genes (ALOX15, COL4A6, LMB13, MTAP, PLA2G4A, TAT) that correlated with survival. Seven key genes (SNRPN, ARNT2, HDGFRP3, ERO1LB, ERLIN2, YBX2, EBF4) and seven signaling pathways (metabolic pathways, phagosome pathway, PI3K-AKT signaling pathway, focal adhesion, ECM-receptor interaction, pancreatic secretion, human papillomavirus infection) associated with metastasis were also identified. Our in vitro experiments revealed that ERLIN2 was highly expressed in MDA-MB231 cells compared to MCF-7 cells. Moreover, knockdown of ERLIN2 increased apoptosis, while inhibiting the proliferation, invasion, and migration ability of breast cancer cells. The PI3K/AKT signaling pathway was also found to be highly expressed in MDA-MB231 cells. CONCLUSION: Our results reveal the key genes and signaling pathways that contribute to metastasis, and highlight that strategic targeting of ENLIN2 and PI3K/AKT signaling pathways could inhibit metastasis of breast cancer. Dove 2020-01-13 /pmc/articles/PMC6968804/ /pubmed/32021278 http://dx.doi.org/10.2147/OTT.S226770 Text en © 2020 Li et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Wei Liu, Jianling Zhang, Bin Bie, Qingli Qian, Hui Xu, Wenrong Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer |
title | Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer |
title_full | Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer |
title_fullStr | Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer |
title_full_unstemmed | Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer |
title_short | Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer |
title_sort | transcriptome analysis reveals key genes and pathways associated with metastasis in breast cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6968804/ https://www.ncbi.nlm.nih.gov/pubmed/32021278 http://dx.doi.org/10.2147/OTT.S226770 |
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