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Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells
BACKGROUND: Breast cancer stem cells (BCSCs) are considered responsible for cancer relapse and drug resistance. Understanding the identity of BCSCs may open new avenues in breast cancer therapy. Although several discoveries have been made on BCSC characterization, the factors critical to the origina...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146522/ https://www.ncbi.nlm.nih.gov/pubmed/30231942 http://dx.doi.org/10.1186/s40880-018-0326-8 |
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author | Tong, Mengying Deng, Ziqian Yang, Mengying Xu, Chang Zhang, Xiaolong Zhang, Qingzheng Liao, Yuwei Deng, Xiaodi Lv, Dekang Zhang, Xuehong Zhang, Yu Li, Peiying Song, Luyao Wang, Bicheng Al-Dherasi, Aisha Li, Zhiguang Liu, Quentin |
author_facet | Tong, Mengying Deng, Ziqian Yang, Mengying Xu, Chang Zhang, Xiaolong Zhang, Qingzheng Liao, Yuwei Deng, Xiaodi Lv, Dekang Zhang, Xuehong Zhang, Yu Li, Peiying Song, Luyao Wang, Bicheng Al-Dherasi, Aisha Li, Zhiguang Liu, Quentin |
author_sort | Tong, Mengying |
collection | PubMed |
description | BACKGROUND: Breast cancer stem cells (BCSCs) are considered responsible for cancer relapse and drug resistance. Understanding the identity of BCSCs may open new avenues in breast cancer therapy. Although several discoveries have been made on BCSC characterization, the factors critical to the origination of BCSCs are largely unclear. This study aimed to determine whether genomic mutations contribute to the acquisition of cancer stem-like phenotype and to investigate the genetic and transcriptional features of BCSCs. METHODS: We detected potential BCSC phenotype-associated mutation hotspot regions by using whole-genome sequencing on parental cancer cells and derived serial-generation spheres in increasing order of BCSC frequency, and then performed target deep DNA sequencing at bulk-cell and single-cell levels. To identify the transcriptional program associated with BCSCs, bulk-cell and single-cell RNA sequencing was performed. RESULTS: By using whole-genome sequencing of bulk cells, potential BCSC phenotype-associated mutation hotspot regions were detected. Validation by target deep DNA sequencing, at both bulk-cell and single-cell levels, revealed no genetic changes specifically associated with BCSC phenotype. Moreover, single-cell RNA sequencing showed profound transcriptomic variability in cancer cells at the single-cell level that predicted BCSC features. Notably, this transcriptomic variability was enriched during the transcription of 74 genes, revealed as BCSC markers. Breast cancer patients with a high risk of relapse exhibited higher expression levels of these BCSC markers than those with a low risk of relapse, thereby highlighting the clinical significance of predicting breast cancer prognosis with these BCSC markers. CONCLUSIONS: Transcriptomic variability, not genetic mutations, distinguishes BCSCs from non-BCSCs. The identified 74 BCSC markers have the potential of becoming novel targets for breast cancer therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40880-018-0326-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6146522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61465222018-09-24 Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells Tong, Mengying Deng, Ziqian Yang, Mengying Xu, Chang Zhang, Xiaolong Zhang, Qingzheng Liao, Yuwei Deng, Xiaodi Lv, Dekang Zhang, Xuehong Zhang, Yu Li, Peiying Song, Luyao Wang, Bicheng Al-Dherasi, Aisha Li, Zhiguang Liu, Quentin Cancer Commun (Lond) Original Article BACKGROUND: Breast cancer stem cells (BCSCs) are considered responsible for cancer relapse and drug resistance. Understanding the identity of BCSCs may open new avenues in breast cancer therapy. Although several discoveries have been made on BCSC characterization, the factors critical to the origination of BCSCs are largely unclear. This study aimed to determine whether genomic mutations contribute to the acquisition of cancer stem-like phenotype and to investigate the genetic and transcriptional features of BCSCs. METHODS: We detected potential BCSC phenotype-associated mutation hotspot regions by using whole-genome sequencing on parental cancer cells and derived serial-generation spheres in increasing order of BCSC frequency, and then performed target deep DNA sequencing at bulk-cell and single-cell levels. To identify the transcriptional program associated with BCSCs, bulk-cell and single-cell RNA sequencing was performed. RESULTS: By using whole-genome sequencing of bulk cells, potential BCSC phenotype-associated mutation hotspot regions were detected. Validation by target deep DNA sequencing, at both bulk-cell and single-cell levels, revealed no genetic changes specifically associated with BCSC phenotype. Moreover, single-cell RNA sequencing showed profound transcriptomic variability in cancer cells at the single-cell level that predicted BCSC features. Notably, this transcriptomic variability was enriched during the transcription of 74 genes, revealed as BCSC markers. Breast cancer patients with a high risk of relapse exhibited higher expression levels of these BCSC markers than those with a low risk of relapse, thereby highlighting the clinical significance of predicting breast cancer prognosis with these BCSC markers. CONCLUSIONS: Transcriptomic variability, not genetic mutations, distinguishes BCSCs from non-BCSCs. The identified 74 BCSC markers have the potential of becoming novel targets for breast cancer therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40880-018-0326-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-19 /pmc/articles/PMC6146522/ /pubmed/30231942 http://dx.doi.org/10.1186/s40880-018-0326-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Article Tong, Mengying Deng, Ziqian Yang, Mengying Xu, Chang Zhang, Xiaolong Zhang, Qingzheng Liao, Yuwei Deng, Xiaodi Lv, Dekang Zhang, Xuehong Zhang, Yu Li, Peiying Song, Luyao Wang, Bicheng Al-Dherasi, Aisha Li, Zhiguang Liu, Quentin Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
title | Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
title_full | Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
title_fullStr | Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
title_full_unstemmed | Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
title_short | Transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
title_sort | transcriptomic but not genomic variability confers phenotype of breast cancer stem cells |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6146522/ https://www.ncbi.nlm.nih.gov/pubmed/30231942 http://dx.doi.org/10.1186/s40880-018-0326-8 |
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