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Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel
The clinical benefits of the MammaPrint(®) signature for breast cancer is well documented; however, how these genes are related to cell cycle perturbation have not been well determined. Our single-cell transcriptome mapping (algorithm) provides details into the fine perturbation of all individual ge...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161791/ https://www.ncbi.nlm.nih.gov/pubmed/30279960 http://dx.doi.org/10.18632/oncotarget.26044 |
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author | Li, Shengwen Calvin Stucky, Andres Chen, Xuelian Kabeer, Mustafa H. Loudon, William G. Plant, Ashley S. Torno, Lilibeth Nangia, Chaitali S. Cai, Jin Zhang, Gang Zhong, Jiang F. |
author_facet | Li, Shengwen Calvin Stucky, Andres Chen, Xuelian Kabeer, Mustafa H. Loudon, William G. Plant, Ashley S. Torno, Lilibeth Nangia, Chaitali S. Cai, Jin Zhang, Gang Zhong, Jiang F. |
author_sort | Li, Shengwen Calvin |
collection | PubMed |
description | The clinical benefits of the MammaPrint(®) signature for breast cancer is well documented; however, how these genes are related to cell cycle perturbation have not been well determined. Our single-cell transcriptome mapping (algorithm) provides details into the fine perturbation of all individual genes during a cell cycle, providing a view of the cell-cycle-phase specific landscape of any given human genes. Specifically, we identified that 38 out of the 70 (54%) MammaPrint(®) signature genes are perturbated to a specific phase of the cell cycle. The MammaPrint(®) signature panel derived its clinical prognosis power from measuring the cell cycle activity of specific breast cancer samples. Such cell cycle phase index of the MammaPrint(®) signature suggested that measurement of the cell cycle index from tumors could be developed into a prognosis tool for various types of cancer beyond breast cancer, potentially improving therapy through targeting a specific phase of the cell cycle of cancer cells. |
format | Online Article Text |
id | pubmed-6161791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-61617912018-10-02 Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel Li, Shengwen Calvin Stucky, Andres Chen, Xuelian Kabeer, Mustafa H. Loudon, William G. Plant, Ashley S. Torno, Lilibeth Nangia, Chaitali S. Cai, Jin Zhang, Gang Zhong, Jiang F. Oncotarget Research Paper The clinical benefits of the MammaPrint(®) signature for breast cancer is well documented; however, how these genes are related to cell cycle perturbation have not been well determined. Our single-cell transcriptome mapping (algorithm) provides details into the fine perturbation of all individual genes during a cell cycle, providing a view of the cell-cycle-phase specific landscape of any given human genes. Specifically, we identified that 38 out of the 70 (54%) MammaPrint(®) signature genes are perturbated to a specific phase of the cell cycle. The MammaPrint(®) signature panel derived its clinical prognosis power from measuring the cell cycle activity of specific breast cancer samples. Such cell cycle phase index of the MammaPrint(®) signature suggested that measurement of the cell cycle index from tumors could be developed into a prognosis tool for various types of cancer beyond breast cancer, potentially improving therapy through targeting a specific phase of the cell cycle of cancer cells. Impact Journals LLC 2018-09-07 /pmc/articles/PMC6161791/ /pubmed/30279960 http://dx.doi.org/10.18632/oncotarget.26044 Text en Copyright: © 2018 Li et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Li, Shengwen Calvin Stucky, Andres Chen, Xuelian Kabeer, Mustafa H. Loudon, William G. Plant, Ashley S. Torno, Lilibeth Nangia, Chaitali S. Cai, Jin Zhang, Gang Zhong, Jiang F. Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
title | Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
title_full | Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
title_fullStr | Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
title_full_unstemmed | Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
title_short | Single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
title_sort | single-cell transcriptomes reveal the mechanism for a breast cancer prognostic gene panel |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161791/ https://www.ncbi.nlm.nih.gov/pubmed/30279960 http://dx.doi.org/10.18632/oncotarget.26044 |
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