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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
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.
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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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