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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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Detalles Bibliográficos
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
Descripción
Sumario: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.