Epigenetic profiles capturing breast cancer stemness for triple negative breast cancer control

Xiaofeng Dai; Rong Ma; Xijiang Zhao; Fengfeng Zhou

doi:10.2217/epi-2019-0266

Epigenetic profiles capturing breast cancer stemness for triple negative breast cancer control

Xiaofeng Dai
, Rong Ma
, Xijiang Zhao
, Fengfeng Zhou

Health Science Center

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Aim: Triple-negative breast cancers (TNBCs) contain a higher percentage of breast cancer stem cells (BCSCs) than the other subtypes and lack effective yet safe-targeted therapies. We would like to unveil genes relevant to the therapeutic control of breast cancer stemness at the epigenetic level. Methods: We sequenced the transcriptome of BCSCs isolated from TNBCs, identified genes differentially expressed in these cells and subjected to DNA methylation and established the Bayesian network as well as interactions out of them. Results & conclusion: We presented a core epigenetic BCSC gene panel consisting of eight genes that can be used for BCSCs and TNBCs identification, and revealed the dominant roles of FOXA1 and GATA3 in orchestrating breast cancer heterogeneity and stemness.

Original language	English
Pages (from-to)	1811-1825
Number of pages	15
Journal	Epigenomics
Volume	11
Issue number	16
DOIs	https://doi.org/10.2217/epi-2019-0266
State	Published - 2019

Keywords

Bayesian network
Breast cancer stemness
Cancer epigenetics
DNA methylation
Gene expression
Triple-negative breast cancer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.2217/epi-2019-0266

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title = "Epigenetic profiles capturing breast cancer stemness for triple negative breast cancer control",

abstract = "Aim: Triple-negative breast cancers (TNBCs) contain a higher percentage of breast cancer stem cells (BCSCs) than the other subtypes and lack effective yet safe-targeted therapies. We would like to unveil genes relevant to the therapeutic control of breast cancer stemness at the epigenetic level. Methods: We sequenced the transcriptome of BCSCs isolated from TNBCs, identified genes differentially expressed in these cells and subjected to DNA methylation and established the Bayesian network as well as interactions out of them. Results \& conclusion: We presented a core epigenetic BCSC gene panel consisting of eight genes that can be used for BCSCs and TNBCs identification, and revealed the dominant roles of FOXA1 and GATA3 in orchestrating breast cancer heterogeneity and stemness.",

keywords = "Bayesian network, Breast cancer stemness, Cancer epigenetics, DNA methylation, Gene expression, Triple-negative breast cancer",

author = "Xiaofeng Dai and Rong Ma and Xijiang Zhao and Fengfeng Zhou",

note = "Publisher Copyright: {\textcopyright} 2019 Future Medicine Ltd.",

year = "2019",

doi = "10.2217/epi-2019-0266",

language = "英语",

volume = "11",

pages = "1811--1825",

journal = "Epigenomics",

issn = "1750-1911",

publisher = "Taylor and Francis Ltd.",

number = "16",

}

TY - JOUR

T1 - Epigenetic profiles capturing breast cancer stemness for triple negative breast cancer control

AU - Dai, Xiaofeng

AU - Ma, Rong

AU - Zhao, Xijiang

AU - Zhou, Fengfeng

PY - 2019

Y1 - 2019

N2 - Aim: Triple-negative breast cancers (TNBCs) contain a higher percentage of breast cancer stem cells (BCSCs) than the other subtypes and lack effective yet safe-targeted therapies. We would like to unveil genes relevant to the therapeutic control of breast cancer stemness at the epigenetic level. Methods: We sequenced the transcriptome of BCSCs isolated from TNBCs, identified genes differentially expressed in these cells and subjected to DNA methylation and established the Bayesian network as well as interactions out of them. Results & conclusion: We presented a core epigenetic BCSC gene panel consisting of eight genes that can be used for BCSCs and TNBCs identification, and revealed the dominant roles of FOXA1 and GATA3 in orchestrating breast cancer heterogeneity and stemness.

AB - Aim: Triple-negative breast cancers (TNBCs) contain a higher percentage of breast cancer stem cells (BCSCs) than the other subtypes and lack effective yet safe-targeted therapies. We would like to unveil genes relevant to the therapeutic control of breast cancer stemness at the epigenetic level. Methods: We sequenced the transcriptome of BCSCs isolated from TNBCs, identified genes differentially expressed in these cells and subjected to DNA methylation and established the Bayesian network as well as interactions out of them. Results & conclusion: We presented a core epigenetic BCSC gene panel consisting of eight genes that can be used for BCSCs and TNBCs identification, and revealed the dominant roles of FOXA1 and GATA3 in orchestrating breast cancer heterogeneity and stemness.

KW - Bayesian network

KW - Breast cancer stemness

KW - Cancer epigenetics

KW - DNA methylation

KW - Gene expression

KW - Triple-negative breast cancer

UR - https://www.scopus.com/pages/publications/85075929309

U2 - 10.2217/epi-2019-0266

DO - 10.2217/epi-2019-0266

M3 - 文章

C2 - 31729259

AN - SCOPUS:85075929309

SN - 1750-1911

VL - 11

SP - 1811

EP - 1825

JO - Epigenomics

JF - Epigenomics

IS - 16

ER -

Epigenetic profiles capturing breast cancer stemness for triple negative breast cancer control

Abstract

Keywords

UN SDGs

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