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Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer
by
He, Xueyan
, Wicha, Max S.
, Wang, Dong
, Liu, Mingshan
, Zhou, Lei
, Bai, Fan
, Liu, Yang
, Deng, Lu
, Liu, Suling
in
Analysis
/ Biological markers
/ Biomarkers, Tumor
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Cancer Research
/ Computational Biology - methods
/ DNA sequencing
/ Female
/ Gene Expression Profiling
/ Humans
/ Letter to the Editor
/ Neoplasm Grading
/ Neoplasm Staging
/ Neoplastic Stem Cells - metabolism
/ Neoplastic Stem Cells - pathology
/ Oncology
/ Patient outcomes
/ Prognosis
/ Stem cells
/ Transcriptome
/ Triple Negative Breast Neoplasms - genetics
/ Triple Negative Breast Neoplasms - metabolism
/ Triple Negative Breast Neoplasms - mortality
/ Triple Negative Breast Neoplasms - pathology
2018
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Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer
by
He, Xueyan
, Wicha, Max S.
, Wang, Dong
, Liu, Mingshan
, Zhou, Lei
, Bai, Fan
, Liu, Yang
, Deng, Lu
, Liu, Suling
in
Analysis
/ Biological markers
/ Biomarkers, Tumor
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Cancer Research
/ Computational Biology - methods
/ DNA sequencing
/ Female
/ Gene Expression Profiling
/ Humans
/ Letter to the Editor
/ Neoplasm Grading
/ Neoplasm Staging
/ Neoplastic Stem Cells - metabolism
/ Neoplastic Stem Cells - pathology
/ Oncology
/ Patient outcomes
/ Prognosis
/ Stem cells
/ Transcriptome
/ Triple Negative Breast Neoplasms - genetics
/ Triple Negative Breast Neoplasms - metabolism
/ Triple Negative Breast Neoplasms - mortality
/ Triple Negative Breast Neoplasms - pathology
2018
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Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer
by
He, Xueyan
, Wicha, Max S.
, Wang, Dong
, Liu, Mingshan
, Zhou, Lei
, Bai, Fan
, Liu, Yang
, Deng, Lu
, Liu, Suling
in
Analysis
/ Biological markers
/ Biomarkers, Tumor
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Cancer Research
/ Computational Biology - methods
/ DNA sequencing
/ Female
/ Gene Expression Profiling
/ Humans
/ Letter to the Editor
/ Neoplasm Grading
/ Neoplasm Staging
/ Neoplastic Stem Cells - metabolism
/ Neoplastic Stem Cells - pathology
/ Oncology
/ Patient outcomes
/ Prognosis
/ Stem cells
/ Transcriptome
/ Triple Negative Breast Neoplasms - genetics
/ Triple Negative Breast Neoplasms - metabolism
/ Triple Negative Breast Neoplasms - mortality
/ Triple Negative Breast Neoplasms - pathology
2018
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Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer
Journal Article
Transcriptional profiles of different states of cancer stem cells in triple-negative breast cancer
2018
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Overview
Breast cancer stem cells (BCSCs) are thought to be responsible for tumor initiation, metastasis and relapse. Our group and others have described markers useful in isolating BCSCs just as aldehyde dehydrogenase positive (ALDH
+
) or CD24
−
CD44
+
. In fact, cells which simultaneously express both sets of markers have the highest tumor initiating capacity. Although the transcriptomic profile of cells expressing each BCSC marker alone has been reported, the profile of the most tumorigenic population expressing both sets of markers has not. Here we used the biomarker combination of ALDH and CD24/CD44 to sort four populations isolated from triple-negative breast cancer (TNBC) patient-derived xenografts, and performed whole-transcriptome sequencing on each population. We systematically compared the profiles of the three states of BCSCs (ALDH
+
CD24
−
CD44
+
, ALDH
+
non-CD24
−
CD44
+
and ALDH
−
CD24
−
CD44
+
) to that of the differentiated tumor cells (ALDH
−
non-CD24
−
CD44
+
). For the first time, we compared the ALDH
+
CD24
−
CD44
+
BCSCs with the other two BCSC populations. In ALDH
+
CD24
−
CD44
+
BCSCs, we identified
P4HA2
,
PTGR1
and
RAB40B
as potential prognostic markers, which were virtually related to the status of BCSCs and tumor growth in TNBC cells.
Publisher
BioMed Central,BioMed Central Ltd
Subject
/ Biomedical and Life Sciences
/ Computational Biology - methods
/ Female
/ Humans
/ Neoplastic Stem Cells - metabolism
/ Neoplastic Stem Cells - pathology
/ Oncology
/ Triple Negative Breast Neoplasms - genetics
/ Triple Negative Breast Neoplasms - metabolism
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