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Research article
Cancer Stem Cell Transcriptome Landscape Reveals Biomarkers Driving Breast Cancer Heterogeneity
Xiaofeng Dai
Jiangnan university
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0006-4042
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Breast cancers are heterogeneous diseases with distinct clinical outcomes and cancer stem cell percentages. Exploring breast cancer stem cell landscape could help understand the heterogeneity of such cancers with profound clinical relevance.
Methods
We conducted transcriptional profiling of cancer stem cells and non-cancer stem cells isolated from 3 triple negative breast cancer cell lines, analyzed the cancer stem cell transcriptome landscape that drives breast cancer heterogeneity through differential expressed gene analysis, gene ontology and pathway enrichment as well as network construction, and performed experimental validations on the network hub gene.
Results
We identified a cancer stem cell feature panel consisting of 122 and 381 over-represented and under-expressed genes capable of differentiating breast cancer subtypes. We also underpin the prominent roles of the PI3K-AKT pathway in empowering cancer cells with uncontrolled proliferative and migrative abilities that ultimately foster cancer stemness, and reveal the potential promotive roles of ATP6V1B1 on breast tumor stemness through functional in vitro studies.
Conclusions
Our study contributes in identifying a cancer stem cell feature panel for breast tumors that drives breast cancer heterogeneity at the transcriptional level, which provides a reservoir for diagnostic marker and/or therapeutic target identification once experimentally validated as demonstrated by ATP6V1B1.
Keywords
Cancer stem cell, transcriptome, breast cancer, biomarker
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This is a preprint. It has not completed peer review.
Research article
Cancer Stem Cell Transcriptome Landscape Reveals Biomarkers Driving Breast Cancer Heterogeneity
Xiaofeng Dai
Jiangnan university
Corresponding Author
ORCiD: https://orcid.org/0000-0002-0006-4042
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 28 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Cancer Biology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background
Breast cancers are heterogeneous diseases with distinct clinical outcomes and cancer stem cell percentages. Exploring breast cancer stem cell landscape could help understand the heterogeneity of such cancers with profound clinical relevance.
Methods
We conducted transcriptional profiling of cancer stem cells and non-cancer stem cells isolated from 3 triple negative breast cancer cell lines, analyzed the cancer stem cell transcriptome landscape that drives breast cancer heterogeneity through differential expressed gene analysis, gene ontology and pathway enrichment as well as network construction, and performed experimental validations on the network hub gene.
Results
We identified a cancer stem cell feature panel consisting of 122 and 381 over-represented and under-expressed genes capable of differentiating breast cancer subtypes. We also underpin the prominent roles of the PI3K-AKT pathway in empowering cancer cells with uncontrolled proliferative and migrative abilities that ultimately foster cancer stemness, and reveal the potential promotive roles of ATP6V1B1 on breast tumor stemness through functional in vitro studies.
Conclusions
Our study contributes in identifying a cancer stem cell feature panel for breast tumors that drives breast cancer heterogeneity at the transcriptional level, which provides a reservoir for diagnostic marker and/or therapeutic target identification once experimentally validated as demonstrated by ATP6V1B1.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5