Current Progresses of Single Cell DNA Sequencing in Breast Cancer Research
- PMID: 28924377
- PMCID: PMC5599901
- DOI: 10.7150/ijbs.19627
Current Progresses of Single Cell DNA Sequencing in Breast Cancer Research
Abstract
Breast cancers display striking genetic and phenotypic diversities. To date, several hypotheses are raised to explain and understand the heterogeneity, including theories for cancer stem cell (CSC) and clonal evolution. According to the CSC theory, the most tumorigenic cells, while maintaining themselves through symmetric division, divide asymmetrically to generate non-CSCs with less tumorigenic and metastatic potential, although they can also dedifferentiate back to CSCs. Clonal evolution theory recapitulates that a tumor initially arises from a single cell, which then undergoes clonal expansion to a population of cancer cells. During tumorigenesis and evolution process, cancer cells undergo different degrees of genetic instability and consequently obtain varied genetic aberrations. Yet the heterogeneity in breast cancers is very complex, poorly understood and subjected to further investigation. In recent years, single cell sequencing (SCS) technology developed rapidly, providing a powerful new way to better understand the heterogeneity, which may lay foundations to some new strategies for breast cancer therapies. In this review, we will summarize development of SCS technologies and recent advances of SCS in breast cancer.
Keywords: Breast cancer; Cancer stem cells; Intertumor heterogeneity; Intratumor heterogeneity; Single cell sequencing..
Conflict of interest statement
Competing Interests: The authors have declared that no competing interest exists.
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References
-
- Weigelt B, Peterse JL, van 't Veer LJ. Breast cancer metastasis: markers and models. Nature reviews Cancer. 2005;5:591–602. - PubMed
-
- Dick JE. Stem cell concepts renew cancer research. Blood. 2008;112:4793–807. - PubMed
-
- Reya T, Morrison SJ, Clarke MF, Weissman IL. Stem cells, cancer, and cancer stem cells. Nature. 2001;414:105–11. - PubMed
-
- Shackleton M, Quintana E, Fearon ER, Morrison SJ. Heterogeneity in cancer: cancer stem cells versus clonal evolution. Cell. 2009;138:822–9. - PubMed
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