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DNA barcoding reveals diverse growth kinetics of human breast tumour subclones in serially passaged xenografts
- Source :
- Nature Communications
- Publication Year :
- 2014
-
Abstract
- Genomic and phenotypic analyses indicate extensive intra- as well as intertumoral heterogeneity in primary human malignant cell populations despite their clonal origin. Cellular DNA barcoding offers a powerful and unbiased alternative to track the number and size of multiple subclones within a single human tumour xenograft and their response to continued in vivo passaging. Using this approach we find clone-initiating cell frequencies that vary from ~1/10 to ~1/10,000 cells transplanted for two human breast cancer cell lines and breast cancer xenografts derived from three different patients. For the cell lines, these frequencies are negatively affected in transplants of more than 20,000 cells. Serial transplants reveal five clonal growth patterns (unchanging, expanding, diminishing, fluctuating or of delayed onset), whose predominance is highly variable both between and within original samples. This study thus demonstrates the high growth potential and diverse growth properties of xenografted human breast cancer cells.<br />Cancer cells within the same tumour are heterogeneous in their tumorigenic potential, differentiation status and sensitivity to treatments. Here Nguyen et al. use a sensitive DNA barcoding method to characterize the diversity of clonal growth behaviour within human breast tumours.
- Subjects :
- Multidisciplinary
Growth kinetics
General Physics and Astronomy
Breast Neoplasms
General Chemistry
Biology
Bioinformatics
DNA barcoding
General Biochemistry, Genetics and Molecular Biology
Article
Clone Cells
Kinetics
Mice
Cell Line, Tumor
Cancer cell
Cancer research
Tumor Cells, Cultured
Animals
DNA Barcoding, Taxonomic
Humans
Female
Human breast
Clonal growth
Neoplasm Transplantation
Cell Proliferation
Subjects
Details
- ISSN :
- 20411723
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Nature communications
- Accession number :
- edsair.doi.dedup.....cf02499d0bb927a2fbd0e8420bbf4ab6