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Clonal evolution in breast cancer revealed by single nucleus genome sequencing
- Source :
- Nature
- Publication Year :
- 2014
- Publisher :
- Springer Science and Business Media LLC, 2014.
-
Abstract
- Sequencing studies of breast tumour cohorts have identified many prevalent mutations, but provide limited insight into the genomic diversity within tumours. Here we developed a whole-genome and exome single cell sequencing approach called nuc-seq that uses G2/M nuclei to achieve 91% mean coverage breadth. We applied this method to sequence single normal and tumour nuclei from an oestrogen-receptor-positive (ER(+)) breast cancer and a triple-negative ductal carcinoma. In parallel, we performed single nuclei copy number profiling. Our data show that aneuploid rearrangements occurred early in tumour evolution and remained highly stable as the tumour masses clonally expanded. In contrast, point mutations evolved gradually, generating extensive clonal diversity. Using targeted single-molecule sequencing, many of the diverse mutations were shown to occur at low frequencies (10%) in the tumour mass. Using mathematical modelling we found that the triple-negative tumour cells had an increased mutation rate (13.3×), whereas the ER(+) tumour cells did not. These findings have important implications for the diagnosis, therapeutic treatment and evolution of chemoresistance in breast cancer.
- Subjects :
- Mutation rate
Triple Negative Breast Neoplasms
Breast Neoplasms
Biology
Somatic evolution in cancer
Article
DNA sequencing
Clonal Evolution
03 medical and health sciences
0302 clinical medicine
Breast cancer
Cell Line, Tumor
medicine
Humans
Exome
030304 developmental biology
Genetics
0303 health sciences
Genome
Multidisciplinary
Point mutation
Genetic Variation
Sequence Analysis, DNA
Models, Theoretical
Ductal carcinoma
medicine.disease
DNA Fingerprinting
3. Good health
Single cell sequencing
030220 oncology & carcinogenesis
Mutation
Female
Single-Cell Analysis
Subjects
Details
- ISSN :
- 14764687 and 00280836
- Volume :
- 512
- Database :
- OpenAIRE
- Journal :
- Nature
- Accession number :
- edsair.doi.dedup.....be1102ee7402f57c5499762bb3d4cc6b
- Full Text :
- https://doi.org/10.1038/nature13600