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Modeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors.
(PUBLIC LIBRARY SCIENCE, 2011-05-05)
The cancer stem cell (CSC) concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult ...
Resolving genetic heterogeneity in cancer.
(NATURE PUBLISHING GROUP, 2019-07-01)
To a large extent, cancer conforms to evolutionary rules defined by the rates at which clones mutate, adapt and grow. Next-generation sequencing has provided a snapshot of the genetic landscape of most cancer types, and ...
Measuring Clonal Evolution in Cancer with Genomics.
(ANNUAL REVIEWS, 2019-08-31)
Cancers originate from somatic cells in the human body that have accumulated genetic alterations. These mutations modify the phenotype of the cells, allowing them to escape the homeostatic regulation that maintains normal ...
Evolutionary dynamics of neoantigens in growing tumors.
(NATURE PORTFOLIO, 2020-10-01)
Cancers accumulate mutations that lead to neoantigens, novel peptides that elicit an immune response, and consequently undergo evolutionary selection. Here we establish how negative selection shapes the clonality of ...
Catch my drift? Making sense of genomic intra-tumour heterogeneity.
(ELSEVIER, 2017-04-01)
The cancer genome is shaped by three components of the evolutionary process: mutation, selection and drift. While many studies have focused on the first two components, the role of drift in cancer evolution has received ...
Measuring cancer evolution from the genome.
(WILEY-BLACKWELL, 2017-01-01)
The temporal dynamics of cancer evolution remain elusive, because it is impractical to longitudinally observe cancers unperturbed by treatment. Consequently, our knowledge of how cancers grow largely derives from inferences ...
Identification of neutral tumor evolution across cancer types.
(NATURE PUBLISHING GROUP, 2016-03-01)
Despite extraordinary efforts to profile cancer genomes, interpreting the vast amount of genomic data in the light of cancer evolution remains challenging. Here we demonstrate that neutral tumor evolution results in a ...