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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 ...
Evolutionary dynamics of residual disease in human glioblastoma.
(OXFORD UNIV PRESS, 2019-03-01)
BACKGROUND: Glioblastoma is the most common and aggressive adult brain malignancy against which conventional surgery and chemoradiation provide limited benefit. Even when a good treatment response is obtained, recurrence ...
Exploiting evolutionary steering to induce collateral drug sensitivity in cancer.
(NATURE PORTFOLIO, 2020-04-21)
Drug resistance mediated by clonal evolution is arguably the biggest problem in cancer therapy today. However, evolving resistance to one drug may come at a cost of decreased fecundity or increased sensitivity to another ...
Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data.
(PUBLIC LIBRARY SCIENCE, 2019-07-29)
Quantification of the effect of spatial tumour sampling on the patterns of mutations detected in next-generation sequencing data is largely lacking. Here we use a spatial stochastic cellular automaton model of tumour growth ...
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 ...
Subclonal reconstruction of tumors by using machine learning and population genetics.
(NATURE PUBLISHING GROUP, 2020-09-01)
Most cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopulations, as well as normal cells. Subclonal reconstruction methods based on machine learning aim to separate those subpopulations ...
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 ...
Mapping the breast cancer metastatic cascade onto ctDNA using genetic and epigenetic clonal tracking.
(NATURE PORTFOLIO, 2020-03-27)
Circulating tumour DNA (ctDNA) allows tracking of the evolution of human cancers at high resolution, overcoming many limitations of tissue biopsies. However, exploiting ctDNA to determine how a patient's cancer is evolving ...
Longitudinal Liquid Biopsy and Mathematical Modeling of Clonal Evolution Forecast Time to Treatment Failure in the PROSPECT-C Phase II Colorectal Cancer Clinical Trial.
(AMER ASSOC CANCER RESEARCH, 2018-08-30)
Sequential profiling of plasma cell-free DNA (cfDNA) holds immense promise for early detection of patient progression. However, how to exploit the predictive power of cfDNA as a liquid biopsy in the clinic remains unclear. ...
The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer.
(SPRINGER, 2018-02-01)
Purpose: The most significant prognostic factor in early breast cancer is lymph node involvement. This stage between localized and systemic disease is key to understanding breast cancer progression; however, our knowledge ...