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Measuring the distribution of fitness effects in somatic evolution by combining clonal dynamics with dN/dS ratios.
(ELIFE SCIENCES PUBLICATIONS LTD, 2020-03-30)
The distribution of fitness effects (DFE) defines how new mutations spread through an evolving population. The ratio of non-synonymous to synonymous mutations (dN/dS) has become a popular method to detect selection in ...
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 ...
Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors.
(NATURE PORTFOLIO, 2023-03-01)
In cancer, evolutionary forces select for clones that evade the immune system. Here we analyzed >10,000 primary tumors and 356 immune-checkpoint-treated metastases using immune dN/dS, the ratio of nonsynonymous to synonymous ...
Phenotypic plasticity and genetic control in colorectal cancer evolution.
(NATURE PORTFOLIO, 2022-11-24)
Genetic and epigenetic variation, together with transcriptional plasticity, contribute to intratumour heterogeneity1. The interplay of these biological processes and their respective contributions to tumour evolution remain ...
The co-evolution of the genome and epigenome in colorectal cancer.
(NATURE PORTFOLIO, 2022-11-24)
Colorectal malignancies are a leading cause of cancer-related death1 and have undergone extensive genomic study2,3. However, DNA mutations alone do not fully explain malignant transformation4-7. Here we investigate the ...