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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 ...
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 ...
Geospatial immune variability illuminates differential evolution of lung adenocarcinoma.
(NATURE PORTFOLIO, 2020-07-01)
Remarkable progress in molecular analyses has improved our understanding of the evolution of cancer cells toward immune escape1-5. However, the spatial configurations of immune and stromal cells, which may shed light on ...
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 ...