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Clonal evolution in cancer

Jesse J. Salk
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The article was published on 2010-01-01 and is currently open access. It has received 817 citations till now. The article focuses on the topics: Somatic evolution in cancer & Cancer.

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Citations
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Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine

TL;DR: Approaches to detect somatic mutations from high-throughput DNA sequencing data, particularly for tumor samples that comprise heterogeneous populations of cells, and techniques to identify recurrent combinations of somatics mutations are described.
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High-Definition Reconstruction of Clonal Composition in Cancer

TL;DR: In this paper, a probabilistic algorithm for the performance of subclone reconstruction from data generated by high-throughput DNA sequencing: read depth, B-allele counts at germline heterozygous loci, and somatic mutation counts.
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Life history trade-offs in cancer evolution

TL;DR: Life history theory suggests that different therapy dosing schedules might select for fast or slow life history cell phenotypes, with important clinical consequences.
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Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine

TL;DR: The presence of multiple subclones within tumors mandates understanding of longitudinal and spatial subclonal dynamics and resolution of spatial and temporal heterogeneity may offer insight into therapy response, tumor evolutionary histories and clinical trial design.
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The influence of subclonal resistance mutations on targeted cancer therapy

TL;DR: Early detection of pre-existing or emerging drug resistance could enable more personalized use of targeted cancer therapy, as patients could be stratified to receive the therapies that are most likely to be effective.
References
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Metastatic colonization by circulating tumour cells

TL;DR: An improved understanding of the mechanistic determinants of such colonization is needed to better prevent and treat metastatic cancer.
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Clonal evolution in breast cancer revealed by single nucleus genome sequencing

TL;DR: The data show that aneuploid rearrangements occurred early in tumour evolution and remained highly stable as the tumour masses clonally expanded, which has important implications for the diagnosis, therapeutic treatment and evolution of chemoresistance in breast cancer.