Literature DB >> 25953517

Breast cancer heterogeneity: parallel evolution or conscious uncoupling?

Rachael C Natrajan1.   

Abstract

Breast cancer is known to display considerable inter- and intra-tumour genetic heterogeneity. It is now widely accepted that no two breast cancers harbour the same complement of genomic alterations, and that both primary and metastatic breast cancers are composed of multiple genetically diverse subclones that evolve under different selective pressures. Recent work published in the Journal of Pathology by Desmedt and colleagues questions the evolutionary dynamics of multi-focal breast cancer with similar pathological features by studying the mutational repertoire of different lesions. Whilst the majority of the lesions showed some common driver alterations, one-third lacked any common mutations, suggesting very early clonal divergence. These and other recent observations underscore the need for a fundamental understanding of the rules governing breast cancer evolution, and highlight the need for in-depth assessment of driver alterations for appropriate patient management and selective treatment.
Copyright © 2015 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Entities:  

Keywords:  heterogeneity; multi-focal breast cancer; next-generation sequencing

Mesh:

Substances:

Year:  2015        PMID: 25953517     DOI: 10.1002/path.4557

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  2 in total

1.  Genome-wide analysis of UDP-glycosyltransferase super family in Brassica rapa and Brassica oleracea reveals its evolutionary history and functional characterization.

Authors:  Jingyin Yu; Fan Hu; Komivi Dossa; Zhaokai Wang; Tao Ke
Journal:  BMC Genomics       Date:  2017-06-23       Impact factor: 3.969

2.  Identification of trunk mutations in gastric carcinoma: a case study.

Authors:  Zhan Zhou; Shanshan Wu; Jun Lai; Yuan Shi; Chixiao Qiu; Zhe Chen; Yufeng Wang; Xun Gu; Jie Zhou; Shuqing Chen
Journal:  BMC Med Genomics       Date:  2017-07-17       Impact factor: 3.063

  2 in total

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