Literature DB >> 24870262

Regional biases in mutation screening due to intratumoural heterogeneity of prostate cancer.

Tae-Min Kim1, Seung-Hyun Jung, In-Pyo Baek, Sung-Hak Lee, Youn-Jin Choi, Ji-Youl Lee, Yeun-Jun Chung, Sug-Hyung Lee.   

Abstract

Intratumoural heterogeneity (ITH) leads to regional biases of the mutational landscape in a single tumour and may influence the single biopsy-based clinical diagnosis and treatment decision. To evaluate the extent of ITH in unifocal prostate cancers (PCAs), we analysed multiple regional biopsies from three PCAs, using whole-exome sequencing, DNA copy number and gene expression profiling analyses. A substantial level of ITH was identified, in that 0-61% and 18-71% of somatic variants were common or private, respectively, within a given cancer. The enhanced mutation detection rate in the combined sequencing dataset across intratumoural biopsies was demonstrated with respect to the total number of mutations identified in a given tumour. Allele frequencies of the mutations were positively correlated with the levels of intratumoural recurrence (private < shared < common), but some common mutations showed low allele frequency, suggesting that not all were clonally fixed. Regional biases in the presentation of a well-known TMPRSS2-ERG fusion was noted in one PCA and the somatic mutation- and copy number-based phylogenetic relationships between intratumoural biopsies were largely concordant. Genes showing intratumoural expression variability were commonly enriched in the molecular function of eicosanoid metabolism and PCA-relevant clinical markers. Taken together, our analyses identified a substantial level of genetic ITH in unifocal PCAs at the mutation, copy number and expression levels, which should be taken into account for the identification of biomarkers in the clinical setting.
Copyright © 2014 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Entities:  

Keywords:  cancer genome; copy number; heterogeneity; mutation; prostate cancer

Mesh:

Substances:

Year:  2014        PMID: 24870262     DOI: 10.1002/path.4380

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


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