Abstract

BackgroundCancer is increasingly understood to arise in the context of dynamically evolving genomes with continuously generated variants subject to selective pressures. Diverse mutations have been identified in papillary thyroid carcinoma (PTC), but unifying theories underlying genomic change are lacking. Applying a framework of somatic evolution, we sought to broaden understanding of the PTC genome through identification of global trends that help explain risk of tumorigenesis.MethodsExome sequencing was performed on 53 PTC and matched adjacent non-tumor thyroid tissues (ANT). Single nucleotide substitution (SNS) signatures from each sample pair were divided into three subsets based on their presence in tumor, non-tumor thyroid, or both. Nine matched blood samples were sequenced and SNS signatures intersected with these three subsets. The intersected genomic signatures were used to define branch-points in the evolution of the tumor genome, distinguishing variants present in the tissues’ common ancestor cells from those unique to each tissue type and therefore acquired after genomic divergence of the tumor, non-tumor, and blood samples.ResultsSingle nucleotide substitutions shared by the tumor and the non-tumor thyroid were dominated by C-to-T transitions, whereas those unique to either tissue type were enriched for C-to-A transversions encoding non-synonymous, predicted-deleterious variants. On average, SNSs of matched blood samples were 81 % identical to those shared by tumor and non-tumor thyroid, but only 12.5 % identical to those unique to either tissue. Older age and BRAF mutation were associated with increased SNS burden.ConclusionsThe current study demonstrates novel patterns of genomic change in PTC, supporting a theory of somatic evolution in which the zygote’s germline genome undergoes continuous remodeling to produce progressively differentiated, tissue-specific signatures. Late somatic events in thyroid tissue demonstrate shifted mutational spectra compared to earlier polymorphisms. These late events are enriched for predicted-deleterious variants, suggesting a mechanism of genomic instability in PTC tumorigenesis.Electronic supplementary materialThe online version of this article (doi:10.1186/s12885-016-2665-7) contains supplementary material, which is available to authorized users.

Highlights

  • Cancer is increasingly understood to arise in the context of dynamically evolving genomes with continuously generated variants subject to selective pressures

  • Exome sequencing of genomic DNA from 53 matched papillary thyroid carcinoma (PTC) and matched adjacent non-tumor thyroid samples (ANTs) yielded a mean 198- and 95-fold coverage, respectively, with greater than 8x coverage in over 96 % of bases

  • There was no significant difference in Single nucleotide substitution (SNS) count on the basis of gender, stage, or histological subtype (Additional file 1: Table S1)

Read more

Summary

Introduction

Cancer is increasingly understood to arise in the context of dynamically evolving genomes with continuously generated variants subject to selective pressures. Mutations in the phosphoinositide 3kinase (PI3K) pathway genes PTEN, PIK3CA, and AKT1 have been reported at lower frequencies as well as alterations in the EIF1AX, PPM1D, and CHEK2 genes [2, 6, 7] This increasingly comprehensive catalog of recurrent genomic events allows for more specific tumor subclassification and may provide clues to molecular mechanisms driving tumorigenesis. Despite such a diversity of genomic alterations, PTC does not demonstrate great clinical heterogeneity, suggesting that a unifying concept of the genomic contribution to malignant transformation continues to be elusive. Those acquired variants providing a selective advantage at the cellular level will be propagated, resulting in stepwise accumulation of diverse genomic alterations, and tumors with highly individualized genotypes [8]

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.