Origins and functional consequences of somatic mitochondrial DNA mutations in human cancer

Young Seok Ju1, Ludmil B Alexandrov1, Moritz Gerstung1

  • 1Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, United Kingdom.

Elife
|October 2, 2014
PubMed

Insights

Cancer-associated mutations in mitochondrial DNA (mtDNA) show a distinct strand bias, differing from nuclear DNA mutations. These findings highlight the significant impact of endogenous mutational processes in mitochondria.

Area of Science:

  • Genomics
  • Cancer Biology
  • Mitochondrial Biology

Background:

  • Somatic alterations in nuclear genomes of cancers are well-studied.
  • The origins and impact of mutations in mitochondrial DNA (mtDNA) during cancer development remain unclear.
  • Mitochondria play crucial roles in cellular energy metabolism and apoptosis.

Purpose of the Study:

  • To analyze somatic alterations in mtDNA across a large cohort of tumors.
  • To characterize the mutational signatures and selective pressures acting on mtDNA in cancer.
  • To understand the relationship between mtDNA mutations and cancer progression.

Main Methods:

  • Analysis of somatic mtDNA alterations from 1675 tumors.
  • Identification and characterization of somatic substitutions.
  • Assessment of mutational signatures, strand bias, and selective pressures (neutral vs. negative selection).

Main Results:

  • Identified 1907 somatic mtDNA substitutions with a strong replicative strand bias (C > T, A > G on heavy strand).
  • Observed a strand-asymmetric mutational signature distinct from nuclear cancer genomes but similar to primate germline mtDNA.
  • Found heterogeneity in mtDNA mutations across tumor types, with missense mutations being selectively neutral and truncating mutations under negative selection.

Conclusions:

  • The endogenous mutational mechanism has a greater impact on mtDNA than external mutagens.
  • mtDNA replication is fundamentally linked to the observed mutational patterns.
  • mtDNA mutations exhibit distinct evolutionary trajectories based on their functional impact (neutral drift vs. negative selection).

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