POLE Mutation Spectra Are Shaped by the Mutant Allele Identity, Its Abundance, and Mismatch Repair Status

Karl P Hodel1, Meijuan J S Sun1, Nathan Ungerleider2

  • 1Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA 70112, USA.

Molecular Cell
|June 5, 2020
PubMed

Insights

Human tumors with DNA polymerase ε (POLE) mutations exhibit high mutation burdens. Different POLE variants and mismatch repair (MMR) status influence mutation signatures, categorizing tumors into distinct subgroups.

Area of Science:

  • Genetics
  • Cancer Biology
  • Molecular Biology

Background:

  • Mutations in the DNA polymerase ε (POLE) gene are linked to human tumors with exceptionally high mutation burdens.
  • These tumors display distinct mutation signatures, but their origins are not fully understood.
  • The role of mismatch repair (MMR) in POLE-driven mutagenesis is a key area of investigation.

Purpose of the Study:

  • To investigate the impact of POLE tumor variants on mutation signatures in human cell lines.
  • To determine if POLE variants can drive mutagenesis in the presence of functional mismatch repair (MMR).
  • To explore how POLE allele type, expression, and MMR status influence tumor mutation profiles.

Main Methods:

  • Engineered human cell lines expressing POLE tumor variants using CRISPR-Cas9.
  • Cultured cell lines with and without functional mismatch repair (MMR).
  • Performed whole-exome sequencing to analyze mutation accumulation over population doublings.

Main Results:

  • POLE cancer mutants, unlike exonuclease active site mutants, induce signature mutagenesis even with functional MMR.
  • The relative abundance of mutation signatures varies based on the specific POLE allele, its expression, and MMR status.
  • Cell line data aligns with human patient data, suggesting distinct POLE mutant behaviors.

Conclusions:

  • Different POLE mutants exhibit distinct impacts on replication fidelity and mutagenesis.
  • POLE mutation signatures can stratify tumors into subgroups based on genetic and expression factors.
  • Understanding these mechanisms is crucial for targeted cancer therapies.

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