Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer

Abstract

Insights

The MRE11A-RAD50-Nibrin (MRN) complex genes are established as intermediate-risk breast cancer susceptibility genes. Pathogenic variants include a notable proportion of missense substitutions, similar to ATM and CHEK2 genes.

Area of Science:

  • Genetics and Genomics
  • Cancer Biology
  • Molecular Oncology

Background:

  • The MRE11A-RAD50-Nibrin (MRN) complex is crucial for DNA double-strand break repair.
  • Inherited mutations in MRN genes are linked to genetic instability and potentially breast cancer susceptibility.
  • Previous data on MRN genes and breast cancer risk were inconclusive.

Purpose of the Study:

  • To investigate whether rare variants in MRN genes act as intermediate-risk breast cancer susceptibility alleles.
  • To determine if MRN gene susceptibility follows a BRCA1/BRCA2 (truncating variants) or ATM/CHEK2 (missense variants) pattern.

Main Methods:

  • Mutation screening of MRN genes (MRE11A, RAD50, NBN) in 1,313 early-onset breast cancer cases and 1,123 controls using high-resolution melt curve analysis and Sanger sequencing.
  • Analysis of rare variants (allele frequency <0.1%) including protein-truncating, spliceogenic, and key functional domain missense substitutions.
  • Logistic regression analysis to assess breast cancer risk associated with MRN variants.

Main Results:

  • MRN genes provide significant evidence as intermediate-risk breast cancer susceptibility genes (OR=2.88, P=0.0090).
  • Missense substitutions were more frequent than truncating variants (24 vs. 12) and showed a higher odds ratio (3.07 vs. 2.61).
  • Re-analysis confirmed ATM, BRCA1, and BRCA2 genes do not harbor common pathogenic alleles (>0.1% frequency).

Conclusions:

  • MRE11A, RAD50, and NBN are confirmed as intermediate-risk breast cancer susceptibility genes.
  • The spectrum of pathogenic variants in MRN genes includes a significant proportion of missense substitutions, similar to ATM and CHEK2.
  • Further research is needed to establish optimal analysis models for MRN variants and achieve clinical classification.