Mutational landscape differences between young-onset and older-onset breast cancer patients

BMC Cancer. 2020 Mar 12;20(1):212. doi: 10.1186/s12885-020-6684-z.

Abstract

Background: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours.

Methods: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages "deconstructSigs" and "SomaticSignatures" to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset.

Results: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young-onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young-onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. Signatures resembling COSMIC signatures 2 and 13 were observed among both age groups. We identified a class of tumours with a unique combination of signatures that may be associated with young age of onset.

Conclusions: The results of this exploratory study provide some evidence that the mutational landscape and mutational signatures among young-onset breast cancer are different from those of older-onset patients. The characterization of young-onset tumours could provide clues to their etiology which may inform future prevention. Further studies are required to confirm our findings.

Keywords: Breast cancer; Genomics; Mutational signatures; Somatic mutations; Young women.

MeSH terms

  • Adult
  • Age of Onset
  • Antigens, CD / genetics
  • Breast Neoplasms / genetics*
  • Cadherins / genetics
  • Class I Phosphatidylinositol 3-Kinases / genetics
  • DNA Mutational Analysis / methods*
  • Female
  • GATA3 Transcription Factor / genetics
  • Gene Regulatory Networks*
  • Humans
  • MAP Kinase Kinase Kinase 1 / genetics
  • Middle Aged
  • Software
  • Young Adult
  • beta Catenin / genetics

Substances

  • Antigens, CD
  • CDH1 protein, human
  • CTNNB1 protein, human
  • Cadherins
  • GATA3 Transcription Factor
  • GATA3 protein, human
  • beta Catenin
  • Class I Phosphatidylinositol 3-Kinases
  • PIK3CA protein, human
  • MAP Kinase Kinase Kinase 1
  • MAP3K1 protein, human