Detection of high frequency of mutations in a breast and/or ovarian cancer cohort: implications of embracing a multi-gene panel in molecular diagnosis in India

J Hum Genet. 2016 Jun;61(6):515-22. doi: 10.1038/jhg.2016.4. Epub 2016 Feb 25.

Abstract

Breast and/or ovarian cancer (BOC) are among the most frequently diagnosed forms of hereditary cancers and leading cause of death in India. This emphasizes on the need for a cost-effective method for early detection of these cancers. We sequenced 141 unrelated patients and families with BOC using the TruSight Cancer panel, which includes 13 genes strongly associated with risk of inherited BOC. Multi-gene sequencing was done on the Illumina MiSeq platform. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. We were able to detect pathogenic mutations in 51 (36.2%) cases, out of which 19 were novel mutations. When we considered familial breast cancer cases only, the detection rate increased to 52%. When cases were stratified based on age of diagnosis into three categories, ⩽40 years, 40-50 years and >50 years, the detection rates were higher in the first two categories (44.4% and 53.4%, respectively) as compared with the third category, in which it was 26.9%. Our study suggests that next-generation sequencing-based multi-gene panels increase the sensitivity of mutation detection and help in identifying patients with a high risk of developing cancer as compared with sequential tests of individual genes.

MeSH terms

  • Adult
  • Age of Onset
  • Aged
  • Breast Neoplasms / diagnosis
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / genetics*
  • DNA Copy Number Variations
  • Female
  • Gene Deletion
  • Gene Duplication
  • Genes, BRCA1
  • Genes, BRCA2
  • Genetic Testing / methods
  • Hereditary Breast and Ovarian Cancer Syndrome / diagnosis
  • Hereditary Breast and Ovarian Cancer Syndrome / epidemiology*
  • Hereditary Breast and Ovarian Cancer Syndrome / genetics*
  • High-Throughput Nucleotide Sequencing
  • Humans
  • India / epidemiology
  • Middle Aged
  • Mutation Rate
  • Mutation*
  • Ovarian Neoplasms / diagnosis
  • Ovarian Neoplasms / epidemiology*
  • Ovarian Neoplasms / genetics*
  • Prevalence
  • Young Adult