Novel insights into breast cancer genetic variance through RNA sequencing

Sci Rep. 2013:3:2256. doi: 10.1038/srep02256.

Abstract

Using RNA sequencing of triple-negative breast cancer (TNBC), non-TBNC and HER2-positive breast cancer sub-types, here we report novel expressed variants, allelic prevalence and abundance, and coexpression with other variation, and splicing signatures. To reveal the most prevalent variant alleles, we overlaid our findings with cancer- and population-based datasets and validated a subset of novel variants of cancer-related genes: ESRP2, GBP1, TPP1, MAD2L1BP, GLUD2 and SLC30A8. As a proof-of-principle, we demonstrated that a rare substitution in the splicing coordinator ESRP2 (R353Q) impairs its ability to bind to its substrate FGFR2 pre-mRNA. In addition, we describe novel SNPs and INDELs in cancer relevant genes with no prior reported association of point mutations with cancer, such as MTAP and MAGED1. For the first time, this study illustrates the power of RNA-sequencing in revealing the variation landscape of breast transcriptome and exemplifies analytical strategies to search regulatory interactions among cancer relevant molecules.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles
  • Breast Neoplasms / genetics*
  • Computational Biology
  • Female
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Neoplastic
  • Gene Frequency
  • Genetic Variation*
  • Genome-Wide Association Study
  • Genomics
  • Genotype
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Mutation
  • Polymorphism, Single Nucleotide
  • RNA Precursors / genetics*
  • RNA Splicing
  • Sequence Analysis, RNA
  • Transcriptome
  • Tripeptidyl-Peptidase 1

Substances

  • RNA Precursors
  • Tripeptidyl-Peptidase 1
  • TPP1 protein, human