Stratifying melanoma and breast cancer TCGA datasets on the basis of the CNV of transcription factor binding sites common to proliferation- and apoptosis-effector genes

Gene. 2017 May 30:614:37-48. doi: 10.1016/j.gene.2017.02.026. Epub 2017 Feb 28.

Abstract

Transcription factors that activate both proliferation- and apoptosis-effector genes, along with a number of related observations, have led to a proposal for a feed forward mechanism of activating the two gene classes, whereby a certain concentration of a transcription factor activates the proliferation-effector genes and a higher concentration of the transcription factor activates the apoptosis-effector genes. We reasoned that this paradigm of regulation could lead to, in the cancer setting, a selection for relatively reduced copy numbers of apoptosis-effector gene, transcription factor binding sites (TFBS). Thus, the aim of this investigation was to examine the DNA sequencing read depths of TFBS for a set of proliferation- and apoptosis-effector genes, normalized to the read depths found in matching blood samples, as provided by the cancer genome atlas (TCGA); and thereby document copy number differences among these TFBS. We determined that the melanoma and breast cancer, TCGA datasets could be divided into three categories: (i) no detectable copy number variation for the proliferation- and apoptosis-effector, shared TFBS; (ii) a relative increase in the copy number of proliferation-effector gene TFBS, compared with the copy number of the apoptosis-effector gene TFBS; and (iii) a relative decrease in the number of proliferation-effector gene TFBS. Thus, we conclude that changes in the relative copies of the shared TFBS, for proliferation- and apoptosis-effector genes, have the potential of impacting tumor cell proliferative and apoptotic capacities.

Keywords: Apoptosis-effector genes; Cancer; Copy number variation; Feed-forward mechanism; Proliferation-effector genes; Transcription factor binding sites.

MeSH terms

  • Apoptosis / genetics*
  • Base Sequence / genetics
  • Binding Sites / genetics
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / pathology
  • Cell Proliferation / genetics*
  • Computational Biology / methods
  • DNA Copy Number Variations*
  • Databases, Genetic / classification
  • Female
  • Genetic Predisposition to Disease / genetics
  • Genome, Human / genetics
  • Humans
  • Melanoma / genetics*
  • Melanoma / pathology
  • Mutation
  • Polymorphism, Single Nucleotide
  • Protein Binding
  • Transcription Factors / metabolism*

Substances

  • Transcription Factors