Radiation Gene-expression Signatures in Primary Breast Cancer Cells

Anticancer Res. 2018 May;38(5):2707-2715. doi: 10.21873/anticanres.12512.

Abstract

Background/aim: In breast cancer (BC) care, radiation therapy (RT) is an efficient treatment to control localized tumor. Radiobiological research is needed to understand molecular differences that affect radiosensitivity of different tumor subtypes and the response variability. The aim of this study was to analyze gene expression profiling (GEP) in primary BC cells following irradiation with doses of 9 Gy and 23 Gy delivered by intraoperative electron radiation therapy (IOERT) in order to define gene signatures of response to high doses of ionizing radiation.

Materials and methods: We performed GEP by cDNA microarrays and evaluated cell survival after IOERT treatment in primary BC cell cultures. Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to validate candidate genes.

Results: We showed, for the first time, a 4-gene and a 6-gene signature, as new molecular biomarkers, in two primary BC cell cultures after exposure at 9 Gy and 23 Gy respectively, for which we observed a significantly high survival rate.

Conclusion: Gene signatures activated by different doses of ionizing radiation may predict response to RT and contribute to defining a personalized biological-driven treatment plan.

Keywords: Intraoperative electron radiation therapy; Ionizing radiation; gene signatures; primary breast cancer cells.

Publication types

  • Comparative Study

MeSH terms

  • Biomarkers, Tumor
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / pathology
  • DNA, Complementary / genetics
  • Dose-Response Relationship, Radiation
  • Electrons / therapeutic use*
  • Female
  • Gene Expression Regulation, Neoplastic / radiation effects*
  • Humans
  • Intraoperative Care
  • Radiation Tolerance
  • Radiotherapy, High-Energy*
  • Real-Time Polymerase Chain Reaction
  • Tissue Array Analysis
  • Transcriptome*
  • Tumor Cells, Cultured
  • Whole Genome Sequencing

Substances

  • Biomarkers, Tumor
  • DNA, Complementary