Investigation of radiosensitivity gene signatures in cancer cell lines

Research output: Contribution to journalArticle

  • External authors:
  • John S. Hall
  • Rohan Iype
  • Joana Senra
  • Janet Taylor
  • Lucile Armenoult
  • Kenneth Oguejiofor
  • Yaoyong Li
  • Peter L. Stern
  • Mark J. O'Connor
  • Crispin J. Miller

Abstract

Intrinsic radiosensitivity is an important factor underlying radiotherapy response, but there is no method for its routine assessment in human tumours. Gene signatures are currently being derived and some were previously generated by expression profiling the NCI-60 cell line panel. It was hypothesised that focusing on more homogeneous tumour types would be a better approach. Two cell line cohorts were used derived from cervix [n = 16] and head and neck [n = 11] cancers. Radiosensitivity was measured as surviving fraction following irradiation with 2 Gy (SF2) by clonogenic assay. Differential gene expression between radiosensitive and radioresistant cell lines (SF2〈/〉. median) was investigated using Affymetrix GeneChip Exon 1.0ST (cervix) or U133A Plus2 (head and neck) arrays. There were differences within cell line cohorts relating to tissue of origin reflected by expression of the stratified epithelial marker p63. Of 138 genes identified as being associated with SF2, only 2 (1.4%) were congruent between the cervix and head and neck carcinoma cell lines (MGST1 and TFPI), and these did not partition the published NCI-60 cell lines based on SF2. There was variable success in applying three published radiosensitivity signatures to our cohorts. One gene signature, originally trained on the NCI-60 cell lines, did partially separate sensitive and resistant cell lines in all three cell line datasets. The findings do not confirm our hypothesis but suggest that a common transcriptional signature can reflect the radiosensitivity of tumours of heterogeneous origins. © 2014 Hall et al.

Bibliographical metadata

Original languageEnglish
Article numbere86329
JournalPLoS ONE
Volume9
Issue number1
DOIs
Publication statusPublished - 22 Jan 2014