title: Genomic profiling in locally advanced and inflammatory breast cancer and its link to DCE-MRI and overall survival.
abstract: OBJECTIVE
  We have previously reported that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) perfusion patterns obtained from locally advanced breast cancer (LABC) patients prior to neoadjuvant therapy predicted pathologic clinical response. Genomic analyses were also independently conducted on the same patient population. This retrospective study was performed to test two hypotheses: (1) gene expression profiles are associated with DCE-MRI perfusion patterns, and (2) association between long-term overall survival data and gene expression profiles can lead to the identification of novel predictive biomarkers.
  
  
  METHODS
  We utilised RNA microarray and DCE-MRI data from 47 LABC patients, including 13 inflammatory breast cancer (IBC) patients. Association between gene expression profile and DCE-MRI perfusion patterns (centrifugal and centripetal) was determined by Wilcoxon rank sum test. Association between gene expression level and survival was assessed using a Cox rank score test. Additional genomic analysis of the IBC subset was conducted, with a period of follow-up of up to 11 years. Associations between gene expression and overall survival were further assessed in The Cancer Genome Atlas Data Portal.
  
  
  RESULTS
  Differences in gene expression profiles were seen between centrifugal and centripetal perfusion patterns in the sulphotransferase family, cytosolic, 1 A, phenol-preferring, members 1 and 2 (SULT1A1, SULT1A2), poly (ADP-ribose) polymerase, member 6 (PARP6), and metastasis tumour antigen1 (MTA1). In the IBC subset our analyses demonstrated that differential expression of 45 genes was associated with long-term survival.
  
  
  CONCLUSIONS
  Here we have demonstrated an association between DCE-MRI perfusion patterns and gene expression profiles. In addition we have reported on candidate prognostic biomarkers in IBC patients, with some of the genes being significantly associated with survival in IBC and LABC.
authors: Department of Radiation Oncology, Duke University Medical Center , Durham , North Carolina .
authors: Sharareh
authors: S
authors: Siamakpour-Reihani
authors: Kouros
authors: K
authors: Owzar
authors: Chen
authors: C
authors: Jiang
authors: Peter M
authors: PM
authors: Scarbrough
authors: Oana I
authors: OI
authors: Craciunescu
authors: Janet K
authors: JK
authors: Horton
authors: Holly K
authors: HK
authors: Dressman
authors: Kimberly L
authors: KL
authors: Blackwell
authors: Mark W
authors: MW
authors: Dewhirst
mesh_terms: D000368:Aged; D001943:Breast Neoplasms / Q000235:genetics* / Q000401:mortality / Q000473:pathology; D003287:Contrast Media; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D046228:Microarray Analysis; D008875:Middle Aged; D011379:Prognosis; D012189:Retrospective Studies; D015996:Survival Rate; D059467:Transcriptome
chemical_list: D003287:Contrast Media
keywords: Breast cancer; DCE-MRI; genomic; imaging; inflammatory breast cancer; locally advanced breast cancer; perfusion patterns; survival