title: IGF-I induced genes in stromal fibroblasts predict the clinical outcome of breast and lung cancer patients.
abstract: BACKGROUND
  Insulin-like growth factor-1 (IGF-I) signalling is important for cancer initiation and progression. Given the emerging evidence for the role of the stroma in these processes, we aimed to characterize the effects of IGF-I on cancer cells and stromal cells separately.
  
  
  METHODS
  We used an ex vivo culture model and measured gene expression changes after IGF-I stimulation with cDNA microarrays. In vitro data were correlated with in vivo findings by comparing the results with published expression datasets on human cancer biopsies.
  
  
  RESULTS
  Upon stimulation with IGF-I, breast cancer cells and stromal fibroblasts show some common and other distinct response patterns. Among the up-regulated genes in the stromal fibroblasts we observed a significant enrichment in proliferation associated genes. The expression of the IGF-I induced genes was coherent and it provided a basis for the segregation of the patients into two groups. Patients with tumours with highly expressed IGF-I induced genes had a significantly lower survival rate than patients whose tumours showed lower levels of IGF-I induced gene expression (P = 0.029 - Norway/Stanford and P = 7.96e-09 - NKI dataset). Furthermore, based on an IGF-I induced gene expression signature derived from primary lung fibroblasts, a separation of prognostically different lung cancers was possible (P = 0.007 - Bhattacharjee and P = 0.008 - Garber dataset).
  
  
  CONCLUSIONS
  Expression patterns of genes induced by IGF-I in primary breast and lung fibroblasts accurately predict outcomes in breast and lung cancer patients. Furthermore, these IGF-I induced gene signatures derived from stromal fibroblasts might be promising predictors for the response to IGF-I targeted therapies. See the related commentary by Werner and Bruchim: http://www.biomedcentral.com/1741-7015/8/2.
authors.affiliation: Department of Biomedicine, University of Basel, Basel, Switzerland.
authors.forename: Michal
authors.initials: M
authors.lastname: Rajski
authors.forename: Rosanna
authors.initials: R
authors.lastname: Zanetti-Dällenbach
authors.forename: Brigitte
authors.initials: B
authors.lastname: Vogel
authors.forename: Richard
authors.initials: R
authors.lastname: Herrmann
authors.forename: Christoph
authors.initials: C
authors.lastname: Rochlitz
authors.forename: Martin
authors.initials: M
authors.lastname: Buess
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D048708:Cell Growth Processes / Q000187:drug effects; D045744:Cell Line, Tumor; D016000:Cluster Analysis; D030541:Databases, Genetic; D005260:Female; D005347:Fibroblasts / Q000187:drug effects / Q000378:metabolism / Q000502:physiology; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic / Q000187:drug effects*; D006801:Humans; D007334:Insulin-Like Growth Factor I / Q000494:pharmacology*; D053208:Kaplan-Meier Estimate; D008175:Lung Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D015398:Signal Transduction; D013268:Stimulation, Chemical; D017154:Stromal Cells / Q000187:drug effects / Q000378:metabolism; D015854:Up-Regulation
chemical_list: D007334:Insulin-Like Growth Factor I