We conducted a comprehensive meta-analysis of pancreatic cancer-expression space by integrating data from otherwise disparate studies.
Currently, the most comprehensive analysis of pancreatic cancer to date, our study primarily serves to highlight limitations inherent with a lack of raw data availability,
insufficient clinical/histopathological information and ambiguous data processing.
It stresses the importance of a global-systems approach to assess and maximise findings from expression profiling of malignant and non-malignant diseases.The results of this meta-analysis are freely available and can be queried and visualised below.
When you use this resource, please cite:
 Emanuela Gadaleta, Rosalind J. Cutts, Gavin P. Kelly, Tatjana Crnogorac-Jurcevic, Hemant M. Kocher, Nicholas R. Lemoine and Claude Chelala, A global insight into a cancer transcriptional space using pancreatic data: importance, findings and flaws. Nucleic Acids Research, 2011, 39(18):7900-7. PDF
Platform: Affymetrix HG U133 Plus 2.0 array Transcript analysed: 47000 Final dataset: 257 Normal pancreas: 4 Normal pancreas adjacent to cancer: 53 Pancreatic cancer including PDAC: 96 Pancreatic cancer cell lines: 47 Ectopic subcutaneous xenografts: 57