Related Experiment Video
Updated: Aug 19, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Microarray-based identification of differentially expressed growth- and metastasis-associated genes in pancreatic
1Department of General Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120 Heidelberg, Germany. helmut_friess@med.uni-heidelberg.de
Abstract:
Pancreatic ductal adenocarcinoma (PDAC) has an extremely poor prognosis. To improve diagnosis and treatment, key mechanisms of deregulated molecular functions have to be identified. Using microarray analysis, the expression patterns of 5600 human genes were assessed in PDAC by comparison with the normal pancreas and chronic pancreatitis (CP). The expression of 467 of 5600 genes was increased in PDAC in comparison to the normal pancreas, and the expression of 120 of these genes was not increased in CP. In addition, 341 of 5600 genes were expressed at decreased levels in PDAC tissues, of which 96 were decreased in comparison to both normal and CP tissues. Thus, a total of 808 of 5600 human genes were differentially expressed in pancreatic cancer. The identification of a large panel of altered genes in PDAC will stimulate additional studies that will lead to improved understanding of the molecular mechanisms underlying pancreatic malignant growth.

