Pancreatic cancer is the fourth leading cause of
cancer-related death in the world. The etiology of
pancreatic cancer is heterogeneous with a wide range of alterations that have already been reported at the level of the genome, transcriptome, and
proteome. The past decade has witnessed a large number of experimental studies using high-throughput technology platforms to identify genes whose expression at the transcript or
protein levels is altered in
pancreatic cancer. Based on expression studies, a number of molecules have also been proposed as potential
biomarkers for diagnosis and prognosis of this deadly
cancer. Currently, there are no repositories which provide an integrative view of multiple Omics data sets from published research on
pancreatic cancer. Here, we describe the development of a web-based resource,
Pancreatic Cancer Database (http://www.pancreaticcancerdatabase.org), as a unified platform for
pancreatic cancer research. PCD contains manually curated information pertaining to quantitative alterations in
miRNA,
mRNA, and
proteins obtained from small-scale as well as high-throughput studies of
pancreatic cancer tissues and cell lines. We believe that PCD will serve as an integrative platform for scientific community involved in
pancreatic cancer research.