| Literature DB >> 24839966 |
Joji Kurian Thomas1, Min-Sik Kim2, Lavanya Balakrishnan3, Vishalakshi Nanjappa1, Rajesh Raju3, Arivusudar Marimuthu3, Aneesha Radhakrishnan4, Babylakshmi Muthusamy5, Aafaque Ahmad Khan3, Sruthi Sakamuri6, Shantal Gupta Tankala7, Mukul Singal8, Bipin Nair9, Ravi Sirdeshmukh3, Aditi Chatterjee3, T S Keshava Prasad1, Anirban Maitra10, Harsha Gowda3, Ralph H Hruban11, Akhilesh Pandey12.
Abstract
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.Entities:
Keywords: biomarker; body fluids; chronic pancreatitis; secreted
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Year: 2014 PMID: 24839966 PMCID: PMC4119079 DOI: 10.4161/cbt.29188
Source DB: PubMed Journal: Cancer Biol Ther ISSN: 1538-4047 Impact factor: 4.742