Abstract
Pancreatic cancer has one of the worst prognoses due in part to the late diagnosis and the absence of effective treatments. In recent years, global gene-expression profiling and the use of microarray databases have allowed the identification of hundreds of genes that are differentially expressed in pancreatic cancer. However, validation of these genes as biomarkers for early diagnosis, prognosis, or treatment efficacy is still incomplete. As presented here, an integration of different omics sources in the study of pancreatic cancer has revealed several molecular mechanisms that affect pancreatic cancer, indicating the complex history of its development.
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