Background Genomic analysis is the promising tool to clear understanding of the
tumorigenesis and guide molecular classification for pancreatic cancer. Our purpose was to …

Background Pancreatic cancer (PC) is a highly fatal and aggressive disease with its
incidence and mortality quite discouraging. An effective prediction model is urgently needed …

Pancreatic cancer is a lethal malignancy with a poor prognosis. This study aims to identify
pancreatic cancer-related genes and develop a robust diagnostic model to detect this …

Background Pancreatic cancer has been a threateningly lethal malignant tumor worldwide.
Despite the promising survival improvement in other cancer types attributing to the fast …

Background Single-cell sequencing technology has become an indispensable tool in tumor
mechanism and heterogeneity studies. Pancreatic adenocarcinoma (PAAD) lacks early …

Pancreatic adenocarcinoma (PAAD) is one of the most lethal malignant tumors in the world.
The GSE55643 and GSE15471 microarray datasets were downloaded to screen the …

The study aimed to dissect the molecular mechanism of pancreatic cancer by a range of
bioinformatics approaches. Three microarray datasets (GSE32676, GSE21654, and …

Simple Summary Pancreatic adenocarcinoma (PAAD) is a devastating malignant tumor with
a dismal prognosis. How to evaluate the prognosis efficiently is urgently needed for PAAD …

The present study aimed to screen the key genes in pancreatic cancer and to explore the
pathogenesis of pancreatic cancer. A total of three expression profiling datasets (GSE28735 …

Pancreatic cancer is an aggressive malignancy with a five-year mortality of 97–98% due to
widespread metastatic disease. A better understanding of the molecular mechanism of …