Published online Aug 28, 2019. doi: 10.3748/wjg.v25.i32.4727
Peer-review started: May 5, 2019
First decision: June 10, 2019
Revised: July 5, 2019
Accepted: July 19, 2019
Article in press: July 19, 2019
Published online: August 28, 2019
Processing time: 118 Days and 4.3 Hours
Pancreatic diseases remain as one of the most feared and clinically challenging diseases to treat despite continual improvements in therapies.
To develop agents into a targeted drug for explicitly killing cancer cells.
To explore the molecular interpretation patterns of pancreas development and cancer progression.
This study used the ANOVA method, self-organizing map-singular value decomposition analysis, enrichment analysis, and hypergeometric test.
The results investigate continuously dysregulated interpretation patterns in pancreas development and pancreatic cancer.
Integrative analysis of continuously dysregulated interpretation patterns to establish the inverse interpretation in metabolites and gene levels. Through integrating the genes with metabolites, some key abnormal regions of metabolic pathways have been established.
With the increase of human disease database, a larger-scale integrative analysis is needed for the correlation with pancreas development and cancer. We believe the more convince underlying mechanism and potential drug development targets could be supposed by the larger-scale development and integrative cancer analysis in further. Also, this method could be used for other diseases investigation.