Basic Study
Copyright ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Aug 28, 2019; 25(32): 4727-4738
Published online Aug 28, 2019. doi: 10.3748/wjg.v25.i32.4727
Integrative analysis of the inverse expression patterns in pancreas development and cancer progression
Hong-Liang Zang, Guo-Min Huang, Hai-Ying Ju, Xiao-Feng Tian
Hong-Liang Zang, Guo-Min Huang, Xiao-Feng Tian, Department of Hepatobiliary and Pancreatic Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin Province, China
Hai-Ying Ju, Department of Hematology, Jilin Province Blood Center, Changchun 130000, Jilin Province, China
Author contributions: Zang HL performed the majority of experiments and analyzed the data; Huang GM performed the molecular investigations; Ju HY designed and coordinated the research; Tian XF wrote the paper.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See:
Corresponding author: Xiao-Feng Tian, MSc, Attending Doctor, Department of Hepatobiliary and Pancreatic Surgery, China-Japan Union Hospital of Jilin University, No.126 Sendai Street, Changchun 130033, Jilin Province, China.
Telephone: +86-431-84995999
Received: May 5, 2019
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
Research background

Pancreatic diseases remain as one of the most feared and clinically challenging diseases to treat despite continual improvements in therapies.

Research motivation

To develop agents into a targeted drug for explicitly killing cancer cells.

Research objectives

To explore the molecular interpretation patterns of pancreas development and cancer progression.

Research methods

This study used the ANOVA method, self-organizing map-singular value decomposition analysis, enrichment analysis, and hypergeometric test.

Research results

The results investigate continuously dysregulated interpretation patterns in pancreas development and pancreatic cancer.

Research conclusions

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.

Research perspectives

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.