Abstract
Gastric cancer is a disease that develops from the lining of the stomach, whereas Parkinson's disease is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. Although these two diseases seem to be distinct from each other, increasing evidence suggests that they might be linked. To explore the linkage between these two diseases, differentially expressed genes between the diseased people and their normal controls were identified using the barcode algorithm. This algorithm transforms actual gene expression values into barcode values comprised of 1's (expressed genes) and 0's (silenced genes). Once the overlapped differentially expressed genes were identified, their biological relevance was investigated. Thus, using the gene expression profiles and bioinformatics methods, we demonstrate that Parkinson's disease and gastric cancer are indeed linked. This research may serve as a pilot study, and it will stimulate more research to investigate the relationship between gastric cancer and Parkinson's disease from the perspective of gene profiles and their functions.
Document Type
Article
Publication Date
2-16-2021
Digital Object Identifier (DOI)
https://doi.org/10.18632/aging.202623
Funding Information
This study was supported by No. JJKH20190032KJ from the Education Department of Jilin Province and No. 20200201258JC of Science and Technology Developing Plan of Jilin Province.
Related Content
Four microarray datasets were downloaded from the GEO database, the data are open and publicly available.
Repository Citation
Tian, Suyan; Zhao, Shishun; Tang, Mingbo; and Wang, Chi, "Gene Expression Barcode Values Reveal a Potential Link between Parkinson's Disease and Gastric Cancer" (2021). Internal Medicine Faculty Publications. 231.
https://uknowledge.uky.edu/internalmedicine_facpub/231
Notes/Citation Information
Published by Aging, v. 13.
© 2021 Tian et al.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.