bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
Investigation of the underlying hub genes and molecular pathogenesis in gastric cancer by integrated bioinformatic analyses
Basavaraj Vastrad1, Chanabasayya Vastrad*2
1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India.
2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India.
* Chanabasayya Vastrad
Ph: +919480073398
Chanabasava Nilaya, Bharthinagar,
Dharwad 580001 , Karanataka, India
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
Abstract
The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a protein