Master Regulators of Causal Networks in Intestinal- and Diffuse-Type Gastric Cancer and the Relation to the RNA Virus Infection Pathway

Author:

Tanabe Shihori1ORCID,Quader Sabina2ORCID,Cabral Horacio3,Perkins Edward J.4,Yokozaki Hiroshi5ORCID,Sasaki Hiroki6

Affiliation:

1. Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, Kawasaki 210-9501, Japan

2. Innovation Centre of NanoMedicine (iCONM), Kawasaki Institute of Industrial Promotion, Kawasaki 210-0821, Japan

3. Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-0033, Japan

4. US Army Engineer Research and Development Center, Vicksburg, MS 39180, USA

5. Department of Pathology, Kobe University Graduate School of Medicine, Kobe 650-0017, Japan

6. Department of Pharmacology and Therapeutics, National Cancer Center Research Institute, Tokyo 104-0045, Japan

Abstract

Causal networks are important for understanding disease signaling alterations. To reveal the network pathways affected in the epithelial–mesenchymal transition (EMT) and cancer stem cells (CSCs), which are related to the poor prognosis of cancer, the molecular networks and gene expression in diffuse- and intestinal-type gastric cancer (GC) were analyzed. The network pathways in GC were analyzed using Ingenuity Pathway Analysis (IPA). The analysis of the probe sets in which the gene expression had significant differences between diffuse- and intestinal-type GC in RNA sequencing of the publicly available data identified 1099 causal networks in diffuse- and intestinal-type GC. Master regulators of the causal networks included lenvatinib, pyrotinib, histone deacetylase 1 (HDAC1), mir-196, and erb-b2 receptor tyrosine kinase 2 (ERBB2). The analysis of the HDAC1-interacting network identified the involvement of EMT regulation via the growth factors pathway, the coronavirus pathogenesis pathway, and vorinostat. The network had RNA–RNA interactions with microRNAs such as mir-10, mir-15, mir-17, mir-19, mir-21, mir-223, mir-25, mir-27, mir-29, and mir-34. The molecular networks revealed in the study may lead to identifying drug targets for GC.

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science (JSPS) KAKENHI

Publisher

MDPI AG

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