Purpose:Data on microarray gene expression The Gene
Expression Omnibus (GEO) provided
information on gene expression. Transcription GEO provided two profiles of
human NK cells from breast and adrenal tumors (GSE179509 and GSE143383). Data
processing and normalization The Dseq2 tool in the R programming
language was used to standardize the raw data from GEO. The following analyses
were carried out: fold change and P-value analysis, volcano plot, network
analysis, GEPIA, and David pathway analysis. In this paper, using Venny software,
we discovered 2 genes that are shared by neurotransmitters and NK cells in
breast cancer and adrenal cancer. Between these genes and the pathways, they
are a part of, we discovered a network. Pathway analysis revealed that these
genes are mostly linked to the neurotransmitter and apoptotic pathways. In
breast and adrenal tumors, the genes HRH1 and GABRD were discovered to be
connected to NK cells. In response to breast and adrenal tumors, almost all of
these genes are effective. It is thus postulated that the diagnosis of breast
and adrenal cancer may be affected by the up-or down-regulation of these genes. Methods: Microarray gene expression data gene expression data was
obtained from the Gene Expression Omnibus (GEO) Transcription 2 profile data of
human NK cells from human breast and adrenal cancers were obtained from GEO
(GSE179509 and GSE143383). Processing and normalization of data the raw data
from GEO were normalized with the Dseq2 package in the R software. Fold change
and P value analysis, Volcano plot, network analysis, GEPIA, and David pathway
analysis were performed. Results: In this article, we found genes common
to neurotransmitters with NK cells in adrenal cancer and breast cancer with
Venny program, resulting in 2 genes. We identified a network between these
genes and pathways they belong to. Pathway analysis showed that these genes are
mostly associated with apoptosis and neurotransmitters pathway. Conclusion: HRH1
and GABRD genes were found to be associated with NK cells in breast and adrenal
cancers. Almost all these genes are effective in
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