KIT/hsa-miR-149-5p/MAGI2-AS3 axis affects Breast cancer development by regulating “Ras” signaling pathway: bioinformatics gene expression profiling
KIT/hsa-miR-149-5p/MAGI2-AS3 axis affects Breast cancer development by regulating “Ras” signaling pathway: bioinformatics gene expression profiling
Dorna Dayani,1Milad Sheikh,2Mohammad Rezaei,3Mansoureh Azadeh,4,*
1. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran 2. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran 3. Department of Biology and Biotechnology, University of Pavia, Pavia, Italy 4. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran
Introduction: Breast cancer (BC) is the most commonly diagnosed neoplasm in women worldwide. Among the effective biomarkers in cancer, we can mention miRNAs and lncRNAs. MiRNAs are taken into consideration master gene regulators. additionally, aberrant expression of many lncRNAs has been extensively located in breast cancer. In addition, the mRNA-miRNA-lncRNA axis interaction regulate gene expression. For this reason, it is very essential to study it.
Methods: In this article, an attempt has been made to find a network between genes, miRNAs and lncRNAs in BC, by using microarray methods and databases such as GSE in GEO, gene expression and survival in ENCORI, pathway in Enrichr, protein interactions in STRING, miRNAs in miRWalk, lncRNAs in lncBase v.3 and expression of lncRNAs in lnCAR.
Results: GSE134359 has been performed by using GEO2R and KIT gene with (adjusted P.Value 3.98E-23) and (log FC -7.16) has been selected from 946 genes. This gene encoding a tyrosine kinase receptor and plays a role in many cell types. types of RNAs have been found and investigated. Such as hsa-miR-149-5p with (binding energy -32.2), (coefficient-r -0.182), (HR 0.97) and (log-Rank p 0.83), hsa-miR-671-5p with (binding energy -31.5), (coefficient-r 0.206), (HR 1.15) and (log-Rank p 0.4) which are significantly overexpressed or MAGI2-AS3 lncRNA with (log FC -5.7974) and ZNF436-AS1 lncRNA with (log FC -4.5338) which are downregulated.
Conclusion: Therefore, the results of this study indicate that there might be a communication between this network and BC and reinforces the possibility that KIT is an authentic biomarker for detecting cancer cells. Also, the Ras signaling pathway has been checked, which showed that the KIT plays a role in it. So, it can be assumed that KIT/hsa-miR-149-5p/MAGI2-AS3 and KIT/hsa-miR-671-5p/ZNF436-AS1 axes can be involved in regulating the function of this pathway. Discovering these connections, will help us to know more about the causes of BC as well as finding new solutions and treatments.