Investigation and bioinformatic analysis of the effect or lack of effect of FABP7 gene on trachea, bronchus and lung cancer
Investigation and bioinformatic analysis of the effect or lack of effect of FABP7 gene on trachea, bronchus and lung cancer
Sajede sadat masoudi,1,*Fateme Moradi,2Mohammad Rezaei,3Mansoureh Azadeh,4
1. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran 3. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran 4. Zist Fanavari Novin Biotechnology Institute, Isfahan, Iran
Introduction: Trachea, bronchus and lung cancer is a type of disease characterized by uncontrolled cell growth in the lung tissues. If the disease is not treated, the cell growth can spread outside the lung to nearby tissues or other organs in a process called metastasis. Most cancers that start in the lung, called primary lung cancers, are carcinomas that arise from the lining tissue.[1]
Across the developed world, 90% of lung cancer deaths in men during 2000 were attributable to smoking (70% for women). We pay in this GEO disease.[2]
Methods: First, gene expression was measured compared to normal samples with GSE36820 obtained from the GEO database[3] and then by GEO2R [4] and then from the GEPIA2 database [5] to investigate gene expression (decrease or increase) and the effect of the gene on Death was analyzed. The death rate of patients was measured from the Over survival section.[6] After that, gene ontology was checked using Enrich R database.[7] The resulting data were put into KEEG for pathway enrichment. [8] Based on the String database, the interactions were investigated [9] and also in the Mir walk database, possible miRNA_mRNA interactions were analyzed. [10] The microRNA selected for search was checked in [11] the gender card of lncRRisearch and LncBase databases [12]
Results: Based on the microarray analysis and analysis, FABP7 was associated with an increase in the target sample (p_value>0.000945, log fc=6.85) and in examining the effect on the mortality rate with data such as HR=0.61 We found the PPAR signaling pathway in the EnrichR database; this gene is also involved in pathways such as triglyceride catabolic process, acylglycetol catabolic process, triglyceride metabolic process, and nervous system development.Among the proteins that have interacted with the desired gene, we can mention things like: MAML1, RBPJ and KAT2B.Then, the micro RNA confirmed by the Mirwalk database (has_miR_197_3p) has the characteristics of score=1, which is effective in the discussed cancer.
Conclusion: The lncRNAs resulting from the has_miR_197_3p search, which were XIST and PTENP, were confirmed in the Gen card database.[8]The desired lncRNAs and miRNAs are not without influence in the discussed cancer.