1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Diabetes type 2 and pancreatic cancer share biomarkers
Paper ID : 1100-ICB10
Authors:
Fatemeh Razavi, Zahra Akhlaghi, Atena Zadeh Rokni, Pegah Javid, Mansoureh Azadeh *
Zist Fanavari Novin biotechnology institute
Abstract:
Pancreatic cancer is the 7th cause of death in the world [1]. Pancreatic cancer has no symptoms until advanced stages and TP53 gene effects in 50% of cancers [2]. There are some diseases like diabetes type 2 in which TP53 gene is involved [1]. The aim of this study was to find the shared biomarker between pancreatic cancer and diabetes type 2 through bioinformatics analysis which can be effective to diagnose the disease in earlier stages. For this purpose, the associated Single Nucleotide Polymorphism (SNP) and microRNA with TP53 were found in miRdSNP database. DIANA Tools and LncRNADisease v2.0 databases helped to analyze the data in order to find a related long non-coding RNA (lncRNA) that has interaction with the same miRNA. Venn was used to find the shared effective genes between pancreatic cancer and diabetes and their interaction as well. The results showed that rs17884306 as SNP and has-miR-22-3p can interact on TP53 leading to pancreatic cancer. The lncRNA: AC060780.1 in pancreas tissue has also interaction with has-miR-22-3p which results in diabetes type 2. In addition, the lnc MALAT was investigated as the mutual one in both diseases. Moreover, the mutual genes including ACASB, NT5E, TEME237, MYC, PHLDA1 were obtained through Venn diagrams in the process of pancreatic cancer and diabetes type 2. Based on the current study and results, it is concluded that rs17884306 could be a useful biomarker to diagnose pancreatic cancer. The has-miR-22-3p and MALAT can prove that diabetes type 2 can be an underlying disease for pancreatic cancer, and they can be useful to diagnose pancreatic cancer in patient who have diabetics type 2.
Keywords:
TP53; rs17884306; has-miR-22-3p; AC060780.1; MALAT
Status : Paper Accepted (Poster Presentation)