Differentially expressed genes by microarray analysis in Stomach cancer samples
محل انتشار: دومین کنگره بین المللی کنسرژنومیکس
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 75
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شناسه ملی سند علمی:
ICGCS02_244
تاریخ نمایه سازی: 17 دی 1403
چکیده مقاله:
Background Stomach cancer)STAD) is the fifth most common and dangerous cancer and the third cause of cancer deaths worldwide. Gastric cancer is an important global health concern, especially prevalent in East Asia, with a high mortality rate that warrants urgent research and clinical attention. few decades, although the incidence of gastroesophageal cancer has concomitantly increased. There are two distinct types of gastric adenocarcinoma, intestinal (well-differentiated) and diffuse (undifferentiated), which have a distinct morphologic appearance, pathogenesis, and genetic profiles. Early diagnosis, use of staging, grading and genetic testing for personalized treatment approaches are emphasized. Treatment methods include surgery, chemotherapy, radiation therapy, some of the treatments. Prevention options include lifestyle changes, screening, and genetic counseling. Survival rates vary by stage, highlighting the need for individualized care. Consequently, a global collaborative effort is necessary to address the impact of gastric cancer and improve outcomes. Small noncoding RNAs, such as microRNAs, long noncoding RNAs, and piwi RNAs are currently being investigated within gastric cancer as new avenues for biomarker detection. Advances have been made in reducing the effects and treatment of gastric cancer, but many problems remain Methoods Initially, the NCBI Gene Expression Omnibus (GEO) was selected to obtain the desired GSE (GSE۹۶۶۶۹), and thus the gene expression profile was analyzed by R Studio to search for differentially expressed genes in STAD tissue compared to the control group. Therefore, BUB۳ were selected for further studies. Pathways related to BUB۳ genes were selected from the GEPIA۲ and ENCORI database. Then, the free online prediction software miRWalk ۳.۰ was used to select different target miRNAs, and dbSNP and HOPEdatabase snp experimental and predictive modules were used to identify the list of snp. Conclution As a result of this study, concluded that hsa-miR-۱۷-۵p, hsa-miR-۳۰c-۲-۳p. miRNAs act as a tumor suppressor in STAD by inhibiting the function of, and eventually represses the BUB۳ gene which is an important gene for metabolism and biosynthesis. Therefore, this result may be considered as a potential therapeutic purpose for STAD patients. Results According to GEO analysis of GSE۹۶۶۶۹ were indicated ۴۳۸۷۰ up and down regulated genes. Among all these genes BUB۳ was considered as a Upregulated gene that related to STAD and also Regulation Of Pathway-Restricted Phosphorylation(revealed by Enrichr). And miRNAs related to BUB۳ were determined by using the Free Online prediction software miRWalk ۳.۰ Including hsa-miR-۱۷-۵p, hsa-miR-۳۰c-۲-۳p.
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