همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

ATIC as a Theranostic Biomarker in Gastrointestinal Cancers: Insights from Autophagy Pathway Analysis

نویسندگان :

Pooya Jalali¹ Maryam Eghbali² Zahra Eghabli³ Yasaman Gholinezhad⁴ Zahra Salehi⁵

1- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 2- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran 3- Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran 4- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran 5- Hematology, Oncology and Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran

کلمات کلیدی :

Gastrointestinal cancer،Theranostic Biomarker،Autophagy-related gene،ATIC،Bioinformatics analysis

چکیده :

Gastrointestinal (GI) cancers are the cause of the over one-third (35.4%) of cancer-related deaths and over one-quarter (26%) of the global cancer incidence. Autophagy, a cellular degradation process, plays dual roles in tumorigenesis, acting as both a tumor suppressor and promoter depending on context. This study aimed to identify Autophagy related genes (ARGs) which were differentially expressed in tumor tissues compared to normal tissues across different types of gastrointestinal cancers. Autophagy-related genes (ARGs) were analyzed across gastrointestinal cancers (Esophageal, Gastric, Pancreatic, Colon, Rectal, and Liver) using GEPIA2 and GEO databases. Differentially expressed genes (DEGs) were identified with thresholds of |log2 Fold Change| > 1 and adjusted P-value < 0.01. Prognostic value and diagnostic accuracy were evaluated. The protein-protein interaction network (PPI) was constructed and Gene set enrichment, Genetic alterations, immune correlations, the competitive endogenous RNA network (ceRNA) and drug-gene interactions were investigated using different databases. Among 232 identified ARGs, ATIC was identified as a common DEG between GI cancer types. Upregulated ATIC expression was significantly correlated with poor overall survival (OS) in patients with LIHC. ATIC gene expression served as a potential diagnostic biomarker in esophageal, gastric, cholangiocarcinoma, colon, rectal, and pancreatic cancers. Furthermore, approximately all immunoinhibitors demonstrated a significant correlation with ATIC expression in GI cancers. By analyzing ATIC-drug interactions, Pemetrexed Disodium had the highest interaction with ATIC gene expression. Finally, ATIC ceRNA network containing 5 miRNAs and 26 lncRNAs that have interaction with identified miRNAs was constructed. This study identifies ATIC as a key autophagy-related gene with significant prognostic, diagnostic, and therapeutic potential across gastrointestinal cancers, highlighting its role in cancer progression and immune regulation.