Profiling metabolic genes and assessing prognosis – the dark horse of helicobacter pylori-mediated gastric cancer

Abstract

Gastric cancer is a multifaceted disease with a high mortality rate, making it a significant global health concern. Its pathogenesis is driven by a complex interplay of genetic mutations, metabolic imbalances, and environmental factors. For majority of the cases of gastric cancer worldwide, Helicobacter pylori infection remains to be the primary cause. This thesis investigates the roles of metabolic genes and their genetic annotations, aiming to uncover novel insights in the context of Helicobacter pylori induced gastric cancer. Through comprehensive profiling and evaluation of metabolic genes in gastric cancer tissues, this study aims to assess genetic annotations to uncover potential biomarkers and therapeutic metabolic targets in gastric cancer. Although metabolic genes are studied in different other types of cancers like cervical cancer, hepatocellular cancer, etc., for finding metabolic therapeutic targets, such research from the perspective of Helicobacter pylori induced gastric cancer is attempted for the first time through this thesis. Advanced bioinformatics tools were employed for clinical meta-analysis high-throughput genomic data, leading to the discovery of several previously underexplored yet strong (“dark horse”) areas that could play crucial parts in the metabolic reprogramming characteristic of gastric-cancer cells. One of the pivotal findings of this research is the identification of specific metabolic pathways that are significantly altered in gastric cancer. These pathways not only contribute to the aggressive nature of gastric cancer but also present probable targets for developing novel, personalized therapeutic strategies and new technologies. Additionally, this thesis explores the genomic architecture of gastric cancer, shedding light upon the mutations and epigenetic changes that drive the deregulation of these metabolic processes. By integrating genetic annotations with metabolic profiles, the thesis provides a more thorough understanding for the molecular mechanisms underlying gastric cancer. The metabolic gene profiling could revolutionize the current approaches to gastric cancer diagnosis and treatment, this work lays the foundation for the development of targeted therapies that could improve the treatment outcomes and alleviate the burden of this debilitating disease.