Lipid metabolism-related genes in gastric cancer: Exploring oncogenic pathways

Table 2 Technologies employed to study the role of lipid metabolism-associated genes in gastric cancer

Technology	Description	Uses and importance in GC
Mass spectrometry	Analytical technique identifying molecules based on their mass-to-charge ratio. It provides quantitative and qualitative analysis of compounds in a sample	Detects biomarkers and metabolic alterations in GC tissues. Characterizing the metabolic profile of GC cells for personalized treatment strategies
Single-cell RNA sequencing	Molecular biology technique enabling transcriptomic analysis of individual cells, revealing gene expression patterns and cellular heterogeneity	Identifies distinct cell populations within gastric tumors, aiding in understanding tumor heterogeneity. Uncovering gene expression changes associated with cancer progression and metastasis
The Cancer Genome Atlas	Comprehensive database containing genomic, transcriptomic, and clinical data from various cancers, including GC	Provides insights into genetic alterations, molecular subtypes, and pathways involved in GC development. Facilitating the discovery of potential therapeutic targets and biomarkers for diagnosis and prognosis

GC: Gastric cancer.